Titles Starting with u

* U-ATSS: A lightweight and accurate one-stage underwater object detection network
* U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search
* U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps
* U-CatcHCC: An Accurate HCC Detector in Hepatic DCE-MRI Sequences Based on an U-Net Framework
* U-Convnext Network for Infrared Small Target Detection
* U-curve: A branch-and-bound optimization algorithm for U-shaped cost functions on Boolean lattices applied to the feature selection problem
* U-DADA: Unsupervised Deep Action Domain Adaptation
* U-Deepdig: Scalable Deep Decision Boundary Instance Generation
* U-Drumwave: An Interactive Performance System for Drumming
* U-Former: Improving Monaural Speech Enhancement with Multi-head Self and Cross Attention
* U-FPNDet: A one-shot traffic object detector based on U-shaped feature pyramid module
* U-LanD: Uncertainty-Driven Video Landmark Detection
* U-Match: Exploring Hierarchy-Aware Local Context for Two-View Correspondence Learning
* U-Module: Better Parameters Initialization of Convolutional Neural Network for Medical Image Classification
* U-Mosquitto: extension of Mosquitto broker for delivery of urgent MQTT message
* U-Net-Id, an Instance Segmentation Model for Building Extraction from Satellite Images: Case Study in the Joanópolis City, Brazil
* U-Net Approach for InSAR Phase Unwrapping and Denoising, A
* U-Net Based Discriminator for Generative Adversarial Networks, A
* U-Net Based Multi-Scale Deformable Convolution Network for Seismic Random Noise Suppression, A
* U-Net based skeletonization and bag of tricks
* U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery
* U-Net for Taiwan Shoreline Detection from SAR Images
* U-Net Model-Based Classification and Description of Brain Tumor in MRI Images
* U-Noise: Learnable Noise Masks for Interpretable Image Segmentation
* U-NORM Likelihood Normalization in PIN-Based Speaker Verification Systems
* U-PC: Unsupervised Planogram Compliance
* U-Phylogeny: Undirected provenance graph construction in the wild
* U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
* U-Segnet: Fully Convolutional Neural Network Based Automated Brain Tissue Segmentation Tool
* U-Shape Transformer for Underwater Image Enhancement
* U-Shaped Convolution-Aided Transformer with Double Attention for Hyperspectral Image Classification, A
* U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR Images
* U-shaped Networks for Shape from Light Field
* U-Tell: Unsupervised Task Expert Lifelong Learning
* U-TPE: A universal approximate thumbnail-preserving encryption method for lossless recovery
* U-Transformer-based multi-levels refinement for weakly supervised action segmentation
* U-Turn: Crafting Adversarial Queries with Opposite-Direction Features
* U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
* U-WeAr: User Recognition on Wearable Devices through Arm Gesture
* U Can't (re)Touch This: A Deep Learning Approach for Detecting Image Retouching
* U. S. cities pilot connected-vehicle tech: Enabling conventional vehicles to communicate could save lives right now
* U. V. Helava Award: Best Paper Volumes 159-170 (2020), The
* U. V. Helava Award: Best Paper Volumes 183-194 (2022), The
* U. V. Helava Award: Best Paper Volumes 87-98 (2014), The
* U.PH.O and MAGO: Two Useful Instruments in Support of Photogrammetric UAV Survey
* U.S. Geological Survey
* U.S. speed limit sign detection and recognition from image sequences
* U_Boost: Boosting with the Universum
* U²-Former: Nested U-Shaped Transformer for Image Restoration via Multi-View Contrastive Learning
* U2-Net: Going deeper with nested U-structure for salient object detection
* U2-ONet: A Two-Level Nested Octave U-Structure Network with a Multi-Scale Attention Mechanism for Moving Object Segmentation
* U2D2Net: Unsupervised Unified Image Dehazing and Denoising Network for Single Hazy Image Enhancement
* U2Eyes: A Binocular Dataset for Eye Tracking and Gaze Estimation
* U2Fusion: A Unified Unsupervised Image Fusion Network
* U2RLE: Uncertainty-Guided 2-Stage Room Layout Estimation
* U3DS3: Unsupervised 3D Semantic Scene Segmentation
* U3PT: A New Dataset for Unconstrained 3D Pose Tracking Evaluation
* U4D: Unsupervised 4D Dynamic Scene Understanding
* UA-DETRAC 2017: Report of AVSS2017 IWT4S Challenge on Advanced Traffic Monitoring
* UA-DETRAC Benchmark Suite
* UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking
* UAC: An Uncertainty-Aware Face Clustering Algorithm
* UACENet: Uncertain area attention and cross-image context extraction network for polyp segmentation
* UACI: Uncertain associative classifier for object class identification in images
* UAFer: A Unified Model for Class-Agnostic Binary Segmentation With Uncertainty-Aware Feature Reassembly
* UAHOI: Uncertainty-aware robust interaction learning for HOI detection
* UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion
* UAS-Based 3D Image Characterization of Mozarabic Church Ruins in Bobastro (Malaga), Spain, The
* UAS-based automatic bird count of a common gull colony
* UAS-Based Change Detection of the Glacial and Proglacial Transition Zone at Pasterze Glacier, Austria
* UAS-Based Real-Time Detection of Red-Cockaded Woodpecker Cavities in Heterogeneous Landscapes Using YOLO Object Detection Algorithms
* UAS-Borne Radar for Autonomous Navigation and Surveillance Applications
* UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops
* UAS-SfM for Coastal Research: Geomorphic Feature Extraction and Land Cover Classification from High-Resolution Elevation and Optical Imagery
* UAS and Machine Learning Classification Approach to Suitability Prediction of Expanding Natural Habitats for Endangered Flora Species, A
* UAS Based Tree Species Identification Using The Novel FPI Based Hyperspectral Cameras In Visible, NIR and SWIR Spectral Ranges
* UAS Data Acquisition Protocol for Marine Habitat Mapping: An Accuracy Assessment Study
* UAS for Archaeology: New Perspectives on Aerial Documentation
* UAS for Wetland Mapping and Hydrological Modeling
* UAS Identify and Monitor Unusual Small-Scale Rhythmic Features in the Bay of Cádiz (Spain)
* UAS Imagery-Based Mapping of Coarse Wood Debris in a Natural Deciduous Forest in Central Germany (Hainich National Park)
* UAS Mapping as an alternative for land surveying techniques?
* UAS Quality Control and Crop Three-Dimensional Characterization Framework Using Multi-Temporal LiDAR Data
* UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching
* UAT: Unsupervised object tracking based on graph attention information embedding
* UATNet: U-Shape Attention-Based Transformer Net for Meteorological Satellite Cloud Recognition
* UATVR: Uncertainty-Adaptive Text-Video Retrieval
* UAV- and Machine Learning-Based Retrieval of Wheat SPAD Values at the Overwintering Stage for Variety Screening
* UAV-Aided Weather Radar Calibration
* UAV-Assisted Content Delivery in Intelligent Transportation Systems-Joint Trajectory Planning and Cache Management
* UAV-assisted data dissemination based on network coding in vehicular networks
* UAV-Assisted Fair Communication for Mobile Networks: A Multi-Agent Deep Reinforcement Learning Approach
* UAV-Assisted Physical Layer Security in Multi-Beam Satellite-Enabled Vehicle Communications
* UAV-Assisted Privacy-Preserving Online Computation Offloading for Internet of Things
* UAV-Assisted RSUs for V2X Connectivity Using Voronoi Diagrams in 6G+ Infrastructures
* UAV-Assisted Thermal Infrared and Multispectral Imaging of Weed Canopies for Glyphosate Resistance Detection
* UAV-Assisted Wide Area Multi-Camera Space Alignment Based on Spatiotemporal Feature Map
* UAV-Assisted Wireless-Powered Two-Way Communications
* UAV-based 3d Virtual Tour Creation
* UAV-Based Acquisition of 3D Point Cloud: A Comparison of a Low-Cost Laser Scanner and SFM-Tools
* UAV-Based Automatic Detection and Monitoring of Chestnut Trees
* UAV-based Automatic Tree Growth Measurement For Biomass Estimation
* UAV-Based Autonomous Image Acquisition with Multi-view Stereo Quality Assurance by Confidence Prediction
* UAV-Based Biomass Estimation for Rice-Combining Spectral, TIN-Based Structural and Meteorological Features
* Uav-based Cadastral Mapping: An Assessment of The Impact of Flight Parameters and Ground Truth Measurements On The Absolute Accuracy Of Derived Orthoimages
* UAV-Based Characterization of Tree-Attributes and Multispectral Indices in an Uneven-Aged Mixed Conifer-Broadleaf Forest
* UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment
* UAV-Based Disease Detection in Palm Groves of Phoenix canariensis Using Machine Learning and Multispectral Imagery
* UAV-Based Estimate of Snow Cover Dynamics: Optimizing Semi-Arid Forest Structure for Snow Persistence
* UAV-Based Estimation of Grain Yield for Plant Breeding: Applied Strategies for Optimizing the Use of Sensors, Vegetation Indices, Growth Stages, and Machine Learning Algorithms
* UAV-Based Forest Health Monitoring: A Systematic Review
* UAV-Based Heating Requirement Determination for Frost Management in Apple Orchard
* UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras
* UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence
* UAV-based Hyperspectral Data Analysis for Urban Area Mapping
* UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce
* UAV-Based Hyperspectral Imaging for River Algae Pigment Estimation
* UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor Crop Growth Variability
* UAV-Based Land Cover Classification for Hoverfly (Diptera: Syrphidae) Habitat Condition Assessment: A Case Study on Mt. Stara Planina (Serbia)
* UAV-Based LiDAR for High-Throughput Determination of Plant Height and Above-Ground Biomass of the Bioenergy Grass Arundo donax
* UAV-based Lidar High-resolution Snow Depth Mapping in the Swiss Alps: Comparing Flat and Steep Forests
* UAV-Based LiDAR Scanning for Individual Tree Detection and Height Measurement in Young Forest Permanent Trials
* UAV-Based Low-Cost Stereo Camera System for Archaeological Surveys: Experiences from Doliche (Turkey), A
* UAV-Based Mapping of Banana Land Area for Village-Level Decision-Support in Rwanda
* UAV-Based Monitoring of Pedestrian Groups
* UAV-Based Multi-Sensor Data Fusion for Urban Land Cover Mapping Using a Deep Convolutional Neural Network
* UAV-Based Multi-Temporal Thermal Imaging to Evaluate Wheat Drought Resistance in Different Deficit Irrigation Regimes
* UAV-Based Multispectral Phenotyping for Disease Resistance to Accelerate Crop Improvement under Changing Climate Conditions
* UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras
* UAV-Based Multitemporal Remote Sensing Surveys of Volcano Unstable Flanks: A Case Study from Stromboli
* UAV-based Oblique Photogrammetry for 3d Reconstruction of Transmission Line: Practices and Applications
* UAV-Based Oblique Photogrammetry for Outdoor Data Acquisition and Offsite Visual Inspection of Transmission Line
* UAV-Based Optical Granulometry as Tool for Detecting Changes in Structure of Flood Depositions
* UAV-based panoramic oblique photogrammetry (POP) approach using spherical projection, A
* UAV-Based Phenotyping: A Non-Destructive Approach to Studying Wheat Growth Patterns for Crop Improvement and Breeding Programs
* UAV-Based Photogrammetric Point Clouds: Tree Stem Mapping in Open Stands in Comparison to Terrestrial Laser Scanner Point Clouds
* UAV-Based Photogrammetric Tree Height Measurement for Intensive Forest Monitoring
* UAV-Based Photogrammetry and Infrared Thermography Applied to Rock Mass Survey for Geomechanical Purposes
* UAV-based Photogrammetry for Archaeological Heritage Site Survey and 3d Modeling of The Sardus Pater Temple (Italy)
* UAV-based photogrammetry: monitoring of a building zone
* UAV-Based Point Cloud Generation for Open-Pit Mine Modelling
* UAV-Based Quantification of Dynamic Lahar Channel Morphology at Volcan de Fuego, Guatemala
* UAV-Based Remote Sensing Applications for Bridge Condition Assessment
* UAV-Based Remote Sensing for Detection and Visualization of Partially-Exposed Underground Structures in Complex Archaeological Sites
* UAV-Based Remote Sensing for Managing Alaskan Native Heritage Landscapes in the Yukon-Kuskokwim Delta
* UAV-based Remote Sensing Of Landslides
* UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning
* UAV-Based Single-Lens Stereoscopic Photography Method for Phenotyping the Architecture Traits of Orchard Trees, A
* UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks
* Uav-based Structural Damage Mapping - Results From 6 Years of Research In Two European Projects
* UAV-Based Structural Damage Mapping: A Review
* UAV-Based Terrain Modeling in Low-Vegetation Areas: A Framework Based on Multiscale Elevation Variation Coefficients
* UAV-Based Terrain Modeling under Vegetation in the Chinese Loess Plateau: A Deep Learning and Terrain Correction Ensemble Framework
* UAV-based Thermal Anomaly Detection for Distributed Heating Networks
* UAV-based Visual Remote Sensing for Automated Building Inspection
* UAV-Borne 3-D Mapping System by Multisensor Integration
* UAV-Borne Hyperspectral Imaging Remote Sensing System Based on Acousto-Optic Tunable Filter for Water Quality Monitoring
* UAV-Borne Imagery Can Supplement Airborne Lidar in the Precise Description of Dynamically Changing Shrubland Woody Vegetation
* UAV-Borne LiDAR Crop Point Cloud Enhancement Using Grasshopper Optimization and Point Cloud Up-Sampling Network
* UAV-Borne Profiling Radar for Forest Research
* UAV-Borne Thermal Imaging for Forest Health Monitoring: Detection of Disease-Induced Canopy Temperature Increase
* UAV-Derived Data Application for Environmental Monitoring of the Coastal Area of Lake Sevan, Armenia with a Changing Water Level
* UAV-Derived Multispectral Bathymetry
* UAV-Enabled Intelligent Connected Transportation System With 6G Communications for Internet of Vehicles, An
* UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition
* UAV-Ground Visual Tracking: A Unified Dataset and Collaborative Learning Approach
* UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
* UAV-Hyperspectral Imaging to Estimate Species Distribution in Salt Marshes: A Case Study in the Cadiz Bay (SW Spain)
* UAV-IoT for Next Generation Virtual Reality
* UAV-LiDAR-Based Measuring Framework for Height and Stagger of High-Speed Railway Contact Wire
* UAV-LiDAR and RGB Imagery Reveal Large Intraspecific Variation in Tree-Level Morphometric Traits across Different Pine Species Evaluated in Common Gardens
* UAV-LiDAR Integration with Sentinel-2 Enhances Precision in AGB Estimation for Bamboo Forests
* UAV-LiDAR Measurement of Vegetation Canopy Structure Parameters and Their Impact on Land-Air Exchange Simulation Based on Noah-MP Model
* UAV-Mounted GPR for Object Detection Based on Cross-Correlation Background Subtraction Method
* UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagery
* UAV-Satellite View Synthesis for Cross-View Geo-Localization
* UAV-Spherical Data Fusion Approach to Estimate Individual Tree Carbon Stock for Urban Green Planning and Management
* UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications
* UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil
* UAV + BIM: Incorporation of Photogrammetric Techniques in Architectural Projects with Building Information Modeling Versus Classical Work Processes
* UAV Aerial Image Generation of Crucial Components of High-Voltage Transmission Lines Based on Multi-Level Generative Adversarial Network
* UAV Aerial Photography Technology in Island Topographic Mapping
* UAV Aerial Survey: Accuracy Estimation For Automatically Generated Dense Digital Surface Model And Orthothoto Plan
* UAV and Close-range Photogrammetry to Support Geo-mechanical Analysis In Safety Road Management: the Vallone d'Elva Road
* UAV and GIS Based Tool For Collection And Propagation Of Seeds Material: First Results
* UAV and GPR Data Integration in Glacier Geometry Reconstruction: A Case Study from Irenebreen, Svalbard
* UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat
* UAV and Lidar Image Registration: a Surf-based Approach for Ground Control Points Selection
* UAV and Satellite Imagery Applied to Alien Species Mapping in NW Spain
* UAV and Satellite Multispectral Data Approach to Monitor Water Quality in Small Reservoirs, An
* UAV anti-collision visual detection algorithm
* UAV Application in Coastal Environment, Example of the Oleron Island for Dunes and Dikes Survey
* UAV Application in Post-Seismic Environment
* UAV Applications for Determination of Land Deformations Caused by Underground Mining
* UAV Assisted Traffic Offloading in Air Ground Integrated Networks With Mixed User Traffic
* UAV Autonomous Warehouse Inventorying by Deep Learning, An
* UAV Based 3-d Positioning Framework For Detecting Locations Of Buried Persons In Collapsed Disaster Area, A
* UAV based adaptive trajectory tracking control with input saturation and unknown time-varying disturbances
* UAV Based Estimation of Forest Leaf Area Index (LAI) through Oblique Photogrammetry
* Uav Based Multi Seasonal Deciduous Tree Species Analysis in The Hainich National Park Using Multi Temporal and Point Cloud Curvature Features
* UAV Block Georeferencing and Control by On-Board GNSS Data
* UAV Borne Low Altitude Photogrammetry System
* UAV Capability to Detect and Interpret Solar Radiation as a Potential Replacement Method to Hemispherical Photography
* UAV Cinematography Constraints Imposed by Visual Target Tracking
* UAV Classification with Deep Learning Using Surveillance Radar Data
* UAV Complex-Scene Single-Target Tracking Based on Improved Re-Detection Staple Algorithm
* UAV Data as an Alternative to Field Sampling to Monitor Vineyards Using Machine Learning Based on UAV/Sentinel-2 Data Fusion
* UAV Data Processing for Large Scale Topographical Mapping
* UAV Data Processing for Rapid Mapping Activities
* UAV Direct Georeferencing Approach in An Emergency Mapping Context. The 2016 Central Italy Earthquake Case Study
* UAV Enabled Content Distribution for Internet of Connected Vehicles in 5G Heterogeneous Networks
* UAV First View Landmark Localization via Deep Reinforcement Learning
* UAV first view landmark localization with active reinforcement learning
* UAV Flight Experiments Applied to the Remote Sensing of Vegetated Areas
* UAV for Mapping Historic Buildings: from 3D Modelling to BIM
* UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments
* UAV image analysis for leakage detection in district heating systems using machine learning
* UAV Image Based Crop and Weed Distribution Estimation on Embedded GPU Boards
* UAV Image Blur: Its Influence and Ways to Correct It
* UAV Image Fast Geocoding Method for Disaster Scene Monitoring
* UAV image object detection based on self-attention guidance and global feature fusion
* UAV Image Stitching Based on Optimal Seam and Half-Projective Warp
* UAV image stitching by estimating orthograph with RGB cameras
* UAV Images and Deep-learning Algorithms for Detecting Flavescence Doree Disease In Grapevine Orchards
* UAV Imaging At RGB for Crop Condition Monitoring
* UAV Imaging of a Martian Brine Analogue Environment in a Fluvio-Aeolian Setting
* UAV Implementations in Urban Planning and Related Sectors of Rapidly Developing Nations: A Review and Future Perspectives for Malaysia
* UAV in the advent of the twenties: Where we stand and what is next
* UAV Laser Scans Allow Detection of Morphological Changes in Tree Canopy
* UAV LiDAR and Hyperspectral Data Synergy for Tree Species Classification in the Maoershan Forest Farm Region
* UAV LiDAR Based Approach for the Detection and Interpretation of Archaeological Micro Topography under Canopy: The Rediscovery of Perticara (Basilicata, Italy)
* UAV LIDAR Data Processing: Influence of Flight Height on Geometric Accuracy, Radiometric Information and Parameter Setting In DTM Production
* UAV LiDAR Survey for Archaeological Documentation in Chiapas, Mexico
* UAV Linear Photogrammetry
* UAV Localization Using Panoramic Thermal Cameras
* UAV Low-Altitude Aerial Image Stitching Based on Semantic Segmentation and ORB Algorithm for Urban Traffic
* UAV Low-Altitude Remote Sensing Inspection System Using a Small Target Detection Network for Helmet Wear Detection
* UAV Low Altitude Photogrammetry for Power Line Inspection
* UAV Maneuvering Target Tracking in Uncertain Environments Based on Deep Reinforcement Learning and Meta-Learning
* UAV Mapping of the Chlorophyll Content in a Tidal Flat Wetland Using a Combination of Spectral and Frequency Indices
* UAV Mission Planning for Automatic Exploration and Semantic Mapping
* UAV Monitoring For Enviromental Management In Galapagos Islands
* UAV Multi-object Tracking by Combining Two Deep Neural Architectures
* UAV Multispectral Image-Based Urban River Water Quality Monitoring Using Stacked Ensemble Machine Learning Algorithms: A Case Study of the Zhanghe River, China
* UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health
* UAV Multispectral Imagery Combined with the FAO-56 Dual Approach for Maize Evapotranspiration Mapping in the North China Plain
* Uav Multispectral Survey To Map Soil And Crop For Precision Farming Applications
* UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds
* UAV Onboard GPS in Positioning Determination
* UAV Onboard Photogrammetry and GPS Positionning for Earthworks
* UAV Open Dataset of Rice Paddies for Deep Learning Practice, A
* UAV Path or View Planning, Next View
* UAV Path Planning Method for Building Surface Information Acquisition Utilizing Opposition-Based Learning Artificial Bee Colony Algorithm, A
* UAV Photgrammetric Workflows: A Best Practice Guideline
* UAV Photogrammetry-Based 3D Road Distress Detection
* UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points
* UAV Photogrammetry and HBIM for The Virtual Reconstruction of Heritage
* UAV Photogrammetry and VHR Satellite Imagery for Emergency Mapping. The October 2020 Flood In Limone Piemonte (Italy)
* UAV Photogrammetry for Concrete Bridge Inspection Using Object-Based Image Analysis (OBIA)
* UAV Photogrammetry for Cultural Heritage Preservation Modeling And Mapping Venetian Walls of Bergamo
* UAV Photogrammetry for Mapping and Monitoring of Northern Permafrost Landscapes
* UAV Photogrammetry for Resilience Management in Reconstruction Plan Of Urban Historical Centres After Seismic Events. a Case Study
* UAV photogrammetry for topographic monitoring of coastal areas
* UAV Photogrammetry Implementation to Enhance Land Surveying, Comparisons and Possibilities
* UAV Photogrammetry in Intertidal Mudflats: Accuracy, Efficiency, and Potential for Integration with Satellite Imagery
* UAV Photogrammetry in Remote Areas: 3D Modeling of Drapham Dzong Bhutan
* UAV Photogrammetry of Forests as a Vulnerable Process. A Sensitivity Analysis for a Structure from Motion RGB-Image Pipeline
* UAV Photogrammetry to Monitor Dykes: Calibration and Comparison to Terrestrial Lidar
* UAV Photogrammetry With Oblique Images: First Analysis On Data Acquisition And Processing
* UAV Photogrammetry: Block Triangulation Comparisons
* UAV Positioning and Collision Avoidance Based on RSS Measurements
* UAV Propeller Rotational Speed Measurement through FMCW Radars
* UAV Quantitative Remote Sensing of Riparian Zone Vegetation for River and Lake Health Assessment: A Review
* UAV Recognition Based on Micro-Doppler Dynamic Attribute-Guided Augmentation Algorithm
* UAV Remote Sensing Estimation of Rice Yield Based on Adaptive Spectral Endmembers and Bilinear Mixing Model
* UAV Remote Sensing for Biodiversity Monitoring: Are Forest Canopy Gaps Good Covariates?
* UAV Remote Sensing for Detecting within-Field Spatial Variation of Winter Wheat Growth and Links to Soil Properties and Historical Management Practices. A Case Study on Belgian Loamy Soil
* UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques
* UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis
* UAV Remote Sensing Image Automatic Registration Based on Deep Residual Features
* UAV Remote Sensing Image Dehazing Based on Saliency Guided Two-Scaletransmission Correction
* UAV Remote Sensing Prediction Method of Winter Wheat Yield Based on the Fused Features of Crop and Soil
* UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions
* UAV RTK/PPK Method: An Optimal Solution for Mapping Inaccessible Forested Areas?
* UAV scheduling and planning method for post-disaster survey, An
* UAV small target detection algorithm based on an improved YOLOv5s model
* UAV Strategies Validation and Remote Sensing Data for Damage Assessment In Post-disaster Scenarios
* UAV Survey for The Archaeological Map of Lilybaeum (Marsala, Italy)
* UAV Surveying For A Complete Mapping And Documentation Of Archaeological Findings. The Early Neolithic Site Of Portonovo
* UAV Swarm Scheduling Method for Remote Sensing Observations during Emergency Scenarios
* UAV Swarm Target Identification and Quantification Based on Radar Signal Independency Characterization
* UAV Target Tracking with A Boundary-Decision Network
* UAV Thermal Images for Water Presence Detection in a Mediterranean Headwater Catchment
* UAV Thermal Imaging for Unexploded Ordnance Detection by Using Deep Learning
* UAV Time-Domain Electromagnetic System and a Workflow for Subsurface Targets Detection
* UAV Tracking, UAV Detection Techniques
* UAV Trajectory Planning With Probabilistic Geo-Fence via Iterative Chance-Constrained Optimization
* UAV UWB Positioning Close to Building Facades: A Case Study
* UAV Video-Based Approach to Identify Damaged Trees in Windthrow Areas
* UAV Video Dataset for Mosaicking and Change Detection From Low-Altitude Flights, A
* UAV, GNSS, and InSAR Data Analyses for Landslide Monitoring in a Mountainous Village in Western Greece
* UAV/satellite Multiscale Data Fusion for Crop Monitoring and Early Stress Detection
* UAV@LGL: Pilotstudie zum Einsatz von UAV im Rahmen der Landesvermessung in Deutschland
* UAVD4L: A Large-Scale Dataset for UAV 6-DoF Localization
* UAVformer: A Composite Transformer Network for Urban Scene Segmentation of UAV Images
* UAVid: A semantic segmentation dataset for UAV imagery
* UAVision: A Modular Time-Constrained Vision Library for Color-Coded Object Detection
* UAVM: Towards Unifying Audio and Visual Models
* UAVRC, A Generic MAV Flight Assistance Software
* UAVs and 3D City Modeling to Aid Urban Planning and Historic Preservation: A Systematic Review
* Uavs Enhanced Navigation in Outdoor Gnss Denied Environment Using Uwb And Monocular Camera Systems
* UAVs for Science in Antarctica
* UAVS For The Documentation Of Archaeological Excavations
* UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions
* uAVS2: Fast encoder for the 2nd generation IEEE 1857 video coding standard
* UAVSAR Polarimetric Calibration
* UAVSensor Fusion with Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation
* UAVSwarm Dataset: An Unmanned Aerial Vehicle Swarm Dataset for Multiple Object Tracking
* UavTinyDet: Tiny Object Detection in UAV Scenes
* UB-FineNet: Urban building fine-grained classification network for open-access satellite images
* UB KinFace Database
* UBathy (v2.0): A Software to Obtain the Bathymetry from Video Imagery
* UBathy: A New Approach for Bathymetric Inversion from Video Imagery
* Uber die Stetige Abbildung einer Linie auf ein Flachenstck
* Uber Movement Data: A Proxy for Average One-way Commuting Times by Car
* UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory
* UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress
* Ubiquitous digital photogrammetry by consumer grade digital camera
* Ubiquitous Document Capturing with Deep Learning
* Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods
* Ubiquitous Home: Retrieval of Experiences in a Home Environment
* Ubiquitous Intelligent Cameras: Between Legal Nightmare and Social Empowerment
* Ubiquitous Intelligent Sensing System for a Smart Home
* Ubiquitous Interactive Visualization of 3-D Mantle Convection through Web Applications Using Java
* Ubiquitous iris recognition by means of mobile devices
* Ubiquitous Multimedia: Emerging Research on Multimedia Computing
* Ubiquitously Supervised Subspace Learning
* UBIRIS database
* UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance, The
* UBIRIS: A Noisy Iris Image Database
* UBM-Based Reference Space for Speaker Recognition, An
* UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
* UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection
* UC-former: A multi-scale image deraining network using enhanced transformer
* UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
* UC-OWOD: Unknown-Classified Open World Object Detection
* UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training
* UCalib: Cameras Autocalibration on Coastal Video Monitoring Systems
* UCC: Uncertainty guided Cross-head Cotraining for Semi-Supervised Semantic Segmentation
* UCCTGAN: Unsupervised Clothing Color Transformation Generative Adversarial Network
* UCD Colour Face Image Database for Face Detection, The
* UCDnet: Double U-Shaped Segmentation Network Cascade Centroid Map Prediction for Infrared Weak Small Target Detection
* UCF-ARG
* UCF-CAP, Video Captioning in the Wild
* UCF-iPhone
* UCF Action Recogniton Dataset 101
* UCF Action Recogniton Dataset 50
* UCF Aerial Action Dataset
* UCF Parking Lot Tracking
* UCF Sports Action Dataset
* UCF: Uncovering Common Features for Generalizable Deepfake Detection
* UCF101: A Dataset of 101 Human Action Classes from Videos in The Wild
* UCM-Net: A U-Net-Like Tampered-Region-Related Framework for Copy-Move Forgery Detection
* UcoSLAM: Simultaneous localization and mapping by fusion of keypoints and squared planar markers
* UCSNet: Priors Guided Adaptive Compressive Sensing Framework for Underwater Images
* UCSwin-UNet model for medical image segmentation based on cardiac haemangioma
* UCT-GAN: underwater image colour transfer generative adversarial network
* UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking
* UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation
* UCTNet: Uncertainty-Aware Cross-Modal Transformer Network for Indoor RGB-D Semantic Segmentation
* UCTNet: Uncertainty-guided CNN-Transformer hybrid networks for medical image segmentation
* UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation
* UDA-Net: Densely attention network for underwater image enhancement
* UDAC: Under-Display Array Cameras
* uDAS: An Untied Denoising Autoencoder With Sparsity for Spectral Unmixing
* UDBNET: Unsupervised Document Binarization Network via Adversarial Game
* UDC-UNET: Under-display Camera Image Restoration via U-shape Dynamic Network
* UDCT complex coefficient statistics based rotation invariant texture characterization
* UDE: A Unified Driving Engine for Human Motion Generation
* UDFNET: Unsupervised Disparity Fusion with Adversarial Networks
* UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion
* UDIVA Dataset
* UDNet: Uncertainty-aware deep network for salient object detection
* UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution
* UDR: An Approximate Unbiased Difference-Ratio Edge Detector for SAR Images
* UDTCWT-PHFMs Domain Statistical Image Watermarking Using Vector BW-Type R Distribution
* Uec-foodpix Complete: A Large-scale Food Image Segmentation Dataset
* UEDG:Uncertainty-Edge Dual Guided Camouflage Object Detection
* UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing
* Ufeel: Using haptics and stereo to place landmarks in three-dimensional volumetric images
* UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity
* UFO: Unified Feature Optimization
* Ufo2: A Unified Framework Towards Omni-supervised Object Detection
* UFOD: An AutoML framework for the construction, comparison, and combination of object detection models
* UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
* UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets
* Uformer: A General U-Shaped Transformer for Image Restoration
* UformPose: A U-Shaped Hierarchical Multi-Scale Keypoint-Aware Framework for Human Pose Estimation
* UFSM VO: Stereo Odometry Based on Uniformly Feature Selection and Strictly Correspondence Matching
* UG^2: a Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition
* UGAN-GSAM-IT: Unsupervised Generative Adversarial Network with Generative Self-Attention Method for Image Translation
* UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
* UGC: Unified GAN Compression for Efficient Image-to-Image Translation
* UGESCO - A Hybrid Platform for Geo-Temporal Enrichment of Digital Photo Collections Based on Computational and Crowdsourced Metadata Generation
* UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss
* UGNet: Uncertainty aware geometry enhanced networks for stereo matching
* UGNet: Underexposed Images Enhancement Network based on Global Illumination Estimation
* UGPNet: Universal Generative Prior for Image Restoration
* UGrAD: A graph-theoretic framework for classification of activity with complementary graph boundary detection
* UGraSP: A unified framework for activity recognition and person identification using graph signal processing
* UGRoadUpd: An Unchanged-Guided Historical Road Database Updating Framework Based on Bi-Temporal Remote Sensing Images
* UGV-UAV robust cooperative positioning algorithm with object detection
* UGV
* UHA-CycleGAN: Unpaired hybrid attention network based on CycleGAN for terahertz image super-resolution
* UHaT: Urdu handwritten text dataset
* UHD image reconstruction by estimating interpolation error
* UHD Underwater Image Enhancement via Frequency-spatial Domain Aware Network
* UHD Video Coding: A Light-Weight Learning-Based Fast Super-Block Approach
* UHD Video Super-Resolution Using Low-Rank and Sparse Decomposition
* UHDB11 Database for 3D-2D Face Recognition
* UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation
* UHDNeRF: Ultra-High-Definition Neural Radiance Fields
* UHDTV Image Format for Better Visual Experience
* UHF-RFID-Based Real-Time Vehicle Localization in GPS-Less Environments
* Uhi Estimation Based on Aster and Modis Satellite Imagery: First Results on Strasbourg City, France
* UHR-DeepFMT: Ultra-High Spatial Resolution Reconstruction of Fluorescence Molecular Tomography Based on 3-D Fusion Dual-Sampling Deep Neural Network
* UHRSNet: A Semantic Segmentation Network Specifically for Ultra-High-Resolution Images
* UI Design Recommendations for Multimodal XR Interfaces Using a Collaborative System
* UI Generation for Data Visualisation in Heterogenous Environment
* UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection
* UIALN: Enhancement for Underwater Image With Artificial Light
* UIDEF: A real-world underwater image dataset and a color-contrast complementary image enhancement framework
* UIE-FSMC: Underwater Image Enhancement Based on Few-Shot Learning and Multi-Color Space
* UIEC^2-Net: CNN-based underwater image enhancement using two color space
* UIERL: Internal-External Representation Learning Network for Underwater Image Enhancement
* UIF: An Objective Quality Assessment for Underwater Image Enhancement
* UIGR: Unified Interactive Garment Retrieval
* Uimt: A Framework for Improving Unimodal Inference via Multimodal Training
* UIP-Net: A Decoder-encoder CNN for the Detection and Quantification of Usual Interstitial Pneumoniae Pattern in Lung CT Scan Images
* UIQI: A Comprehensive Quality Evaluation Index for Underwater Images
* UIR-ES: An unsupervised underwater image restoration framework with equivariance and stein unbiased risk estimator
* UIR-Net: A Simple and Effective Baseline for Underwater Image Restoration and Enhancement
* UIT at VBS 2022: An Unified and Interactive Video Retrieval System with Temporal Search
* UIU-Net: U-Net in U-Net for Infrared Small Object Detection
* UJ-FLAC: Unsupervised Joint Feature Learning and Clustering for Dynamic Driving Cycles Construction
* UK British Machine Vision Workshop
* UKF based multi-component phase estimation in digital holographic Moire
* UKIVA: The UK Industrial Vision Association
* Ukiyo-e Rakkan Retrieval System
* UKPGAN: A General Self-Supervised Keypoint Detector
* Ukraine is Riddled with Land Mines: Drones and AI Can Help
* UL-Isomap based nonlinear dimensionality reduction for hyperspectral imagery classification
* UL 4600: What to Include in an Autonomous Vehicle Safety Case
* Ulam Spiral and Prime-Rich Polynomials
* ULAN: A Universal Local Adversarial Network for SAR Target Recognition Based on Layer-Wise Relevance Propagation
* Ulcer detection in wireless capsule endoscopy images
* ULcompress: A Unified low bit-rate image Compression Framework via Invertible Image Representation
* ULG-SLAM: A Novel Unsupervised Learning and Geometric Feature-Based Visual SLAM Algorithm for Robot Localizability Estimation
* ULg multimodality drowsiness database (called DROZY) and examples of use, The
* ULGS II: A High-Performance Field and Laboratory Spectrogoniometer for Measuring Hyperspectral Bidirectional Reflectance Characteristics
* ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding
* ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
* ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
* ULSD: Unified line segment detection across pinhole, fisheye, and spherical cameras
* Ultimate Attribute Opening Segmentation with Shape Information
* Ultimate Display: Where Will All the Pixels Come From?, The
* Ultimate grain filter
* Ultimate Immersive Experience: Panoramic 3D Video Acquisition, The
* Ultimate Leveling Based on Mumford-Shah Energy Functional Applied to Plant Detection
* Ultimate levelings
* Ultimate Opening Combined with Area Stability Applied to Urban Scenes
* Ultimate SLAM
* Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios
* Ultra-Compact Microsystems-Based Confocal Endomicroscope
* Ultra-Fast Automatic License Plate Recognition Approach for Unconstrained Scenarios, An
* ultra-fast human detection method for color-depth camera, An
* Ultra-fast Lensless Computational Imaging through 5D Frequency Analysis of Time-resolved Light Transport
* Ultra-Fast Parallel Contour Tracing, With Application To Thinning
* Ultra-fast tracking based on zero-shift points
* ultra-fast user-steered image segmentation paradigm: Live wire on the fly, An
* Ultra-Fine Grain Steel's Metallurgical Image Restoration Method Based on Improved Water-Growing
* Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning
* Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning
* Ultra-High-Definition Television (Rec. ITU-R BT.2020): A Generational Leap in the Evolution of Television
* Ultra-High-Resolution 1 m/pixel CaSSIS DTM Using Super-Resolution Restoration and Shape-from-Shading: Demonstration over Oxia Planum on Mars
* Ultra-High-Resolution UAV-Based Detection of Alternaria solani Infections in Potato Fields
* Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization
* Ultra-high-speed digital filtering algorithm for video signal processing
* Ultra-High-Throughput VLSI Architecture of H.265/HEVC CABAC Encoder for UHDTV Applications
* Ultra-High Resolution Image Segmentation via Locality-Aware Context Fusion and Alternating Local Enhancement
* Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark
* Ultra-high Spatial Resolution Uav-based Imagery to Predict Biomass In Temperate Grasslands
* Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via Spiking Neuron Model
* Ultra-Light Aircraft-Based Hyperspectral and Colour-Infrared Imaging to Identify Deciduous Tree Species in an Urban Environment
* Ultra-Low-Power Contrast-Based Integrated Camera Node and its Application as a People Counter, An
* Ultra-Low Bitrate Video Conferencing Using Deep Image Animation
* Ultra-Low Complexity and High Efficiency Approach for Lossless Alpha Channel Coding, An
* Ultra-Low Complexity Block-Based Lane Detection and Departure Warning System
* Ultra-Low Power QRS Complex Detection Algorithm Based on Down-Sampling Wavelet Transform, An
* Ultra-Low Sidelobe Waveforms Design for LPI Radar Based on Joint Complementary Phase-Coding and Optimized Discrete Frequency-Coding
* Ultra-Rapid Scene Categorization with a Wave of Spikes
* Ultra-Resolution Features Extraction Suite for Community-Level Vegetation Differentiation and Mapping at a Sub-Meter Resolution, An
* Ultra-Resolving Face Images by Discriminative Generative Networks
* Ultra-Shallow DoF Imaging Using Faced Paraboloidal Mirrors
* Ultra-Sonic Sensor based Object Detection for Autonomous Vehicles
* ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging
* Ultra-Violet Mie Lidar Observations of Particulates Vertical Profiles in Macao during a Record High Pollution Episode
* Ultra-wide Baseline Aerial Imagery Matching in Urban Environments
* Ultra-wide Baseline Facade Matching for Geo-localization
* Ultra-Wideband and Odometry-Based Cooperative Relative Localization With Application to Multi-UAV Formation Control
* Ultra-wideband continuous-wave random noise arc-SAR
* Ultra-Wideband Imaging via Frequency Diverse Array with Low Sampling Rate
* Ultra-Wideband MIMO Ambiguity Function and Its Factorability
* Ultra-Wideband SAR Interferometry
* Ultra-Widefield OCT Angiography
* Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification
* Ultra Fast GPU Assisted Face Recognition Based on 3D Geometry and Texture Data
* Ultra fast pattern classification by fuzzy logic
* Ultra Fast Structure-aware Deep Lane Detection
* Ultra Fast Symmetry and SIMD-Based Projection-Backprojection (SSP) Algorithm for 3-D PET Image Reconstruction
* Ultra high-definition video coding using bit-depth reduction with image noise reduction and pseudo-contour prevention
* Ultra High Compression For Weather Radar Reflectivity Data Storage and Transmission
* Ultra High Definition video decoding with Motion JPEG XR using the GPU
* Ultra high definition video saliency database
* Ultra High Fidelity Deep Image Decompression with L-Infinity-Constrained Compression
* Ultra Light UAV Systems for The Metrical Documentation of Cultural Heritage: Applications for Architecture and Archaeology
* Ultra Low Bitrate Learned Image Compression by Selective Detail Decoding
* Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications
* Ultra Wide-Band Channel Characterization Using Generalized Gamma Distributions
* Ultra wide band audio visual PHY IEEE 802.15.3c for SPIHT-compressed image transmission
* UltraAugment: Fan-shape and Artifact-based Data Augmentation for 2D Ultrasound Images
* Ultracam Eagle, Details and Insight
* Ultracam Story, The
* Ultrafast 3D Ultrasound Localization Microscopy Using a 32X32 Matrix Array
* Ultrafast Doppler Imaging of Blood Flow Dynamics in the Myocardium
* Ultrafast Endoscopic Ultrasonography With Circular Array
* Ultrafast Facial Tracker Using Generic Cameras with Applications in Intelligent Lifestyle
* Ultrafast optic disc localization using projection of image features
* Ultrafast Synthetic Transmit Aperture Imaging Using Hadamard-Encoded Virtual Sources With Overlapping Sub-Apertures
* Ultrafast Technique of Impulsive Noise Removal with Application to Microarray Image Denoising
* Ultrafast Ultrasound Imaging Using Combined Transmissions With Cross-Coherence-Based Reconstruction
* Ultrafast Ultrasound Imaging With Cascaded Dual-Polarity Waves
* UltraHi-PrNet: An Ultra-High Precision Deep Learning Network for Dense Multi-Scale Target Detection in SAR Images
* Ultrahigh-Definition LCOS Projectors
* Ultrahigh-Field MRI Whole-Slice and Localized RF Field Excitations Using the Same RF Transmit Array
* Ultrahigh-Resolution Panoramic Imaging for Format-Agnostic Video Production
* Ultrahigh-speed imaging reveals nanoscopic single-molecule dynamics
* Ultrahigh-Speed TV Commercial Detection, Extraction, and Matching
* Ultrahigh Resolution Image/Video Matting with Spatio-Temporal Sparsity
* Ultrahigh Resolution Scatterometer Winds near Hawaii
* Ultralow Complexity String Matching Approach to Screen Content Coding in AVS3, An
* Ultramap V3: A Revolution In Aerial Photogrammetry
* Ultramap: The All In One Photogrammetric Solution
* Ultrametric Watersheds
* UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model
* Ultrareliable Short-Packet Communications With Wireless Energy Transfer
* Ultrascale Visualization of Climate Data
* Ultrashort-baseline Persistent Scatterer Radar Interferometry For Subsidence Detection
* Ultrashort Microwave-Pumped Real-Time Thermoacoustic Breast Tumor Imaging System
* Ultrasonic-Frequency-Based Visualization of Columnar Soft Matter Beyond Wavelength Limitations
* Ultrasonic array imaging based on spatial interpolation
* Ultrasonic Arrays for Remote Sensing of Pasture Biomass
* Ultrasonic Assessment of Platelet-Rich Plasma by Digital Signal Processing Techniques
* Ultrasonic Backscatter Signal Processing Technique for the Characterization of Animal Lymph Node
* Ultrasonic Communication Using Consumer Hardware
* Ultrasonic Holography Techniques for Localizing and Imaging Solid Objects
* Ultrasonic Image Formation Using Wide Angle Sensor Arrays and Cross-echo Evaluation
* Ultrasonic image formation: implications for the image processing practitioner
* Ultrasonic image processing based on fusion super-resolution reconstruction of familiar models
* ultrasonic imaging guided medical robot system for microwave ablation therapy, An
* Ultrasonic Imaging
* Ultrasonic liver tissues classification by fractal feature vector based on M -band wavelet transform
* Ultrasonic obstacle detector
* Ultrasonic Periodontal Probing Based on the Dynamic Wavelet Fingerprint
* ultrasonic positioning algorithm based on maximum correntropy criterion extended Kalman filter weighted centroid, An
* Ultrasonic Proximal Sensing of Pasture Biomass
* Ultrasonic pulse shaping with optimal lag filters
* Ultrasonic sensor system for detecting falling objects on railways
* Ultrasonic speckle formation, analysis and processing applied to tissue characterization
* Ultrasonic spectrum analysis for tissue evaluation
* Ultrasonic tomography based on perturbation solutions of the wave equation
* Ultrasonic Visual Sensor for Three-Dimensional Object Recognition Using Neural Networks, An
* Ultrasound-based surgical navigation for percutaneous renal intervention: In vivo measurements and in vitro assessment
* Ultrasound-Driven Kinematic Model of the Heart That Enforces Local Incompressibility, An
* Ultrasound-modulated optical tomography: direct recovery of elasticity distribution from experimentally measured intensity autocorrelation
* Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours
* Ultrasound Aided Vertebral Level Localization for Lumbar Surgery
* Ultrasound And Magnetic Resonance Image Fusion Using A Patch-Wise Polynomial Model
* Ultrasound as a Neurorobotic Interface: A Review
* Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics
* Ultrasound despeckling for active contour segmentation
* Ultrasound Despeckling for Contrast Enhancement
* Ultrasound Despeckling Using an Adaptive Window Stochastic Approach
* Ultrasound Elastography Based on Multiscale Estimations of Regularized Displacement Fields
* Ultrasound Elastography: A Dynamic Programming Approach
* Ultrasound for Gaze Estimation
* Ultrasound Guidance for Beating Heart Mitral Valve Repair Augmented by Synthetic Dynamic CT
* Ultrasound image analysis for myopathy detection
* Ultrasound Image Coding Based on Subband Decomposition and Speckle Synthesis
* Ultrasound Image Denoising by Spatially Varying Frequency Compounding
* Ultrasound Image Despeckling Method Based on Weighted Adaptive Bilateral Filter, An
* Ultrasound Image Despeckling Using Stochastic Distance-Based BM3D
* Ultrasound Image Enhancement Using Structure Oriented Adversarial Network
* Ultrasound image guided patient setup for prostate cancer conformal radiotherapy
* Ultrasound Image Improvement by Code Bit Elongation
* Ultrasound image reconstruction using the finite-rate-of-innovation principle
* Ultrasound Image Restoration Using Weighted Nuclear Norm Minimization
* Ultrasound Image Segmentation Using a Point Distribution Model in a Bayesian Framework
* Ultrasound image segmentation with multilevel threshold based on differential search algorithm
* Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation
* Ultrasound Image Segmentation: A Survey
* Ultrasound Imaging Based on Multiple Beamforming with Coded Excitation
* Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation
* Ultrasound Imaging Simulation and Echocardiographic Image Synthesis
* Ultrasound Imaging System for Control of an Automated Carcass Splitting Machine, An
* Ultrasound Imaging with Microbubbles
* Ultrasound kidney segmentation with a global prior shape
* Ultrasound Matrix Imaging: Part I: The Focused Reflection Matrix, the F-Factor and the Role of Multiple Scattering
* Ultrasound Matrix Imaging: Part II: The Distortion Matrix for Aberration Correction Over Multiple Isoplanatic Patches
* Ultrasound measurement of brachial flow-mediated vasodilator response
* Ultrasound median nerve localization by classification based on despeckle filtering and feature selection
* Ultrasound Medical Imaging Techniques: A Survey
* Ultrasound Myocardial Tracking with Speckle Reducing Anisotropic Diffusion Assisted Initialization
* Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation
* Ultrasound Plaque Enhanced Activity Index for Predicting Neurological Symptoms
* Ultrasound RF Time Series for Classification of Breast Lesions
* Ultrasound Shear Elastography With Expanded Bandwidth (USEWEB): A Novel Method for 2D Shear Phase Velocity Imaging of Soft Tissues
* Ultrasound Shear Wave Elasticity Imaging Quantifies Coronary Perfusion Pressure Effect on Cardiac Compliance
* Ultrasound Small Vessel Imaging With Block-Wise Adaptive Local Clutter Filtering
* Ultrasound spatiotemporal despeckling via Kronecker wavelet-Fisz thresholding
* Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method
* Ultrasound speckle reduction by directional median filtering
* Ultrasound Speckle Reduction via L0 Minimization
* Ultrasound Speckle Reduction via Super Resolution and Nonlinear Diffusion
* Ultrasound Standard Plane Detection Using a Composite Neural Network Framework
* Ultrasound Surface Extraction Using Radial Basis Functions
* Ultrasound tissue characterizationby generalized GAMMA MRF model
* Ultrasound Tracking Using ProbeSight: Camera Pose Estimation Relative to External Anatomy by Inverse Rendering of a Prior High-Resolution 3D Surface Map
* Ultrasound video analysis for understanding infant breastfeeding
* Ultrasound Volume Projection Imaging for Assessment of Scoliosis
* Ultrasound, Ultrasonic, Image Segmentation, Contour Extraction, Contour Motion
* Ultrasound, Ultrasonic, Speckle Removal, Restoration, Analysis
* UltraSpectal Inc.
* Ultraspectral image compression using two-stage prediction: Prediction gain and rate-distortion analysis
* UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems
* UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures
* Ultraviolet Camera Measurements of Passive and Explosive (Strombolian) Sulphur Dioxide Emissions at Yasur Volcano, Vanuatu
* Ultraviolet Fluorescence LiDAR (UFL) as a Measurement Tool for Water Quality Parameters in Turbid Lake Conditions
* Ultrawideband (UWB) Radar Imaging of Building Interior: Measurements and Predictions
* Ultrawideband FMCW Radar for Airborne Measurements of Snow Over Sea Ice and Land
* Ultrawideband Gated Step Frequency Ground-Penetrating Radar
* Ultrawideband Radar Images of the Surface Disturbance Produced by a Submerged, Mine-Like Object
* Ultrawideband Software-Defined Microwave Radiometer: Instrument Description and Initial Campaign Results, The
* Ultrawideband Synthetic Aperture Radar for Respiratory Motion Detection
* Ultrawideband Synthetic Aperture Radar Landmine Detection
* UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
* UM-GAN: Underground mine GAN for underground mine low-light image enhancement
* UMass Ascender System for 3D Site Model Construction, The
* UMass Building Extraction Systems
* UMass Image Understanding Architecture, The
* UMass Progress in 3D Building Model Acquisition
* UMat: Uncertainty-Aware Single Image High Resolution Material Capture
* UMB-DB: A database of partially occluded 3D faces
* UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
* UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity
* UMD Experiments with FRGC Data
* UMD Logo Database
* UMD_VDT, an Integration of Detection and Tracking Methods for Multiple Human Tracking
* UMEME: University of Michigan Emotional McGurk Effect Data Set
* UMFuse: Unified Multi View Fusion for Human Editing applications
* UMGAN: Generative adversarial network for image unmosaicing using perceptual loss
* UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction
* UMIST Face Database, The
* UMMFF: Unsupervised Multimodal Multilevel Feature Fusion Network for Hyperspectral Image Super-Resolution
* UMMS: Efficient Superpixel Segmentation Driven by a Mixture of Spatially Constrained Uniform Distribution
* UMPM benchmark: A multi-person dataset with synchronized video and motion capture data for evaluation of articulated human motion and interaction
* UMSM: A Traffic Reduction Method on Multi-View Video Streaming for Multiple Users
* UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
* Un-Gaze: A Unified Transformer for Joint Gaze-Location and Gaze-Object Detection
* Un-Paired Real World Super-Resolution with Degradation Consistency
* Un)Reliability of video concept detection
* Unabated Global Ocean Warming Revealed by Ocean Heat Content from Remote Sensing Reconstruction
* Unabridged adjacent modulation for clothing parsing
* Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers
* Unaligned Image-to-Image Translation by Learning to Reweight
* Unambigous Determination of Shape from Photometric Stereo with Unknown Light Sources
* Unambiguous Dynamic Diffraction Patterns for 3D Depth Profile Measurement
* Unambiguous ISAR Imaging Method for Complex Maneuvering Group Targets
* Unambiguous Photometric Stereo Using Two Images
* Unambiguous Pyramid Cost Volumes Fusion for Stereo Matching
* Unambiguous Scene Text Segmentation With Referring Expression Comprehension
* Unambiguous Techniques Modernized GNSS Signals: Surveying the solutions
* Unambiguous Text Localization and Retrieval for Cluttered Scenes
* Unambiguous Text Localization, Retrieval, and Recognition for Cluttered Scenes
* Unambiguous video pipeline description motivated by HDR
* Unambiguous Wind Direction Estimation Method for Shipborne HFSWR Based on Wind Direction Interval Limitation
* Unambiguous Wind Direction Field Extraction Using a Compact Shipborne High-Frequency Radar
* UNAS: Differentiable Architecture Search Meets Reinforcement Learning
* Unassisted Quantitative Evaluation of Despeckling Filters
* Unattended object detection based on edge-segment distributions
* Unattended Package, Abandoned Luggage, Left Luggage, Theft
* Unauthorized AI cannot recognize me: Reversible adversarial example
* Unavailable Transit Feed Specification: Making It Available with Recurrent Neural Networks
* Unbalanced Analysis of Economic Urbanization: A Case Study of Typical Cities in China, The
* Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection, An
* Unbalanced Datasets, Imbalanced Sample Sizes, Imbalanced Data, Long-Tailed Data
* Unbalanced Feature Transport for Exemplar-based Image Translation
* Unbalanced JPEG image steganalysis via multiview data match
* Unbalanced Multiple-Description Video Coding with Rate-Distortion Optimization
* Unbalanced Multiple Description Video Communication Using Path Diversity
* Unbalanced Optimal Transport in Multi-camera Tracking Applications
* Unbalanced Optimal Transport: A Unified Framework for Object Detection
* Unbalanced region matching based on two-level description for image retrieval
* Unbiased 4D: Monocular 4D Reconstruction with a Neural Deformation Model
* Unbiased Active Contour Algorithm for Object Tracking, An
* Unbiased and Augmentation-Free Self-Supervised Graph Representation Learning
* Unbiased and Intervoxel Watershed Algorithm for 3D Image Segmentation, An
* Unbiased Area Estimation Using Copernicus High Resolution Layers and Reference Data
* Unbiased Detector of Curvilinear Structures, An
* Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis
* Unbiased Estimation and Statistical Analysis of 3-D Rigid Motion from Two Views
* Unbiased Estimation of Ellipses by Bootstrapping
* Unbiased Estimator for Distorted Conics in Camera Calibration
* Unbiased Evaluation of Handwritten Mathematical Expression Recognition
* Unbiased evaluation of keypoint detectors with respect to rotation invariance
* Unbiased extraction of lines with parabolic and Gaussian profiles
* Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection
* Unbiased feature generating for generalized zero-shot learning
* Unbiased Gradient Estimation for Differentiable Surface Splatting via Poisson Sampling
* Unbiased homomorphic system and its application in reducing multiplicative noise
* unbiased implementation of regularization mechanisms, An
* Unbiased Injection of Signal-Dependent Noise in Variance-Stabilized Range
* Unbiased Least-Squares Fitting Of Circular Arcs
* Unbiased look at dataset bias
* Unbiased Manifold Augmentation for Coarse Class Subdivision
* Unbiased Mean Teacher for Cross-domain Object Detection
* Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias
* Unbiased Multi-modality Guidance for Image Inpainting
* Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
* unbiased p-step predictive FIR filter for a class of noise-free discrete-time models with independently observed states, An
* unbiased parametric imaging algorithm for nonuniformly sampled biomedical system parameter estimation, An
* Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach
* Unbiased risk estimation for sparse analysis regularization
* Unbiased Risk Estimator for Image Denoising in the Presence of Mixed Poisson-Gaussian Noise, An
* Unbiased Scene Graph Generation from Biased Training
* Unbiased Scene Graph Generation in Videos
* Unbiased scene graph generation via head-tail cooperative network with self-supervised learning
* Unbiased Scene Graph Generation via Two-Stage Causal Modeling
* Unbiased Second-Order Prior for High-Accuracy Motion Estimation, An
* Unbiased Sparse Subspace Clustering by Selective Pursuit
* Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
* Unbiased Symmetric Matrix Estimator for Topology Inference Under Partial Observability, An
* Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors
* Unbiased Temporal Representation for Video-Based Person Re-Identification, An
* Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies
* Unbiased Visual Question Answering by Leveraging Instrumental Variable
* Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results
* UnbiasNet: Vehicle Re-Identification Oriented Unbiased Feature Enhancement by Using Causal Effect
* Unblurring ISAR Imaging for Maneuvering Target Based on UFGAN
* Unbounded High Dynamic Range Photography Using a Modulo Camera
* Unbounded Motion Optimization by Developmental Learning
* Unbounded Sparse Census Transform Using Genetic Algorithm
* Unboxing the Black Box of Attention Mechanisms in Remote Sensing Big Data Using XAI
* Unbroken Digital Data Flow in The Built Environment Process - a Case Study in Sweden
* Uncalibrated 1D Camera and 3D Affine Reconstruction of Lines
* Uncalibrated 3D Human Tracking with A PTZ-Camera Viewing A Plane
* Uncalibrated 3D metric reconstruction and flattened texture acquisition from a single view of a surface of revolution
* Uncalibrated Active Stereo for Wide and Dense 3D Data Acquisition
* Uncalibrated and Unmodeled Image-Based Visual Servoing of Robot Manipulators Using Zeroing Neural Networks
* Uncalibrated and Unsupervised Photometric Stereo with Piecewise Regularizer
* Uncalibrated and unsynchronized human motion capture: A Stereo Factorization Approach
* Uncalibrated Euclidean reconstruction: a review
* Uncalibrated Factorization Using a Variable Symmetric Affine Camera
* Uncalibrated flatfielding and illumination vector estimationfor photometric stereo face reconstruction
* Uncalibrated Framework for On-line Camera Cooperation to Acquire Human Head Imagery in Wide Areas
* Uncalibrated Interpolation of Rigid Displacements for View Synthesis
* uncalibrated lightfield acquisition system, An
* Uncalibrated Motion Capture Exploiting Articulated Structure Constraints
* Uncalibrated Multi-view 3D Human Pose Estimation with Geometry Driven Attention
* Uncalibrated multiple image stereo system with arbitrarily movable camera and projector for wide range scanning
* Uncalibrated narrow baseline augmented reality
* Uncalibrated Near-Light Photometric Stereo
* Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces
* Uncalibrated Non-Rigid Factorisation by Independent Subspace Analysis
* Uncalibrated non-rigid factorisation with automatic shape basis selection
* Uncalibrated Obstacle Detection Using Normal Flow
* Uncalibrated Perspective Reconstruction of Deformable Structures
* Uncalibrated photometric stereo based on elevation angle recovery from BRDF symmetry of isotropic materials
* Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs
* Uncalibrated photometric stereo constrained by intrinsic reflectance image and shape from silhoutte
* Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances
* Uncalibrated Photometric Stereo Under Natural Illumination
* Uncalibrated reconstruction of curved surfaces
* Uncalibrated reconstruction: an adaptation to structured light vision
* Uncalibrated Relief Reconstruction and Model Alignment from Binocular Disparities
* Uncalibrated Stereo Correspondence by Singular Value Decomposition
* Uncalibrated Stereo Hand Eye Coordination
* Uncalibrated Stereo Matching Using DWT
* Uncalibrated stereo rectification for automatic 3d surveillance
* uncalibrated stereo visual servo system, An
* Uncalibrated synthetic aperture for defocus control
* Uncalibrated three-view image rectification
* Uncalibrated two-view metrology
* Uncalibrated View-Synthesis Pipeline, An
* Uncalibrated view synthesis from Relative Affine Structure based on planes parallelism
* Uncalibrated View Synthesis with Homography Interpolation
* Uncalibrated Visual Servoing for a Planar Two Link Rigid-Flexible Manipulator Without Joint-Space-Velocity Measurement
* Uncalibrated visual servoing from projective reconstruction of control values
* Uncalibrated Visual Servoing in 3D Workspace
* Uncalibrated Visual Servoing
* Uncalibrated Visual Tasks via Linear Interaction
* Uncalibrated X-Ray Stereo Reconstruction
* Uncalibrated, Two Source Photo-Polarimetric Stereo
* Uncensored Indoor Positioning
* Uncertain-Driven Analytics of Sequence Data in IoCV Environments
* Uncertain clustering algorithms based on rough and fuzzy sets for real-time image segmentation
* Uncertain Facial Expression Recognition via Multi-Task Assisted Correction
* Uncertain Future: Forecasting from Static Images Using Variational Autoencoders, An
* Uncertain Label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognition
* Uncertain LDA: Including Observation Uncertainties in Discriminative Transforms
* Uncertain motion tracking based on convolutional net with semantics estimation and region proposals
* Uncertain Projective Geometry: Statistical Reasoning for Polyhedral Object Reconstruction
* Uncertain Reasoning and Learning for Feature Grouping
* Uncertain Training Data Edition for Automatic Object-Based Change Map Extraction
* Uncertain Views
* Uncertain Voronoi cell computation based on space decomposition
* Uncertainties-driven Surface Morphing: The case of Photo-realistic Transitions between Facial Expressions
* Uncertainties Analysis of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Influences of Different Data-Based Models and Connections between Collapses and Environmental Factors
* Uncertainties in Bayesian geometric models
* Uncertainties in CERES Top-of-Atmosphere Fluxes Caused by Changes in Accompanying Imager
* Uncertainties in Classification System Conversion and an Analysis of Inconsistencies in Global Land Cover Products
* Uncertainties in Evapotranspiration Estimates over West Africa
* Uncertainties in Ice-Sheet Altimetry From a Spaceborne 1064-nm Single-Channel Lidar Due to Undetected Thin Clouds
* Uncertainties in Navigation of Elderly People in Towns: The Assistant Project
* Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives
* Uncertainties in Prediction of Streamflows Using SWAT Model: Role of Remote Sensing and Precipitation Sources
* Uncertainties in the Geostationary Ocean Color Imager (GOCI) Remote Sensing Reflectance for Assessing Diurnal Variability of Biogeochemical Processes
* Uncertainties in Tidally Adjusted Estimates of Sea Level Rise Flooding (Bathtub Model) for the Greater London
* Uncertainties of Global Historical Land Use Datasets in Pasture Reconstruction for the Tibetan Plateau
* Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
* Uncertainty-aware Action Decoupling Transformer for Action Anticipation
* Uncertainty-Aware Active Domain Adaptive Salient Object Detection
* Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
* Uncertainty-Aware and Class-Balanced Domain Adaptation for Object Detection in Driving Scenes
* Uncertainty-Aware and Multigranularity Consistent Constrained Model for Semi-Supervised Hashing
* Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms
* Uncertainty-Aware Anticipation of Activities
* Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference
* Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild
* Uncertainty-Aware Camera Pose Estimation from Points and Lines
* Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification
* Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
* Uncertainty-aware consistency regularization for cross-domain semantic segmentation
* Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation
* Uncertainty-Aware Data Augmentation for Food Recognition
* Uncertainty-Aware Decision-Making for Autonomous Driving at Uncontrolled Intersections
* Uncertainty-Aware Deep Multi-View Photometric Stereo
* Uncertainty-Aware Deep Video Compression With Ensembles
* Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization
* Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
* Uncertainty-Aware Gaze Tracking for Assisted Living Environments
* Uncertainty-Aware Graph-Guided Weakly Supervised Object Detection
* Uncertainty-Aware Hierarchical Aggregation Network for Medical Image Segmentation
* Uncertainty-aware hierarchical labeling for face forgery detection
* Uncertainty-Aware Human Mesh Recovery from Video by Learning Part-Based 3D Dynamics
* Uncertainty-aware integration of local and flat classifiers for food recognition
* Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth Completion
* Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring
* Uncertainty-aware iterative learning for noisy-labeled medical image segmentation
* Uncertainty-aware Joint Salient Object and Camouflaged Object Detection
* Uncertainty-aware Label Distribution Learning for Facial Expression Recognition
* Uncertainty-Aware Mesh Decoder for High Fidelity 3D Face Reconstruction
* Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction
* Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
* Uncertainty-Aware Pedestrian Crossing Prediction via Reinforcement Learning
* Uncertainty-Aware Performance Measure for Multi-Object Tracking, An
* Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning
* Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation
* Uncertainty-Aware Scene Graph Generation
* Uncertainty-Aware Score Distribution Learning for Action Quality Assessment
* Uncertainty-aware semi-supervised few shot segmentation
* Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
* Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer
* Uncertainty-Aware Source-Free Domain Adaptive Semantic Segmentation
* Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
* Uncertainty-Aware Temporal Graph Convolutional Network for Traffic Speed Forecasting
* Uncertainty-aware twin support vector machines
* Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
* Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior
* Uncertainty-aware Unsupervised Multi-Object Tracking
* Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization
* Uncertainty-aware Weakly Supervised Action Detection from Untrimmed Videos
* Uncertainty-Based Active Learning via Sparse Modeling for Image Classification
* Uncertainty-based Forgetting Mitigation for Generalized Few-Shot Object Detection
* Uncertainty-Based Map Matching: The Space-Time Prism and k-Shortest Path Algorithm
* Uncertainty-Based Spatial-Temporal Attention for Online Action Detection
* Uncertainty-based Thin Cloud Removal Network via Conditional Variational Autoencoders
* Uncertainty-Boosted Robust Video Activity Anticipation
* Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image
* Uncertainty-driven active developmental learning
* Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration
* Uncertainty-DTW for Time Series and Sequences
* Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection
* Uncertainty-Guided Depth Fusion from Multi-View Satellite Images to Improve the Accuracy in Large-Scale DSM Generation
* Uncertainty-Guided Different Levels of Pseudolabels for Semisupervised Medical Image Segmentation
* Uncertainty-guided joint attention and contextual relation network for person re-identification
* Uncertainty-guided Learning for Improving Image Manipulation Detection
* Uncertainty-guided Model Generalization to Unseen Domains
* Uncertainty-Guided Never-Ending Learning to Drive
* Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition
* Uncertainty-guided self-ensembling model for semi-supervised segmentation of multiclass retinal fluid in optical coherence tomography images
* Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation
* Uncertainty-Guided Source-Free Domain Adaptation
* Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection
* Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation
* Uncertainty-sensitive Activity Recognition: A Reliability Benchmark and the CARING Models
* Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation
* Uncertainty Analysis and Data Fusion of Multi-Source Land Evapotranspiration Products Based on the TCH Method
* Uncertainty Analysis for Object-Based Change Detection in Very High-Resolution Satellite Images Using Deep Learning Network
* Uncertainty Analysis for RadCalNet Instrumented Test Sites Using the Baotou Sites BTCN and BSCN as Examples
* Uncertainty Analysis for the Classification of Multispectral Satellite Images Using SVMs and SOMs
* Uncertainty Analysis for Topographic Correction of Hyperspectral Remote Sensing Images
* Uncertainty Analysis in SAR Sea Surface Wind Speed Retrieval through C-Band Geophysical Model Functions Inversion
* Uncertainty Analysis in the Creation of a Fine-Resolution Leaf Area Index (LAI) Reference Map for Validation of Moderate Resolution LAI Products
* Uncertainty analysis of 3D reconstruction from uncalibrated views
* Uncertainty Analysis of Camera Parameters Computed with a 3D Pattern
* Uncertainty Analysis of Image Measurements
* Uncertainty Analysis of Object-Based Land-Cover Classification Using Sentinel-2 Time-Series Data
* Uncertainty analysis of remote sensing of colored dissolved organic matter: Evaluations and comparisons for three rivers in North America
* Uncertainty Analysis of Remote Sensing Pretreatment for Biomass Estimation on Landsat OLI and Landsat ETM+
* Uncertainty Analysis of Remotely-Acquired Thermal Infrared Data to Extract the Thermal Properties of Active Lava Surfaces
* Uncertainty Analysis of Soil Moisture and Vegetation Indices Using Aquarius Scatterometer Observations
* Uncertainty Analysis of Some Real Functions for Image Processing Applications, An
* Uncertainty analysis of the DLT-Lines calibration algorithm for cameras with radial distortion
* Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches
* Uncertainty and Sensitivity Analysis of a Remote-Sensing-Based Penman-Monteith Model to Meteorological and Land Surface Input Variables
* Uncertainty and Variation of Remotely Sensed Lake Ice Phenology across the Tibetan Plateau
* Uncertainty Assessment And Weight Map Generation for Efficient Fusion of TANDEM-X and Cartosat-1 DEMS
* Uncertainty Assessment for Reconstructions Based on Deformable Geometry
* Uncertainty Assessment in Multitemporal Land Use/Cover Mapping with Classification System Semantic Heterogeneity
* Uncertainty Assessment of Differential Absorption Lidar Measurements of Industrial Emissions Concentrations
* Uncertainty Assessment Of Globeland30 Land Cover Data Set Over Central Asia
* Uncertainty Assessment of the Estimated Atmospheric Delay Obtained by a Numerical Weather Model (NMW)
* Uncertainty Assessment of the Vertically-Resolved Cloud Amount for Joint CloudSat-CALIPSO Radar-Lidar Observations
* Uncertainty Assessments of Load Deformation from Different GPS Time Series Products, GRACE Estimates and Model Predictions: A Case Study over Europe
* Uncertainty Aware Implicit Image Function for Arbitrary-Scale Super-Resolution
* Uncertainty Aware Multitask Pyramid Vision Transformer for UAV-Based Object Re-Identification
* Uncertainty Aware Proposal Segmentation for Unknown Object Detection
* Uncertainty Aware System Identification with Universal Policies
* Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation
* Uncertainty Based Adaptive Projection Selection Strategy for Binary Tomographic Reconstruction
* Uncertainty Based Camera Model Selection
* Uncertainty based classification fusion: A soft-biometrics test case
* Uncertainty based model selection for fast semantic segmentation
* Uncertainty Calibrated Markov Chain Monte Carlo Sampler for Visual Tracking Based on Multi-shape Posterior
* Uncertainty Characterization and Propagation in the Community Long-Term Infrared Microwave Combined Atmospheric Product System (CLIMCAPS)
* Uncertainty characterization of the orthogonal Procrustes problem with arbitrary covariance matrices
* Uncertainty Class Activation Map (U-CAM) Using Gradient Certainty Method
* Uncertainty Computation in Large 3D Reconstruction
* Uncertainty Criteria in Active Transfer Learning for Efficient Video-Specific Human Pose Estimation
* Uncertainty Descriptor for Quantitative Measurement of the Uncertainty of Remote Sensing Images, An
* Uncertainty Driven Multi-scale Optimization
* Uncertainty Driven Probabilistic Voxel Selection for Image Registration
* Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow
* Uncertainty Estimates for Imager Reference Inter-Calibration With CLARREO Reflected Solar Spectrometer
* Uncertainty Estimates for Polyhedral Object Recognition
* Uncertainty Estimates in Deep Generative Models Using Gaussian Processes
* Uncertainty Estimates in the SMAP Combined Active-Passive Downscaled Brightness Temperature
* Uncertainty Estimation and Sample Selection for Crowd Counting
* Uncertainty Estimation by Convolution Using Spatial Statistics
* Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis
* Uncertainty Estimation for Computer Vision
* Uncertainty Estimation for Deep Learning-Based Segmentation of Roads in Synthetic Aperture Radar Imagery
* Uncertainty Estimation for Heatmap-Based Landmark Localization
* Uncertainty Estimation for KLT Tracking
* Uncertainty Estimation for Stereo Matching Based on Evidential Deep Learning
* Uncertainty Estimation for Tumor Prediction with Unlabeled Data
* Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification
* Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap
* Uncertainty estimation in HDR imaging with Bayesian neural networks
* Uncertainty Estimation in Instance Segmentation with Star-convex Shapes
* Uncertainty Estimation via Monte Carlo Dropout in CNN-Based mmWave MIMO Localization
* Uncertainty Evaluation of an In-Flight Absolute Radiometric Calibration Using a Statistical Monte Carlo Method
* Uncertainty Evaluation on Temperature Detection of Middle Atmosphere by Rayleigh Lidar
* Uncertainty Exchange Through Multiple Quadrature Kalman Filtering
* Uncertainty Gated Network for Land Cover Segmentation
* Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
* Uncertainty Guided Collaborative Training for Weakly Supervised and Unsupervised Temporal Action Localization
* Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection
* Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image
* Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining
* Uncertainty Guided Multi-View Stereo Network for Depth Estimation
* Uncertainty Guided Recognition of Tiny Craters on the Moon
* Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach
* Uncertainty in Fengyun-3C Microwave Humidity Sounder Measurements at 118 GHz With Respect to Simulations From GPS RO Data
* Uncertainty in Geographic Data on Bivariate Maps: An Examination of Visualization Preference and Decision Making
* Uncertainty in Interpretation of Range Imagery
* Uncertainty In Landslides Volume Estimation Using DEMS Generated By Airborne Laser Scanner and Photogrammetry Data
* Uncertainty in Measured Raindrop Size Distributions from Four Types of Collocated Instruments
* Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
* Uncertainty in Object Pose Determination with Three Light-Stripe Range Measurements
* Uncertainty in Parameterizing Floodplain Forest Friction for Natural Flood Management, Using Remote Sensing
* Uncertainty in Pose Estimation: A Bayesian Approach
* Uncertainty in Real-Time Semantic Segmentation on Embedded Systems
* Uncertainty in Satellite-Derived Surface Irradiances and Challenges in Producing Surface Radiation Budget Climate Data Record
* Uncertainty in Sea State Observations from Satellite Altimeters and Buoys during the Jason-3/Sentinel-6 MF Tandem Experiment
* Uncertainty in Terrestrial Laser Scanner Surveys of Landslides
* Uncertainty in the output of artificial neural networks
* Uncertainty in Upscaling In Situ Soil Moisture Observations to Multiscale Pixel Estimations with Kriging at the Field Level
* Uncertainty Inspired RGB-D Saliency Detection
* Uncertainty Inspired Underwater Image Enhancement
* Uncertainty Introduced by Darkening Agents in the Lunar Regolith: An Unmixing Perspective
* Uncertainty Learning for Noise Resistant Sketch-Based 3D Shape Retrieval
* Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution
* Uncertainty Learning towards Unsupervised Deformable Medical Image Registration
* Uncertainty Management for Rule-Based Systems with Applications to Image Analysis
* Uncertainty Management in Seismic Vulnerability Assessment Using Granular Computing Based on Covering of Universe
* Uncertainty Measures for Assessing the Attribute Accuracy of Objected-Based Classification of Remotely Sensed Imagery
* Uncertainty minimization in multi-sensor localization systems using model selection theory
* Uncertainty Minimization in the Localization of Polyhedral Objects
* Uncertainty Model for Template Feature Matching
* Uncertainty Model of Stereo Vision and Its Application to Vision Motion Planning of Robot, An
* Uncertainty Modeling and Model Selection for Geometric Inference
* Uncertainty modeling for efficient visual odometry via inertial sensors on mobile devices
* Uncertainty Modeling for Gaze Estimation
* Uncertainty Modeling for Group Re-Identification
* Uncertainty Modeling for Robust Domain Adaptation Under Noisy Environments
* Uncertainty Modeling Framework for Constraint-Based Elementary Scenario Detection in Vision Systems
* Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition
* Uncertainty Modelling of Citizen-centered Group Decision Making Using Fuzzy-vikor Case Study: Site Selection of Healthcare Services
* Uncertainty modelling using Dempster-Shafer theory for improving detection of weld defects
* Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
* Uncertainty of CYGNSS-Derived Heat Flux Variations at Diurnal to Seasonal Time Scales over the Tropical Oceans
* Uncertainty of Drone-Derived DEMs and Significance of Detected Morphodynamics in Artificially Scraped Dunes
* Uncertainty of Features in Planar Object Recognition and a New Classifier
* Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing
* Uncertainty of Historic GLAD Forest Data in Temperate Climates and Implications for Forest Change Modelling
* Uncertainty of Nighttime Light Data in Estimating Carbon Dioxide Emissions in China: A Comparison between DMSP-OLS and NPP-VIIRS, The
* Uncertainty of Partial Dependence Relationship between Climate and Vegetation Growth Calculated by Machine Learning Models
* Uncertainty of Plot-Scale Forest Height Estimates from Complementary Spaceborne Observations in the Taiga-Tundra Ecotone, The
* Uncertainty of Remote Sensing Data in Monitoring Vegetation Phenology: A Comparison of MODIS C5 and C6 Vegetation Index Products on the Tibetan Plateau
* Uncertainty of Satellite-Derived Glacier Flow Velocities in a Temperate Alpine Setting (Juneau Icefield, Alaska)
* Uncertainty of SNO Cross-Calibration for Satellite Infrared Channels, The
* Uncertainty of Vegetation Green-Up Date Estimated from Vegetation Indices Due to Snowmelt at Northern Middle and High Latitudes
* Uncertainty Penalized Weighted Least Squares Framework for PET Reconstruction Under Uncertain System Models
* Uncertainty Principle and Ideal Atomic Decompositions
* Uncertainty principle and orthogonal condition for the short-time linear canonical transform
* Uncertainty Principle for Lowband Graph Signals, An
* Uncertainty Principle in Image Processing, The
* Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties, The
* Uncertainty principles for discrete signals associated with the fractional Fourier and linear canonical transforms
* Uncertainty Propagation and the Matching of Junctions as Feature Groupings
* Uncertainty Propagation For Terrestrial Mobile Laser Scanner
* Uncertainty Propagation in Model-Based Recognition
* Uncertainty Quantification Enforced Flash Radiography Reconstruction by Two-Level Efficient MCMC
* Uncertainty Quantification for Computer Vision
* Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks
* Uncertainty Quantification in ALS-Based Species-Specific Growing Stock Volume Estimation
* Uncertainty Quantification in Deep MRI Reconstruction
* Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression
* Uncertainty quantification in land surface temperature retrieved from Himawari-8/AHI data by operational algorithms
* Uncertainty Quantification of Human Electromagnetic Exposure From Electric Vehicle Wireless Power Transfer System
* Uncertainty Quantification of Lucas Kanade Feature Track and Application to Visual Odometry
* Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau
* Uncertainty Quantification of Soil Moisture Estimations Based on a Bayesian Probabilistic Inversion
* Uncertainty Quantification of Soil Organic Carbon Estimation from Remote Sensing Data with Conformal Prediction
* Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks
* Uncertainty Quantification of the Effects of Segmentation Variability in ECGI
* Uncertainty Quantification Using Query-based Object Detectors
* Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation
* Uncertainty Quantified Fundamental Climate Data Record for Microwave Humidity Sounders, An
* Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web
* Uncertainty Reduction for Model Adaptation in Semantic Segmentation
* Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen
* Uncertainty Reduction via Heuristic Search Planning on Hybrid Metric/Topological Map
* Uncertainty Relation for Resolution in Space, Spatial Frequency, and Orientation Optimized by 2D Visual Cortical Filters
* Uncertainty Theories Based Iris Recognition System
* Uncertainty Update and Dynamic Search Window for Model-Based Object Recognition
* Uncertainty Visualization Approaches for 3D Models of Castles Restituted from Archeological Knowledge
* Uncertainty visualization for variable associations analysis
* Uncertainty Visualization of Transport Variance in a Time-Varying Ensemble Vector Field
* Uncertainty visualization using HDR volume rendering
* Uncertainty Visualization via Low-Dimensional Posterior Projections
* Uncertainty, Baseline, and Noise Analysis for L1 Error-Based Multi-view Triangulation
* UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM
* uncompressed benchmark image dataset for colour imaging, An
* Unconditional Scene Graph Generation
* Unconditionally provably secure cancellable biometrics based on a quotient polynomial ring
* Unconfuse: Avatar Reconstruction from Unconstrained Images
* Unconstrained 3D face reconstruction
* Unconstrained Age Estimation with Deep Convolutional Neural Networks
* Unconstrained Automatic Image Matching Using Multiresolutional Critical Point Filters
* Unconstrained Benchmark Urdu Handwritten Sentence Database with Automatic Line Segmentation, An
* Unconstrained Bengali handwriting recognition with recurrent models
* Unconstrained Biometric Identification: Emerging Technologies
* Unconstrained ear recognition using deep neural networks
* Unconstrained end-to-end text reading with feature rectification
* Unconstrained Face Alignment via Cascaded Compositional Learning
* Unconstrained Face Alignment Without Face Detection
* Unconstrained Face Detection Based on Cascaded Convolutional Neural Networks in Surveillance Video
* Unconstrained Face Recognition Using a Set-to-Set Distance Measure on Deep Learned Features
* Unconstrained face recognition using MRF priors and manifold traversing
* Unconstrained Face Recognition
* Unconstrained face verification using deep CNN features
* Unconstrained Facial Action Unit Detection via Latent Feature Domain
* Unconstrained Facial Expression Recognition Based on Feature Enhanced CNN and Cross-Layer LSTM
* Unconstrained Facial Expression Recognition With No-Reference De-Elements Learning
* Unconstrained Facial Expression Recogniton Based on Cascade Decision and Gabor Filters
* Unconstrained Farsi handwritten word recognition using fuzzy vector quantization and hidden Markov models
* Unconstrained Fingerphoto Database
* Unconstrained Flood Event Detection Using Adversarial Data Augmentation
* Unconstrained Foreground Object Search
* Unconstrained free-viewpoint video coding
* Unconstrained Gaze Estimation Using Random Forest Regression Voting
* Unconstrained Hand Recognition Using Thermal Infrared Sensing of Dorsal Veins
* Unconstrained Handprint Recognition Using a Limited Lexicon
* Unconstrained Handwriting Recognition Applied to the Processing of Bank Cheques
* unconstrained handwriting recognition system, An
* Unconstrained handwritten character recognition based on fuzzy logic
* Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields
* Unconstrained handwritten document retrieval
* Unconstrained Handwritten Word Recognition Based on Trigrams Using BLSTM
* Unconstrained Japanese Address Recognition Using a Combination of Spatial Information and Word Knowledge
* Unconstrained large margin distribution machines
* Unconstrained logo detection in document images
* Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest
* Unconstrained motion compensated temporal filtering (UMCTF) for efficient and flexible interframe wavelet video coding
* Unconstrained Motion Deblurring for Dual-Lens Cameras
* Unconstrained Multimodal Multi-Label Learning
* Unconstrained Multiphase Thresholding Approach for Image Segmentation, An
* Unconstrained Multiple-People Tracking
* Unconstrained numeral pair recognition using enhanced error correcting output coding: a holistic approach
* Unconstrained Offline Handwritten Word Recognition by Position Embedding Integrated ResNets Model
* Unconstrained periocular biometric acquisition and recognition using COTS PTZ camera for uncooperative and non-cooperative subjects
* Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization
* Unconstrained pose-invariant face recognition by a triplet collaborative dictionary matrix
* Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models
* Unconstrained realtime facial performance capture
* Unconstrained Salient Object Detection via Proposal Subset Optimization
* Unconstrained Scene Generation with Locally Conditioned Radiance Fields
* Unconstrained seal imprint verification using attributed stroke graph matching
* Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
* Unconstrained Structural Similarity-Based Optimization
* Unconstrained Vision Guided UAV Based Safe Helicopter Landing
* Uncontrolled Modulation Imaging
* Unconventional Field Mapping Application: A Complete Opensource Workflow Solution Applied to Lithological Mapping of the Coatings of Cultural Heritage, An
* Unconventional Phased Array Architectures and Design Methodologies: A Review
* Uncooperative gait recognition by learning to rank
* Uncooperative gait recognition: Re-ranking based on sparse coding and multi-view hypergraph learning
* Uncooperative Satellite 6D Pose Estimation with Relative Depth Information
* Uncorrelated Component Analysis-Based Hashing
* Uncorrelated discriminant simplex analysis for view-invariant gait signal computing
* Uncorrelated discriminant vectors using a kernel method
* Uncorrelated feature selection via sparse latent representation and extended OLSDA
* Uncorrelated Fisherface Approach for Face and Palmprint Recognition, An
* Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps
* Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion
* Uncorrelated linear discriminant analysis based on weighted pairwise Fisher criterion
* Uncorrelated multi-set feature learning for color face recognition
* Uncorrelated trace ratio linear discriminant analysis for undersampled problems
* Uncovered Background Prediction in Interframe Coding
* Uncovering a Seismogenic Fault in Southern Iran through Co-Seismic Deformation of the Mw 6.1 Doublet Earthquake of 14 November 2021
* Uncovering Communities of Pipelines in the Task-FMRI Analytical Space
* Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application
* Uncovering Distribution Patterns of High Performance Taxis from Big Trace Data
* Uncovering Dryland Woody Dynamics Using Optical, Microwave, and Field Data: Prolonged Above-Average Rainfall Paradoxically Contributes to Woody Plant Die-Off in the Western Sahel
* Uncovering Dynamics of Global Mangrove Gains and Losses
* Uncovering Factors Affecting Taxi Income from GPS Traces at the Directional Road Segment Level
* Uncovering Hidden Emotions with Adaptive Multi-Attention Graph Networks
* Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation
* Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos
* Uncovering Lies: Deception Detection in a Rolling-dice Experiment
* Uncovering Manipulated Files Using Mathematical Natural Laws
* Uncovering non-verbal semantic aspects of collaborative meetings: iterative design and evaluation of the Meeting Miner
* Uncovering Plastic Litter Spectral Signatures: A Comparative Study of Hyperspectral Band Selection Algorithms
* Uncovering Spatial Inequality in Taxi Services in the Context of a Subsidy War among E-Hailing Apps
* Uncovering Symmetries in Polynomial Systems
* Uncovering the authorship: Linking media content to social user profiles
* Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
* Uncovering the Hidden Cost of Model Compression
* Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation
* Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction
* Uncovering the Nature of Urban Land Use Composition Using Multi-Source Open Big Data with Ensemble Learning
* Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization
* Uncovering the Relationship between Human Connectivity Dynamics and Land Use
* Uncovering the Relationship between Urban Road Network Topology and Taxi Drivers' Income: A Perspective from Spatial Design Network Analysis
* Uncovering the Temporal Context for Video Question Answering
* Uncovering vein patterns from color skin images for forensic analysis
* Uncovering what, why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
* UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
* Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
* UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection
* Undecimated Dual-Tree Complex Wavelet Transforms
* Undecimated Dual Tree Complex Wavelet Transform and its application to bivariate image denoising using a Cauchy model, The
* Undecimated Haar thresholding for poisson intensity estimation
* Undecimated hierarchical active contours for oct image segmentation
* Undecimated wavelet-based Bayesian denoising in mixed Poisson-Gaussian noise with application on medical and biological images
* Undecimated wavelet based speckle reduction for SAR images
* Undecimated Wavelet Decomposition and its Reconstruction, The
* Undecimated Wavelet Transform-Based Image Interpolation
* undecimated wavelet transform based denoising, PPCAa based pulse modeling and detection-classification of PD signals, An
* Undecoded Coefficients Recovery in Distributed Video Coding by Exploiting Spatio-Temporal Correlation: A Linear Programming Approach
* Under-canopy UAV laser scanning for accurate forest field measurements
* Under-Display Camera Image Enhancement via Cascaded Curve Estimation
* Under-Display Camera Image Restoration with Scattering Effect
* Under-Foliage Object Imaging Using SAR Tomography and Polarimetric Spectral Estimators
* Under-Ice Hyperspectral and RGB Imaging System to Capture Fine-Scale Biophysical Properties of Sea Ice, An
* Under the hood of transformer networks for trajectory forecasting
* Undercover Deepfakes: Detecting Fake Segments in Videos
* Underdetermined Blind Direction-of-Arrival Estimation Using a Moving Platform
* Underdetermined Blind Source Separation in Single Mixtures Signal
* Underdetermined Direct Localization of Emitters Based on Spatio-Temporal Processing
* Underdetermined Direction-of-Arrival Estimation Using Sparse Circular Arrays on a Rotating Platform
* Underdetermined DOA Estimation for Wideband Signals Using Robust Sparse Covariance Fitting
* Underdetermined DOA Estimation for Wideband Signals via Joint Sparse Signal Reconstruction
* Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative Sparse Bayesian Learning
* Underdetermined DOA estimation using coprime array via multiple measurement sparse Bayesian learning
* Underdetermined DOA Estimation via Covariance Matrix Completion for Nested Sparse Circular Array in Nonuniform Noise
* Underdetermined Joint Blind Source Separation for Two Datasets Based on Tensor Decomposition
* Underestimates of Grassland Gross Primary Production in MODIS Standard Products
* Underestimation modification for intrinsic dimension estimation
* Underexposed Image Correction Via Approximation of the Scene Radiance Function
* Underexposed Photo Enhancement Using Deep Illumination Estimation
* Underground-Mining Detection System Based on DInSAR, An
* Underground Archaeology: Photogrammetry and Terrestrial Laser Scanning of the Hypogeum of Crispia Salvia (Marsala, Italy)
* Underground Cavity Detection through Group Dispersion of a GPR Signal
* Underground Coal Fire Detection and Monitoring Based on Landsat-8 and Sentinel-1 Data Sets in Miquan Fire Area, XinJiang
* Underground Diagnosis Based on GPR and Learning in the Model Space
* Underground Goaf Parameters Estimation by Cross-Iteration with InSAR Measurements
* Underground Incrementally Deployed Magneto-Inductive 3-D Positioning Network
* Underground Morphological Detection of Ground Fissures in Collapsible Loess Area Based on Three-Dimensional Laser Scanning Technology
* Underground Object Classification for Urban Roads Using Instantaneous Phase Analysis of Ground-Penetrating Radar (GPR) Data
* Underground Pipeline Identification into a Non-Destructive Case Study Based on Ground-Penetrating Radar Imaging
* Underground Surveying: 16th Century Cellar Vaults in the GalerÍa De Convalecientes, Monastery of San Lorenzo Del Escorial
* Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
* Underline detection and removal in a document image using multiple strategies
* Underline Removal on Old Documents
* Underlying Connections Between Algorithms for Nongreedy LDA-L1
* Underlying Topography Estimation over Forest Areas Using High-Resolution P-Band Single-Baseline PolInSAR Data
* Underlying Topography Estimation Over Forest Areas Using Single-Baseline InSAR Data
* Underlying Topography Estimation over Forest Using Maximum a Posteriori Inversion with Spaceborne Polarimetric SAR Interferometry
* Underlying Topography Inversion Using TomoSAR Based on Non-Local Means for an L-Band Airborne Dataset
* Underpinnings of Workload in Unmanned Vehicle Systems, The
* Undersampled Boundary Pre-/Postfilters for Low Bit-Rate DCT-Based Block Coders
* Undersampled Dynamic Fourier Ptychography via Phaseless PCA
* Undersampled Face Recognition via Robust Auxiliary Dictionary Learning
* Understanding 3D Emotions Through Compact Anthropometric Autoregressive Models
* Understanding 3D Object Articulation in Internet Videos
* Understanding 3D Object Interaction from a Single Image
* Understanding 3d Point Cloud Deep Neural Networks By Visualization Techniques
* Understanding a Simple Cartoon Film by a Computer Vision System
* Understanding action recognition in still images
* Understanding adversarial attacks on deep learning based medical image analysis systems
* Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations
* Understanding Aerosol-Cloud Interactions through Lidar Techniques: A Review
* Understanding Affective Content of Music Videos through Learned Representations
* Understanding Ancient Landscapes in the Venetian Plain through an Integrated Geoarchaeological and Geophysical Approach
* Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics
* Understanding and analyzing a large collection of archived swimming videos
* Understanding and combating robust overfitting via input loss landscape analysis and regularization
* Understanding and Comparing Deep Neural Networks for Age and Gender Classification
* Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
* Understanding and Diagnosing Visual Tracking Systems
* Understanding and evaluating blind deconvolution algorithms
* Understanding and Evaluating Racial Biases in Image Captioning
* Understanding and Improving Features Learned in Deep Functional Maps
* Understanding and Improving Kernel Local Descriptors
* Understanding and Improving Source-Free Domain Adaptation from a Theoretical Perspective
* Understanding and Improving Visual Prompting: A Label-Mapping Perspective
* Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training
* Understanding and localizing activities from correspondences of clustered trajectories
* Understanding and Manipulating Neural Net Features Using Sparse Oblique Classification Trees
* Understanding and Mapping Natural Beauty
* Understanding and Mitigating Annotation Bias in Facial Expression Recognition
* Understanding and Mitigating Dimensional Collapse in Federated Learning
* Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
* Understanding and modeling finger vascular pattern imaging
* Understanding and Modeling the Evolution of Critical Points under Gaussian Blurring
* Understanding and Modeling Urban Mobility Dynamics via Disentangled Representation Learning
* Understanding and Predicting Image Memorability at a Large Scale
* Understanding and predicting importance in images
* Understanding and Predicting the Memorability of Outdoor Natural Scenes
* Understanding and Recreating Visual Appearance Under Natural Illumination
* Understanding and Removal of False Contour in HEVC Compressed Images
* Understanding and Simplifying Perceptual Distances
* Understanding and simplifying the structural similarity metric
* Understanding and Structure Analyzing for Online Handwritten Chemical Formulas, The
* Understanding and Visualizing Deep Visual Saliency Models
* Understanding angular effects in VHR imagery and their significance for urban land-cover model portability: A study of two multi-angle in-track image sequences
* Understanding Assembly Illustrations in An Assembly Manual Without Any Model of Mechanical Parts
* Understanding Atomic Hand-Object Interaction With Human Intention
* Understanding attention-based encoder-decoder networks: A case study with chess scoresheet recognition
* Understanding Autism Using Machine Learning: A Structural MRI Study
* Understanding Bayesian Rooms Using Composite 3D Object Models
* Understanding Bicycle Dynamics and Cyclist Behavior From Naturalistic Field Data (November 2012)
* Understanding Blind Deconvolution Algorithms
* Understanding Blood-Flow Dynamics: New Challenges for Visualization
* Understanding Blood Cell Motion
* Understanding Blooming Human Groups in Social Networks
* Understanding Boswellia papyrifera tree secondary metabolites through bark spectral analysis
* Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections
* Understanding Center Loss Based Network for Image Retrieval with Few Training Data
* Understanding Changes and Deformations on Multi-Temporal Rock Face Point Clouds
* Understanding Chinese Urban Form: The Universal Fractal Pattern of Street Networks over 298 Cities
* Understanding Citywide Resident Mobility Using Big Data of Electronic Registration Identification of Vehicles
* Understanding classifier errors by examining influential neighbors
* Understanding Cognitive and Affective States Using Eyelid Movements
* Understanding Collapse in Non-contrastive Siamese Representation Learning
* Understanding Collective Activities of People from Videos
* Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
* Understanding Completeness and Diversity Patterns of OSM-Based Land-Use and Land-Cover Dataset in China
* Understanding Compressive Sensing and Sparse Representation-Based Super-Resolution
* Understanding consumer attention on mobile devices
* Understanding Convolution for Semantic Segmentation
* Understanding Convolutional Networks Using Linear Interpreters - Extended Abstract
* Understanding Convolutional Neural Networks in Terms of Category-Level Attributes
* Understanding convolutional neural networks with a mathematical model
* Understanding Correlated Information Diffusion: From a Graphical Evolutionary Game Perspective
* Understanding Critical Factors in Appearance-Based Gender Categorization
* Understanding Cross Domain Presentation Attack Detection for Visible Face Recognition
* Understanding crowd flow patterns using active-Langevin model
* Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China
* Understanding Dark Scenes by Contrasting Multi-Modal Observations
* Understanding Data Augmentation for Classification: When to Warp?
* Understanding Deep Features with Computer-Generated Imagery
* Understanding Deep Generative Models with Generalized Empirical Likelihoods
* Understanding deep image representations by inverting them
* Understanding Deep Learning Techniques for Image Segmentation
* Understanding Deep Networks via Extremal Perturbations and Smooth Masks
* Understanding Deep Representations Learned in Modeling Users Likes
* Understanding Degeneracies and Ambiguities in Attribute Transfer
* Understanding Dense Time Series of Sentinel-1 Backscatter from Rice Fields: Case Study in a Province of the Mekong Delta, Vietnam
* Understanding Discrete Facial Expressions in Video Using an Emotion Avatar Image
* Understanding document analysis and understanding (through modeling)
* Understanding drivers' perspective on parking guidance information
* Understanding drivers' route choice behaviours in the urban network with machine learning models
* Understanding Drivers' Stress and Interactions With Vehicle Systems Through Naturalistic Data Analysis
* Understanding Drivers' Visual and Comprehension Loads in Traffic Violation Hotspots Leveraging Crowd-Based Driving Simulation
* Understanding dyadic interactions applying proxemic theory on video-surveillance trajectories
* Understanding Dynamic Cross-OSN Associations for Cold-Start Recommendation
* Understanding dynamic scenes based on human sequence evaluation
* Understanding dynamic scenes
* Understanding Effects of Cognitive Load from Pupillary Responses Using Hilbert Analytic Phase
* Understanding egocentric activities
* Understanding Engineering Drawings
* Understanding evacuation and impact of a metro collision on ridership using large-scale mobile phone data
* Understanding Event Boundaries for Egocentric Activity Recognition from Photo-streams
* Understanding Everyday Hands in Action from RGB-D Images
* Understanding Evidential Reasoning
* Understanding Expressive Action
* Understanding Failures of Deep Networks via Robust Feature Extraction
* Understanding Fake Faces
* Understanding Fields by Remote Sensing: Soil Zoning and Property Mapping
* Understanding Flooding Detection Using Overhead Imagery - Lessons Learned
* Understanding Forest Health with Remote Sensing-Part II: A Review of Approaches and Data Models
* Understanding Forest Health with Remote Sensing -Part I: A Review of Spectral Traits, Processes and Remote-Sensing Characteristics
* Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches
* Understanding Generalized Whitening and Coloring Transform for Universal Style Transfer
* Understanding Geometric Algebra: Hamilton, Grasmann, and Clifford for Computer Vision and Graphics
* Understanding Gestalt Cues and Ecological Statistics Using A Database of Human Segmented Images
* Understanding gestures with systematic variations in movement dynamics
* Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning
* Understanding Hand Gestures Using Approximate Graph Matching
* Understanding Handwriting
* Understanding Handwritten Text in a Structured Environment
* Understanding Haze: Modeling Size-Resolved Mineral Aerosol from Satellite Remote Sensing
* Understanding Hessian Alignment for Domain Generalization
* Understanding High-Level Semantics by Modeling Traffic Patterns
* Understanding Historical Cityscapes from Aerial Imagery Through Machine Learning
* Understanding Hospitalized Pediatric Cancer Patients' Activities for Digital Games Design Requirements
* Understanding How Low-Level Clouds and Fog Modify the Diurnal Cycle of Orographic Precipitation Using In Situ and Satellite Observations
* Understanding Human Activities in Response to Typhoon Hato from Multi-Source Geospatial Big Data: A Case Study in Guangdong, China
* Understanding human activity patterns based on space-time-semantics
* Understanding human behavior from motion imagery
* Understanding Human Behaviors Based on Eye-Head-Hand Coordination
* Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning
* Understanding Human Hands in Contact at Internet Scale
* Understanding human interactions with track and body synergies (TBS) captured from multiple views
* Understanding Human Motion Patterns
* Understanding Human Motion: A Historic Review
* Understanding Human Perception Of Building Categories In Virtual 3d Cities - A User Study
* Understanding Human Response to the Presence and Actions of Unmanned Ground Vehicle Systems in Field Environment
* Understanding Hyperbolic Metric Learning through Hard Negative Sampling
* Understanding image concepts using ISTOP model
* Understanding Image Intensities
* Understanding image priors in blind deconvolution
* Understanding Image Quality and Trust in Peer-to-Peer Marketplaces
* Understanding Image Quality
* Understanding Image Representations by Measuring Their Equivariance and Equivalence
* Understanding image structure from a new multi-scale representation of higher order derivative filters
* Understanding image structure via hierarchical shape parsing
* Understanding image virality
* Understanding Images of Graphical User Interfaces: A New Approach to Activity Recognition for Visual Surveillance
* Understanding images of groups of people
* Understanding Images: Finding Meaning in Digital Imagery
* Understanding Imbalanced Semantic Segmentation Through Neural Collapse
* Understanding In-Plane Face Rotations Using Integral Projections
* Understanding Individual Decisions of CNNs via Contrastive Backpropagation
* Understanding Individual Mobility Pattern and Portrait Depiction Based on Mobile Phone Data
* Understanding Indoor Scenes Using 3D Geometric Phrases
* Understanding inexplicit utterances using vision for helper robots
* Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
* Understanding Intensity-Duration-Frequency (IDF) Curves Using IMERG Sub-Hourly Precipitation against Dense Gauge Networks
* Understanding Inter-Hemispheric Traveling Ionospheric Disturbances and Their Mechanisms
* Understanding Interactions and Guiding Visual Surveillance by Tracking Attention
* Understanding Internal Representations through Hidden Unit Senstivity Analysis
* Understanding Internal Wave-Wave Interaction Patterns Observed in Satellite Images of the Mid-Atlantic Bight
* Understanding Internet Video sharing site workload: A view from data center design
* Understanding Intonation Trajectories and Patterns of Vocal Notes
* Understanding Intra-Annual Dynamics of Ecosystem Services Using Satellite Image Time Series
* Understanding Kernel Size in Blind Deconvolution
* Understanding Kin Relationships in a Photo
* Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing
* Understanding Ku-Band Ocean Radar Backscatter at Low Incidence Angles under Weak to Severe Wind Conditions by Comparison of Measurements and Models
* Understanding Land Cover Change in a Fragmented Forest Landscape in a Biodiversity Hotspot of Coastal Ecuador
* Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data
* Understanding Landslide Susceptibility in Northern Chilean Patagonia: A Basin-Scale Study Using Machine Learning and Field Data
* Understanding Language Through Vision
* Understanding Lateral Marsh Edge Erosion with Terrestrial Laser Scanning (TLS)
* Understanding leaves in natural images: A model-based approach for tree species identification
* Understanding LiDAR Performance for Autonomous Vehicles Under Snowfall Conditions
* Understanding Line Drawings of Scenes with Shadows
* Understanding Long-Term Savanna Vegetation Persistence across Three Drainage Basins in Southern Africa
* Understanding Low- and High-Level Contributions to Fixation Prediction
* Understanding Manipulation in Video
* Understanding Map Misinterpretation: Factors Influencing Correct Map Reading and Common Errors
* Understanding Maps
* Understanding Masked Autoencoders via Hierarchical Latent Variable Models
* Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
* Understanding mathematical expressions using procedure-oriented transformation
* Understanding Microvessels in Two and Three Dimensions
* Understanding More About Human and Machine Attention in Deep Neural Networks
* Understanding Motion in Sign Language: A New Structured Translation Dataset
* Understanding Mountain-Wave Phases in ERS Tandem DInSAR Interferogram Using WRF Model Simulation
* Understanding Multi-Articled Documents
* Understanding multiple days' metro travel demand at aggregate level
* Understanding Natural Textures
* Understanding Negative Proposals in Generic Few-Shot Object Detection
* Understanding neural-network denoisers through an activation function perspective
* Understanding Noise Sensitivity in Structure from Motion
* Understanding Noise: The Critical Role of Motion Error in Scene Reconstruction
* Understanding Object Configurations Using Range Images
* Understanding Object Dynamics for Interactive Image-to-Video Synthesis
* Understanding Object Motion
* Understanding Object Motion: Recognition, Learning And Spatiotemporal Reasoning
* Understanding Objects from Slices
* Understanding Objects in Detail with Fine-Grained Attributes
* Understanding Objects with Curved Surfaces from a Single Perspective View of Boundaries
* Understanding of an Iceberg Breaking Off Event Based on Ice-Front Motion Analysis of Amery Ice Shelf, Antarctica
* Understanding of Crop Lodging Induced Changes In Scattering Mechanisms Using Radarsat-2 and Sentinel-1 Derived Metrics
* Understanding of Curved Corridor Scenes Based on Projection of Spatial Right-Angles
* Understanding of Human Images
* Understanding of human motion, actions and interactions
* Understanding of indoor scenes based on projection of spatial rectangles
* understanding of muscle fibre images, An
* Understanding of ridge-valley lines on image-intensity surfaces in scale-space
* Understanding of Smart Cities, Digital Cities and Intelligent Cities: Similarities and Differences
* Understanding of spatial gestural motor space: A study on cursorless absolute freehand pointing on large displays
* Understanding open-set recognition by Jacobian norm and inter-class separation
* Understanding Optical Music Recognition
* Understanding pedestrian behaviors from stationary crowd groups
* Understanding People Flow in Transportation Hubs
* Understanding People Pointing: The Perseus System
* Understanding Perceptual and Conceptual Fluency at a Large Scale
* Understanding Performance of Edge Prefetching
* Understanding phase maps in MRI: a new cutline phase unwrapping method
* Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine
* Understanding Plane Geometry Problems by Integrating Relations Extracted from Text and Diagram
* Understanding Plum Rain's Effects on Urban Public Bicycle Unavailability Considering Both Place Semantics and Riding Distance
* Understanding pollen tube growth dynamics using the Unscented Kalman Filter
* Understanding Popout through Repulsion
* Understanding Popout: Pre-attentive Segmentation through Nondirectional Repulsion
* Understanding pose discrimination in similarity space
* Understanding Positioning from Multiple Images
* Understanding Preferences of Delhi Metro Users Using Choice-Based Conjoint Analysis
* Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data
* Understanding Public Opinions from Geosocial Media
* Understanding Public Speakers' Performance: First Contributions to Support a Computational Approach
* Understanding Purposeful Human Motion
* Understanding random guessing line in ROC curve
* Understanding RealWorld Indoor Scenes with Synthetic Data
* Understanding ReLU Network Robustness Through Test Set Certification Performance
* Understanding Road Layout From Videos as a Whole
* Understanding Road Scenes Using Visual Cues and GPS Information
* Understanding Robustness of Transformers for Image Classification
* Understanding Salsa: How Computing Is Defining Latin Music
* Understanding Scenery Quality: A Visual Attention Measure and Its Computational Model
* Understanding scenes on many levels
* Understanding Self-attention Mechanism via Dynamical System Perspective
* Understanding Shape, II: Symmetry
* Understanding Shape: Angles and Sides
* Understanding shape: perspectives from natural and machine vision
* Understanding Social Behavior in Dyadic and Small Group Interactions
* Understanding social relationships in egocentric vision
* Understanding Spatial-Temporal Interactions of Ecosystem Services and Their Drivers in a Multi-Scale Perspective of Miluo Using Multi-Source Remote Sensing Data
* Understanding spatio-temporal mobility patterns for seniors, child/student and adult using smart card data
* Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000-2019
* Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data
* Understanding Spatiotemporal Variations of Ridership by Multiple Taxi Services
* Understanding Sport Activities from Correspondences of Clustered Trajectories
* Understanding symmetric smoothing filters via Gaussian mixtures
* Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective
* Understanding Synonymous Referring Expressions via Contrastive Features
* Understanding Synthetic Aperature Radar Images
* Understanding Taxi Service Strategies from Taxi GPS Traces
* Understanding Temporal and Spatial Distribution of Crop Residue Burning in China from 2003 to 2017 Using MODIS Data
* Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations
* Understanding the 3D layout of a cluttered room from multiple images
* Understanding the Atmospheric Cues Effects on Consumer Emotions: A Case Study on Lazada Malaysia
* Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach
* Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation
* Understanding the Behavior of SFM Algorithms: A Geometric Approach
* Understanding The Behaviour Of Contamination Spread In Nagarjuna Sagar Reservoir Using Temporal Landsat Data
* Understanding the Behaviour of Contrastive Loss
* Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data
* Understanding the Characteristics of Internet Short Video Sharing: A YouTube-Based Measurement Study
* Understanding the Combined Effect of k-Space Undersampling and Transient States Excitation in MR Fingerprinting Reconstructions
* Understanding the Constraints in Maximum Entropy Methods for Modeling and Inference
* Understanding the Correlation between Landscape Pattern and Vertical Urban Volume by Time-Series Remote Sensing Data: A Case Study of Melbourne
* Understanding the decisions of CNNs: An in-model approach
* Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift
* Understanding the distraction and behavioural adaptations of drivers when experiencing failures of digital side mirrors
* Understanding the Diversity of Urban-Rural Fringe Development in a Fast Urbanizing Region of China
* Understanding the Drivers of Mobility during the COVID-19 Pandemic in Florida, USA Using a Machine Learning Approach
* Understanding the Dynamic Mechanism of Urban Land Use and Population Distribution Evolution from a Microscopic Perspective
* Understanding the Dynamics of DNNs Using Graph Modularity
* Understanding the Effect of Bias in Fiducial Localization Error on Point-Based Rigid-Body Registration
* Understanding The Effects of Documentation Detail On Diagnostics Of Historic Structures
* Understanding the effects of peripheral vision and muscle memory on in-vehicle touchscreen interactions
* Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
* Understanding the External Links of Video Sharing Sites: Measurement and Analysis
* Understanding the Feature Norm for Out-of-Distribution Detection
* Understanding the Functionality of Human Activity Hotspots from Their Scaling Pattern Using Trajectory Data
* Understanding the Hough Transform: Hough Cell Support and Its Utilization
* Understanding the Imaging Capability of Tundra Orbits Compared to Other Orbits
* Understanding the impact of brand colour on brand image: A preference disaggregation approach
* Understanding the impact of image and input resolution on deep digital pathology patch classifiers
* Understanding the impact of image quality on segmentation accuracy
* Understanding the impact of mistakes on background regions in crowd counting
* Understanding the Impact of Urbanization on Surface Urban Heat Islands: A Longitudinal Analysis of the Oasis Effect in Subtropical Desert Cities
* Understanding the Impact of Vertical Canopy Position on Leaf Spectra and Traits in an Evergreen Broadleaved Forest
* Understanding the Impact of Video Quality on User Engagement
* Understanding the Influence of Building Loads on Surface Settlement: A Case Study in the Central Business District of Beijing Combining Multi-Source Data
* Understanding the influence of state of health on the range anxiety of battery electric vehicle drivers
* Understanding the Land Surface Phenology and Gross Primary Production of Sugarcane Plantations by Eddy Flux Measurements, MODIS Images, and Data-Driven Models
* Understanding the Limitations of CNN-Based Absolute Camera Pose Regression
* Understanding the Linkage between Urban Growth and Land Surface Temperature: A Case Study of Bangalore City, India
* Understanding the Links between LULC Changes and SUHI in Cities: Insights from Two-Decadal Studies (2001-2020)
* Understanding the Nature of First-Person Videos: Characterization and Classification Using Low-Level Features
* Understanding the page logical structure
* Understanding The Past, Managing The Future: Remotely sensed analysis of the urban sprawl of Istanbul for supporting decision making for a sustainable future
* Understanding the perceived quality of video predictions
* Understanding the Present-Day Spatiotemporal Variability of Precipitable Water Vapor over Ethiopia: A Comparative Study between ERA5 and GPS
* Understanding the Reason for Misclassification by Generating Counterfactual Images
* Understanding the Relationship between China's Eco-Environmental Quality and Urbanization Using Multisource Remote Sensing Data
* Understanding the Relationship between Dominant Geo-Environmental Factors and Rural Poverty in Guizhou, China
* Understanding the Relationship Between the Optimization Criteria in Two-View Motion Analysis
* Understanding the Representativeness of Mobile Phone Location Data in Characterizing Human Mobility Indicators
* Understanding the Requirements for Surveys to Support Satellite-Based Crop Type Mapping: Evidence from Sub-Saharan Africa
* Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving
* Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
* Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study
* Understanding the Role of Urbanization on Vegetation Dynamics in Mountainous Areas of Southwest China: Mechanism, Spatiotemporal Pattern, and Policy Implications
* Understanding the Role of Weather Data for Earth Surface Forecasting using a ConvLSTM-based Model
* Understanding the Roles of Aerosols and Clouds in Environment, Meteorology and Climate with Advanced Lidar Remote Sensing Techniques
* Understanding the Semantics of Media
* Understanding the Shape Properties of Trihedral Polyhedra
* Understanding the Shared E-scooter Travels in Austin, TX
* Understanding the Spatial Effects of Unaffordable Housing Using the Commuting Patterns of Workers in the New Zealand Integrated Data Infrastructure
* Understanding the Spatial Temporal Vegetation Dynamics in Rwanda
* Understanding the Spatiotemporal Characteristics of Land Subsidence and Rebound in the Lianjiang Plain Using Time-Series InSAR with Dual-Track Sentinel-1 Data
* Understanding the Spatiotemporal Dynamics and Influencing Factors of the Rice-Crayfish Field in Jianghan Plain, China
* Understanding the Spatiotemporal Variation of High-Efficiency Ride-Hailing Orders: A Case Study of Haikou, China
* Understanding the structure of diffusive scale-spaces
* Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection
* Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery
* Understanding the twin-image problem in phase retrieval
* Understanding the User's Acceptance of a Sensor-Based Ambient Assisted Living Application
* Understanding the User Perception in Visual Lifelogging: A Pilot Study in Malaysian Context
* Understanding the vulnerability of skeleton-based Human Activity Recognition via black-box attack
* Understanding Three-View Drawings Based on Heuristics
* Understanding tools: Task-oriented object modeling, learning and recognition
* Understanding Traffic Density from Large-Scale Web Camera Data
* Understanding trained CNNs by indexing neuron selectivity
* Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms
* Understanding Tree-to-Tree Variations in Stone Pine (Pinus pinea L.) Cone Production Using Terrestrial Laser Scanner
* Understanding Tumor Micro Environment Using Graph Theory
* Understanding Uncertainty Maps in Vision with Statistical Testing
* Understanding Underwater Photogrammetry for Maritime Archaeology Through Immersive Virtual Reality
* Understanding Urban Area Attractiveness Based on Private Car Trajectory Data Using a Deep Learning Approach
* Understanding Urban Expansion on the Tibetan Plateau over the Past Half Century Based on Remote Sensing: The Case of Xining City, China
* Understanding Urban Growth in Beijing-Tianjin-Hebei Region over the Past 100 Years Using Old Maps and Landsat Data
* Understanding Urban Regeneration In Turkey
* Understanding Urban Traffic Flow Characteristics From The Network Centrality Perspective At Different Granularities
* Understanding Users' Satisfaction towards Public Transit System in India: A Case-Study of Mumbai
* Understanding V2V Driving Scenarios Through Traffic Primitives
* Understanding Vector-Valued Neural Networks and Their Relationship With Real and Hypercomplex-Valued Neural Networks: Incorporating intercorrelation between features into neural networks
* Understanding vehicle motion via spatial integration of intensities
* Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video
* Understanding Video Scenes through Text: Insights from Text-based Video Question Answering
* Understanding Video Transformers via Universal Concept Discovery
* Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
* Understanding Vine Hyperspectral Signature through Different Irrigation Plans: A First Step to Monitor Vineyard Water Status
* Understanding Vision
* Understanding visual behaviour, Special Issue Introduction
* Understanding visual dictionaries via Maximum Mutual Information curves
* Understanding VQA for Negative Answers Through Visual and Linguistic Inference
* Understanding Water Level Changes in the Great Lakes by an ICA-Based Merging of Multi-Mission Altimetry Measurements
* Understanding What we Cannot See: Automatic Analysis of 4D Digital In-Line Holographic Microscopy Data
* Understanding when spatial transformer networks do not support invariance, and what to do about it
* Understanding Where to Project Information on the Desk for Supporting Work with Paper and Pen
* Understanding Whitening Loss in Self-Supervised Learning
* Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion
* Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network
* Underwater 3D capture using a low-cost commercial depth camera
* Underwater 3D imaging by FFT dynamic focusing beamforming
* Underwater 3D Mapping: Experiences and Lessons learned
* Underwater 3d Modeling: Image Enhancement And Point Cloud Filtering
* Underwater 3D Rigid Object Tracking and 6-DOF Estimation: A Case Study of Giant Steel Pipe Scale Model Underwater Installation
* Underwater 3D Scanning System for Cultural Heritage Documentation
* Underwater Acoustic Channel Blind Identification Based on Matrix Outer-Product Decomposition Algorithm
* Underwater Acoustic Localization of the Black Box Based on Generalized Second-Order Time Difference of Arrival (GSTDOA)
* Underwater Acoustic Nonlinear Blind Ship Noise Separation Using Recurrent Attention Neural Networks
* Underwater Acoustic Pulsed Source Localization with a Pair of Hydrophones
* Underwater Acoustic Scattering from Multiple Ice Balls at the Ice-Water Interface
* Underwater Acoustic Target Recognition: A Combination of Multi-Dimensional Fusion Features and Modified Deep Neural Network
* Underwater Active Oneshot Scan with Static Wave Pattern and Bundle Adjustment
* Underwater Adaptive Video Transmissions Using MIMO-Based Software-Defined Acoustic Modems
* Underwater Attentional Generative Adversarial Networks for Image Enhancement
* Underwater Autonomous Vehicles
* Underwater bubble plume image generative model based on noise prior and multi conditional labels
* Underwater buried object recognition using wavelet packets and Fourier descriptors
* Underwater Calibration of Dome Port Pressure Housings
* Underwater Camera Calibration Using Wavelength Triangulation
* Underwater Camera Calibration
* Underwater Change Detection Using Multiple Sampling-Based Probabilistic Learner and Feature Preservance Discriminator
* Underwater Color Correction Network With Knowledge Transfer
* Underwater Color Disparities: Cues for Enhancing Underwater Images Toward Natural Color Consistencies
* Underwater Color Image Quality Evaluation Metric, An
* Underwater Communication Using UAVs to Realize High-Speed AUV Deployment
* Underwater Computer Vision and Pattern Recognition
* Underwater Depth Estimation via Stereo Adaptation Networks
* Underwater Equipotential Line Tracking Based on Self-Attention Embedded Multiagent Reinforcement Learning Toward AUV-Based ITS
* Underwater Fish Tracking for Moving Cameras Based on Deformable Multiple Kernels
* Underwater Hyperspectral Imaging (UHI): A Review of Systems and Applications for Proximal Seafloor Ecosystem Studies
* Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System
* Underwater Hyperspectral Imaging System with Liquid Lenses
* Underwater Hyperspectral Imaging Using a Stationary Platform in the Trans-Atlantic Geotraverse Hydrothermal Field
* Underwater Hyperspectral Target Detection with Band Selection
* Underwater image and video dehazing with pure haze region segmentation
* Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning
* Underwater Image Color Analysis and Indicators Based on Statistical Characteristics
* Underwater Image Color Correction Using Ensemble Colorization Network
* Underwater Image Color Correction using Exposure-Bracketing Imaging
* Underwater image colour constancy based on DSNMF
* Underwater Image Dehazing Using The Color Space Dimensionality Reduction Prior
* Underwater Image Dehazing with a Light Field Camera
* Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks
* Underwater image enhancement based on color restoration and dual image wavelet fusion
* Underwater image enhancement based on colour correction and fusion
* Underwater Image Enhancement Based on Conditional Generative Adversarial Network
* Underwater image enhancement based on global features and prior distribution guided
* Underwater Image Enhancement Based on Polarization Imaging
* Underwater image enhancement based on structure-texture decomposition
* Underwater Image Enhancement Benchmark Dataset and Beyond, An
* Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior
* Underwater image enhancement by modified color correction and adaptive Look-Up-Table with edge-preserving filter
* Underwater Image Enhancement by Wavelength Compensation and Dehazing
* Underwater Image Enhancement Method Based on Balanced Adaption Compensation, An
* Underwater image enhancement method based on denoising diffusion probabilistic model
* Underwater image enhancement method using weighted guided trigonometric filtering and artificial light correction
* Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric
* Underwater Image Enhancement Using a Mixed Generative Adversarial Network
* Underwater Image Enhancement Using Adaptive Retinal Mechanisms
* Underwater image enhancement using guided trigonometric bilateral filter and fast automatic color correction
* Underwater Image Enhancement Using Pre-trained Transformer
* Underwater image enhancement via a channel-wise transmission estimation network
* Underwater image enhancement via integrated RGB and LAB color models
* Underwater image enhancement via LBP-based attention residual network
* Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
* Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement
* Underwater image enhancement via multicolor space-guided curve estimation
* Underwater Image Enhancement via Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement
* Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion
* Underwater image enhancement with global-local networks and compressed-histogram equalization
* Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors
* Underwater image enhancement with image colorfulness measure
* Underwater image enhancement with latent consistency learning-based color transfer
* Underwater Image Enhancement With Lightweight Cascaded Network
* Underwater Image Enhancement: Using Wavelength Compensation and Image Dehazing (WCID)
* Underwater image processing and analysis: A review
* Underwater image processing method for fish localization and detection in submarine environment
* Underwater Image Quality Assessment Metric, An
* Underwater Image Quality Assessment: Benchmark Database and Objective Method
* Underwater Image Quality Assessment: Subjective and Objective Methods
* Underwater Image Quality Improvement via Color, Detail, and Contrast Restoration
* Underwater image quality optimization: Researches, challenges, and future trends
* Underwater image recovery method considering target polarization characteristics
* Underwater Image Restoration Based on a Parallel Convolutional Neural Network
* Underwater Image Restoration Based on Image Blurriness and Light Absorption
* Underwater image restoration based on light attenuation prior and color-contrast adaptive correction
* Underwater image restoration based on minimum information loss principle and optical properties of underwater imaging
* Underwater image restoration by color compensation and color-line model
* Underwater Image Restoration Using Color-Line Model
* Underwater Image Restoration using Deep Networks to Estimate Background Light and Scene Depth
* Underwater Image Restoration via Contrastive Learning and a Real-World Dataset
* Underwater image restoration: A state-of-the-art review
* Underwater image super-resolution and enhancement via progressive frequency-interleaved network
* Underwater image super-resolution using multi-stage information distillation networks
* Underwater Image Synthesis from RGB-D Images and its Application to Deep Underwater Image Restoration
* Underwater Image Vision Enhancement Algorithm Based on Contour Bougie Morphology, An
* Underwater Imaging with a Moving Acoustic Lens
* Underwater Imaging, Color Correction, Restoration
* Underwater Light Field Retention: Neural Rendering for Underwater Imaging
* Underwater Live Fish Recognition Using a Balance-Guaranteed Optimized Tree
* Underwater marker-based pose-estimation with associated uncertainty
* Underwater Microscopic Shape from Focus
* Underwater Mine Classification with Imperfect Labels
* Underwater Moving Object Detection using an End-to-End Encoder-Decoder Architecture and GraphSage with Aggregator and Refactoring
* Underwater Multispectral Laser Serial Imager for Spectral Differentiation of Macroalgal and Coral Substrates
* Underwater navigation by video sequence analysis
* Underwater object classification combining SAS and transferred optical-to-SAS Imagery
* Underwater object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy
* Underwater Object Detection Based on Improved EfficientDet
* Underwater object detection in noisy imbalanced datasets
* Underwater Object Detection
* Underwater Optical Imaging: Methods, Applications and Perspectives
* Underwater organisms detection algorithm based on multi-scale perception and representation enhancement
* Underwater Passive Location Technology Using Dummy Time-Reversal Mirror
* Underwater Pathfinding Algorithm for Optimised Planning of Survey Dives, An
* Underwater Photogrammetry and 3D Reconstruction of Marble Cargos Shipwreck
* Underwater Photogrammetry Digital Surface Model (DSM) of the Submerged Site of the Ancient Lighthouse Near Qaitbay Fort in Alexandria, Egypt
* Underwater Photogrammetry Methods for a Peculiar Case-Study: San Domenico (Prato-Italy)
* Underwater Photogrammetry, Coded Target And Plenoptic Technology: A Set Of Tools for Monitoring Red Coral in Mediterranean Sea in the Framework Of the perfect Project
* Underwater Photogrammetry: Potentialities and Problems Results of The Benchmark Session of the 2019 Sifet Congress
* Underwater scene prior inspired deep underwater image and video enhancement
* Underwater Scene Recovery Using Wavelength-Dependent Refraction of Light
* Underwater sEMG-based recognition of hand gestures using tensor decomposition
* Underwater sensing with omni-directional stereo camera
* Underwater Side-Scan Sonar Target Detection: YOLOv7 Model Combined with Attention Mechanism and Scaling Factor
* Underwater Side-Scan Sonar Transfer Recognition Method Based on Crossed Point-to-Point Second-Order Self-Attention Mechanism, An
* Underwater Single-Photon Lidar Equipped with High-Sampling-Rate Multi-Channel Data Acquisition System
* Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
* Underwater sonar image classification using generative adversarial network and convolutional neural network
* Underwater stereo image enhancement using a new physical model
* Underwater Stereo Using Refraction-Free Image Synthesized From Light Field Camera
* Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods
* Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks
* Underwater Target Tracking Control of an Untethered Robotic Fish With a Camera Stabilizer
* Underwater Temperature and Salinity Measurement by Rayleigh-Brillouin Spectroscopy Using Fizeau Interferometer and PMT Array
* Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images
* Underwater Topography Detection in Coastal Areas Using Fully Polarimetric SAR Data
* Underwater Topography Inversion in Liaodong Shoal Based on GRU Deep Learning Model
* Underwater Use of a Hyperspectral Camera to Estimate Optically Active Substances in the Water Column of Freshwater Lakes
* Underwater vegetation detection in high frequency sonar images: A preliminary approach
* Underwater Video Enhancement Using Manta Ray Foraging Lion Optimization-Based Fusion Convolutional Neural Network
* Underwater Video Mosaicing for Seabed Mapping
* Underwater Video Mosaics as Visual Navigation Maps
* Underwater Vision Workshop
* Underway Hyperspectral Bio-Optical Assessments of Phytoplankton Size Classes in the River-Influenced Northern Gulf of Mexico
* Undesirable effects of output normalization in multiple classifier systems
* Undetectable image tampering through JPEG compression anti-forensics
* Undirected graph representing strategy for general room layout estimation
* UnDispNet: Unsupervised Learning for Multi-Stage Monocular Depth Prediction
* Undistorted Projection onto Dynamic Surface
* Undoing Page Curl Distortion Using Applicable Surfaces
* Undoing Paper Curl Distortion Using Applicable Surfaces
* Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification
* Undoing the Damage of Dataset Bias
* Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation
* Undue influence: Mitigating range-intensity coupling in AMCW flash lidar using scene texture
* Une large base de données pour la détection de segments de vidéos TV
* Unequal-arm adaptive Rood pattern search for fast block-matching motion estimation in the JVT/H.26L
* Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data
* Unequal channel error protection of multiple description codes for wireless media streaming
* Unequal channel protection of multiple description codes for wireless broadcast applications
* Unequal Dimension Track-to-Track Fusion Approaches Using Covariance Intersection
* Unequal Erasure Protection Technique for Scalable Multistreams
* Unequal Error Protection and Progressive Decoding for JPEG2000
* Unequal Error Protection for Foveation-based Error Resilience Over Mobile Networks
* Unequal error protection for motion compensated video streaming over the internet
* Unequal error protection for MPEG-2 video transmission over wireless channels
* Unequal error protection for real-time video streaming using expanding window Reed-Solomon code
* Unequal Error Protection for Robust Streaming of Scalable Video Over Packet Lossy Networks
* Unequal Error Protection for Scalable Video Storage in the Cloud
* Unequal error protection for transmission of JPEG2000 codestreams over noisy channels
* Unequal Error Protection of MPEG-4 Compressed Video
* unequal error protection scheme for reliable peer-to-peer scalable video streaming, An
* Unequal Error Protection Techniques Based on Wyner-Ziv Coding
* Unequal Error Protection Using Convolutional Codes for PCA-Coded Images
* Unequal Error Protection Using Fountain Codes With Applications to Video Communication
* Unequal Length First-Order Linear-Phase Filter Banks for Efficient Image Coding
* Unequal loss-protected multiple description coding of scalable source streams using a progressive approach
* Unequal Loss Protection for H.263 Compressed Video
* Unequal loss protection for robust transmission of motion compensated video over the internet
* Unequal Power Allocation for JPEG Transmission Over MIMO Systems
* Unequal Priority Arrangement for Delivering Streaming Videos over Differentiated Service Networks
* Unequal Protection of Video Data According to Slice Relevance
* unequally protected Distributed Compressed Video Sensing algorithm, An
* Unequally protected SPIHT video codec for low bit rate transmission over highly error-prone mobile channels
* UNET-Based Multi-Task Architecture for Brain Lesion Segmentation
* UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
* UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
* UNETR: Transformers for 3D Medical Image Segmentation
* UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation
* Uneven Bi-Classifier Learning for Domain Adaptation
* Uneven Frontiers: Exposing the Geopolitics of Myanmar's Borderlands with Critical Remote Sensing
* Uneven Illumination Correction Algorithm for Optical Remote Sensing Images Covered with Thin Clouds, An
* Unexpected Expansion of Rare-Earth Element Mining Activities in the Myanmar-China Border Region
* Unexpected Human Behavior Recognition in Image Sequences Using Multiple Features
* Unexpected Regional Zonal Structures in Low Latitude Ionosphere Call for a High Longitudinal Resolution of the Global Ionospheric Maps
* Unexpected Spatial Patterns in Exponential Family Auto Models
* Unexploded Ordnance Detection and Mitigation
* Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains
* Unfalsified Visual Servoing for Simultaneous Object Recognition and Pose Tracking
* Unfolded Deep Kernel Estimation for Blind Image Super-Resolution
* Unfolded Proximal Neural Networks for Robust Image Gaussian Denoising
* Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging: Explainable AI reveals new imaging frontiers
* Unfolding a Face: From Singular to Manifold
* Unfolding an Indoor Origami World
* Unfolding Events in Space and Time: Geospatial Insights into COVID-19 Diffusion in Washington State during the Initial Stage of the Outbreak
* Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging
* Unfolding Kernel embeddings of graphs: Enhancing class separation through manifold learning
* Unfolding Level 1 Menger Polycubes of Arbitrary Size With Help of Outer Faces
* Unfolding Spatial-Temporal Patterns of Taxi Trip based on an Improved Network Kernel Density Estimation
* Unfolding the Cerebral Cortex Using Level Set Methods
* Unfolding warping for object recognition
* Unforced Image Partitioning by Weighted Pyramid Linking
* UNFusion: A Unified Multi-Scale Densely Connected Network for Infrared and Visible Image Fusion
* Ungeneralizable Examples
* Ungrammatical grammar in pattern recognition
* Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction
* Uni-and-Bi-Directional Video Prediction via Learning Object-Centric Transformation
* Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks
* Uni-orthogonal Nonnegative Tucker Decomposition for Supervised Image Classification
* Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
* Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks
* Uni-Temporal Multispectral Imagery for Burned Area Mapping with Deep Learning
* Uni-to-Multi Modal Knowledge Distillation for Bidirectional LiDAR-Camera Semantic Segmentation
* Uni MS-PS: A multi-scale encoder-decoder transformer for universal photometric stereo
* Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection
* Uni3DA: Universal 3D Domain Adaptation for Object Recognition
* Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation
* Uniaxial Complex Relative Permittivity Tensor Measurement of Rocks From 40 Hz to 4.5 GHz
* UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
* UNIC: A fast nonparametric clustering
* UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification
* Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge
* UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
* UniCoRN: A Unified Conditional Image Repainting Network
* UniCR: Universally Approximated Certified Robustness via Randomized Smoothing
* Unicrowd Simulator: Visual and Behavioral Fidelity For The Generation of Crowd Datasets
* UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration
* UniDCP: Unifying Multiple Medical Vision-Language Tasks via Dynamic Cross-Modal Learnable Prompts
* Unideal Iris Segmentation Using Region-Based Active Contour Model
* Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
* UniDepth: Universal Monocular Metric Depth Estimation
* UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy
* UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning
* Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
* Unidirectional Representation-Based Efficient Dictionary Learning
* Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones
* UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
* UniEnc-CASSNAT: An Encoder-Only Non-Autoregressive ASR for Speech SSL Models
* UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation
* Uniface: A Unified Network for Face Detection and Recognition
* UniFace: Unified Cross-Entropy Loss for Deep Face Recognition
* UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing
* Unification and Integration of Visual Modules: An Extension of the Marr Paradigm
* unification framework for tree and block wavelet encoders, A
* Unification of a Global Height System at the Centimeter-Level Using Precise Clock Frequency Signal Links
* Unification of Detection, Tracking, and Recognition for Millimeter Wave and Infrared Sensors, The
* Unification of Distance and Volume Optimization in Surface Simplification
* Unification of Evidence Theoretic Fusion Algorithms: A Case Study in Level-2 and Level-3 Fingerprint Features
* Unification of image fusion and super-resolution using jointly trained dictionaries and local information contents
* Unification of Multichannel Motion Feature Using Boolean Polynomial
* Unification of Nonlinear Filtering in the Context of Binary Logical Calculus, Part I: Binary Filters
* Unification of Nonlinear Filtering in the Context of Binary Logical Calculus, Part II: Gray-Scale Filters
* Unification Scheme for 3D Surface Reconstruction Using Physically Based Models
* Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
* unified 2D-3D video scene change detection framework for mobile camera platforms, A
* Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Networks
* Unified 3D face and ear recognition using wavelets on geometry images
* Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder*, A
* Unified 3D Models for Multisensor Image Synthesis
* Unified Access to Media Metadata on the Web
* unified active and semi-supervised learning framework for image compression, A
* unified adaptive approach to accurate skin detection, A
* Unified Adaptive Relevance Distinguishable Attention Network for Image-Text Matching
* Unified Adversarial Patch for Cross-modal Attacks in the Physical World
* Unified Adversarial Patch for Visible-Infrared Cross-Modal Attacks in the Physical World
* Unified Algebraic Approach to 2-D and 3-D Motion Segmentation and Estimation, A
* Unified Algebraic Approach to 2-D and 3-D Motion Segmentation, A
* Unified Algorithm for Channel Imbalance and Antenna Phase Center Position Calibration of a Single-Pass Multi-Baseline TomoSAR System, A
* Unified Algorithm for the Atmospheric Correction of Satellite Remote Sensing Data over Land and Ocean, A
* Unified Algorithm for the Sliding Spotlight and TOPS Modes Data Processing in Bistatic Configuration of the Geostationary Transmitter with LEO Receivers, A
* Unified algorithm to generate Walsh functions in four different orderings and its programmable hardware implementations
* Unified Alternating Direction Method of Multipliers by Majorization Minimization, A
* Unified and accurate diffraction calculation between two concentric cylindrical surfaces
* unified and complexity scalable entropy coding scheme for video compression, A
* Unified and Efficient Approach for Free-form Deformable Registration, A
* unified and efficient semi-supervised learning framework for stereo matching, A
* Unified and Interpretable Emotion Representation and Expression Generation, A
* unified and pipelined hardware architecture for implementing intra prediction in HEVC, A
* Unified and Real-Time Image Geo-Localization via Fine-Grained Overlap Estimation
* Unified Anomaly Suppression and Boundary Extraction in Laser Radar Range Imagery based on a Joint Curve-Evolution and Expectation-Maximization Algorithm
* Unified Application of Style Transfer for Face Swapping and Reenactment
* Unified Approach Combining Photometric and Geometric Information for Pose Estimation, A
* unified approach for a simultaneous and cooperative estimation of defocus blur and spatial shifts, An
* unified approach for automatic camera calibration from vanishing points, A
* Unified Approach for Coding and Interpreting Face Images, A
* Unified Approach for Combining ASM into AAM, A
* Unified approach for constructing multiwavelets with approximation order using refinable super-functions
* Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning, A
* Unified Approach for Digital Image Inpainting Using Bounded Search Space, A
* Unified Approach for Early-Phase Image Understanding Using a General Decision Criterion
* Unified Approach for EIT Imaging of Regional Overdistension and Atelectasis in Acute Lung Injury, A
* Unified Approach for Filtering and Edge Detection in Noisy Images, A
* Unified Approach for Image Segmentation Using Exact Statistics, A
* Unified Approach for Modeling Longitudinal and Failure Time Data, with Application in Medical Monitoring, A
* unified approach for motion analysis and view synthesis, A
* Unified Approach for Occlusion Tolerant 3D Facial Pose Capture and Gaze Estimation using MocapNETs, A
* Unified Approach for On-Road Visual Night-Time Vehicle Light Detection, A
* Unified Approach for Registration and Depth in Depth from Defocus, A
* Unified Approach for Text-and Image-Guided 4D Scene Generation, A
* Unified Approach for Tracking UAVs in Infrared, A
* Unified Approach of Bit-Rate Control for Binary and Gray-Level Shape Sequences Coding, A
* Unified Approach of Multi-scale Deep and Hand-Crafted Features for Defocus Estimation, A
* Unified Approach of Multitemporal SAR Data Filtering Through Adaptive Estimation of Complex Covariance Matrix, A
* Unified approach to absolute radiometric calibration in the solar-reflective range
* unified approach to autofocus and alignment for pattern localization using hybrid weighted Hausdorff distance, A
* unified approach to background adaptation and initialization in public scenes, A
* Unified Approach to Boundary Perception: Edges, Textures and Illusory Contours, A
* Unified Approach to Calibrate a Network of Camcorders and ToF cameras, A
* Unified Approach to Camera Fixation and Vision-Based Road Following, A
* Unified Approach to Detecting Spatial Outliers, A
* Unified Approach to Detection and Identification of Commercial Films by Temporal Occurrence Pattern
* unified approach to detection of shot boundaries and subshots in compressed video, A
* Unified Approach to Diffusion Direction Sensitive Slice Registration and 3-D DTI Reconstruction From Moving Fetal Brain Anatomy, A
* Unified Approach to Facial Affect Analysis: the MAE-Face Visual Representation, A
* Unified Approach to Feature Selection and Learning in Unsupervised Environments, A
* Unified Approach to Gradual Shot Transition Detection, A
* Unified Approach to Iconic Indexing, Retrieval, and Maintenance of Spatial Relationships in Image Databases, A
* Unified approach to image distortion
* Unified Approach to Image Distortion: D-U and U-D Models
* Unified Approach to Image Matching and Segmentation in Stereo, Motion, and Object Recognition via Recovery of Epipolar Geometry, A
* Unified Approach to Kinship Verification, A
* unified approach to lapped orthogonal transforms, A
* Unified Approach to Model-Based and Model-Free Visual Servoing, An
* Unified Approach to Moving Object Detection in 2D and 3D Scenes, A
* Unified Approach to Noise Removal, Image-Enhancement, and Shape Recovery, A
* Unified Approach to Noniterative Linear Signal Restoration, A
* Unified Approach to Optimal Image Interpolation Problems Based On Linear Partial Differential Equation Models, A
* Unified Approach to Pattern Analysis, A
* unified approach to pattern recognition, A
* Unified Approach to PDE-Driven Morphology for Fields of Orthogonal and Generalized Doubly-Stochastic Matrices, A
* Unified Approach To Real-time, Multi-resolution, Multi-baseline 2d View Synthesis And 3d Depth Estimation Using Commodity Graphics Hardware, A
* unified approach to restoration, deinterlacing and resolution enhancement in decoding MPEG-2 video, A
* Unified Approach to Restoration, Deinterlacing and Superresolution of Mpeg-2 Decoded Video, A
* unified approach to salient object detection via low rank matrix recovery, A
* Unified Approach to Segmentation and Categorization of Dynamic Textures, A
* unified approach to self-calibration of terrestrial laser scanners, A
* Unified Approach to Shot Change Detection and Camera Motion Characterization, A
* unified approach to statistical tomography using coordinate descent optimization, A
* Unified Approach to Superresolution and Multichannel Blind Deconvolution, A
* Unified Approach to the Change of Resolution: Space and Gray Level, A
* Unified Approach to the Linear Camera Calibration Problem, A
* unified approach to the recognition of complex actions from sequences of zone-crossings, A
* Unified Approach to the Recognition of Expected and Unexpected Geon-Based Objects
* unified approach to the segmentation of grey-level and dot-pattern images, A
* Unified Approach to the Well-Posedness of Some Non-Lambertian Models in Shape-from-Shading Theory, A
* Unified Approach to Threat Assessment and Control for Automotive Active Safety, A
* Unified Approach to Video Face Detection, Tracking and Recognition, A
* Unified Approach to Volumetric Registration and Integration of Multiple Range Images, A
* Unified Architecture Adaptation for Compressed Domain Semantic Inference
* unified architecture for fast HEVC intra-prediction coding, A
* unified architecture for real-time video-coding systems, A
* unified architecture for the detection and classification of license plates, A
* Unified Attentive Cycle-Generative Adversarial Framework for Deriving Electrocardiogram From Seismocardiogram Signal, A
* Unified Audio-Visual Saliency Model for Omnidirectional Videos With Spatial Audio
* Unified Automatic Plant Cover and Phenology Prediction
* Unified B-Spline Framework for Scale-Invariant Keypoint Detection, A
* unified balanced approach to multichannel blind deconvolution, A
* Unified Bayesian Approach to Multi-Frame Super-Resolution and Single-Image Upsampling in Multi-Sensor Imaging, A
* Unified Bayesian Framework for Adaptive Visual Tracking, A
* unified Bayesian framework for face recognition, A
* Unified Bayesian Inference Framework for Generalized Linear Models, A
* unified Bayesian mixture model framework via spatial information for grayscale image segmentation, A
* Unified Binary Generative Adversarial Network for Image Retrieval and Compression
* Unified Blending Framework For Panorama Completion Via Graph Cuts, A
* Unified Blind Method for Multi-Image Super-Resolution and Single/Multi-Image Blur Deconvolution
* Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images
* Unified Brightness Temperature Features Analysis Framework for Mapping Mare Basalt Units Using Chang'e-2 Lunar Microwave Sounder (CELMS) Data, A
* Unified Building Model for 3D Urban GIS, A
* Unified Bundling and Registration of Brain White Matter Fibers
* Unified Calibration Approach For Generic Cameras, An
* Unified Camera Calibration Using Geometry and Blur of Feature Points, A
* Unified characterization of imaging sensors from visible through longwave IR
* Unified Characterization of P-Simple Points in Triangular, Square, and Hexagonal Grids
* Unified Chinese License Plate detection and recognition with high efficiency
* Unified Cloud Platform for Autonomous Driving, A
* Unified Coarse-to-Fine Alignment for Video-Text Retrieval
* Unified Color and Contrast Age-Dependent Visual Content Adaptation, A
* Unified complexity model for H.264/AVC video processing on mobile platform
* Unified Computation of Strict Maximum Likelihood for Geometric Fitting
* Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI, A
* Unified Computational Theory for Motion Transparency and Motion Boundaries Based on Eigenenergy Analysis, A
* Unified Concept Editing in Diffusion Models
* Unified Confidence Estimation Networks for Robust Stereo Matching
* unified context assessing model for object categorization, A
* Unified Continual Learning Framework with General Parameter-Efficient Tuning, A
* Unified Contour-Pixel Model for Figure-Ground Segmentation, A
* Unified Contrastive Learning in Image-Text-Label Space
* Unified Convolutional Beamformer for Simultaneous Denoising and Dereverberation, A
* Unified convolutional neural network for direct facial keypoints detection
* Unified Cross-domain Classification via Geometric and Statistical Adaptations
* Unified Crowd Segmentation
* unified CSF-based framework for edge detection and edge visibility, A
* Unified curiosity-Driven learning with smoothed intrinsic reward estimation
* Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves, A
* Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning
* Unified Data Embedding and Scrambling Method, A
* Unified decision combination framework
* Unified deep learning approach for prediction of Parkinson's disease
* Unified Deep Learning Framework for ssTEM Image Restoration, A
* Unified Deep Metric Representation for Mesh Saliency Detection and Non-Rigid Shape Matching, A
* Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment, A
* unified deep sparse graph attention network for scene graph generation, A
* Unified Deep Supervised Domain Adaptation and Generalization
* unified definition and computation of Laplacian spectral distances, A
* Unified Density-aware Image Dehazing and Object Detection in Real-world Hazy Scenes
* Unified Density-Driven Framework for Effective Data Denoising and Robust Abstention, A
* Unified depth intra coding for 3D video extension of HEVC
* Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural Fields
* Unified description of three-dimensional optical diffraction microscopy: from transmission microscopy to optical coherence tomography: tutorial
* Unified Design of a Feature-Based ADAC System for Mine Hunting Using Synthetic Aperture Sonar
* Unified Detection and Tracking of Instruments during Retinal Microsurgery
* Unified Detection of Digital and Physical Face Attacks
* Unified detection of skewed rotation, reflection and translation symmetries from affine invariant contour features
* Unified Dictionary Learning and Region Tagging with Hierarchical Sparse Representation
* Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals, A
* unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data, A
* Unified Direct Visual Tracking of Rigid and Deformable Surfaces Under Generic Illumination Changes in Grayscale and Color Images
* Unified discriminating feature analysis for visual category recognition
* Unified Discriminative and Coherent Semi-Supervised Subspace Clustering
* Unified Distance Transform Algorithm and Architecture, A
* Unified dual for bi-class SVM approaches
* Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations
* Unified Efficient Pyramid Transformer for Semantic Segmentation, A
* Unified Embedding and Metric Learning for Zero-Exemplar Event Detection
* Unified Energy-based Generative Network for Supervised Image Hashing
* Unified Energy Minimization Framework for Model Fitting in Depth, A
* Unified Entropy Optimization for Open-Set Test-Time Adaptation
* Unified Experiment Design, Bayesian Minimum Risk and Convex Projection Regularization Method for Enhanced Remote Sensing Imaging
* unified extreme learning machines and discriminative random fields for automatic knee cartilage and meniscus segmentation from multi-contrast MR images, The
* Unified Face Analysis by Iterative Multi-output Random Forests
* Unified Face Attack Detection with Micro Disturbance and a Two-Stage Training Strategy
* Unified Factorization Algorithm for Points, Line Segments and Planes with Uncertainty Models, A
* Unified feature analysis in JPEG and JPEG 2000-compressed domains
* Unified Feature and Instance Selection Framework Using Optimum Experimental Design, A
* Unified Focusing Algorithm for Several Modes of SAR Based on FrFT, A
* Unified Form for the Robust Gaussian Information Filtering Based on M-Estimate
* unified formalism for video descriptors, A
* Unified Formulation for the Computation of the Six-Degrees-of-Freedom-Motion-Induced Errors in Floating Doppler Wind LiDARs, A
* Unified Formulation of a Class of Image Thresholding Techniques
* Unified Formulation of Invariant Point Pattern Matching, A
* Unified formulation of linear discriminant analysis methods and optimal parameter selection
* Unified Formulation of Polarimetric Weather Radar With Application to IQ Data Simulation, A
* Unified Formulation of SAR Raw Signals From Extended Scenes for All Acquisition Modes With Application to Simulation, A
* Unified forward+inverse transform architecture for HEVC
* Unified Four-Stream Radiative Transfer Theory in the Optical-Thermal Domain with Consideration of Fluorescence for Multi-Layer Vegetation Canopies
* Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering from Bleed-Through, A
* Unified Framework for 3D Hand Tracking, A
* unified framework for alignment and correspondence, A
* Unified Framework for Anomaly Detection of Satellite Images Based on Well-Designed Features and an Artificial Neural Network, A
* Unified Framework for Atlas Based Brain Image Segmentation and Registration, A
* Unified Framework for Automated 3-D Segmentation of Surface-Stained Living Cells and a Comprehensive Segmentation Evaluation, A
* Unified Framework for Automated Iris Segmentation Using Distantly Acquired Face Images
* Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks
* Unified Framework for Automatic Distributed Active Learning, A
* Unified Framework For Bases, Frames, Subspace Bases, and Subspace Frames, A
* Unified Framework for Biometric Expert Fusion Incorporating Quality Measures, A
* Unified framework for colourising corrupted image
* Unified Framework for Compositional Fitting of Active Appearance Models, A
* Unified Framework for Compressive Video Recovery from Coded Exposure Techniques, A
* Unified Framework for Concurrent Pedestrian and Cyclist Detection, A
* Unified Framework for Consistent 2-D/3-D Foreground Object Detection, A
* Unified Framework for Constructing Nonconvex Regularizations, A
* unified framework for content-aware view selection and planning through view importance, A
* unified framework for convolution-based graph neural networks, A
* Unified Framework for Cropland Field Boundary Detection and Segmentation, A
* unified framework for damaged image fusion and completion based on low-rank and sparse decomposition, A
* Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching, A
* Unified Framework for Detecting Groups and Application to Shape Recognition, A
* Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization, A
* Unified Framework for Distance-Aware Domain Adaptation, A
* Unified Framework for Dividing and Predicting a Large Set of Action Units, A
* unified framework for document restoration using inpainting and shape-from-shading, A
* Unified Framework for Domain Adaptive Pose Estimation, A
* Unified Framework for Event Summarization and Rare Event Detection from Multiple Views, A
* unified framework for event summarization and rare event detection, A
* Unified Framework for Fault Detection of Freight Train Images Under Complex Environment, A
* Unified Framework for General Compact and Quad Polarimetric SAR Data and Imagery Analysis, A
* Unified Framework for Generalizable Style Transfer: Style and Content Separation, A
* unified framework for generalized Linear Discriminant Analysis, A
* Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data, A
* Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation, A
* Unified Framework for High Fidelity Face Swap and Expression Reenactment, A
* Unified Framework for Human-centric Point Cloud Video Understanding, A
* Unified Framework for Identity and Imagined Action Recognition From EEG Patterns
* Unified Framework for Image Retrieval Using Keyword and Visual Features, A
* Unified Framework for Implicit Sinkhorn Differentiation, A
* Unified Framework for Indexing and Matching Hierarchical Shape Structures, A
* unified framework for interactive image segmentation via Fisher rules, A
* unified framework for land-cover database update and enrichment using satellite imagery, A
* Unified Framework for Language Guided Image Completion, An
* Unified Framework for Line Extraction in Dioptric and Catadioptric Cameras, A
* unified framework for local visual descriptors evaluation, A
* unified framework for locating and recognizing human actions, A
* Unified Framework for MAP Estimation in Remote Sensing Image Segmentation, A
* Unified Framework for Masked and Mask-Free Face Recognition Via Feature Rectification, A
* Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning, A
* Unified Framework for Modern Synthetic-Aperture Imaging Algorithms
* Unified Framework for Monocular Video-Based Facial Motion Tracking and Expression Recognition, A
* unified framework for multi-sensor HDR video reconstruction, A
* Unified Framework for Multi-target Tracking and Collective Activity Recognition, A
* Unified Framework for Multi-view Multi-class Object Pose Estimation, A
* unified framework for multimodal retrieval, A
* Unified Framework for Multioriented Text Detection and Recognition, A
* unified framework for non-negative matrix and tensor factorisations with a smoothed Wasserstein loss, A
* Unified Framework for Object Retrieval and Mining, A
* unified framework for peak detection and alignment: Application to HR-MAS 2D NMR spectroscopy, A
* Unified Framework for Performance Evaluation of 3-D Reconstruction Techniques, A
* Unified Framework for Probabilistic Analysis and Extraction of Video Content, A
* unified framework for quasi-linear bundle adjustment, A
* Unified Framework for Recognizing Handwritten Chemical Expressions, A
* Unified framework for representing and ranking
* Unified Framework for Robust Estimation of Brain Networks From fMRI Using Temporal and Spatial Correlation Analyses
* Unified Framework for Robustness on Diverse Sampling Errors, A
* Unified Framework for Salient Structure Detection by Contour-Guided Visual Search, A
* Unified Framework for Scene Illuminant Estimation, A
* Unified Framework for Segmentation-Assisted Image Registration, A
* unified framework for semantic matching of architectural floorplans, A
* unified framework for semi-supervised dimensionality reduction, A
* Unified Framework for Ship Detection in Multi-Frequency SAR Images: A Demonstration with COSMO-SkyMed, Sentinel-1, and SAOCOM Data
* Unified Framework for Shot Type Classification Based on Subject Centric Lens, A
* unified framework for spatiotemporal salient region detection, A
* unified framework for spectral domain prediction and end-to-end distortion estimation in scalable video coding, A
* Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification, A
* Unified Framework for Subspace Face Recognition, A
* Unified Framework for Symbol Segmentation and Recognition of Handwritten Mathematical Expressions, A
* Unified Framework for the Restoration of Images Corrupted by Additive White Noise, A
* Unified Framework for Tracking Based Text Detection and Recognition from Web Videos, A
* Unified Framework for Tracking through Occlusions and across Sensor Gaps, A
* unified framework for uncertainty propagation in automatic shape tracking, A
* Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion, A
* Unified Framework for Wavelet Transforms Based on the Lifting Scheme, A
* unified framework for web video topic discovery and visualization, A
* Unified Framework Integrating Decision Making and Trajectory Planning Based on Spatio-Temporal Voxels for Highway Autonomous Driving, A
* Unified Framework of Clustering Approach in Vehicular Ad Hoc Networks, A
* unified framework of hash-based matching for screen content coding, A
* Unified Framework of Latent Feature Learning in Social Media, A
* Unified Framework of Subspace and Distance Metric Learning for Face Recognition, A
* Unified Framework of Surrogate Loss by Refactoring and Interpolation, A
* Unified Framework to Assess Myocardial Function from 4D Images, A
* Unified Framework to Recover 3-D Surfaces by Combining Image-Based and Externally-Supplied Constraints, A
* Unified Frequency Domain Analysis of Lightfield Cameras
* Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
* Unified Functional Framework for Restoration of Image Sequences Degraded by Atmospheric Turbulence
* Unified fusion rules for multisensor multihypothesis network decision systems
* Unified Generative Adversarial Networks for Controllable Image-to-Image Translation
* Unified Gradient-Based Approach for Combining ASM into AAM, A
* unified gradient domain method for seamless image processing, A
* Unified Graph-Based Multicue Feature Fusion for Robust Visual Tracking
* Unified graph matching in Euclidean spaces
* Unified Graph Structured Models for Video Understanding
* Unified Graphical Models Framework for Automated Mitosis Detection in Human Embryos, A
* Unified Graphics Rendering Pipeline for Autostereoscopic Rendering, A
* Unified HDR Imaging Method with Pixel and Patch Level, A
* Unified hierarchical multi-object tracking using global data association
* Unified Hierarchical XGBoost model for classifying priorities for COVID-19 vaccination campaign, A
* Unified Huynen Phenomenological Decomposition of Radar Targets and Its Classification Applications
* Unified Hybrid Terrain Representation Based on Local Convexifications
* Unified Hyperelastic Joint Segmentation/Registration Model Based on Weighted Total Variation and Nonlocal Shape Descriptors, A
* Unified Image and Video Saliency Modeling
* Unified image fusion based on application-adaptive importance measure
* Unified Image Registration Framework for ITK, A
* unified image retrieval framework on local visual and semantic concept-based feature spaces, A
* Unified Implicit Neural Stylization
* unified information-theoretic approach to the correspondence problem in image registration, A
* Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection
* Unified Interpretable Deep Network for Joint Super-Resolution and Pansharpening
* Unified Intra Mode Coding Based on Short and Long Range Correlations
* Unified Keypoint-Based Action Recognition Framework via Structured Keypoint Pooling
* Unified Knowledge Distillation Framework for Deep Directed Graphical Models, A
* Unified Land-Ocean Quasi-Geoid Computation from Heterogeneous Data Sets Based on Radial Basis Functions
* Unified Language-Driven Zero-Shot Domain Adaptation
* Unified Lateral Preview Driver Model for Road Vehicles, A
* Unified Learning-Based Lossy and Lossless JPEG Recompression
* Unified learning approach for egocentric hand gesture recognition and fingertip detection
* unified learning framework for object detection and classification using nested cascades of boosted classifiers, A
* unified learning framework for real time face detection and classification, A
* Unified Levelling Network of Sarawak and its Adjustment, The
* unified linear fitting approach for singular and nonsingular 3D quadrics from occluding contours, A
* Unified Loop Closing and Recovery for Real Time Monocular SLAM
* Unified Loop Filter for Video Compression
* unified low-order information-theoretic feature selection framework for multi-label learning, A
* Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image
* Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering
* Unified Lowering Decision of Parametric Thinning in the Hypothesis Test Framework
* Unified LZ and Hybrid Coding for Compound Image Partial-Lossless Compression, A
* unified Markov random field/marked point process image model and its application to computational materials, A
* Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
* Unified Mathematical Form of the Walsh-Hadamard Transform for Lossless Image Data-Compression, A
* Unified Maximum Likelihood Form for Bias Constrained FIR Filters
* Unified Maximum Likelihood Framework for Simultaneous Motion and T_1 Estimation in Quantitative MR T_1 Mapping, A
* Unified Memory-based Approach to Cut, Dissolve, Key Frame and Scene Analysis, A
* Unified Method Based on Wavelet Transform and C-V Model for Crack Segmentation of 3D Industrial CT Images, A
* unified method for augmented incremental recognition of online handwritten Japanese and English text, A
* unified method for optimizing linear image restoration filters, A
* Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants, A
* Unified Methodology for the Generalisation of the Geometry of Features, A
* Unified Metric Learning-Based Framework for Co-Saliency Detection, A
* Unified Microwave Radiative Transfer Model for General Planar Stratified Media: Slab Formulation, A
* Unified Mixture Framework for Motion Segmentation: Incorporating Spatial Coherence and Estimating the Number of Models, A
* unified model for activity recognition from video sequences, A
* unified model for continuous conditional video prediction, A
* Unified Model for Face Matching and Presentation Attack Detection using an Ensemble of Vision Transformer Features, A
* Unified Model for Gaze Following and Social Gaze Prediction, A
* unified model for human activity recognition using spatial distribution of gradients and difference of Gaussian kernel, A
* Unified Model for Human Behavior Modeling Using a Hierarchy with a Variable Number of States, A
* Unified Model for Image Colorization, A
* Unified Model for Line Projections in Catadioptric Cameras with Rotationally Symmetric Mirrors, A
* Unified Model for Multi-Frequency PPP Ambiguity Resolution and Test Results with Galileo and BeiDou Triple-Frequency Observations, A
* Unified Model for Near and Remote Sensing, A
* Unified model for omnidirectional vision using the conformal geometric algebra framework
* Unified Model for Probabilistic Principal Surfaces, A
* Unified Model for Socially Interconnected Multimedia-Enriched Objects, A
* unified model for the fairness mechanism-based coordinated vehicle route guidance, A
* unified model for the sparse optimal scoring problem, A
* unified model of appearance and motion of video and its application in STIP detection, A
* Unified Model of GMRF and MOG for Image Segmentation, A
* unified model of spectacular and diffuse reflectance for rough, glossy surfaces, A
* Unified Modeling of Nonhomogeneous 3D Objects for Thermal and Visual Image Synthesis
* Unified Models for Second-Order TV-Type Regularisation in Imaging: A New Perspective Based on Vector Operators
* Unified multi-lateral filter for real-time depth map enhancement
* Unified multi-level neighbor clustering for Source-Free Unsupervised Domain Adaptation
* Unified Multi-modal Structure for Retrieving Tracked Vehicles through Natural Language Descriptions, A
* Unified Multi-Modality Video Object Segmentation Using Reinforcement Learning
* Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection, A
* Unified multi-scale method for fast leaf classification and retrieval using geometric information
* Unified multi-spectral pedestrian detection based on probabilistic fusion networks
* Unified Multi-Task Learning Architecture for Fast and Accurate Pedestrian Detection, A
* Unified Multi-Weather Visibility Restoration
* Unified multiframe super-resolution of matte, foreground, and background
* unified multilingual handwriting recognition system using multigrams sub-lexical units, A
* Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition, A
* Unified Multiplicative Framework for Attribute Learning, A
* Unified Multiscale Framework for Planar, Surface, and Curve Skeletonization, An
* Unified Multisensory Perception: Weakly-supervised Audio-visual Video Parsing
* Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
* Unified Neighbor Reconstruction Method for Embeddings, A
* Unified Network for Arbitrary Scale Super-Resolution of Video Satellite Images, A
* Unified Neural Network Based Pathologic Event Reconstruction Using Spatial Heart Model
* Unified No-Reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images
* Unified Numerical Scheme for Coupled Multiphysics Model, A
* Unified Object Counting Network with Object Occupation Prior, A
* Unified Object Detection Framework for Intelligent Retail Container Commodities, A
* Unified Object Motion and Affinity Model for Online Multi-Object Tracking, A
* Unified Objective for Novel Class Discovery, A
* Unified Online Dictionary Learning Framework with Label Information for Robust Object Tracking, A
* Unified Open-Vocabulary Dense Visual Prediction
* Unified Optical-Flow Field Approach To Motion Analysis from a Sequence of Stereo Images
* Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies
* Unified Optimization Based Learning Method for Image Retrieval, A
* Unified optimization framework for localization and tracking of multiple targets with multiple cameras
* Unified Optimization Framework for Low-Rank Inducing Penalties, A
* Unified Optimization Perspective to Single/Multi-observation Blur-Kernel Estimation with Applications to Camera-Shake Deblurring and Nonparametric Blind Super-Resolution, A
* Unified Out-Of-Distribution Detection: A Model-Specific Perspective
* Unified Pansharpening Model Based on Band-Adaptive Gradient and Detail Correction, A
* Unified Partial Configuration Model Framework for Fast Partially Occluded Object Detection in High-Resolution Remote Sensing Images
* Unified Perceptual Parsing for Scene Understanding
* Unified Performance Evaluation for OCR Zoning: Calculating Page Segmentation's Score, That Includes Text Zones, Tables and Non-text Objects
* unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving, A
* unified perspective of classification-based loss and distance-based loss for cross-view gait recognition, A
* Unified Perspective on Computational Techniques for the Measurement of Visual Motion, A
* Unified Photo Enhancement by Discovering Aesthetic Communities from Flickr
* Unified Physical-Digital Attack Detection Challenge
* Unified Physically Based Method for Monitoring Grassland Nitrogen Concentration with Landsat 7, Landsat 8, and Sentinel-2 Satellite Data, A
* Unified Point-Based Framework for 3D Segmentation, A
* Unified Pose Sequence Modeling
* Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification
* unified prediction method for heterogeneous weather radar patterns, A
* Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
* Unified Probabilistic Approach Modeling Relationships between Attributes and Objects, A
* Unified Probabilistic Approach to Feature Matching and Object Segmentation, A
* Unified Probabilistic Formulation of Image Aesthetic Assessment, A
* unified probabilistic framework for automatic 3D facial expression analysis based on a Bayesian belief inference and statistical feature models, A
* Unified Probabilistic Framework for Facial Activity Modeling and xoUnderstanding, A
* unified probabilistic framework for measuring the intensity of spontaneous facial action units, A
* Unified probabilistic framework for simultaneous detection and tracking of multiple objects with application to bio-image sequences
* Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding, A
* unified probabilistic framework of robust and efficient color consistency correction for multiple images, A
* Unified Projection Method for Fast Search of Vector Quantization, A
* Unified Pyramid Recurrent Network for Video Frame Interpolation, A
* Unified Quality Assessment of in-the-Wild Videos with Mixed Datasets Training
* Unified quality assessment of natural and screen content images via adaptive weighting on double scales
* Unified Query-based Paradigm for Point Cloud Understanding, A
* Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue
* unified rate-distortion analysis framework for transform coding, A
* Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features
* Unified real time software decoder for HEVC extensions
* Unified Recognition and Stereo Vision System for Size Assessment of Fish, A
* unified reconstruction framework for both parallel-beam and variable focal-length fan-beam collimators by a Cormack-type inversion of exponential Radon transform, A
* unified rectification method for single viewpoint multi-camera system, A
* Unified Recurrence Modeling for Video Action Anticipation
* Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments, An
* Unified Referring Expression Generation for Bounding Boxes and Segmentations
* Unified Region-Based Template Matching Approach for Intra and Inter Prediction in VVC, A
* Unified Regularization Framework for Virtual Frontal Face Image Synthesis, A
* Unified Relevance Feedback Framework for Web Image Retrieval, A
* unified representation for interactive 3D modeling, A
* unified RGB-T crowd counting learning framework, A
* Unified Robust Path Planning and Optimal Trajectory Generation for Efficient 3D Area Coverage of Quadrotor UAVs
* Unified Rolling Shutter and Motion Blur Model for 3D Visual Registration, A
* Unified Scheme for Super-Resolution and Depth Estimation From Asymmetric Stereoscopic Video, A
* Unified Secondary Transform for Intra Coding Beyond AV1
* unified setting for projections in pattern recognition, A
* Unified Single-Image and Video Super-Resolution via Denoising Algorithms
* Unified Single Image De-raining Model via Region Adaptive Coupled Network, A
* unified space decomposition formulation of iterative methods in image deconvolution, A
* Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model, A
* Unified Sparse Subspace Learning via Self-Contained Regression
* Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance, A
* unified spatio-temporal articulated model for tracking, A
* Unified Spatio-Temporal Attention Networks for Action Recognition in Videos
* Unified Spatio-Temporal Dynamic Routing for Efficient Video Object Segmentation
* Unified Spatio-Temporal Model for Short-Term Traffic Flow Prediction, A
* Unified Spectral-Domain Approach for Saliency Detection and Its Application to Automatic Object Segmentation, A
* Unified Stability and Plasticity for Lifelong Person Re-Identification in Cloth-Changing and Cloth-Consistent Scenarios
* Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration, A
* Unified Stereo-based 3d Head Tracking Using Online Illumination Modeling
* Unified Stochastic Model for Detecting and Tracking Faces, A
* Unified Strategy for Landing and Docking Using Spherical Flow Divergence, A
* Unified Strategy to Deal with Different Natures of Reject, A
* unified structural-stochastic model for texture analysis and synthesis, A
* Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification
* Unified subspace analysis for face recognition
* Unified subspace learning for incomplete and unlabeled multi-view data
* Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction
* Unified System For Object Detection, Texture Recognition, and Context Analysis Based on the Standard Model Feature Set, A
* Unified System for Segmentation and Tracking of Face and Hands in Sign Language Recognition, A
* Unified Target Detection and Tracking Using Motion Coherence
* unified tensor framework for face recognition, A
* Unified Tensor Modeling for Blind Receivers in Multiuser Uplink Cooperative Systems
* Unified Text Extraction Method for Instructional Videos, A
* Unified Texture Management for Arbitrary Meshes
* Unified Texture Model Based on a 2-D Wold Like Decomposition, A
* Unified Theory for Steerable and Quadrature Filters, A
* Unified Theory of Structure from Motion, A
* Unified Theory of Uncalibrated Stereo for Both Perspective and Affine Cameras
* Unified Topological Framework for Digital Imaging, A
* Unified Topological Framework for Retrieving 2D and 3D Multi-scale Spatial Information
* Unified Traffic Model for MPEG-4 and H.264 Video Traces, A
* Unified Training of Feature Extractor and HMM Classifier for Speech Recognition
* Unified Transformer-based Tracker for Anti-UAV Tracking, A
* Unified Transformer Framework for Group-Based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection, A
* Unified Transformer Network for Multi-Weather Image Restoration
* Unified Transformer Tracker for Object Tracking
* Unified Transformer with Isomorphic Branches for Natural Language Tracking
* Unified Transition Detection Based on Bipartite Graph Matching Approach, An
* unified tree-based framework for joint action localization, recognition and segmentation, A
* Unified Underwater Structure-from-Motion
* Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing
* Unified Unsupervised Learning Framework for Stereo Matching and Ego-Motion Estimation, A
* Unified Variational Volume Registration Method Based on Automatically Learned Brain Structures, A
* Unified Video Annotation via Multigraph Learning
* Unified Video Codec for SDR, HDR, and 360° Video Applications, A
* Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis, A
* unified view of class-selection with probabilistic classifiers, A
* Unified View of Rank-based Decision Combination, A
* Unified View of Two-Dimensional Principal Component Analyses, A
* Unified View on Deformable Shape Factorizations, A
* Unified View on Patch Aggregation, A
* Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations
* Unified Visual Information Preservation Framework for Self-supervised Pre-Training in Medical Image Analysis, A
* Unified Visual Relationship Detection with Vision and Language Models
* Unified wedgelet genenration for depth coding in 3D-HEVC
* unified weight learning and low-rank regression model for robust complex error modeling, A
* Unified, Multiresolution Framework for Automatic Target Recognition, A
* UnifiedTT: Visual tracking with unified transformer
* Uniform and Competency-Based 3D Keypoint Detection for Coarse Registration of Point Clouds with Homogeneous Structure
* Uniform and Non-uniform Sampling Methods for Sub-linear Time k-means Clustering
* Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising
* Uniform and Variational Deep Learning for RGB-D Object Recognition and Person Re-Identification
* Uniform Bayesian Framework for Integration, A
* Uniform Color Scale Applications to Computer Graphics
* Uniform Color Space-Based High Dynamic Range Video Compression
* Uniform Color Space with Advanced Hue Linearity: Pcs23-ucs
* Uniform color spaces and natural image statistics
* Uniform Color Spaces for Color Sensors
* Uniform competency-based local feature extraction for remote sensing images
* Uniform depth region-based registration between colour channels and its application to single camera-based multifocusing
* Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering
* Uniform distribution of points on a hyper-sphere with applications to vector bit-plane encoding
* Uniform Distribution, Distance and Expectation Problems for Geometric Features Processing
* Uniform Embedding for Efficient Steganography of H.264 Video
* Uniform Finite Time Safe Path Tracking Control for Obstacle Avoidance of Autonomous Vehicle via Barrier Function Approach
* Uniform Framework for Estimating Illumination Chromaticity, Correspondence, and Specular Reflection, A
* Uniform Grid Structure to Speed Up Example-Based Photometric Stereo, A
* Uniform image and camera access
* Uniform Line Parameterization
* Uniform misclassification loss for unbiased model prediction
* Uniform motion-compensated 5/3 filterhank for subband video coding
* Uniform Motion Blur in Poissonian Noise: Blur/Noise Tradeoff
* Uniform Partitioning of Data Grid for Association Detection
* Uniform Polarimetric Matrix Rotation Theory and Its Applications
* Uniform Priors for Data-Efficient Learning
* Uniform probability model for deriving intra prediction angular table in High Efficiency Video Coding
* Uniform Projection for Multi-View Learning
* Uniform query formalization in mobile visual search: From standards to practice
* uniform representation model for OCT-based fingerprint presentation attack detection and reconstruction, A
* Uniform Resampling of Digitized Contours
* Uniform Robust Scale-Invariant Feature Matching for Optical Remote Sensing Images
* Uniform Rolling-Wear-Based Robust Adaptive Control of High-Speed Trains in the Presence of Actuator Differences
* Uniform Spherical Coordinate Quantization of Spherically Symmetric Sources
* Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching
* Uniform Threshold TCQ with Block Classification for Image Transmission over Noisy Channels
* uniform transformer-based structure for feature fusion and enhancement for RGB-D saliency detection, A
* Uniform trellis coded quantization for image transmission over noisy channels
* UniFormer: Unifying Convolution and Self-Attention for Visual Recognition
* UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding
* UniformFace: Learning Deep Equidistributed Representation for Face Recognition
* Uniformity-Approximated Histogram Equalization Algorithm for Image Enhancement, A
* Uniformity-Based Superpixel Segmentation of Hyperspectral Images
* Uniformity and Homogeneity Based Hierarchical Clustering
* Uniformity correction and threshold or halftoning conversion unit and method
* Uniformity correction with homomorphic filtering on region of interest
* uniformity criterion and algorithm for data clustering, A
* Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting
* Uniformity Index for Precipitation Particle Axis Ratios Derived from Radar Polarimetric Parameters for the Identification and Analysis of Raindrop Areas, A
* Uniformity of Imaging Spectrometry Data Products
* Uniformity testing using minimal spanning tree
* uniformizing method of MR image intensity transformation, An
* Uniformly asymptotical stability of nonlinear time delay systems
* Uniformly minimum variance unbiased estimation for asynchronous event-based cameras
* Uniformly Partitioning Images on Virtual Hexagonal Structure
* Uniformly sampling multi-resolution analysis for image-based relighting
* UniFusion: Unified Multi-view Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View
* Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation
* Unifying Algebraic Solvers for Scaled Euclidean Registration from Point, Line and Plane Constraints
* Unifying Analysis of Full Reference Image Quality Assessment
* Unifying Analytical Methods With Numerical Methods for Traffic System Modeling and Control
* Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications, A
* Unifying Approach for Fast License Plate Localization and Super-Resolution
* Unifying Approach to ECG Biometric Recognition Using the Wavelet Transform, A
* Unifying Approach to Hard and Probabilistic Clustering, A
* Unifying Approach to Moment-Based Shape Orientation and Symmetry Classification, A
* Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help
* Unifying Automatic and Interactive Matting with Pretrained ViTs
* Unifying Background Models over Complex Audio using Entropy
* Unifying Boundary and Region-based Information for Geodesic Active Tracking
* Unifying Building Instance Extraction and Recognition in UAV Images
* Unifying Characterization of Deformable Registration Methods Based on the Inherent Parametrization: An Attempt at an Alternative Analysis Approach
* Unifying Concepts of Statistical and Spectral Quantitative Ultrasound Techniques
* Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN
* Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation, A
* Unifying conversational multimedia interfaces for accessing network services across communication devices
* Unifying Convolution and Transformer for Efficient Concealed Object Detection in Passive Millimeter-Wave Images
* Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis
* unifying criterion for unsupervised clustering and feature selection, A
* Unifying Deep ConvNet and Semantic Edge Features for Loop Closure Detection
* Unifying Deep Local and Global Features for Image Search
* Unifying diffuse and specular reflections for the photometric stereo problem
* Unifying discriminative visual codebook generation with classifier training for object category recognition
* Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning
* Unifying Energy Minimization and Mutual Information Maximization for Robust 2D/3D Registration of X-Ray and CT Images
* Unifying Event Detection and Captioning as Sequence Generation via Pre-training
* Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data: Part I: Theory
* Unifying Experiment Design and Convex Regularization Techniques for Enhanced Imaging With Uncertain Remote Sensing Data: Part II: Adaptive Implementation and Performance Issues
* Unifying Flow, Stereo and Depth Estimation
* Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions
* Unifying frame rate and temporal dilations for improved remote pulse detection
* Unifying Framework for Analysis of Spatial-Temporal Event Sequence Similarity and Its Applications, A
* unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models, A
* unifying framework for color image calibration, A
* Unifying Framework for Correspondence-Less Linear Shape Alignment, A
* Unifying Framework for Human-Agent Collaborative Systems: Part II: Design Procedure and Application, A
* Unifying Framework for Invariant Pattern-Recognition, A
* Unifying Framework for Learning the Linear Combiners for Classifier Ensembles, A
* unifying framework for lossless and progressive image coding, A
* Unifying Framework for Mutual Information Methods for Use in Non-linear Optimisation, A
* Unifying Framework for n-Dimensional Quasi-Conformal Mappings, A
* unifying framework for partial volume segmentation of brain MR images, A
* Unifying Framework for Relational Structure Matching, A
* Unifying Framework for Structure and Motion Recovery from Image Sequences, A
* unifying geometric representation for central projection systems, A
* Unifying Guided and Unguided Outdoor Image Synthesis
* Unifying Heterogeneous Classifiers With Distillation
* Unifying holistic and Parts-Based Deformable Model fitting
* Unifying Identification and Context Learning for Person Recognition
* Unifying Layout Generation with a Decoupled Diffusion Model
* Unifying local and global content-based similarities for home photo retrieval
* Unifying Low-Level and High-Level Music Similarity Measures
* Unifying MAP-MRF Framework for Deriving New Point Similarity Measures for Intensity-based 2D-3D Registration, A
* Unifying Margin-Based Softmax Losses in Face Recognition
* Unifying maximum likelihood approaches in medical image registration
* Unifying measured point sequences of deforming objects
* Unifying Model for Camera Calibration, A
* Unifying Motion Deblurring and Frame Interpolation with Events
* Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
* Unifying Multiple Description Facets for Symbolic Image Retrieval
* Unifying Mutual Information View of Metric Learning: Cross-entropy vs. Pairwise Losses, A
* Unifying Nonlocal Blocks for Neural Networks
* Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition
* Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph
* Unifying Omnidirectional Camera Model and its Applications, A
* Unifying Panoptic Segmentation for Autonomous Driving
* Unifying Parametric Framework for 2D Steerable Wavelet Transforms, A
* Unifying Perspectives in Computational and Robot Vision
* Unifying Planar and Point Mapping in Monocular SLAM
* Unifying Probabilistic Framework for Partially Labeled Data Learning, A
* Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication
* Unifying Quantitative, Semi-quantitative and Qualitative Spatial Relation Knowledge Representations Using Mathematical Morphology
* Unifying Registration and Segmentation for Multi-sensor Images
* Unifying Registration Based Tracking: A Case Study with Structural Similarity
* Unifying Regularization and Bayesian Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part I: Theory
* Unifying Regularization and Bayesian Estimation Methods for Enhanced Imaging With Remotely Sensed Data-Part II: Implementation and Performance Issues
* Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition
* Unifying remote sensing change detection via deep probabilistic change models: From principles, models to applications
* unifying resolution-independent formulation for early vision, A
* Unifying Review of Deep and Shallow Anomaly Detection, A
* Unifying Shading and Texture Through an Active Observer
* Unifying Short and Long-Term Tracking with Graph Hierarchies
* Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking
* Unifying statistical texture classification frameworks
* Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification
* Unifying Sum and Weighted Aggregations for Efficient Yet Effective Image Representation Computation
* Unifying Temporal Context and Multi-Feature With Update-Pacing oFramework for Visual Tracking
* Unifying Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
* Unifying the Experiment Design and Constrained Regularization Paradigms for Reconstructive Imaging with Remote Sensing Data
* Unifying the random walker algorithm and the SIR model for graph clustering and image segmentation
* Unifying the Video and Question Attentions for Open-Ended Video Question Answering
* Unifying Theory for Central Panoramic Systems and Practical Implications, A
* Unifying Theory of Active Discovery and Learning, A
* Unifying Theory of Driver Perception and Steering Control on Straight and Winding Roads, A
* Unifying Top-Down and Bottom-Up Scanpath Prediction Using Transformers
* Unifying Top-Down Views by Task-Specific Domain Adaptation
* Unifying Training and Inference for Panoptic Segmentation
* Unifying Two-View and Three-View Geometry
* Unifying Vascular Information in Intensity-Based Nonrigid Lung CT Registration
* unifying view for stack filter design based on graph search methods, A
* Unifying View of Contour Length Bias Correction, A
* Unifying View of Image Similarity, A
* unifying view on dataset shift in classification, A
* Unifying Vision, Text, and Layout for Universal Document Processing
* Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework
* Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective
* Unifying Visual Perception by Dispersible Points Learning
* UniG-Encoder: A universal feature encoder for graph and hypergraph node classification
* UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence
* UniGS: Unified Representation for Image Generation and Segmentation
* UniHCP: A Unified Model for Human-Centric Perceptions
* UniHIST: A unified framework for image restoration with marginal histogram constraints
* UniHuman: A Unified Model For Editing Human Images in the Wild
* UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors
* Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection
* UniMF: A Unified Multimodal Framework for Multimodal Sentiment Analysis in Missing Modalities and Unaligned Multimodal Sequences
* UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier
* UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data
* UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
* UniMod1K: Towards a More Universal Large-Scale Dataset and Benchmark for Multi-modal Learning
* Unimodal-Bio-GAN: Keyless biometric salting scheme based on generative adversarial network
* Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression
* Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis
* Unimodal and Multimodal Human Perception of Naturalistic Non-Basic Affective States During Human-Computer Interactions
* Unimodal Face Classification with Multimodal Training
* Unimodal Multi-Task Fusion for Emotional Mimicry Intensity Prediction
* Unimodal regularisation based on beta distribution for deep ordinal regression
* Unimodal Reinforced Transformer With Time Squeeze Fusion for Multimodal Sentiment Analysis, A
* Unimodal Representation Learning and Recurrent Decomposition Fusion Structure for Utterance-Level Multimodal Embedding Learning, A
* Unimodal Stopping Model-Based Early SKIP Mode Decision for High-Efficiency Video Coding
* Unimodal thresholding for edge detection
* Unimodal thresholding for Laplacian-based Canny-Deriche filter
* Unimodal Thresholding
* UniMODE: Unified Monocular 3D Object Detection
* Unimodular Waveform Design for Dual-Function Radar-Communication Systems Under Per-User MUI Energy Constraint
* Unimodular Waveform Design for the DFRC System with Constrained Communication QoS
* UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks
* UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
* Uninformation Variable Elimination and Successive Projections Algorithm in Mid-Infrared Spectral Wavenumber Selection
* Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features
* Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings
* Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape Segmentation: The Opposing Metrics Method
* Unintentional Action Localization via Counterfactual Examples
* Union-Set Multi-source Model Adaptation for Semantic Segmentation
* Union of Dynamic Hydrological Modeling and Satellite Remotely-Sensed Data for Spatiotemporal Assessment of Sediment Yields, A
* Uniondet: Union-level Detector Towards Real-time Human-object Interaction Detection
* UnionFormer: Unified-Learning Transformer with Multi-View Representation for Image Manipulation Detection and Localization
* UniPAD: A Universal Pre-Training Paradigm for Autonomous Driving
* UniParser: Multi-Human Parsing With Unified Correlation Representation Learning
* UNIPEN project of on-line data exchange and recognizer benchmarks
* Unipen Project
* UniPose: Unified Human Pose Estimation in Single Images and Videos
* UniPose+: A Unified Framework for 2D and 3D Human Pose Estimation in Images and Videos
* Uniprojective Features for Gait Recognition
* UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
* UniPTS: A Unified Framework for Proficient Post-Training Sparsity
* unique-ID-based matrix strategy for efficient iconic indexing of symbolic pictures, A
* unique approach in text independent speaker recognition using MFCC feature sets and probabilistic neural network, A
* Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit Detection
* unique database synthesis technique for coverless data hiding, A
* Unique Geometry and Texture From Corresponding Image Patches
* Unique hue correction applied to the color rendering of LED light sources
* Unique people count from monocular videos
* Unique Pre-Earthquake Deformation Patterns in the Spatial Domains from GPS in Taiwan
* Unique Reconstruction of Piecewise Smooth Images by Minimizing Strictly Convex Nonquadratic Functionals
* Unique Recovery of Motion and Optic Flow Via Lie Algebras
* Unique Role of the Jason Geodetic Missions for high Resolution Gravity Field and Mean Sea Surface Modelling, The
* Unique Sequence of Events Triggers Manta Ray Feeding Frenzy in the Southern Great Barrier Reef, Australia
* Unique shape context for 3d data description
* Unique Signatures of Histograms for Local Surface Description
* Unique Solution of Projective Invariants of 6 Points from 4 Uncalibrated Images, The
* unique target representation and voting mechanism for visual tracking, A
* Unique tomographic reconstruction of vector fields using boundary data
* Unique Vertex Deleting Algorithm for Graph Isomorphism, A
* UNIQUE: Unsupervised Image Quality Estimation
* Uniquely-Determined Thinning of the Tie-Zone Watershed Based on Label Frequency
* Uniquely parsable array grammars for generating and parsing connected patterns
* Uniquely Representing Point Patterns with Minimal Information
* Uniqueness and Approximation of a Photometric Shape-from-Shading Model
* Uniqueness and Direct Imaging Method for Inverse Scattering by Locally Rough Surfaces with Phaseless Near-Field Data
* Uniqueness and Estimation of 3-D Motion Parameters and Surface Structures of Rigid Objects
* Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces
* Uniqueness characteristics of the 2-D IIR mean squared error minimization
* Uniqueness Filtering for Local Feature Descriptors in Urban Building Recognition
* Uniqueness for ab initio phase retrieval in macromolecular X-ray crystallography
* Uniqueness for shape from shading via photometric stereo technique
* Uniqueness Guarantee of Solutions of Tensor Tubal-Rank Minimization Problem
* Uniqueness in Shape from Shading Revisited
* Uniqueness in Shape from Shading
* Uniqueness of 3D affine reconstruction of lines with affine cameras
* Uniqueness of 3D Pose under Weak Perspective: A Geometrical Proof
* Uniqueness of blur measure
* Uniqueness of Locally Optimal Quantizer for Log-Concave Density and Convex Error Weighting Functions
* Uniqueness of Results for Multiple Correlations of Periodic Functions
* Uniqueness of Solutions to 3 Perspective Views of 4 Points
* Uniqueness of Solutions to Structure and Motion from Combinations of Point and Line Correspondences
* Uniqueness of Solutions to Two-Dimensional Fourier Phase Problems for Localized and Positive Images
* Uniqueness of the Gaussian Kernel for Scale-Space Filtering
* Uniqueness of the Perfect Fusion Grid on Zd
* Uniqueness of Tomography with Unknown View Angles
* Uniqueness Regions under Sets of Generic Projections in Discrete Tomography
* Uniqueness Results for Image Reconstruction from Features on Curves in alpha-Scale Spaces
* Uniqueness Results for Scattering and Inverse Scattering by Infinite Rough Surfaces with Tapered Wave Incidence
* Uniqueness, the Minimum Norm Constraint, and Analog Networks for Optical Flow Along Contours
* UniRender: Reconstructing 3D Surfaces from Aerial Images with a Unified Rendering Scheme
* UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
* UniRTL: A universal RGBT and low-light benchmark for object tracking
* UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
* UniSim: A Neural Closed-Loop Sensor Simulator
* UNIST: Unpaired Neural Implicit Shape Translation Network
* UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
* Unit Correlation With Interactive Feature for Robust and Effective Tracking
* Unit measure violations in pattern recognition: Ambiguity and irrelevancy
* Unit Selection Using Linguistic, Prosodic and Spectral Distance for Developing Text-to-Speech System in Hindi
* UniT: Multimodal Multitask Learning with a Unified Transformer
* UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation
* UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding
* UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling
* Unitail: Detecting, Reading, and Matching in Retail Scene
* Unitary Algorithm for Nonseparable Linear Canonical Transforms Applied to Iterative Phase Retrieval
* Unitary Catadioptric Objective Lens System
* Unitary Regression Classification With Total Minimum Projection Error for Face Recognition
* Unitary rotations in two-, three-, and D-dimensional Cartesian data arrays
* Unitary torus model for conical mirror based catadioptric system
* Unitary Transform-Based Template Protection and Its Application to l2-norm Minimization Problems
* Unitary Transformation Extension of PolSAR Four-Component Target Decomposition, A
* Unite and Conquer: Plug and Play Multi-Modal Synthesis Using Diffusion Models
* Unite the People: Closing the Loop Between 3D and 2D Human Representations
* United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning
* United Iterative Reconstruction for Spectral Computed Tomography
* United Snakes
* United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning from Videos
* United Zernike Invariants for Character Images
* UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
* Uniter: Universal Image-Text Representation Learning
* Uniting Keypoints: Local Visual Information Fusion for Large-Scale Image Search
* Uniting Stereo and Depth-from-Defocus: A Thin Lens-based Variational Framework for Multiview Reconstruction
* UnitModule: A lightweight joint image enhancement module for underwater object detection
* UniToBrain Dataset: A Brain Perfusion Dataset
* UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans
* Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading
* UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
* UniTR: A Unified TRansformer-Based Framework for Co-Object and Multi-Modal Saliency Detection
* Unity Is Strength: Coupling Media for Thematic Segmentation
* Unity Style Transfer for Person Re-Identification
* UnityShip: A Large-Scale Synthetic Dataset for Ship Recognition in Aerial Images
* Univ. of Illinois Parameter Estimation Papers
* Univariate Blending Functions and Alternatives
* Universal-Prototype Enhancing for Few-Shot Object Detection
* Universal-to-Specific Framework for Complex Action Recognition
* Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
* Universal Adversarial Attack Via Enhanced Projected Gradient Descent
* Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias
* Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation
* Universal adversarial perturbations against object detection
* Universal Adversarial Perturbations Against Semantic Image Segmentation
* Universal Adversarial Perturbations
* Universal Adversarial Robustness of Texture and Shape-Biased Models
* Universal Algorithm for Sequential Data Compression, A
* Universal Analytical Forms for Modeling Image Probabilities
* Universal and Adapted Vocabularies for Generic Visual Categorization
* Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution
* Universal and low-complexity quantizer design for compressive sensing image coding
* Universal and Personalized Access to Content via J2ME Terminals in the DYMAS System
* Universal and Scalable Weakly-Supervised Domain Adaptation
* Universal Approach for Geometric Modelling in Underwater Stereo Image Processing, A
* Universal Automatic Bottom Tracking Method of Side Scan Sonar Data Based on Semantic Segmentation, A
* Universal Background Models for Dynamic Signature Verification
* Universal Background Subtraction Based on Arithmetic Distribution Neural Network
* Universal Background Subtraction Using Word Consensus Models
* Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search
* Universal Black-Box Adversarial Patch Attack with Optimized Genetic Algorithm
* Universal BlackMarks: Key-Image-Free Blackbox Multi-Bit Watermarking of Deep Neural Networks
* Universal blind image quality assessment for stereoscopic images
* Universal Bounding Box Regression and Its Applications
* Universal Camera Calibration with Automatic Distortion Model Selection
* universal chain code compression method, A
* Universal character segmentation scheme for multifont OCR images
* Universal Chosen-Ciphertext Attack for a Family of Image Encryption Schemes
* Universal Chroma Subsampling Strategy for Compressing Mosaic Video Sequences With Arbitrary RGB Color Filter Arrays in H.264/AVC
* Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach
* Universal colour quantisation for different colour spaces
* universal colour transformation architecture, A
* Universal Control Scheme of Human-Like Steering in Multiple Driving Scenarios, A
* Universal Cooperative Localizer for WSN With Varied Types of Ranging Measurements
* Universal Counterforensics of Multiple Compressed JPEG Images
* Universal Cross-Domain 3D Model Retrieval
* Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains
* Universal Data Anomaly Detection via Inverse Generative Adversary Network
* Universal data capture technology from semi-structured forms
* Universal Data Compression System, A
* Universal Data Compression: An Overview
* Universal De-noising Algorithm For Ground-based Lidar Signal, A
* Universal deep demosaicking for sparse color filter arrays
* Universal Deep Image Compression via Content-Adaptive Optimization with Adapters
* Universal Dehazing via Haze Style Transfer
* Universal demosaicking for imaging pipelines with an RGB color filter array
* Universal Demosaicking for Interpolation-Friendly RGBW Color Filter Arrays
* Universal Demosaicking of Color Filter Arrays
* Universal Denoising Framework With a New Impulse Detector and Nonlocal Means, A
* Universal Denoising Networks: A Novel CNN Architecture for Image Denoising
* Universal Denoising of Continuous Amplitude Signals with Applications to Images
* Universal Design for Quality of Life Technologies
* Universal Destriping Framework Combining 1-D and 2-D Variational Optimization Methods, A
* Universal domain adaptation from multiple black-box sources
* Universal Domain Adaptation via Compressive Attention Matching
* Universal Domain Adaptation
* Universal Encoder Rate Distortion Optimization Framework for Learned Compression, A
* Universal Event-Based Plug-In Module for Visual Object Tracking in Degraded Conditions, A
* Universal Face Encoder: Learning Disentangled Representations Across Different Attributes, The
* Universal Face Photo-Sketch Style Transfer via Multiview Domain Translation
* Universal fingerprint minutiae extractor using convolutional neural networks
* Universal Frame Thresholding
* Universal Framework for Salient Object Detection, A
* Universal Framework of Spatiotemporal Bias Block for Long-Term Traffic Forecasting, A
* universal Full Reference image Quality Metric based on a neural fusion approach, A
* Universal Fuzzy Logic Optical Water Type Scheme for the Global Oceans, A
* Universal Generating Algorithm of the Polyhedral Discrete Grid Based on Unit Duplication, A
* Universal Guidance for Diffusion Models
* Universal HMM-Based Approach to Image Sequence Classification, A
* Universal HMT Based Super Resolution for Remote Sensing Images
* Universal Hough dictionaries for object tracking
* Universal Image Attractiveness Ranking Framework, An
* universal image coding approach using sparse steered Mixture-of-Experts regression, A
* Universal Image Coding Using Multiscale Recurrent Patterns and Prediction
* Universal Image Compression Using Multiscale Recurrent Patterns With Adaptive Probability Model
* universal image quality index, A
* Universal Impulse Noise Filter Based on Genetic Programming
* Universal Instance Perception as Object Discovery and Retrieval
* Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images, A
* Universal intra coding for arbitrary RGB color filter arrays in HEVC
* Universal JPEG steganalysis based on microscopic and macroscopic calibration
* Universal JPEG Steganalysis in the Compressed Frequency Domain
* Universal Knowledge-Based Imaging System for Hazardous Environments, A
* Universal Landslide Detection Method in Optical Remote Sensing Images Based on Improved YOLOX, A
* Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
* Universal lossless coding with random user access: The cost of interactivity
* Universal Lower Bound for Finite-Sample Reconstruction Error and Its Relation to Prolate Spheroidal Functions
* universal method for single character type recognition, A
* Universal minimax binary image denoising under channel uncertainty
* Universal Mismatched Steganalysis Equipped With Progressive Intermediate Domains
* Universal Modeling of Monoscopic and Multiview Video Codecs with Applications to Encoder Control
* Universal Morphological Interpolator
* Universal Mosaicing using Pipe Projection
* Universal Multi-dimensional Lossy Compression Algorithm, A
* Universal Multi-Frequency Micro-Resistivity Array Imaging Method for Subsurface Sensing, A
* Universal Multi-scale Matching Pursuits Algorithm with Reduced Blocking Effect
* Universal multi-Source domain adaptation for image classification
* Universal Multimodal Representation for Language Understanding
* Universal Multimode Background Subtraction
* Universal Noise Removal Algorithm With an Impulse Detector, A
* Universal Novelty Detection Through Adaptive Contrastive Learning
* Universal Object Detection with Large Vision Model
* Universal Optical Flow Based Real-Time Low-Latency Omnidirectional Stereo Video System, A
* universal pedestrian's foot-point and head-point recognition with improved motion detection algorithm, A
* Universal perceptual weighted zerotree coding for image and video compression
* Universal Perturbation Attack Against Image Retrieval
* Universal Perturbation Generation for Black-box Attack Using Evolutionary Algorithms
* Universal Photometric Stereo Network using Global Lighting Contexts
* Universal Physical Camouflage Attacks on Object Detectors
* Universal predictive systems
* Universal Principal Axes: An Easy-to-Construct Tool Useful in Defining Shape Orientations for Almost Every Kind of Shape
* Universal Prior for Integers and Esitmation by Minimum Description Length, A
* Universal Protocol to Benchmark Camera Calibration for Sports, A
* Universal Prototype Transport for Zero-Shot Action Recognition and Localization
* Universal Pyramid Segmentation Algorithm, A
* Universal Rate Control Scheme for Video Transcoding, A
* Universal Real-Time Adaptive Signal Compression for High-Frame-Rate Optoacoustic Tomography
* Universal Regularizers for Robust Sparse Coding and Modeling
* Universal Representation Learning from Multiple Domains for Few-shot Classification
* Universal Representations: A Unified Look at Multiple Task and Domain Learning
* Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution
* Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor
* Universal Seed Skin Segmentation
* Universal Segmentation at Arbitrary Granularity with Language Instruction
* Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
* Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
* Universal Semi-Supervised Semantic Segmentation
* Universal Share for Multisecret Image Sharing Scheme Based on Boolean Operation
* Universal Sketch Perceptual Grouping
* Universal Skin Detection Without Color Information
* Universal Snow Avalanche Modeling Index Based on SAFI-Flow-R Approach in Poorly-Gauged Regions
* Universal Software Only Radar with All Waveforms Simultaneously on a Single Platform
* Universal Source-Free Domain Adaptation
* Universal Spaces for (k,kbar)-Surfaces
* Universal spatial feature set for video steganalysis
* Universal Spectral Adversarial Attacks for Deformable Shapes
* Universal steganalysis of spatial content-independent and content-adaptive steganographic algorithms using normalized feature derived from empirical mode decomposed components
* Universal Steganalysis Using Features Derived from the Differential Image Histogram in Frequency Domain, A
* Universal String Matching Approach to Screen Content Coding, A
* Universal Technique for Analysing Discrete Super-Resolution Algorithms, A
* Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction
* Universal thresholder/discriminator
* Universal Trellis Coded Quantization
* universal two-way approach for estimating unknown frequencies for unknown number of sinusoids in a signal based on eigenspace analysis of Hankel matrix, A
* universal update-pacing framework for visual tracking, A
* Universal Variable Length Code for DCT Coding
* Universal Variational Framework for Sparsity-Based Image Inpainting, A
* Universal VBR videocodecs for ATM networks in the Belgian Broadband Experiment
* Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection
* Universal Weighting Metric Learning for Cross-Modal Matching
* Universal Weighting Metric Learning for Cross-Modal Retrieval
* universal, closed-form approach for absolute pose problems, A
* Universal, Transferable Adversarial Perturbations for Visual Object Trackers
* Universality of the Local Marginal Polytope
* Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures
* Universally Slimmable Networks and Improved Training Techniques
* UniverSeg: Universal Medical Image Segmentation
* Universidad de Córdoba
* Universidad de Las Palmas de Gran Canaria
* Universidad Politechnica de Valencia
* Universidad Rey Juan Carlos
* Universidade Federal do Paraná
* Universitat de Girona
* Universitat de València
* Universite de Sherbrooke
* Universite Jean Monnet
* Universite Paris IX Dauphine
* University College Dublin
* University College London
* University Jaume I
* University of Adelaide, The
* University of Alberta
* University of Alcala de Henares (Madrid, Spain), as a Dynamic Example and Laboratory of the Recovery, Rehabilitation, and Conservation of the Cultural Heritage, The
* University of Alcala
* University of Algarve
* University of Amsterdam
* University of Arizona
* University of Auckland, The
* University of Autononoma de Barcelona
* University of Basel
* University of Beira Interior
* University of Bergen
* University of Bern
* University of Bielefeld
* University of Bologna
* University of Bonn, Computer Vision Group
* University of Bonn, Institute for Photogrammetry
* University of Bremen
* University of Brescia
* University of Brighton
* University of Bristol
* University of British Columbia
* University of Caen
* University of Calgary
* University of California, Berkeley
* University of California, Irvine
* University of California, Los Angeles
* University of California, Merced
* University of California, Riverside
* University of California, San Diego
* University of California, Santa Barbara
* University of California, Santa Cruz
* University of Canterbury
* University of Cape Town
* University of Castilla-La Mancha
* University of Central Florida
* University of Colorado, Colorado Springs
* University of Copenhagen
* University of Costa Rica
* University of Delaware
* University of Dundee
* University of East Anglia
* University of Edinburgh
* University of Erlangen-Nuremberg
* University of Essex
* University of Exeter
* University of Florence
* University of Florida
* University of Freiburg
* University of Geneva
* University of Genova
* University of Georgia
* University of Glasgow
* University of Granada
* University of Groninen
* University of Guelph
* University of Hamburg
* University of Hannover
* University of Hawaii at Manoa
* University of Heidelberg BMCV
* University of Heidelberg
* University of Hong Kong
* University of Houston
* University of Illinois Datasets
* University of Illinois
* University of Jena
* University of Kaiserslautern, IUPR
* University of Karlsruhe
* University of Kentucky
* University of Koblenz
* University of Leeuwarden
* University of Liège
* University of Ljubljana
* University of Louisville
* University of Luebeck
* University of Lugano
* University of Malaga
* University of Manchester
* University of Manchester, Medicine
* University of Maryland
* University of Massachusetts VISIONS System
* University of Massachusetts
* University of Messina
* University of Miami
* University of Michigan
* University of Milano
* University of Minnesota
* University of Modena and Reggio Emilia
* University of Muenster
* University of Nevada, Las Vegas
* University of Nevada, Reno
* University of New South Wales
* University of North Carolina at Charlotte
* University of North Carolina
* University of Notre Dame
* University of Nottingham
* University of of Bath
* University of of Birmingham
* University of Otago
* University of Ottawa
* University of Oulu Face Video Database, The
* University of Oulu Physics-Based Face Database, The
* University of Oulu
* University of Oxford video retrieval system
* University of Pacific
* University of Paderborn
* University of Paris 13
* University of Parma
* University of Pavia
* University of Pennsylvania
* University of Pisa
* University of Plymouth
* University of Politecnica Madrid
* University of Reading
* University of Rochester
* University of Sao Paulo
* University of Saskatchewan
* University of Sheffield
* University of South Florida
* University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset, The
* University of Southampton
* University of Southern California, Computer Vision Group
* University of Southern California, Institute for Robotics and Intelligent Systems
* University of Southern California, Signal and Image Processing
* University of Southern California, Visual Processing Laboratory
* University of Stuttgart
* University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes, The
* University of Surrey
* University of Sussex
* University of Technology, Sydney
* University of Tennessee, Knoxville
* University of Texas
* University of Texas, Dallas
* University of the Balearic Islands
* University of the West of England
* University of Tokyo
* University of Toronto
* University of Tours
* University of Twente
* University of Ulster
* University of Utah
* University of Verona
* University of Virginia
* University of Warwick
* University of Washington
* University of Waterloo
* University of West Florida
* University of Western Australia
* University of Western Ontario
* University of Wisconsin
* University of Wisconsin, Eau Claire
* University of Wollongogn
* University of York
* University of Zagreb
* Université de Bourgogne
* Université du Quebec
* Université Louis Pasteur, Strasbourg
* Universum-Inspired Supervised Contrastive Learning
* Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition
* UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
* UniVS: Unified and Universal Video Segmentation with Prompts as Queries
* UniVTG: Towards Unified Video-Language Temporal Grounding
* UNK-VQA: A Dataset and a Probe Into the Abstention Ability of Multi-Modal Large Models
* Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
* Unknown-Oriented Learning for Open Set Domain Adaptation
* Unknown Aware Feature Learning for Face Forgery Detection
* Unknown aware k nearest neighbor classifier
* Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data
* Unknown Class Label Cleaning for Learning with Open-Set Noisy Labels
* Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition
* Unknown object tracking in 360-degree camera images
* Unknown presentation attack detection against rational attackers
* Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
* Unknown Radial Distortion Centers in Multiple View Geometry Problems
* Unknown Sample Discovery for Source Free Open Set Domain Adaptation
* Unknown Sample Selection and Discriminative Classifier Learning for Generalized Category Discovery
* Unknown SAR Target Identification Method Based on Feature Extraction Network and KLD-RPA Joint Discrimination
* Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
* Unknown Target Motion Compensation for Spotlight-mode Synthetic Aperture Radar Imagery
* Unlabeled data improves word prediction
* Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers
* Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro
* Unlabeled Signal Reconstruction on Product Graphs
* Unlabeling data can improve classification accuracy
* Unlabelled 3D Motion Examples Improve Cross-View Action Recognition
* Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples
* Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification
* Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection
* Unleashing Fine-Coarse Curve Perception Via Trunk-Branch Perturbation
* Unleashing Knowledge Potential of Source Hypothesis for Source-Free Domain Adaptation
* Unleashing Network Potentials for Semantic Scene Completion
* Unleashing Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification
* Unleashing Text-to-Image Diffusion Models for Visual Perception
* Unleashing the Potential of Adaptation Models via Go-getting Domain Labels
* Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
* Unleashing the Potential of Spiking Neural Networks with Dynamic Confidence
* Unleashing the Power of Connected and Automated Vehicles: A Dedicated Link Strategy for Efficient Management of Mixed Traffic
* Unleashing the Power of Generalized Iterative Closest Point for Swift and Effective Point Cloud Registration
* Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS
* Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
* Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
* Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection
* Unlicensed Taxi Identification Model Based on Big Data Analysis, An
* Unlimited-Size Diffusion Restoration
* Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
* Unlinkability of Biometric Templates Using Hierarchical Deterministic Wallets
* Unlinkable minutiae-based fuzzy vault for multiple fingerprints
* Unlinkable Signcryption Scheme for Multi-Receiver in VANETs
* UnLoc: A Unified Framework for Video Localization Tasks
* Unlocking Comparative Plant Scoring with Siamese Neural Networks and Pairwise Pseudo Labelling
* Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision
* Unlocking Potential Knowledge Hidden in Rubbing
* Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis
* Unlocking the Black Box: Concept-Based Modeling for Interpretable Affective Computing Applications
* Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion
* Unlocking the Full Potential of Small Data with Diverse Supervision
* Unlocking the Ground: Increasing the Detectability of Buried Objects by Depositing Passive Superstrates
* Unlocking the Mechanism of Devanagari Letter Identification Using Eye Tracking
* Unlocking the Potential of Data Augmentation in Contrastive Learning for Hyperspectral Image Classification
* Unlocking the Potential of Deep Learning for Migratory Waterbirds Monitoring Using Surveillance Video
* Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data
* Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation
* Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
* Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
* Unlocking the Potential of Remote Sensing in Wind Erosion Studies: A Review and Outlook for Future Directions
* Unmanned-Aerial-Vehicle Routing Problem With Mobile Charging Stations for Assisting Search and Rescue Missions in Postdisaster Scenarios
* Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
* Unmanned Aerial System Imagery, Land Data and User Needs: A Socio-Technical Assessment in Rwanda
* Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition
* Unmanned Aerial Systems-Aided Post-Flood Peak Discharge Estimation in Ephemeral Streams
* Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art
* Unmanned Aerial Systems and DSM matching for rock glacier monitoring
* Unmanned aerial systems for photogrammetry and remote sensing: A review
* Unmanned Aerial Systems in the Process of Juridical Verification of Cadastral Border
* Unmanned Aerial Vehicle-Based Estimation of Turbulent Heat Fluxes in the Sub-Surface of Urban Forests Using an Improved Semi-Empirical Triangle Method, The
* Unmanned Aerial Vehicle-Based Traffic Analysis: A Case Study for Shockwave Identification and Flow Parameters Estimation at Signalized Intersections
* Unmanned Aerial Vehicle (UAV)-Based Mapping of Acacia saligna Invasion in the Mediterranean Coast
* Unmanned Aerial Vehicle (UAV)-Based Pavement Image Stitching Without Occlusion, Crack Semantic Segmentation, and Quantification
* Unmanned Aerial Vehicle (UAV)-Based Remote Sensing for Early-Stage Detection of Ganoderma
* Unmanned Aerial Vehicle (UAV)-Based Vegetation Restoration Monitoring in Coal Waste Dumps after Reclamation
* Unmanned Aerial Vehicle (UAV) Derived Normalised Difference Vegetation Index (NDVI) and Crown Projection Area (CPA) to Detect Health Conditions of Young Oil Palm Trees for Precision Agriculture
* Unmanned Aerial Vehicle (UAV) for Detection and Prediction of Damage Caused by Potato Cyst Nematode G. pallida on Selected Potato Cultivars
* Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco
* Unmanned Aerial Vehicle (UAV) Remote Sensing in Grassland Ecosystem Monitoring: A Systematic Review
* Unmanned Aerial Vehicle (UAV) Survey-assisted 3D Mangrove Tree Modeling
* Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking, The
* Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline, The
* Unmanned Aerial Vehicle Depth Inversion to Monitor River-Mouth Bar Dynamics
* Unmanned Aerial Vehicle Derived 3d Model Evaluation Based on Icesat-2 For Ice Surface Micro-topography Analysis in East Antarctica
* Unmanned Aerial Vehicle for Remote Sensing Applications: A Review
* Unmanned Aerial Vehicle Location Routing Problem With Charging Stations for Belt Conveyor Inspection System in the Mining Industry
* Unmanned Aerial Vehicle Object Detection Based on Information-Preserving and Fine-Grained Feature Aggregation
* Unmanned Aerial Vehicle Perspective Small Target Recognition Algorithm Based on Improved YOLOv5
* Unmanned Aerial Vehicle Photogrammetry and 3d Modeling Applied To Virtual Reconstruction of An Archaeological Site in The Bronce Age
* Unmanned Aerial Vehicle Route Planning in the Presence of a Threat Environment Based on a Virtual Globe Platform
* Unmanned Aerial Vehicle Target Tracking Based on OTSCKF and Improved Coordinated Lateral Guidance Law
* Unmanned Aerial Vehicle Use For Wood Chips Pile Volume Estimation
* Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
* Unmanned Aerial Vehicles (UAVs) for Monitoring Macroalgal Biodiversity: Comparison of RGB and Multispectral Imaging Sensors for Biodiversity Assessments
* Unmanned Aerial Vehicles and the Multi Temporal Mapping Results of the Dispilio Lakeside Prehistoric Settlement
* Unmanned Aerial Vehicles for Alien Plant Species Detection and Monitoring
* Unmanned Aerial Vehicles for Debris Survey in Coastal Areas: Long-Term Monitoring Programme to Study Spatial and Temporal Accumulation of the Dynamics of Beached Marine Litter
* Unmanned Aerial Vehicles for Search and Rescue: A Survey
* Unmanned Aerial Vehicles in Geomatics
* Unmanned aerial vehicles object detection based on image haze removal under sea fog conditions
* Unmanned Aerial Vehicles Produce High-Resolution, Seasonally-Relevant Imagery for Classifying Wetland Vegetation
* Unmanned Airborne Bistatic Interferometric Synthetic Aperture Radar Data Processing Method Using Bi-Directional Synchronization Chain Signals
* Unmanned Aircraft System (UAS) Structure-From-Motion (SfM) for Monitoring the Changed Flow Paths and Wetness in Minerotrophic Peatland Restoration
* Unmanned Aircraft System Aided Adaptive Video Streaming: A Joint Optimization Approach
* Unmanned Aircraft System Airspace Structure and Safety Measures Based on Spatial Digital Twins
* Unmanned Aircraft System Applications in Damage Detection and Service Life Prediction for Bridges: A Review
* Unmanned Aircraft System to Detect a Radiological Point Source Using RIMA Software Architecture, An
* Unmanned Aircraft Systems for Rapid Near Surface Geophysical Measurements
* Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use
* Unmanned Airship Thermal Infrared Remote Sensing System for Low-Altitude and High Spatial Resolution Monitoring of Urban Thermal Environments: Integration and an Experiment, An
* Unmanned Drones are Flying High in the Military/Aerospace Sector
* Unmanned Era: A Service Response Framework in Smart City
* Unmanned Ground Vehicle Platooning Under Cyber Attacks: A Human-Robot Interaction Framework
* Unmanned Lighter-Than-Air Platform for Large Scale Land Monitoring, An
* Unmanned vehicle control system and method
* Unmanned vehicle running system
* Unmanned Vehicles Come of Age: The DARPA Grand Challenge
* Unmasked Teacher: Towards Training-Efficient Video Foundation Models
* Unmasking Anomalies in Road-Scene Segmentation
* Unmasking pancreatic cancer: Advanced biomedical imaging for its detection in native versus arterial dual-energy computed tomography (DECT) scans
* Unmasking the Abnormal Events in Video
* Unmasking Your Expression: Expression-Conditioned GAN for Masked Face Inpainting
* Unmatched Preconditioning of the Proximal Gradient Algorithm
* Unmixing-Based Bayesian Model for Spatio-Temporal Satellite Image Fusion in Heterogeneous Landscapes, An
* Unmixing-based Denoising As A Pre-processing Step for Coral Reef Analysis
* Unmixing-Based Multi-Attention GAN for Unsupervised Hyperspectral and Multispectral Image Fusion, An
* Unmixing-Based Multisensor Multiresolution Image Fusion
* Unmixing-based radiometric and spectral harmonization for consistency of multi-sensor reflectance time-series data
* Unmixing-based Sentinel-2 downscaling for urban land cover mapping
* Unmixing-Guided Convolutional Transformer for Spectral Reconstruction
* Unmixing approach for hyperspectral data resolution enhancement using high resolution multispectral image
* Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-Based Hyperspectral Image Synthesis
* Unmixing Component Analysis for Anomaly Detection in Hyperspectral Imagery
* Unmixing Convolutional Features for Crisp Edge Detection
* Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
* Unmixing Dynamic Fluorescence Diffuse Optical Tomography Images With Independent Component Analysis
* Unmixing functional magnetic resonance imaging data using matrix factorization
* Unmixing Guided Unsupervised Network for RGB Spectral Super-Resolution
* Unmixing K-Gaussians With Application to Hyperspectral Imaging
* Unmixing Molecular Agents From Absorbing Tissue in Multispectral Optoacoustic Tomography
* Unmixing Polarimetric Radar Images Based on Land Cover Type Identified by Higher Resolution Optical Data Before Target Decomposition: Application to Forest and Bare Soil
* Unmixing three types of lung sounds by convex optimization
* Unmixing Tissues: Sparse Component Analysis in Multi-Contrast MRI
* Unnatural L0 Sparse Representation for Natural Image Deblurring
* UnO: Unsupervised Occupancy Fields for Perception and Forecasting
* Unobtrusive and pervasive video-based eye-gaze tracking
* Unobtrusive Driver Drowsiness Prediction Using Driving Behavior from Vehicular Sensors
* Unobtrusive Fall Detection at Home Using Kinect Sensor
* Unobtrusive Inference of Affective States in Virtual Rehabilitation from Upper Limb Motions: A Feasibility Study
* Unobtrusive Measurement Method for Assessing Physiological Response in Physical Human-Robot Interaction, An
* Unobtrusive Measurement of Physiological Features Under Simulated and Real Driving Conditions
* Unobtrusive multi-modal biometric recognition using activity-related signatures
* Unoccupied Aircraft Systems (UASs) Reveal the Morphological Changes at Stromboli Volcano (Italy) before, between, and after the 3 July and 28 August 2019 Paroxysmal Eruptions
* Unordered Image Stitching Method Based on Binary Tree and Estimated Overlapping Area, An
* unorthodox approach towards shape from focus, An
* UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos
* UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking
* Unpacking the Gap Box Against Data-Free Knowledge Distillation
* Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition
* Unpaired Cartoon Image Synthesis via Gated Cycle Mapping
* Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation
* Unpaired Cross-Spectral Pedestrian Detection Via Adversarial Feature Learning
* Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning
* Unpaired Deep Image Deraining Using Dual Contrastive Learning
* Unpaired Face Restoration via Learnable Cross-Quality Shift
* Unpaired Faces to Cartoons: Improving XGAN
* Unpaired Image-To-Image Shape Translation Across Fashion Data
* Unpaired Image-to-Image Translation from Shared Deep Space
* Unpaired Image-to-image Translation Using Adversarial Consistency Loss
* Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
* Unpaired Image-to-Image Translation Using Negative Learning for Noisy Patches
* Unpaired Image-to-Image Translation via Latent Energy Transport
* Unpaired Image-to-Image Translation with Shortest Path Regularization
* Unpaired Image-to-Speech Synthesis With Multimodal Information Bottleneck
* Unpaired Image Captioning by Image-Level Weakly-Supervised Visual Concept Recognition
* Unpaired Image Captioning by Language Pivoting
* Unpaired Image Captioning via Scene Graph Alignments
* Unpaired Image Captioning With semantic-Constrained Self-Learning
* Unpaired Image Dehazing With Physical-Guided Restoration and Depth-Guided Refinement
* Unpaired Image Denoising
* Unpaired Image Super-Resolution Using a Lightweight Invertible Neural Network
* Unpaired Image Super-Resolution Using Pseudo-Supervision
* Unpaired Image Translation via Vector Symbolic Architectures
* Unpaired Learning for Deep Image Deraining with Rain Direction Regularizer
* Unpaired Learning for High Dynamic Range Image Tone Mapping
* Unpaired Learning of Deep Image Denoising
* Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation
* Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
* Unpaired Multi-Modal Segmentation via Knowledge Distillation
* Unpaired Multimodal Facial Expression Recognition
* Unpaired Night-To-Day Translation: Image Restoration and Style Transfer Under Low Illumination
* Unpaired Person Image Generation With Semantic Parsing Transformation
* Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping
* Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration
* Unpaired Remote Sensing Image Dehazing Using Enhanced Skip Attention-Based Generative Adversarial Networks with Rotation Invariance
* Unpaired Remote Sensing Image Super-Resolution with Multi-Stage Aggregation Networks
* Unpaired sonar image denoising with simultaneous contrastive learning
* Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition
* Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks
* Unpaired Thermal Infrared Image Translation Method Using GMA-CycleGAN, An
* Unpaired Thermal to Visible Spectrum Transfer Using Adversarial Training
* Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution
* Unpiloted Aerial System (UAS)-Supported Biogeomorphic Analysis of Restored Sierra Nevada Montane Meadows
* Unplanned Natural Experiments: The Case of Remote Sensing of Primary Production and Its Environmental Correlations in the Negev
* Unpowered Sensorimotor-Enhancing Suit Reduces Muscle Activation and Improves Force Perception
* Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis
* Unpriortized Autoencoder For Image Generation
* Unprocessing Images for Learned Raw Denoising
* Unprotected Left-Turn Behavior Model Capturing Path Variations at Intersections
* Unquantized resolution conversion of bitmap images using error diffusion
* Unranked tree languages
* Unraveling a Decade: A Comprehensive Survey on Isolated Sign Language Recognition
* Unraveling Human Perception of Facial Aging Using Eye Gaze
* Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
* Unraveling Latent Transfer Patterns Between Metro and Bus From Large-Scale Smart Card Data
* Unraveling ML Models of Emotion With NOVA: Multi-Level Explainable AI for Non-Experts
* Unraveling Segmentation Quality of Remotely Sensed Images on Plastic-Covered Greenhouses: A Rigorous Experimental Analysis from Supervised Evaluation Metrics
* Unraveling Spatial and Temporal Heterogeneities of Very Slow Rock-Slope Deformations with Targeted DInSAR Analyses
* Unraveling the Impacts of River Network Connectivity on Ecological Quality Dynamics at a Basin Scale
* Unraveling the Influence of Equatorial Waves on Post-Monsoon Sea Surface Salinity Anomalies in the Bay of Bengal
* Unraveling the Morphological Constraints on Roman Gold Mining Hydraulic Infrastructure in NW Spain. A UAV-Derived Photogrammetric and Multispectral Approach
* Unraveling the Platoon Dynamics of Connected Automated Vehicles With Information Errors
* Unraveling the Spatio-Temporal Relationship between Ecosystem Services and Socioeconomic Development in Dabie Mountain Area over the Last 10 years
* Unraveling Travelling Salesman Problem by genetic algorithm using m-crossover operator
* Unravelling Eastern Pacific and Central Pacific ENSO Contributions in South Pacific Chlorophyll-a Variability through Remote Sensing
* Unravelling long-term vegetation change patterns in a binational watershed using multitemporal land cover data and historical photography
* Unravelling Robustness of Deep Face Recognition Networks Against Illicit Drug Abuse Images
* Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
* Unravelling the Impact of Temporal and Geographical Locality in Content Caching Systems
* Unravelling the Relationship Between Microseisms and Spatial Distribution of Sea Wave Height by Statistical and Machine Learning Approaches
* UnrealCV: Connecting Computer Vision to Unreal Engine
* UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture
* UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
* UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision
* Unreasonable Effectiveness of CLIP Features for Image Captioning: An Experimental Analysis, The
* Unreasonable Effectiveness of Deep Features as a Perceptual Metric, The
* Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation, The
* Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition, The
* Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement, The
* Unreasonable Effectiveness of Texture Transfer for Single Image Super-Resolution, The
* Unreasonable Effectiveness of the Final Batch Normalization Layer, The
* Unrecorded Tundra Fires in Canada, 1986-2022
* Unreeling Xunlei Kankan: Understanding Hybrid CDN-P2P Video-on-Demand Streaming
* Unreliability-aware Disentangling for Cross-domain Semi-supervised Pedestrian Detection
* Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection
* Unrest at Domuyo Volcano, Argentina, Detected by Geophysical and Geodetic Data and Morphometric Analysis
* Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries
* Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
* Unrestricted LR detection for biomedical applications using coarse-to-fine hierarchical approach
* Unrestricted pose-invariant face recognition by sparse dictionary matrix
* Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee, An
* Unrolled iPPG: Video Heart Rate Estimation via Unrolling Proximal Gradient Descent
* Unrolled Memory Inner-Products: An Abstract GPU Operator for Efficient Vision-Related Computations
* Unrolled Network for Light Field Display
* Unrolled Projected Gradient Algorithm for Stain Separation in Digital Histopathological Images
* Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution
* Unrolling Graph Total Variation for Light Field Image Denoising
* Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks
* Unrolling the Shutter: CNN to Correct Motion Distortions
* Unsafe Maneuver Classification From Dashcam Video and GPS/IMU Sensors Using Spatio-Temporal Attention Selector
* UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
* UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
* Unscented feature tracking
* Unscented Kalman Filter-Based Unbiased Minimum-Variance Estimation for Nonlinear Systems With Unknown Inputs
* Unscented Kalman Filter for Image Estimation in Film-Grain Noise
* Unscented Kalman filter for visual curve tracking
* Unscented Kalman Filter With General Complex-Valued Signals
* Unscented Kalman Filtering for Articulated Human Tracking
* Unscented Kalman Filtering on Riemannian Manifolds
* Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data
* Unscented transformation for depth from motion-blur in videos
* Unscented von Mises: Fisher Filtering
* Unscreening of stored digital halftone images
* Unscreening using a hybrid filtering approach
* Unseen and Adverse Outdoor Scenes Recognition Through Event-based Captions
* Unseen Appliances Identification
* Unseen Challenge data sets, The
* Unseen Classes at a Later Time? No Problem
* Unseen Face Presentation Attack Detection Using Sparse Multiple Kernel Fisher Null-Space
* Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks
* Unseen Object Segmentation in Videos via Transferable Representations
* Unseen Visible Watermarking
* Unseen) event recognition via semantic compositionality
* Unseen: An Investigative Analysis of Thematic and Spatial Coverage of News on the Ongoing Refugee Crisis in West Africa, The
* Unsegment Anything by Simulating Deformation
* Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild
* Unsharp Mask Guided Filtering
* Unsharp masking and related image enhancement techniques
* Unsharp Masking Sharpening Detection via Overshoot Artifacts Analysis
* Unsharp masking using quadratic filter for the enhancement of fingerprints in noisy background
* Unsharp Structure Guided Filtering for Self-Supervised Low-Dose CT Imaging
* Unshuffling Data for Improved Generalization in Visual Question Answering
* Unsigned Manhattan chain code
* Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes
* Unsolved Problems in Optical Flow and Stereo Estimation
* UNSPAT: Uncertainty-Guided SpatioTemporal Transformer for 3D Human Pose and Shape Estimation on Videos
* Unsteady camera zoom stabilization using slope estimation over interest warping vectors
* Unsteady Flow Field Prediction: Understanding the Dynamics in an Intuitive Physics Way
* Unstructured Feature Decoupling for Vehicle Re-identification
* Unstructured Light Scanning Robust to Indirect Illumination and Depth Discontinuities
* Unstructured light scanning to overcome interreflections
* Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation
* Unstructured Object Matching using Co-Salient Region Segmentation
* Unstructured Point Cloud Matching within Graph-Theoretic and Thermodynamic Frameworks
* Unstructured road detection via combining the model-based and feature-based methods
* Unstructured Road Segmentation Based on Road Boundary Enhancement Point-Cylinder Network Using LiDAR Sensor
* UnstructuredFusion: Realtime 4D Geometry and Texture Reconstruction Using Commercial RGBD Cameras
* Unsupervised-Restricted Deconvolutional Neural Network for Very High Resolution Remote-Sensing Image Classification
* Unsupervised (parameter) learning for MRFs on bipartite graphs
* Unsupervised 2D gel electrophoresis image segmentation based on active contours
* unsupervised 2D point-set registration algorithm for unlabeled feature points: Application to fingerprint matching, An
* Unsupervised 3D Animal Canonical Pose Estimation with Geometric Self-Supervision
* Unsupervised 3D Human Pose Estimation in Multi-view-multi-pose Video
* Unsupervised 3d Human Pose Representation with Viewpoint and Pose Disentanglement
* Unsupervised 3D Keypoint Discovery with Multi-View Geometry
* Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine
* Unsupervised 3D object recognition and reconstruction in unordered datasets
* Unsupervised 3D Object Segmentation of Point Clouds by Geometry Consistency
* Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving
* Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving
* Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition *
* Unsupervised 3D Pose Estimation With Geometric Self-Supervision
* Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling
* Unsupervised 3D Pose Transfer With Cross Consistency and Dual Reconstruction
* Unsupervised 3D Reconstruction and Grouping of Rigid and Non-Rigid Categories
* Unsupervised 3D Reconstruction Networks
* Unsupervised 3D Shape Completion through GAN Inversion
* Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy
* Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
* Unsupervised 3d Shape Representation Learning Using Normalizing Flow
* Unsupervised 3D Skeleton-Based Action Recognition using Cross-Attention with Conditioned Generation Capabilities
* Unsupervised 3D Structure Inference from Category-Specific Image Collections
* Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series
* Unsupervised Abnormal Behavior Detection for Real-Time Surveillance Using Observed History
* Unsupervised abnormal crowd activity detection in surveillance systems
* Unsupervised Abnormal Crowd Activity Detection Using Semiparametric Scan Statistic
* Unsupervised Abstract Reasoning for Raven's Problem Matrices
* Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples
* Unsupervised Action Classification Using Space-Time Link Analysis
* Unsupervised Action Discovery and Localization in Videos
* Unsupervised action proposal ranking through proposal recombination
* Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
* Unsupervised active contours driven by density distance and local fitting energy with applications to medical image segmentation
* Unsupervised active regions for multiresolution image segmentation
* Unsupervised Active Visual Search With Monte Carlo Planning Under Uncertain Detections
* Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems
* Unsupervised Activity Extraction on Long-Term Video Recordings Employing Soft Computing Relations
* Unsupervised Activity Perception by Hierarchical Bayesian Models
* Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models
* Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations
* Unsupervised Adaptation for Deep Stereo
* Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition
* Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution
* Unsupervised Adaptation Learning for Real Multiplatform Hyperspectral Image Denoising
* Unsupervised Adaptation of a Person-Specific Manifold of Facial Expressions
* Unsupervised Adaptive Feature Selection With Binary Hashing
* Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks
* Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks
* Unsupervised Adversarial Domain Adaptation for Agricultural Land Extraction of Remote Sensing Images
* Unsupervised Adversarial Domain Adaptation with Error-Correcting Boundaries and Feature Adaption Metric for Remote-Sensing Scene Classification
* Unsupervised Adversarial Instance-Level Image Retrieval
* Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images
* Unsupervised Affinity Propagation Clustering Based Clutter Suppression and Target Detection Algorithm for Non-Side-Looking Airborne Radar
* Unsupervised Algorithm for Anchor Shot Detection, An
* Unsupervised Algorithm for the Segmentation of Three-dimensional Magnetic Resonance Brain Images
* Unsupervised Alignment of Image Manifolds with Centrality Measures
* Unsupervised Alignment of News Video and Text Using Visual Patterns and Textual Concepts
* Unsupervised Amplitude and Texture Classification of SAR Images With Multinomial Latent Model
* Unsupervised analysis of activity sequences using event-motifs
* Unsupervised and Accurate Extraction of Primitive Unit Cells from Crystal Images
* Unsupervised and adaptive Gaussian skin-color model
* Unsupervised and Adaptive Perimeter Intrusion Detector
* Unsupervised and Model-Free News Video Segmentation
* Unsupervised and Non-Parametric Bayesian Classifier, An
* unsupervised and non-parametric Bayesian Image segmentation, An
* Unsupervised and optimized thermal image quality enhancement and visual surveillance applications
* Unsupervised and reliable image matting based on modified spectral matting
* Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition
* Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics
* Unsupervised and Semi-Supervised Domain Adaptation for Action Recognition from Drones
* Unsupervised and Semi-Supervised Image Classification With Weak Semantic Consistency
* Unsupervised and semi-supervised learning via l1-norm graph
* Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation
* Unsupervised and simultaneous training of multiple object detectors from unlabeled surveillance video
* Unsupervised and supervised approaches to color space transformation for image coding
* Unsupervised and supervised classifications by rival penalized competitive learning
* Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers
* Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines
* Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling
* Unsupervised Anomaly Detection from Time-of-Flight Depth Images
* Unsupervised Anomaly Detection of the First Person in Gait from an Egocentric Camera
* Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior
* Unsupervised anomaly detection via dual transformation-aware embeddings
* Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers
* Unsupervised Anomaly Detection with Self-Training and Knowledge Distillation
* Unsupervised Anomaly Localization Using Locally Adaptive Query-Dependent Scores
* Unsupervised Approach Based on the Generalized Gaussian Model to Automatic Change Detection in Multitemporal SAR Images, An
* Unsupervised approach for building non-parametric background and foreground models of scenes with significant foreground activity
* Unsupervised Approach for Eye Sclera Segmentation, An
* Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data, An
* Unsupervised approach for object matching using Speeded Up Robust Features
* Unsupervised Approach for Segmentation and Clustering of Soccer Players, An
* unsupervised approach for traffic motion patterns extraction, An
* Unsupervised Approach for Video Text Localization, An
* unsupervised approach of colonic polyp segmentation using adaptive markov random fields, An
* unsupervised approach to automatic object extraction from a maritime video scene, An
* unsupervised approach to feature discretization and selection, An
* Unsupervised Approach towards Varying Human Skin Tone Using Generative Adversarial Networks, An
* Unsupervised approximate-semantic vocabulary learning for human action and video classification
* Unsupervised Approximation of Digital Planar Curves
* unsupervised artifact correction approach for the analysis of DNA microarray images, An
* Unsupervised Artificial Immune Classifier for Multi/Hyperspectral Remote Sensing Imagery, An
* Unsupervised Assessment of Subcutaneous and Visceral Fat by MRI
* Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment
* Unsupervised Atmospheric Compensation of Airborne Hyperspectral Images in the VNIR Spectral Range
* Unsupervised Attention Based Instance Discriminative Learning for Person Re-Identification
* Unsupervised Audio-Visual Lecture Segmentation
* Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction
* Unsupervised automatic attribute discovery method via multi-graph clustering
* Unsupervised Automatic Building Extraction Using Active Contour Model On Unregistered Optical Imagery and Airborne Lidar Data
* Unsupervised Automatic Defect Inspection based on Image Matching and Local One-class Classification
* Unsupervised auxiliary visual words discovery for large-scale image object retrieval
* Unsupervised Band Selection Based on Evolutionary Multiobjective Optimization for Hyperspectral Images
* Unsupervised Band Selection Based on Group-Based Sparse Representation
* Unsupervised band selection for multispectral images using information theory
* Unsupervised Band Selection Method Based on Overall Accuracy Prediction, An
* Unsupervised Band Selection Method via Contrastive Learning for Hyperspectral Images, An
* Unsupervised Batch Normalization
* Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations
* unsupervised Bayes classifier for normal patterns based on marginal densities analysis, An
* Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function
* Unsupervised Bayesian Detection of Independent Motion in Crowds
* Unsupervised Bayesian Estimation for Segmenting Textured Images
* Unsupervised Bayesian image segmentation using orthogonal series
* Unsupervised Bayesian Image Segmentation Using Wavelet-Domain Hidden Markov Models
* Unsupervised Bayesian Model-Learning with Application to Textured and Polynomial Image Segmentation
* Unsupervised Behavior-Specific Dictionary Learning for Abnormal Event Detection
* Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
* Unsupervised Bidirectional Style Transfer Network using Local Feature Transform Module
* Unsupervised Binary Representation Learning with Deep Variational Networks
* Unsupervised Blind Image Deblurring Based on Self-Enhancement
* Unsupervised Blind Image Quality Assessment Based on Joint Structure and Natural Scene Statistics Features
* Unsupervised Blind Image Quality Evaluation via Statistical Measurements of Structure, Naturalness, and Perception
* Unsupervised Block Covering Analysis for Text-Line Segmentation of Arabic Ancient Handwritten Document Images
* Unsupervised Brain Segmentation System Using K-Means and Neural Network
* Unsupervised Building Damage Identification Using Post-Event Optical Imagery and Variational Autoencoder
* Unsupervised Building Extraction from Multimodal Aerial Data Based on Accurate Vegetation Removal and Image Feature Consistency Constraint
* Unsupervised Building Instance Segmentation of Airborne LiDAR Point Clouds for Parallel Reconstruction Analysis
* Unsupervised Camouflaged Object Segmentation as Domain Adaptation
* Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping, An
* Unsupervised Caries Detection in Non-standardized Bitewing Dental X-Rays
* Unsupervised Caries Detection in Non-standardized Periapical Dental X-Rays
* Unsupervised Cascade Fusion Network for Radiometrically-Accurate Vis-NIR-SWIR Hyperspectral Sharpening, An
* Unsupervised categorical shape reconstruction through manifolds
* Unsupervised categorization of heterogeneous text images based on fractals
* Unsupervised Category Discovery in Images Using Sparse Neural Coding
* Unsupervised Category Modeling, Recognition, and Segmentation in Images
* Unsupervised Celebrity Face Naming in Web Videos
* Unsupervised Cell Nuclei Segmentation Based on Morphology and Adaptive Active Contour Modelling
* Unsupervised cell nucleus segmentation with active contours
* Unsupervised Change Detection and Recognition System for Forestry, An
* Unsupervised Change Detection around Subways Based on SAR Combined Difference Images
* Unsupervised Change Detection Based on a Unified Framework for Weighted Collaborative Representation With RDDL and Fuzzy Clustering
* Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery
* Unsupervised Change Detection Based on Image Reconstruction Loss
* Unsupervised Change Detection Based on Test Statistic and KI from Multi-Temporal and Full Polarimetric SAR Images, An
* Unsupervised change detection between SAR images based on hypergraphs
* Unsupervised Change Detection for Multispectral Remote Sensing Images Using Random Walks
* Unsupervised Change Detection for Satellite Images Using Dual-Tree Complex Wavelet Transform
* Unsupervised Change Detection for VHR Remote Sensing Images Based on Temporal-Spatial-Structural Graphs
* Unsupervised Change Detection From Multichannel SAR Data by Markovian Data Fusion
* Unsupervised Change Detection from Remotely Sensed Images Based on Multi-Scale Visual Saliency Coarse-to-Fine Fusion
* Unsupervised Change Detection in HR Remote Sensing Imagery Based on Local Histogram Similarity and Progressive Otsu
* Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods
* Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
* Unsupervised change detection in satellite images using fuzzy c-means clustering and principal component analysis
* Unsupervised Change Detection in Satellite Images With Generative Adversarial Network
* Unsupervised Change Detection in Wide-Field Video Images Under Low Illumination
* Unsupervised change detection method in SAR images based on deep belief network using an improved fuzzy C-means clustering algorithm
* Unsupervised change detection of remote sensing images using superpixel segmentation and variational Gaussian mixture model
* Unsupervised Change Detection of Satellite Images Using Local Gradual Descent
* Unsupervised Change Detection on SAR images using a New Fractal-Based Measure
* Unsupervised Change Detection on SAR Images Using Fuzzy Hidden Markov Chains
* Unsupervised Change Detection Using Fast Fuzzy Clustering for Landslide Mapping from Very High-Resolution Images
* Unsupervised Change Detection Using Fuzzy Topology-Based Majority Voting
* Unsupervised Change Detection Using Spectrum-Trend and Shape Similarity Measure
* Unsupervised Characterization of Water Composition with UAV-Based Hyperspectral Imaging and Generative Topographic Mapping
* Unsupervised Class-Specific Deblurring
* Unsupervised class-to-class translation for domain variations
* Unsupervised Classemes
* Unsupervised classification algorithm based on EM method for polarimetric SAR images
* Unsupervised Classification Algorithm for Early Weed Detection in Row-Crops by Combining Spatial and Spectral Information
* Unsupervised Classification Algorithm for Multi-Temporal Irrigated Area Mapping in Central Asia, An
* Unsupervised Classification and Part Localization by Consistency Amplification
* Unsupervised Classification Approach for Polarimetric SAR Data Based on the Chernoff Distance for Complex Wishart Distribution, An
* Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm
* Unsupervised Classification of Acoustic Echoes from Two Krill Species in the Southern Ocean (Ross Sea)
* Unsupervised Classification of Crop Growth Stages with Scattering Parameters from Dual-Pol Sentinel-1 SAR Data
* Unsupervised classification of extreme facial events using active appearance models tracking for sign language videos
* Unsupervised classification of hyperspectral images by using linear unmixing algorithm
* Unsupervised Classification of Multilook Polarimetric SAR Data Using Spatially Variant Wishart Mixture Model with Double Constraints
* Unsupervised Classification of Multispectral Images Embedded With a Segmentation of Panchromatic Images Using Localized Clusters
* Unsupervised Classification of Polarimetric SAR Images via Riemannian Sparse Coding
* Unsupervised classification of polarimetric SAR images via SVGp0MM with extended variational inference
* Unsupervised Classification of Polarimetric Synthetic Aperture Radar Images Using Fuzzy Clustering and EM Clustering
* Unsupervised Classification of Raw Full-Waveform Airborne Lidar Data by Self Organizing Maps
* Unsupervised Classification of Riverbed Types for Bathymetry Mapping in Shallow Rivers Using UAV-Based Hyperspectral Imagery
* Unsupervised classification of SAR imagery using polarimetric decomposition to preserve scattering characteristics
* Unsupervised Classification of Satellite Imagery: Choosing a Good Algorithm
* Unsupervised Classification of Scattering Mechanisms in Polarimetric SAR Data Using Fuzzy Logic in Entropy and Alpha Plane
* Unsupervised Classification of Structurally Similar Document Images
* Unsupervised Classification of Synthetic Aperture Radar Imagery Using a Bootstrap Version of the Generalized Mixture Expectation Maximization Algorithm
* Unsupervised Classification Using Polarimetric Decomposition and the Complex Wishart Classifier
* Unsupervised Classification Using Spatial Region Growing Segmentation and Fuzzy Training
* Unsupervised Clothing Change Adaptive Person ReID
* Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in 18F-FDG-PET images
* Unsupervised Cluster-Based VANET-Oriented Evolving Graph (CVoEG) Model and Associated Reliable Routing Scheme, An
* Unsupervised Cluster-Wise Hyperspectral Band Selection for Classification
* Unsupervised Clustering Algorithm for Video Shots Using Spectral Division
* Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion
* Unsupervised Clustering and Optimal Clusters for Segmentation
* Unsupervised clustering for google searches of celebrity images
* Unsupervised Clustering Guided Semantic Segmentation
* Unsupervised Clustering in Hough Space for Identification of Partially Occluded Objects
* Unsupervised clustering in Hough space for recognition of multiple instances of the same object in a cluttered scene
* Unsupervised Clustering Method for Complexity Reduction of Terrestrial Lidar Data in Marshes
* Unsupervised Clustering Method Using the Entropy Minimization, An
* Unsupervised Clustering Method with Optimal Estimation of the Number of Clusters: Application to Image Segmentation
* Unsupervised Clustering of Depth Images Using Watson Mixture Model
* Unsupervised clustering of dominant scenes in sports video
* Unsupervised Clustering of Human Pose Using Spectral Embedding
* Unsupervised clustering of mammograms for outlier detection and breast density estimation
* Unsupervised Clustering of Multi-Perspective 3D Point Cloud Data in Marshes: A Case Study
* Unsupervised clustering of text entities in heterogeneous grey level documents
* Unsupervised clustering on dynamic databases
* Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model
* Unsupervised clustering using hyperclique pattern constraints
* Unsupervised Clustering using Multi-Resolution Perceptual Grouping
* Unsupervised Clustering, Classification, Unsupervised Learning
* Unsupervised CNN-Based Co-saliency Detection with Graphical Optimization
* Unsupervised CNN-Based Pansharpening Framework with Spectral-Spatial Fidelity Balance, An
* Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
* Unsupervised Co-generation of Foreground-Background Segmentation from Text-to-Image Synthesis
* Unsupervised co-segmentation based on a new global GMM constraint in MRF
* Unsupervised Co-Segmentation for Athlete Movements and Live Commentaries Using Crossmodal Temporal Proximity
* Unsupervised Co-Segmentation for Indefinite Number of Common Foreground Objects
* Unsupervised co-segmentation through region matching
* Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM
* Unsupervised Color-Based Flood Segmentation in UAV Imagery
* Unsupervised color-texture segmentation based on soft criterion with adaptive mean-shift clustering
* Unsupervised Color-Texture Segmentation
* Unsupervised color classifier training for soccer player detection
* Unsupervised Color Image Segmentation Algorithm for Face Detection Applications, An
* Unsupervised Color Image Segmentation for Content-Based Application
* Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
* Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation
* Unsupervised colour image segmentation applied to printing quality assessment
* Unsupervised colour image segmentation using dual-tree complex wavelet transform
* Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
* Unsupervised Compound Domain Adaptation for Face Anti-Spoofing
* Unsupervised Conditional Disentangle Network For Image Dehazing
* Unsupervised Confidence Approximation: Trustworthy Learning from Noisy Labelled Data
* Unsupervised constellation model learning algorithm based on voting weight control for accurate face localization
* Unsupervised Construction of an Indoor Floor Plan Using a Smartphone
* Unsupervised context estimation in a mesh of pattern classes for image recognition
* Unsupervised Continual Learning for Gradually Varying Domains
* Unsupervised Continual Semantic Adaptation Through Neural Rendering
* Unsupervised Contour Closure Algorithm for Range Image Edge-Based Segmentation
* Unsupervised contour estimation
* Unsupervised Contour Representation and Estimation Using B-Splines and a Minimum Description Length Criterion
* Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
* Unsupervised Contrastive Cross-Modal Hashing
* Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
* Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images
* Unsupervised convolutional neural networks for large-scale image clustering
* Unsupervised convolutional neural networks for motion estimation
* Unsupervised Coordinate-Based Video Denoising
* Unsupervised Correlation Analysis
* Unsupervised cosegmentation based on global clustering and saliency
* Unsupervised Creation of Parameterized Avatars
* Unsupervised Crop Classification Method Based on Principal Components Isometric Binning, An
* Unsupervised Cross-Corpus Speech Emotion Recognition Using a Multi-Source Cycle-GAN
* Unsupervised Cross-Database Micro-Expression Recognition Using Target-Adapted Least-Squares Regression
* Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion
* Unsupervised Cross-Dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns
* Unsupervised Cross-Dataset Transfer Learning for Person Re-identification
* Unsupervised Cross-Domain Person Re-Identification by Instance and Distribution Alignment
* Unsupervised cross-domain person re-identification with self-attention and joint-flexible optimization
* Unsupervised Cross-Domain Person Re-Identification: A New Framework
* Unsupervised Cross-Media Graph Convolutional Network for 2D Image-Based 3D Model Retrieval
* Unsupervised Cross-Media Retrieval Using Domain Adaptation With Scene Graph
* Unsupervised Cross-modal Alignment for Multi-person 3d Pose Estimation
* Unsupervised Cross-Modal Deep-Model Adaptation for Audio-Visual Re-identification with Wearable Cameras
* Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing, An
* Unsupervised Cross-Modal Hashing With Modality-Interaction
* Unsupervised Cross-Modal Synthesis of Subject-Specific Scans
* Unsupervised Cross-Modality Adaptation via Dual Structural-Oriented Guidance for 3D Medical Image Segmentation
* Unsupervised Cross-Spectrum Depth Estimation by Visible-Light and Thermal Cameras
* Unsupervised Cross-Temporal Classification of Hyperspectral Images With Multiple Geodesic Flow Kernel Learning
* Unsupervised Cross-View Facial Expression Image Generation and Recognition
* Unsupervised Cross Domain Person Re-Identification by Multi-Loss Optimization Learning
* Unsupervised Crowd Counting
* Unsupervised Cryo-EM Images Denoising and Clustering Based on Deep Convolutional Autoencoder and K-Means++
* Unsupervised CT Metal Artifact Learning Using Attention-Guided ß-CycleGAN
* Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
* Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
* Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment
* Unsupervised Custering of Shapes
* Unsupervised cyber bullying detection in social networks
* Unsupervised dance figure analysis from video for dancing Avatar animation
* Unsupervised data analysis for virus detection with a surface plasmon resonance sensor
* Unsupervised data association for metric learning in the context of multi-shot person re-identification
* unsupervised data projection that preserves the cluster structure, An
* Unsupervised Decomposition and Correction Network for Low-Light Image Enhancement
* Unsupervised Decomposition of Mixed Pixels Using the Maximum Entropy Principle
* Unsupervised deconvolution of satellite images
* Unsupervised Deep Asymmetric Stereo Matching with Spatially-Adaptive Self-Similarity
* Unsupervised Deep Background Matting Using Deep Matte Prior
* Unsupervised Deep Change Vector Analysis for Multiple-Change Detection in VHR Images
* Unsupervised deep clustering via contractive feature representation and focal loss
* Unsupervised deep context prediction for background estimation and foreground segmentation
* Unsupervised Deep Contrast Enhancement With Power Constraint for OLED Displays
* Unsupervised Deep Cross-modality Spectral Hashing
* Unsupervised Deep Domain Adaptation for Pedestrian Detection
* Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes
* Unsupervised Deep Event Stereo for Depth Estimation
* Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention
* Unsupervised Deep Feature Extraction for Remote Sensing Image Classification
* Unsupervised Deep Feature Learning for Remote Sensing Image Retrieval
* Unsupervised Deep Feature Transfer for Low Resolution Image Classification
* Unsupervised Deep Generative Adversarial Hashing Network
* Unsupervised deep hashing for large-scale visual search
* Unsupervised Deep Hashing With Adaptive Feature Learning for Image Retrieval
* Unsupervised Deep Hashing With Deep Semantic Distillation
* Unsupervised Deep Hashing with Dynamic Pseudo-Multi-Labels for Image Retrieval
* Unsupervised Deep Hashing With Fine-Grained Similarity-Preserving Contrastive Learning for Image Retrieval
* Unsupervised deep hashing with node representation for image retrieval
* Unsupervised Deep Hashing With Pseudo Labels for Scalable Image Retrieval
* Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization
* Unsupervised deep hashing with stacked convolutional autoencoders
* Unsupervised deep homography with multi-scale global attention
* Unsupervised Deep Image Fusion With Structure Tensor Representations
* Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
* Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images
* Unsupervised Deep K-Means Hashing for Efficient Image Retrieval and Clustering
* Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring
* Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification
* Unsupervised Deep Learning for FOD-Based Susceptibility Distortion Correction in Diffusion MRI
* Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery
* Unsupervised Deep Learning for Structured Shape Matching
* Unsupervised deep learning for text line segmentation
* Unsupervised Deep Learning Framework via Integrated Optimization of Representation Learning and GMM-Based Modeling, An
* Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective
* Unsupervised Deep Learning of Compact Binary Descriptors
* Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss
* Unsupervised Deep Multi-Shape Matching
* Unsupervised Deep Multi-Similarity Hashing With Semantic Structure for Image Retrieval
* Unsupervised Deep Networks for Temporal Localization of Human Actions in Streaming Videos
* Unsupervised Deep Noise Modeling for Hyperspectral Image Change Detection
* Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
* Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images
* Unsupervised Deep Representation Learning for Real-Time Tracking
* Unsupervised Deep Shape Descriptor With Point Distribution Learning
* Unsupervised Deep Shape from Template
* Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images
* Unsupervised Deep Tracking
* Unsupervised Deep Triplet Hashing for Image Retrieval
* Unsupervised Deep Unrolling Networks for Phase Unwrapping
* Unsupervised Deep Video Denoising
* Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval
* Unsupervised Deep Visual-Inertial Odometry with Online Error Correction for RGB-D Imagery
* Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA
* Unsupervised Degradation Representation Learning for Blind Super-Resolution
* Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN
* Unsupervised dense crowd detection by multiscale texture analysis
* Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence
* Unsupervised Dense Object Discovery, Detection, Tracking and Reconstruction
* Unsupervised Dense Shape Correspondence using Heat Kernels
* Unsupervised Depth Completion with Calibrated Backprojection Layers
* Unsupervised Depth Estimation from Light Field Using a Convolutional Neural Network
* Unsupervised depth prediction from monocular sequences: Improving performances through instance segmentation
* Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity
* Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity
* Unsupervised descriptor selection based meta-learning networks for few-shot classification
* Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization
* Unsupervised Desmoking of Laparoscopy Images Using Multi-scale Desmokenet
* Unsupervised detection and localization of structural textures using projection profiles
* Unsupervised detection and segmentation of identical objects
* Unsupervised detection and tracking of moving objects for video surveillance applications
* Unsupervised Detection for Minimizing a Region of Interest around Distinct Object in Natural Images
* Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
* Unsupervised detection of contours using a statistical model
* Unsupervised detection of contrast enhanced highlight landmarks
* Unsupervised Detection of Dynamic Hand Gestures from Leap Motion Data
* Unsupervised Detection of Gradual Video Shot Changes with Motion-Based False Alarm Removal
* Unsupervised detection of non-iris occlusions
* Unsupervised detection of nonlinearity in motion using weighted average of non-extensive entropies
* Unsupervised Detection of Periodic Segments in Videos
* Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images
* Unsupervised detection of straight lines through possibilistic clustering
* Unsupervised detection of surface defects: A two-step approach
* Unsupervised Detection of Video Sub-scenes
* Unsupervised Detection of White Matter Fiber Bundles with Stochastic Neural Networks
* Unsupervised Detector Adaptation by Joint Dataset Feature Learning
* Unsupervised dictionary learning with double-layer sparse representation
* Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images
* Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images
* Unsupervised dimensionality estimation and manifold learning in high-dimensional spaces by tensor voting
* Unsupervised Discovery of Action Classes
* Unsupervised Discovery of Activities and Their Temporal Behaviour
* Unsupervised discovery of activity correlations using latent topic models
* Unsupervised Discovery of Character Dictionaries in Animation Movies
* Unsupervised discovery of co-occurrence in sparse high dimensional data
* Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort
* Unsupervised discovery of facial events
* Unsupervised discovery of human activities from long-time videos
* Unsupervised Discovery of Mid-Level Discriminative Patches
* Unsupervised discovery of object classes in 3D outdoor scenarios
* Unsupervised Discovery of Object Landmarks as Structural Representations
* Unsupervised Discovery of Subspace Trends
* Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision
* Unsupervised discovery of visual object class hierarchies
* Unsupervised Discovery, Modeling, and Analysis of Long Term Activities
* Unsupervised Discrete Hashing With Affinity Similarity
* Unsupervised Discriminant Canonical Correlation Analysis for Feature Fusion
* Unsupervised Discriminant Projection Analysis for Feature Extraction
* Unsupervised Discriminative Deep Hashing With Locality and Globality Preservation
* Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities
* Unsupervised discriminative feature learning via finding a clustering-friendly embedding space
* Unsupervised discriminative feature selection in a kernel space via L2,1-norm minimization
* Unsupervised Discriminative Feature Selection via Contrastive Graph Learning
* Unsupervised discriminative hashing
* Unsupervised Disentanglement of Linear-Encoded Facial Semantics
* Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos
* Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
* Unsupervised Disentangling of Viewpoint and Residues Variations by Substituting Representations for Robust Face Recognition
* Unsupervised disparity estimation from light field using plug-and-play weighted warping loss
* Unsupervised Domain-Adaptive Person Re-Identification Based on Attributes
* Unsupervised Domain-Adaptive Person Re-Identification with Multi-Camera Constraints
* Unsupervised Domain-Adaptive SAR Ship Detection Based on Cross-Domain Feature Interaction and Data Contribution Balance
* Unsupervised Domain-Specific Deblurring via Disentangled Representations
* Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation
* unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes, An
* unsupervised domain adaptation approach for cross-domain visual classification, An
* Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
* Unsupervised Domain Adaptation Based Automatic COVID-19 CT Segmentation
* Unsupervised Domain Adaptation by Domain Invariant Projection
* Unsupervised Domain Adaptation by Multi-Loss Gap Minimization Learning for Person Re-Identification
* Unsupervised Domain Adaptation by regularizing Softmax Activation
* unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type mapping using Sentinel-2 imagery, An
* Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
* Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization
* Unsupervised Domain Adaptation for Depth Prediction from Images
* Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures
* Unsupervised domain adaptation for early detection of drought stress in hyperspectral images
* Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos
* Unsupervised Domain Adaptation for Gesture Identification Against Electrode Shift
* Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training
* Unsupervised Domain Adaptation for Medical Image Segmentation Using Transformer With Meta Attention
* Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment
* Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training
* Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers
* Unsupervised Domain Adaptation for Neural Machine Translation
* Unsupervised Domain Adaptation for Nighttime Aerial Tracking
* Unsupervised Domain Adaptation for Object Detection in Cultural Sites
* Unsupervised Domain Adaptation for Object Detection Using Distribution Matching in Various Feature Level
* Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box
* Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling
* Unsupervised Domain Adaptation for Person Re-Identification Via Individual-Preserving and Environmental-Switching Cyclic Generation
* Unsupervised Domain Adaptation for Person Re-Identification with Few and Unlabeled Target Data
* Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer
* Unsupervised domain adaptation for SAR target classification based on domain- and class-level alignment: From simulated to real data
* Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features
* Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images Through Generative Latent Search
* Unsupervised Domain Adaptation for Semantic Segmentation of Urban Street Scenes Reflected by Convex Mirrors
* Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training
* Unsupervised domain adaptation for semantic segmentation via cross-region alignment
* Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement
* Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning
* Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning
* Unsupervised Domain Adaptation for Video Transformers in Action Recognition
* Unsupervised Domain Adaptation for Weed Segmentation Using Greedy Pseudo-labelling
* Unsupervised Domain Adaptation for Zero-Shot Learning
* Unsupervised Domain Adaptation From Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks
* Unsupervised domain adaptation in homogeneous distance space for person re-identification
* Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis
* Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
* Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
* Unsupervised Domain Adaptation in the Wild via Disentangling Representation Learning
* Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement
* Unsupervised Domain Adaptation of MRI Skull-stripping Trained on Adult Data to Newborns
* Unsupervised Domain Adaptation of Object Detectors: A Survey
* Unsupervised domain adaptation of virtual and real worlds for pedestrian detection
* Unsupervised Domain Adaptation on End-to-End Multi-Talker Overlapped Speech Recognition
* Unsupervised Domain Adaptation Pedestrian Re-Identification Based on an Improved Dissimilarity Space
* Unsupervised Domain Adaptation Person Re-Identification by Camera-Aware Style Decoupling and Uncertainty Modeling
* unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites, An
* Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces
* Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation
* Unsupervised Domain Adaptation Using A Teacher-student Network For Cross-city Classification of Sentinel-2 Images
* Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks
* Unsupervised domain adaptation using eigenanalysis in kernel space for categorisation tasks
* Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss
* Unsupervised Domain Adaptation Using Feature Disentanglement and Gcns for Medical Image Classification
* Unsupervised Domain Adaptation Using Full-Feature Whitening and Colouring
* Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images
* Unsupervised domain adaptation using manifold alignment for object and event categorization
* Unsupervised domain adaptation using parallel transport on Grassmann manifold
* Unsupervised Domain Adaptation Using Regularized Hyper-Graph Matching
* Unsupervised Domain Adaptation Using Robust Class-Wise Matching
* Unsupervised Domain Adaptation via Class Aggregation for Text Recognition
* Unsupervised Domain Adaptation via Deep Conditional Adaptation Network
* Unsupervised Domain Adaptation via Discriminative Manifold Propagation
* Unsupervised domain adaptation via distilled discriminative clustering
* Unsupervised Domain Adaptation via Domain-Adaptive Diffusion
* Unsupervised Domain Adaptation via Importance Sampling
* Unsupervised Domain Adaptation via Regularized Conditional Alignment
* Unsupervised Domain Adaptation via Risk-Consistent Estimators
* Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
* Unsupervised Domain Adaptation with Adversarial Self-Training for Crop Classification Using Remote Sensing Images
* Unsupervised Domain Adaptation with Background Shift Mitigating for Person Re-Identification
* Unsupervised Domain Adaptation with Contrastive Learning-Based Discriminative Feature Augmentation for RS Image Classification
* Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization
* Unsupervised Domain Adaptation with Imbalanced Character Distribution for Scene Text Recognition
* Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data
* Unsupervised domain adaptation with joint supervised sparse coding and discriminative regularization term
* Unsupervised Domain Adaptation With Label and Structural Consistency
* Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training
* Unsupervised Domain Adaptation with Noise Resistible Mutual-training for Person Re-identification
* Unsupervised domain adaptation with progressive adaptation of subspaces
* Unsupervised Domain Adaptation with Regularized Domain Instance Denoising
* Unsupervised Domain Adaptation with Regularized Optimal Transport for Multimodal 2D+3D Facial Expression Recognition
* Unsupervised Domain Adaptation with Robust Deep Logistic Regression
* Unsupervised Domain Adaptation with Similarity Learning
* Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation
* Unsupervised Domain Adaptation
* Unsupervised Domain Adaption for High-Resolution Coastal Land Cover Mapping with Category-Space Constrained Adversarial Network
* Unsupervised Domain Adaption Framework for Aerial Image Semantic Segmentation Based on Curriculum Learning, An
* Unsupervised Domain Adaption Harnessing Vision-Language Pre-Training
* Unsupervised Domain Adaption with Pixel-Level Discriminator for Image-Aware Layout Generation
* Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency
* Unsupervised Domain Adaptive Detection with Network Stability Analysis
* Unsupervised Domain Adaptive Learning for Image Desnowing with Real-World Data
* Unsupervised Domain Adaptive Object Detection Using Forward-backward Cyclic Adaptation
* Unsupervised Domain Adaptive Object Detection with Class Label Shift Weighted Local Features
* Unsupervised Domain Adaptive Person Re-Identification with Adaptive Structure Learning
* Unsupervised Domain Adaptive Re-identification with Feature Adversarial Learning and Self-similarity Clustering
* Unsupervised domain adaptive re-identification: Theory and practice
* Unsupervised Domain Adaptive Semantic Segmentation Based on Clip-Guided Prototypical Contrastive Learning
* Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography
* Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition
* Unsupervised Domain Generalization by Learning a Bridge Across Domains
* Unsupervised Dual Hashing Coding (UDC) on Semantic Tagging and Sample Content for Cross-Modal Retrieval
* Unsupervised dynamic texture segmentation using local descriptors in volumes
* Unsupervised dynamic texture segmentation using local spatiotemporal descriptors
* Unsupervised Dynamic Textures Segmentation
* Unsupervised edge-preserving image restoration via a saddle point approximation
* Unsupervised edge detection and noise detection from a single image
* Unsupervised edge map scoring: A statistical complexity approach
* Unsupervised Effectiveness Estimation Through Intersection of Ranking References
* Unsupervised Embedding Learning by Noisy Similarity Label Optimization
* Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
* Unsupervised Embedding Learning with Mutual-Information Graph Convolutional Networks
* Unsupervised Encoder-decoder Model for Anomaly Prediction Task
* Unsupervised End-To-End Groupwise Registration Framework Without Generating Templates
* Unsupervised End-to-End Transformer based approach for Video Anomaly Detection
* Unsupervised endmember extraction: Application to hyperspectral images from Mars
* Unsupervised Ensemble-Kernel Principal Component Analysis for Hyperspectral Anomaly Detection
* Unsupervised Ensemble Classification With Correlated Decision Agents
* Unsupervised ensemble learning for genome sequencing
* Unsupervised Ensemble of Experts (EoE) Framework for Automatic Binarization of Document Images
* Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval
* Unsupervised estimation of left ventricular displacement from MR tagged images using Markov random field edge priors
* Unsupervised estimation of segmentation quality using nonnegative factorization
* Unsupervised Evaluation Measure of Image Segmentation: Application to Flower Image Segmentation, An
* Unsupervised evaluation method using Markov random field for moving object segmentation in infrared videos
* Unsupervised Evaluation Methods Based on Local Gray-Intensity Variances for Binarization of Historical Documents
* Unsupervised evaluation of image segmentation application to multi-spectral images
* Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion
* Unsupervised Event-Based Optical Flow Using Motion Compensation
* Unsupervised Event-Based Video Reconstruction
* Unsupervised Evolutionary Segmentation Algorithm Based on Texture Analysis
* Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration
* Unsupervised extraction of coherent regions for image based rendering
* Unsupervised Extraction of Flood-Induced Backscatter Changes in SAR Data Using Markov Image Modeling on Irregular Graphs
* Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking Loss
* Unsupervised extraction of salient region-descriptors for content based image retrieval
* Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders
* Unsupervised Extraction of Visual Attention Objects in Color Images
* Unsupervised Eyeglasses Removal in the Wild
* Unsupervised Facade Segmentation Using Repetitive Patterns
* Unsupervised face alignment by robust nonrigid mapping
* Unsupervised Face Detection in the Dark
* Unsupervised Face Domain Transfer for Low-Resolution Face Recognition
* Unsupervised face Frontalization for pose-invariant face recognition
* Unsupervised face frontalization using disentangled representation-learning CycleGAN
* Unsupervised face image deblurring via disentangled representation learning
* Unsupervised Face Manipulation via Hallucination
* Unsupervised Face Normalization With Extreme Pose and Expression in the Wild
* Unsupervised face recognition by associative chaining
* Unsupervised Face Recognition from Image Sequences Based on Clustering with Attraction and Repulsion
* Unsupervised Face Recognition from Image Sequences
* Unsupervised face recognition in the wild using high-dimensional features under super-resolution and 3D alignment effect
* Unsupervised Face Recognition using Unlabeled Synthetic Data
* Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations
* Unsupervised Fall Detection on Edge Devices
* Unsupervised Fast Visual Localization and Mapping with Slow Features
* Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders
* Unsupervised feature analysis with sparse adaptive learning
* Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models
* Unsupervised Feature Descriptors Based Facial Tracking over Distributed Geospatial Subspaces
* Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network
* Unsupervised Feature Extraction Inspired by Latent Low-Rank Representation
* Unsupervised feature extraction using a learned graph with clustering structure
* Unsupervised Feature Extraction Using Endmember Extraction and Clustering Algorithms for Dimension Reduction of Hyperspectral Images, An
* Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images
* Unsupervised Feature Extraction: A CNN-Based Approach
* Unsupervised feature learning based on sparse coding and spectral clustering for segmentation of synthetic aperture radar images
* Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
* Unsupervised Feature Learning for Aerial Scene Classification
* Unsupervised Feature Learning for Dense Correspondences Across Scenes
* Unsupervised Feature Learning for Event Data: Direct vs. Inverse Problem Formulation
* Unsupervised feature learning for illumination robustness
* Unsupervised Feature Learning for Land-Use Scene Recognition
* Unsupervised feature learning for optical character recognition
* Unsupervised Feature Learning for Point Cloud Understanding by Contrasting and Clustering Using Graph Convolutional Neural Networks
* Unsupervised Feature Learning for RGB-D Image Classification
* Unsupervised Feature Learning for Speech Using Correspondence and Siamese Networks
* Unsupervised feature learning framework for no-reference image quality assessment
* Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold
* Unsupervised feature learning using Markov deep belief network
* Unsupervised Feature Learning via Non-parametric Instance Discrimination
* Unsupervised feature learning with C-SVDDNet
* Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
* Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters
* Unsupervised Feature Propagation for Fast Video Object Detection Using Generative Adversarial Networks
* Unsupervised feature reduction in image segmentation by local Karhunen-Loeve transform
* Unsupervised Feature Reduction in Image Segmentation by Local Transforms
* Unsupervised Feature Representation Learning for Domain-generalized Cross-domain Image Retrieval
* Unsupervised Feature Selection and Category Classification for a Vision-Based Mobile Robot
* Unsupervised Feature Selection and Category Formation for Generic Object Recognition
* Unsupervised Feature Selection and Learning for Image Segmentation
* Unsupervised feature selection applied to content-based retrieval of lung images
* Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images
* Unsupervised feature selection based on spectral regression from manifold learning for facial expression recognition
* Unsupervised Feature Selection Based on Ultrametricity and Sparse Training Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data
* Unsupervised feature selection by combining subspace learning with feature self-representation
* Unsupervised Feature Selection by Graph Optimization
* Unsupervised feature selection by learning exponential weights
* Unsupervised feature selection by manifold regularized self-representation
* Unsupervised feature selection by nonnegative sparsity adaptive subspace learning
* Unsupervised feature selection by regularized self-representation
* Unsupervised feature selection by self-paced learning regularization
* Unsupervised Feature Selection Dynamic Mixture Model for Motion Segmentation, An
* Unsupervised feature selection for large data sets
* Unsupervised Feature Selection for Salient Object Detection
* Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles
* Unsupervised Feature Selection Using a Neuro-Fuzzy Approach
* Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm
* Unsupervised Feature Selection Using Feature Similarity
* Unsupervised Feature Selection Using Geometrical Measures in Prototype Space for Hyperspectral Imagery
* Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
* Unsupervised feature selection via adaptive graph and dependency score
* Unsupervised Feature Selection Via Data Reconstruction and Side Information
* Unsupervised feature selection via distributed coding for multi-view object recognition
* Unsupervised Feature Selection via Feature-Grouping and Orthogonal Constraint
* Unsupervised Feature Selection via Graph Regularized Nonnegative CP Decomposition
* Unsupervised Feature Selection Via Hypergraph Embedding
* Unsupervised Feature Selection via Neural Networks and Self-Expression with Adaptive Graph Constraint
* Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control
* Unsupervised feature selection with adaptive multiple graph learning
* Unsupervised Feature Selection with Local Structure Learning
* Unsupervised Feature Selection
* Unsupervised Features for Facial Expression Intensity Estimation Over Time
* Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation
* Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
* Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space
* Unsupervised figure-ground segmentation using edge detection and game-theoretical graph-cut approach
* Unsupervised Fine Land Classification Using Quaternion Autoencoder-Based Polarization Feature Extraction and Self-Organizing Mapping
* Unsupervised Fingerprint Recognition
* Unsupervised Fingerprint Segmentation Based on Multiscale Directional Information
* Unsupervised fisheye image correction through bidirectional loss with geometric prior
* Unsupervised flow-based motion analysis for an autonomous moving system
* Unsupervised Focus Group Identification from Online Product Reviews
* Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion
* Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data
* Unsupervised Framework for Action Recognition Using Actemes, An
* Unsupervised Freeview Groupwise Cardiac Segmentation Using Synchronized Spectral Network
* unsupervised fusion network for boosting denoising performance, An
* Unsupervised Fusion of Misaligned PAT and MRI Images via Mutually Reinforcing Cross-Modality Image Generation and Registration
* Unsupervised fuzzy-membership estimation of terms in semantic and syntactic lexical classes
* Unsupervised fuzzy clustering and image segmentation using weighted neural networks
* Unsupervised Fuzzy Clustering for Trajectory Analysis
* Unsupervised fuzzy clustering
* Unsupervised Fuzzy System for the Automatic Detection of Candidate Lava Tubes in Radar Sounder Data, An
* Unsupervised Game-Theoretic Approach to Saliency Detection, An
* Unsupervised Gaze Representation Learning from Multi-view Face Images
* Unsupervised Gaze: Exploration of Geometric Constraints for 3d Gaze Estimation
* Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework
* unsupervised generalized Hough transform for natural shapes, An
* Unsupervised Generation of a View Point Annotated Car Dataset from Videos
* Unsupervised Generation of Context-Relevant Training-Sets for Visual Object Recognition Employing Multilinguality
* Unsupervised Generation of Free-Form and Parameterized Avatars
* Unsupervised generation of polygonal approximations based on the convex hull
* unsupervised generative adversarial network for single image deraining, An
* Unsupervised Generative Adversarial Network with Background Enhancement and Irredundant Pooling for Hyperspectral Anomaly Detection
* Unsupervised Generative Adversarial Networks with Cross-model Weight Transfer Mechanism for Image-to-image Translation
* Unsupervised Generative Fake Image Detector
* Unsupervised Generative Network for Blind Hyperspectral Image Super-Resolution
* Unsupervised Generative Variational Continual Learning
* Unsupervised geodesic convex combination of shape dissimilarity measures
* Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
* Unsupervised Global and Local Homography Estimation With Motion Basis Learning
* Unsupervised Global Urban Area Mapping via Automatic Labeling from ASTER and PALSAR Satellite Images
* Unsupervised Graph Association for Person Re-Identification
* Unsupervised Graph Embedding via Adaptive Graph Learning
* Unsupervised Graphic Layout Grouping with Transformers
* Unsupervised Group Activity Detection by Hierarchical Dirichlet Processes
* Unsupervised group feature selection for media classification
* Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions
* Unsupervised Hard Example Mining from Videos for Improved Object Detection
* Unsupervised hashing based on the recovery of subspace structures
* Unsupervised Hashing Retrieval via Efficient Correlation Distillation
* Unsupervised Haze Removal for High-Resolution Optical Remote-Sensing Images Based on Improved Generative Adversarial Networks
* Unsupervised HDR Image and Video Tone Mapping via Contrastive Learning
* Unsupervised Heterogeneous Coupling Learning for Categorical Representation
* Unsupervised Hierarchical Disentanglement for Video Prediction
* Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition
* Unsupervised Hierarchical Feature Learning Framework for One-Shot Image Recognition, An
* Unsupervised hierarchical image segmentation based on Bayesian sequential partitioning
* Unsupervised hierarchical image segmentation through fuzzy entropy maximization
* Unsupervised hierarchical image segmentation with level set and additive operator splitting
* Unsupervised Hierarchical Land Classification Using Self-Organizing Feature Codebook for Decimeter-Resolution PolSAR
* Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points
* Unsupervised Hierarchical Segmentation of a Facade Building Image in Elementary 2D-Models, An
* Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
* Unsupervised High-Fidelity Facial Texture Generation and Reconstruction
* Unsupervised High-Resolution Depth Learning From Videos With Dual Networks
* Unsupervised High-Resolution Portrait Gaze Correction and Animation
* Unsupervised Histological Image Registration Using Structural Feature Guided Convolutional Neural Network
* Unsupervised HMM Adaptation Using Page Style Clustering
* Unsupervised Holistic Image Generation from Key Local Patches
* Unsupervised Homography Estimation with Coplanarity-Aware GAN
* Unsupervised Homography Estimation With Pixel-Level SVDD
* Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM
* Unsupervised Human Action Detection by Action Matching
* Unsupervised human activity analysis for intelligent mobile robots
* Unsupervised Human Pose Estimation through Transforming Shape Templates
* Unsupervised hybrid anomaly detection model for logistics fleet management systems
* Unsupervised Hyperbolic Metric Learning
* Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
* Unsupervised Hyperspectral Band Selection by Dominant Set Extraction
* Unsupervised hyperspectral band selection via multi-feature information-maximization clustering
* Unsupervised Hyperspectral Image Analysis with Projection Pursuit
* Unsupervised hyperspectral image segmentation using a new class of neuro-fuzzy systems based on weighted incremental neural networks
* Unsupervised hyperspectral images classification using hypergraph convolutional extreme learning machines
* Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data
* Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER
* Unsupervised Identification of Targeted Spectra Applying Rank1-NMF and FCC Algorithms in Long-Wave Hyperspectral Infrared Imagery
* Unsupervised Illumination Adaptation for Low-Light Vision
* Unsupervised Image-Adapted Local Fisher Discriminant Analysis to Reduce Hyperspectral Images Without Ground Truth
* Unsupervised Image-Set Clustering Using an Information Theoretic Framework
* Unsupervised Image-to-Image Translation via Pre-Trained StyleGAN2 Network
* Unsupervised Image-to-Image Translation with Generative Prior
* Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks
* Unsupervised Image-to-Video Clothing Transfer
* Unsupervised Image and Text Fusion for Travel Information Enhancement
* Unsupervised Image Blind Super Resolution via Real Degradation Feature Learning
* Unsupervised Image Captioning
* Unsupervised Image Categorization and Object Localization using Topic Models and Correspondences between Images
* Unsupervised Image Categorization by Hypergraph Partition
* Unsupervised image categorization
* Unsupervised Image Classification by Probabilistic Latent Semantic Analysis for the Annotation of Images
* Unsupervised Image Classification with a Hierarchical EM Algorithm
* Unsupervised image classification, segmentation, and enhancement using ICA mixture models
* Unsupervised Image Clustering Using the Information Bottleneck Method
* Unsupervised Image Co-segmentation Based on Cooperative Game
* Unsupervised image compression-by-synthesis within a JPEG framework
* Unsupervised image compression using graphcut texture synthesis
* Unsupervised Image Decomposition in Vector Layers
* Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches
* Unsupervised image embedding using nonparametric statistics
* Unsupervised Image Fusion Using Deep Image Priors
* Unsupervised Image Generation with Infinite Generative Adversarial Networks
* Unsupervised Image Layout Extraction
* Unsupervised Image Manipulation Localization With Non-Binary Label Attribution
* Unsupervised Image Matching and Object Discovery as Optimization
* Unsupervised Image Matching Based on Manifold Alignment
* Unsupervised Image Object Segmentation Over Compressed Domain
* Unsupervised Image Partitioning with Semidefinite Programming
* Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement
* Unsupervised Image Regression for Heterogeneous Change Detection
* Unsupervised Image Restoration and Edge Location Using Compound Gauss-Markov Random-Fields and the MDL Principle
* Unsupervised Image Restoration Using Partially Linear Denoisers
* Unsupervised Image Restoration With Quality-Task-Perception Loss
* Unsupervised Image Retrieval With Mask-Based Prominent Feature Accumulation
* Unsupervised Image Retrieval with Similar Lighting Conditions
* Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement
* unsupervised image segmentation algorithm based on the machine learning of appropriate features, An
* Unsupervised image segmentation based on a self-organizing feature map and a texture measure
* Unsupervised Image Segmentation Based on the Comparison of Local and Regional Histograms
* Unsupervised image segmentation combining region and boundary estimation
* Unsupervised Image Segmentation Contest
* Unsupervised image segmentation evaluation and refinement using a multi-scale approach
* Unsupervised Image Segmentation Using a Colony of Cooperating Ants
* Unsupervised Image Segmentation Using A Distributed Genetic Algorithm
* Unsupervised Image Segmentation Using a Hierarchical Clustering Selection Process
* Unsupervised image segmentation using a simple MRF model with a new implementation scheme
* Unsupervised Image Segmentation Using An Unlabeled Region Process
* Unsupervised Image Segmentation Using Contourlet Domain Hidden Markov Trees Model
* Unsupervised image segmentation using defocus map and superpixel grouping
* Unsupervised image segmentation using global spatial constraint and multi-scale representation on multiple segmentation proposals
* Unsupervised image segmentation using Markov random field models
* Unsupervised image segmentation using the Deffuant-Weisbuch model from social dynamics
* Unsupervised image segmentation using the minimum description length principle
* Unsupervised image segmentation using the modified pyramidal linking approach
* Unsupervised image segmentation using triplet Markov fields
* Unsupervised image segmentation via markov trees and complex wavelets
* Unsupervised Image Segmentation with Pairwise Markov Chains Based on Nonparametric Estimation of Copula Using Orthogonal Polynomials
* Unsupervised image segmentation with robust virtual class contrast
* Unsupervised Image Steganalysis Method Using Self-Learning Ensemble Discriminant Clustering
* Unsupervised Image Style Embeddings for Retrieval and Recognition Tasks
* Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks
* Unsupervised Image Super-Resolution with an Indirect Supervised Path
* Unsupervised image transformation for long wave infrared and visual image matching using two channel convolutional autoencoder network
* Unsupervised image translation
* Unsupervised improvement of visual detectors using co-training
* Unsupervised incremental estimation of Gaussian mixture models with 1D split moves
* Unsupervised incremental learning for improved object detection in a video
* Unsupervised industrial anomaly detection with diffusion models
* Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors
* Unsupervised information extraction from unstructured, ungrammatical data sources on the World Wide Web
* Unsupervised Infrared Small-Object-Detection Approach of Spatial-Temporal Patch Tensor and Object Selection
* Unsupervised ink type recognition in ancient manuscripts
* Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting
* Unsupervised Interference Rejection Approach To Target Detection and Classification for Hyperspectral Imagery
* Unsupervised Internet-Based Category Learning for Object Recognition
* Unsupervised Interpretable Pattern Discovery in Time Series Using Autoencoders
* Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision
* Unsupervised Intrinsic Calibration from a Single Frame Using a Plumb-Line Approach
* Unsupervised Intrinsic Image Decomposition Using Internal Self-Similarity Cues
* Unsupervised Intrinsic Image Decomposition with LiDAR Intensity
* Unsupervised Intrusion Detection Using Color Images
* Unsupervised Intuitive Physics from Visual Observations
* Unsupervised iterative detection of land mines in highly cluttered environments
* Unsupervised iterative manifold alignment via local feature histograms
* Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation for Depth-Based Instance Segmentation
* Unsupervised Joint Alignment of Complex Images
* Unsupervised Joint Contrastive Learning for Aerial Person Re-Identification and Remote Sensing Image Classification
* Unsupervised Joint Feature Discretization and Selection
* Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling
* Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks
* Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition
* Unsupervised Joint Object Discovery and Segmentation in Internet Images
* Unsupervised Joint Salient Region Detection and Object Segmentation
* Unsupervised Kernel Function Building Using Maximization of Information Potential Variability
* Unsupervised kernel learning for abnormal events detection
* Unsupervised Kernelized Correlation-Based Hyperspectral Unmixing With Missing Pixels
* Unsupervised Keypoints from Pretrained Diffusion Models
* Unsupervised knowledge transfer for nonblind image deconvolution
* Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment
* Unsupervised Labeled Lane Markers Using Maps
* Unsupervised Labeling Approach for Hyperspectral Image Classification, An
* Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment
* Unsupervised land cover classification in multispectral imagery with sparse representations on learned dictionaries
* Unsupervised Land Cover/Land Use Classification Using PolSAR Imagery Based on Scattering Similarity
* Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images
* Unsupervised Language Learning for Discovered Visual Concepts
* Unsupervised language model adaptation for handwritten Chinese text recognition
* Unsupervised Layered Image Decomposition into Object Prototypes
* Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging
* Unsupervised Learning-Based Framework for Deepfake Video Detection
* Unsupervised learning-based long-term superpixel tracking
* Unsupervised Learning Algorithm for Intelligent Image Analysis, An
* Unsupervised Learning and Mapping of Active Brain Functional MRI Signals Based on Hidden Semi-Markov Event Sequence Models
* Unsupervised Learning and Segmentation of Complex Activities from Video
* Unsupervised learning approach for abnormal event detection in surveillance video by revealing infrequent patterns
* Unsupervised Learning Approach for Road Anomaly Segmentation Using RGB-D Sensor for Advanced Driver Assistance System, An
* Unsupervised Learning Approach to Adaptive Differential Pulse Code Modulation
* Unsupervised Learning Approach to Discontinuity-preserving Image Registration, An
* Unsupervised Learning Approach to Resolve Phenotype to Genotype Mapping in Budding Yeasts Vacuoles, An
* Unsupervised Learning for Forecasting Action Representations
* Unsupervised Learning for Graph Matching
* Unsupervised Learning for Human Sensing Using Radio Signals
* Unsupervised Learning for Improving Efficiency of Dense Three-Dimensional Scene Recovery in Corridor Mapping
* Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
* Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach
* Unsupervised Learning for Real-World Super-Resolution
* Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach
* Unsupervised Learning for Robust Respiratory Signal Estimation From X-Ray Fluoroscopy
* Unsupervised learning framework for interest point detection and description via properties optimization
* Unsupervised Learning From Limited Available Data by ß-NMF and Dual Autoencoder
* Unsupervised Learning from Linked Documents
* Unsupervised Learning from Local Features for Video-Based Face Recognition
* Unsupervised Learning from Narrated Instruction Videos
* Unsupervised Learning from Video to Detect Foreground Objects in Single Images
* Unsupervised Learning From Video With Deep Neural Embeddings
* Unsupervised learning from videos using temporal coherency deep networks
* Unsupervised learning in nongaussian pattern recognition
* Unsupervised Learning in Radiology Using Novel Latent Variable Models
* Unsupervised Learning in Reservoir Computing for EEG-Based Emotion Recognition
* Unsupervised Learning Model for Deformable Medical Image Registration, An
* Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy
* Unsupervised Learning of 3D Object Categories from Videos in the Wild
* Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction
* Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization
* Unsupervised learning of a finite gamma mixture using MML: Application to SAR image analysis
* Unsupervised Learning of a Finite Mixture Model Based on the Dirichlet Distribution and Its Application
* Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception
* Unsupervised learning of a scene-specific coarse gaze estimator
* Unsupervised Learning of Accurate Siamese Tracking
* Unsupervised Learning of Action Classes With Continuous Temporal Embedding
* Unsupervised Learning of Activities in Video Using Scene Context
* Unsupervised Learning of Affinity for Image Segmentation: An Inpainting based Approach
* Unsupervised learning of an atlas from unlabeled point-sets
* Unsupervised learning of background modeling parameters in multicamera systems
* Unsupervised learning of behavioural patterns for video-surveillance
* Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition
* Unsupervised Learning of Camera Pose with Compositional Re-estimation
* Unsupervised Learning of Categorical Segments in Image Collections
* Unsupervised Learning of Categories from Sets of Partially Matching Image Features
* Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
* Unsupervised Learning of Category-specific Symmetric 3d Keypoints from Point Sets
* Unsupervised Learning of Characteristic Object Parts from Videos
* Unsupervised learning of complex articulated kinematic structures combining motion and skeleton information
* Unsupervised Learning of Consensus Maximization for 3D Vision Problems
* Unsupervised Learning of Debiased Representations with Pseudo-Attributes
* Unsupervised Learning of Dense Hierarchical Appearance Representation
* Unsupervised Learning of Dense Shape Correspondence
* Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks
* Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
* Unsupervised Learning of Depth and Ego-Motion from Video
* Unsupervised Learning of Depth Estimation and Camera Pose With Multi-Scale GANs
* Unsupervised learning of depth estimation based on attention model and global pose optimization
* Unsupervised Learning of Depth from Monocular Videos Using 3D-2D Corresponding Constraints
* Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry
* Unsupervised Learning of Dictionaries of Hierarchical Compositional Models
* Unsupervised Learning of Discriminative Attributes and Visual Representations
* Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras
* Unsupervised Learning of Discriminative Relative Visual Attributes
* Unsupervised Learning of Edges
* Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations
* Unsupervised learning of event AND-OR grammar and semantics from video
* Unsupervised Learning of Face Representations
* Unsupervised Learning of Facial Landmarks based on Inter-Intra Subject Consistencies
* Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching
* Unsupervised Learning of Finite Mixture Models
* Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation
* Unsupervised Learning of Foreground Object Segmentation
* Unsupervised Learning of Functional Categories in Video Scenes
* Unsupervised Learning of Generalized Gamma Mixture Model With Application in Statistical Modeling of High-Resolution SAR Images
* Unsupervised Learning of Generative Topic Saliency for Person Re-identification
* Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds
* Unsupervised learning of global factors in deep generative models
* Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization
* Unsupervised Learning of Hand-Printed Characters with Linguistic Information, An
* Unsupervised Learning of Hierarchical Semantics of Objects (hSOs)
* Unsupervised learning of hierarchical spatial structures in images
* Unsupervised learning of high-order structural semantics from images
* Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept
* Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
* Unsupervised learning of human body parts from video footage
* Unsupervised learning of human expressions, gestures, and actions
* Unsupervised learning of human motion
* Unsupervised learning of human perspective context using ME-DT for efficient human detection in surveillance
* Unsupervised Learning of Human Pose Distance Metric via Sparsity Locality Preserving Projections
* Unsupervised Learning of Image Manifolds by Semidefinite Programming
* Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
* Unsupervised Learning of Image Transformations
* Unsupervised Learning of Important Objects from First-Person Videos
* Unsupervised Learning of Intrinsic Structural Representation Points
* Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
* Unsupervised learning of invariant features using video
* Unsupervised Learning of Landmarks by Descriptor Vector Exchange
* Unsupervised Learning of Local Equivariant Descriptors for Point Clouds
* Unsupervised Learning of Long-Term Motion Dynamics for Videos
* Unsupervised Learning of Metric Representations with Slow Features from Omnidirectional Views
* Unsupervised learning of micro-action exemplars using a Product Manifold
* Unsupervised Learning of Models for Recognition
* Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
* Unsupervised learning of motion patterns using generative models
* Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
* Unsupervised Learning of Multi-Object Events
* Unsupervised learning of multi-task deep variational model
* Unsupervised learning of nonlinear dependencies in natural images
* Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images
* Unsupervised Learning of Object Deformation Models
* Unsupervised Learning of Object Features from Video Sequences
* Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings
* Unsupervised Learning of Object Models
* Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering
* Unsupervised Learning of Optical Flow with Deep Feature Similarity
* Unsupervised Learning of Optical Flow With Non-Occlusion From Geometry
* Unsupervised learning of optical flow with patch consistency and occlusion estimation
* Unsupervised learning of overcomplete face descriptors
* Unsupervised Learning of Part-Based Representations
* Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories
* Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
* Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation
* Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild
* Unsupervised learning of prototypes and attribute weights
* Unsupervised Learning of Saliency Concepts for Natural Image Classification and Retrieval
* Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes
* Unsupervised Learning of Shape Manifolds
* Unsupervised Learning of Skeletons from Motion
* Unsupervised learning of spatial structures shared among images
* Unsupervised Learning of Spatiotemporally Coherent Metrics
* Unsupervised Learning of Stereo Matching
* Unsupervised Learning of Stereo Vision with Monocular Depth Cues
* Unsupervised learning of stochastic AND-OR templates for object modeling
* Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition
* Unsupervised learning of supervoxel embeddings for video Segmentation
* Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration
* Unsupervised learning of translation invariant occlusive components
* Unsupervised learning of video structures in videos using hierarchical statistical models to detect events
* Unsupervised Learning of Visual Odometry Using Direct Motion Modeling
* Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
* Unsupervised Learning of Visual Representations Using Videos
* Unsupervised Learning of Visual Structure
* Unsupervised learning of visual taxonomies
* Unsupervised Learning Strategy for Direction-of-Arrival Estimation Network
* Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
* Unsupervised Learning Using the Tensor Voting Graph
* Unsupervised learning via mixtures of skewed distributions with hypercube contours
* Unsupervised Light Field Depth Estimation via Multi-View Feature Matching With Occlusion Prediction
* Unsupervised line network extraction in remote sensing using a polyline process
* Unsupervised Linear Component Analysis for a Class of Probability Mixture Models
* Unsupervised Linear Feature-Extraction Methods and Their Effects in the Classification of High-Dimensional Data
* Unsupervised Linkage Learner Based on Local Optimums
* Unsupervised Lips Segmentation Based on ROI Optimisation and Parametric Model
* Unsupervised local color correction for coarsely registered images
* Unsupervised Local Discrimination for Medical Images
* Unsupervised Local Feature Hashing for Image Similarity Search
* Unsupervised Local Linear Preserving Manifold Reduction with Uncertainty Pretraining for Image Recognition
* Unsupervised Local Regressive Attributes for Pedestrian Re-identification
* Unsupervised Long-Term Routine Modelling Using Dynamic Bayesian Networks
* Unsupervised Low-Frequency Driven Segmentation of Color Images
* Unsupervised Low-Light Image Enhancement by Extracting Structural Similarity and Color Consistency
* Unsupervised Low-Light Image Enhancement Using Bright Channel Prior
* Unsupervised Low-Light Image Enhancement via Feature Smoothing and Curve Regression
* Unsupervised Low-Light Image Enhancement via Virtual Diffraction Information in Frequency Domain
* Unsupervised Low-light Image Enhancement with Decoupled Networks
* Unsupervised Low-Light Video Enhancement With Spatial-Temporal Co-Attention Transformer
* Unsupervised Machine Learning for GNSS Reflectometry Inland Water Body Detection
* Unsupervised Machine Learning on Domes in the Lunar Gardner Region: Implications for Dome Classification and Local Magmatic Activities on the Moon
* Unsupervised Magnification of Posture Deviations Across Subjects
* Unsupervised malignant mammographic breast mass segmentation algorithm based on pickard Markov random field
* Unsupervised mammograms segmentation
* Unsupervised Manifold-Preserving and Weakly Redundant Band Selection Method for Hyperspectral Imagery
* Unsupervised manifold alignment using soft-assign technique
* Unsupervised manifold learning based on multiple feature spaces
* Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval
* Unsupervised Manifold Learning for Video Genre Retrieval
* Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks
* Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks
* Unsupervised Manifold Linearizing and Clustering
* Unsupervised many-to-many image-to-image translation across multiple domains
* Unsupervised Many-to-Many Object Matching for Relational Data
* Unsupervised mapping and semantic user localisation from first-person monocular video
* Unsupervised Maritime Vessel Re-Identification With Multi-Level Contrastive Learning
* Unsupervised marked point process model for boat extraction in harbors from high resolution optical remotely sensed images
* Unsupervised Material Classification of Printed Circuit Boards Using Dimension-Reduced Spectral Information
* Unsupervised Maximum Margin Feature Selection with manifold regularization
* Unsupervised measures for parameter selection of binarization algorithms
* Unsupervised Medical Image Alignment With Curriculum Learning
* Unsupervised Medical Image Translation With Adversarial Diffusion Models
* Unsupervised Meta-Domain Adaptation for Fashion Retrieval
* Unsupervised meta-learning for few-shot learning
* Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification
* Unsupervised Method to Detect Rock Glacier Activity by Using Sentinel-1 SAR Interferometric Coherence: A Regional-Scale Study in the Eastern European Alps, An
* Unsupervised Method to Extract Video Object via Complexity Awareness and Object Local Parts, An
* Unsupervised Methodology for Large-Scale Tree Seedling Mapping in Diverse Forestry Settings Using UAV-Based RGB Imagery
* Unsupervised methods for the classification of hyperspectral images with low spatial resolution
* Unsupervised metric fusion by cross diffusion
* Unsupervised metric learning by Self-Smoothing Operator
* Unsupervised metric learning for face identification in TV video
* Unsupervised Microscopy Video Denoising
* Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network
* Unsupervised minor prototype detection using an adaptive population partitioning algorithm
* Unsupervised Mixture-Eliminating Estimation of Equivalent Number of Looks for PolSAR Data
* Unsupervised Modality-Transferable Video Highlight Detection With Representation Activation Sequence Learning
* Unsupervised Model-based Learning for Simultaneous Video Deflickering and Deblotching
* Unsupervised Model-Based Object Recognition by Parameter Estimation of Hierarchical Mixtures
* unsupervised model for image classification, An
* Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem
* Unsupervised model selection for view-invariant object detection in surveillance environments
* Unsupervised modeling of object categories using link analysis techniques
* Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
* Unsupervised Modeling of Objects and Their Hierarchical Contextual Interactions
* Unsupervised Modeling of Signs Embedded in Continuous Sentences
* Unsupervised Monocular Depth Estimation for Night-time Images Using Adversarial Domain Feature Adaptation
* Unsupervised Monocular Depth Estimation From Light Field Image
* Unsupervised Monocular Depth Estimation Using Attention and Multi-Warp Reconstruction
* Unsupervised Monocular Depth Estimation via Recursive Stereo Distillation
* Unsupervised Monocular Depth Estimation with Left-Right Consistency
* Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes
* Unsupervised Monocular Estimation of Depth and Visual Odometry Using Attention and Depth-Pose Consistency Loss
* Unsupervised Monocular Visual Odometry Based on Confidence Evaluation
* Unsupervised morphological segmentation based on affixality measurements
* Unsupervised motion classification by means of efficient feature selection and tracking
* Unsupervised Motion Detection Using a Markovian Temporal Model with Global Spatial Constraints
* Unsupervised motion pattern learning for motion segmentation
* Unsupervised Motion Saliency Map Estimation Based On Optical Flow Inpainting
* Unsupervised mouse behavior analysis: A data-driven study of mice interactions
* Unsupervised Moving Object Detection in Complex Scenes Using Adversarial Regularizations
* Unsupervised Moving Object Detection through Background Models for PTZ Camera
* Unsupervised Moving Object Detection via Contextual Information Separation
* Unsupervised Moving Object Detection with On-line Generalized Hough Transform
* Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search
* Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN
* Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
* Unsupervised Multi-camera Domain Adaptation for Object Detection in Cultural Sites
* Unsupervised Multi-Class Co-Segmentation via Joint-Cut Over L_1-Manifold Hyper-Graph of Discriminative Image Regions
* Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
* Unsupervised Multi-class Joint Image Segmentation
* Unsupervised multi-class segmentation of SAR images using fuzzy triplet Markov fields model
* Unsupervised multi-class segmentation of SAR images using triplet Markov fields models based on edge penalty
* Unsupervised Multi-constraint Deep Neural Network for Dense Image Matching
* Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders
* Unsupervised multi-domain image translation with domain representation learning
* Unsupervised Multi-Domain Progressive Stain Transfer Guided by Style Encoding Dictionary
* Unsupervised multi-feature tag relevance learning for social image retrieval
* unsupervised multi-focus image fusion method based on Transformer and U-Net, An
* unsupervised multi-focus image fusion method via dual-channel convolutional network and discriminator, An
* Unsupervised Multi-manifold Classification of Hyperspectral Remote Sensing Images with Contractive Autoencoder
* Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
* Unsupervised Multi-Modal Neural Machine Translation
* Unsupervised Multi-Object Segmentation Using Attention and Soft-Argmax
* Unsupervised Multi-Person 3D Human Pose Estimation From 2D Poses Alone
* Unsupervised Multi-resolution Object Extraction Algorithm Using Video-cube, An
* Unsupervised Multi-scale Generative Adversarial Network for Remote Sensing Image Pan-Sharpening, An
* Unsupervised Multi-Scale Hybrid Feature Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images
* Unsupervised Multi-Shot Person Re-Identification Method via Mutual Normalized Sparse Representation and Stepwise Learning, An
* Unsupervised Multi-shot Person Re-identification via Dynamic Bi-directional Normalized Sparse Representation
* Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning
* Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
* Unsupervised Multi-source Domain Adaptation Without Access to Source Data
* Unsupervised Multi-Subclass Saliency Classification for Salient Object Detection
* Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
* Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach
* Unsupervised multi-target trajectory detection, learning and analysis in complicated environments
* Unsupervised Multi-Task Domain Adaptation
* Unsupervised Multi-Task Feature Learning on Point Clouds
* Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation
* Unsupervised Multi-task Learning with Hierarchical Data Structure
* Unsupervised Multi-View Clustering by Squeezing Hybrid Knowledge From Cross View and Each View
* Unsupervised Multi-View CNN for Salient View Selection and 3D Interest Point Detection
* Unsupervised Multi-view CNN for Salient View Selection of 3D Objects and Scenes
* Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation
* Unsupervised multi-view feature extraction with dynamic graph learning
* Unsupervised Multi-View Gaze Representation Learning
* Unsupervised multi-view stereo network based on multi-stage depth estimation
* Unsupervised multi class segmentation of 3D images with intensity inhomogeneities
* Unsupervised Multiclass Region Cosegmentation via Ensemble Clustering and Energy Minimization
* Unsupervised multicomponent image segmentation combining a vectorial HMC Model and ICA
* Unsupervised Multimodal Learning for Dependency-Free Personality Recognition
* Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
* Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph
* Unsupervised Multiphase Segmentation: A Phase Balancing Model
* Unsupervised multiphase segmentation: A recursive approach
* Unsupervised Multiple Object Cosegmentation via Ensemble MIML Learning
* Unsupervised Multiple Object Segmentation of Multiview Images
* Unsupervised Multiregion Partitioning of Fully Polarimetric SAR Images With Advanced Fuzzy Active Contours
* Unsupervised Multiresolution Segmentation for Images with Low Depth of Field
* Unsupervised multiresolution texture segmentation using wavelet decomposition
* Unsupervised Multiscale Color Image Segmentation Based on MDL Principle
* Unsupervised multiscale image segmentation
* Unsupervised multiscale oil slick segmentation from SAR images using a vector HMC model
* Unsupervised multiscale retinal blood vessel segmentation using fundus images
* Unsupervised multiscale segmentation of color images
* Unsupervised Multiscale Speckle Filtering
* Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors
* Unsupervised Multispectral Image Classification Using MRF Models and VQ Method
* Unsupervised Multistage Image Classification Using Hierarchical Clustering With a Bayesian Similarity Measure
* Unsupervised multistage segmentation using Markov random field and maximum entropy principle
* Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning
* Unsupervised Multitemporal Building Change Detection Framework Based on Cosegmentation Using Time-Series SAR
* Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images
* Unsupervised Multiview Distributed Hashing for Large-Scale Retrieval
* Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering
* Unsupervised Mumford-Shah energy based hybrid of texture and nontexture image segmentation
* Unsupervised muscle region extraction by fuzzy decision based saliency feature integration on thigh MRI for 3D modeling
* Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity
* Unsupervised Myocardial Segmentation for Cardiac BOLD
* Unsupervised network pretraining via encoding human design
* Unsupervised neural domain adaptation for document image binarization
* Unsupervised Neural Quantization for Compressed-Domain Similarity Search
* Unsupervised Neural Rendering for Image Hazing
* Unsupervised Newspaper Segmentation Using Language Context
* Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression
* Unsupervised Noise-Resistant Remote-Sensing Image Change Detection: A Self-Supervised Denoising Network-, FCM_SICM-, and EMD Metric-Based Approach
* Unsupervised Non-parametric Geospatial Modeling from Ground Imagery
* Unsupervised non-parametric region segmentation using level sets
* Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation
* Unsupervised Nonlinear Hyperspectral Unmixing Based on Bilinear Mixture Models via Geometric Projection and Constrained Nonnegative Matrix Factorization
* Unsupervised Nonlinear Hyperspectral Unmixing with Reduced Spectral Variability via Superpixel-Based Fisher Transformation
* Unsupervised Nonlinear Manifold Learning
* Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model
* Unsupervised novelty detection using Gabor filters for defect segmentation in textures
* Unsupervised Object-based Clustering in Support of Supervised Point-based 3d Point Cloud Classification
* Unsupervised object-based detection of dissolves in video sequences
* Unsupervised Object-Based Video Segmentation Using Color and Texture
* Unsupervised Object-Centric Learning From Multiple Unspecified Viewpoints
* unsupervised object-level image segmentation method based on foreground and background priors, An
* Unsupervised object-level video summarization with online motion auto-encoder
* Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning
* Unsupervised object counting without object recognition
* Unsupervised object detection via LWIR/RGB translation
* Unsupervised Object Detection with LiDAR Clues
* Unsupervised object discovery and co-localization by deep descriptor transformation
* Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals
* Unsupervised Object Discovery and Segmentation in Videos
* Unsupervised Object Discovery and Tracking in Video Collections
* Unsupervised Object Discovery for Instance Recognition
* Unsupervised Object Discovery from Images by Mining Local Features Using Hashing
* Unsupervised object discovery via self-organisation
* Unsupervised Object Discovery: A Comparison
* Unsupervised Object Extraction by Contour Delineation and Texture Discrimination Based on Oriented Edge Features
* Unsupervised Object Localization with Representer Point Selection
* Unsupervised Object Localization: Observing the Background to Discover Objects
* Unsupervised Object Pose Classification from Short Video Sequences
* Unsupervised object region proposals for RGB-D indoor scenes
* Unsupervised Object Segmentation in Video by Efficient Selection of Highly Probable Positive Features
* Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
* Unsupervised Occlusion-Aware Stereo Matching With Directed Disparity Smoothing
* Unsupervised Occupancy Learning from Sparse Point Cloud
* Unsupervised One-Class Learning for Automatic Outlier Removal
* Unsupervised online clustering and detection algorithms using crowdsourced data for malaria diagnosis
* Unsupervised Online Hashing with Multi-bit Quantization
* Unsupervised Online Learning for Fine-Grained Hand Segmentation in Egocentric Video
* Unsupervised online learning of visual focus of attention
* Unsupervised online learning trajectory analysis based on weighted directed graph
* Unsupervised Online Video Object Segmentation With Motion Property Understanding
* Unsupervised Open-Vocabulary Object Localization in Videos
* Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
* Unsupervised Optical Classification of the Seabed Color in Shallow Oligotrophic Waters from Sentinel-2 Images: A Case Study in the Voh-Kone-Pouembout Lagoon (New Caledonia)
* Unsupervised Optical Flow Estimation for Differently Exposed Images in LDR Domain
* Unsupervised Optical Flow Estimation for Lidar Image Sequences, An
* Unsupervised Optimal Fuzzy Clustering
* Unsupervised Organization of Image Collections: Taxonomies and Beyond
* Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy
* Unsupervised Out-of-Distribution Object Detection via PCA-Driven Dynamic Prototype Enhancement
* Unsupervised Outlier Detection in Appearance-Based Gaze Estimation
* Unsupervised Outlier Detection Using Memory and Contrastive Learning
* Unsupervised outlier detection using random subspace and subsampling ensembles of Dirichlet process mixtures
* Unsupervised Pansharpening Based on Self-Attention Mechanism
* Unsupervised Parallel Image Classification Using a Hierarchical Markovian Model
* Unsupervised parallel image classification using Markovian models
* Unsupervised Parameter-Free Nuclei Segmentation Method for Histology Images, An
* Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space
* Unsupervised Part-Based Disentangling of Object Shape and Appearance
* Unsupervised Part Discovery by Unsupervised Disentanglement
* Unsupervised Part Discovery via Dual Representation Alignment
* Unsupervised Part Learning for Visual Recognition
* Unsupervised Part Segmentation through Disentangling Appearance and Shape
* Unsupervised Patch-Based Approach for Exoplanet Detection by Direct Imaging, An
* Unsupervised Patch-based Context from Millions of Images
* Unsupervised Patch-Based Image Regularization and Representation
* Unsupervised Pathology Detection: A Deep Dive Into the State of the Art
* Unsupervised pattern recognition models for mixed feature-type symbolic data
* Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework
* Unsupervised Pedestrian Re-identification for Loitering Detection
* Unsupervised people organization and its application on individual retrieval from videos
* Unsupervised Perception Model for UAVs Landing Target Detection and Recognition
* Unsupervised Perceptual Segmentation of Natural Color Images Using Fuzzy-Based Hierarchical Algorithm
* Unsupervised person clustering in videos with cross-modal communication
* Unsupervised Person Image Generation With Semantic Parsing Transformation
* Unsupervised Person Image Synthesis in Arbitrary Poses
* unsupervised person re-identification approach based on cross-view distribution alignment, An
* Unsupervised Person Re-Identification Based on Measurement Axis
* Unsupervised Person Re-identification Based on Skeleton Joints Using Graph Convolutional Networks
* Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning
* Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding
* Unsupervised Person Re-identification by Deep Learning Tracklet Association
* Unsupervised person re-identification by dynamic hybrid contrastive learning
* Unsupervised person re-identification by Intra-Inter Camera Affinity Domain Adaptation
* Unsupervised person re-identification by part-compensated soft multi-label learning
* Unsupervised Person Re-Identification by Soft Multilabel Learning
* Unsupervised Person Re-Identification in Aerial Imagery
* Unsupervised Person Re-identification via Cross-Camera Similarity Exploration
* Unsupervised Person Re-Identification Via Global-Level and Patch-Level Discriminative Feature Learning
* Unsupervised Person Re-identification via Graph-Structured Image Matching
* Unsupervised person re-identification via multi-domain joint learning
* Unsupervised Person Re-Identification via Multi-Label Classification
* Unsupervised Person Re-Identification Via Nearest Neighbor Collaborative Training Strategy
* Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning
* Unsupervised person re-identification via simultaneous clustering and mask prediction
* Unsupervised Person Re-Identification via Softened Similarity Learning
* Unsupervised person re-identification with multi-label learning guided self-paced clustering
* Unsupervised Person Re-Identification With Stochastic Training Strategy
* Unsupervised Person Re-Identification With Wireless Positioning Under Weak Scene Labeling
* Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech
* Unsupervised Pixel-Level Detection of Rail Surface Defects Using Multistep Domain Adaptation
* Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
* Unsupervised Pixel-Wise Weighted Adversarial Domain Adaptation
* Unsupervised Pixel Classification in Satellite Imagery Using Multiobjective Fuzzy Clustering Combined With SVM Classifier
* Unsupervised place discovery for visual place classification
* Unsupervised Point Alignment Detection Algorithm, An
* Unsupervised Point Cloud Co-Part Segmentation via Co-Attended Superpoint Generation and Aggregation
* Unsupervised Point Cloud Object Co-segmentation by Co-contrastive Learning and Mutual Attention Sampling
* Unsupervised Point Cloud Pre-Training Via Contrasting and Clustering
* Unsupervised Point Cloud Pre-training via Occlusion Completion
* Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)
* Unsupervised Point Cloud Representation Learning by Clustering and Neural Rendering
* Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey
* Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty
* Unsupervised Polarimetric SAR Urban Area Classification Based on Model-Based Decomposition with Cross Scattering
* Unsupervised PolSAR Image Classification Based on Superpixel Pseudo-Labels and a Similarity-Matching Network
* Unsupervised PolSAR Image Classification Using Discriminative Clustering
* Unsupervised Polygonal Reconstruction of Noisy Contours by a Discrete Irregular Approach
* Unsupervised Port Detection Method in Polarimetric SAR Images Based on Three-Component Decomposition and Multi-Scale Thresholding Segmentation, An
* Unsupervised Pose-aware Part Decomposition for Man-Made Articulated Objects
* Unsupervised possibilistic clustering
* Unsupervised Post-Nonlinear Unmixing of Hyperspectral Images Using a Hamiltonian Monte Carlo Algorithm
* Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep Learning Based Iris Recognition Under Limited Annotated Data
* Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification
* Unsupervised Pre-Training for Detection Transformers
* Unsupervised Pre-training for Person Re-identification
* Unsupervised Pre-training for Temporal Action Localization Tasks
* Unsupervised Pre-Training of Image Features on Non-Curated Data
* Unsupervised Primary Object Discovery in Videos Based on Evolutionary Primary Object Modeling With Reliable Object Proposals
* Unsupervised Primitive Discovery for Improved 3D Generative Modeling
* Unsupervised Procedure Learning via Joint Dynamic Summarization
* Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance
* Unsupervised profiling of OCRed historical documents
* Unsupervised progressive parsing of Poisson fields using minimum description length criteria
* Unsupervised Prompt Tuning for Text-Driven Object Detection
* Unsupervised Radar Target Detection under Complex Clutter Background Based on Mixture Variational Autoencoder
* Unsupervised random forest indexing for fast action search
* Unsupervised Random Forest Manifold Alignment for Lipreading
* Unsupervised range-constrained thresholding
* Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images
* Unsupervised real-time constrained linear discriminant analysis to hyperspectral image classification
* Unsupervised Real-Time Framework of Human Pose Tracking From Range Image Sequences, An
* Unsupervised Real-Time Unusual Behavior Detection for Biometric-Assisted Visual Surveillance
* Unsupervised Real-World Image Super-Resolution via Dual Synthetic-to-Realistic and Realistic-to-Synthetic Translations
* Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
* Unsupervised Real-world Super-resolution Using Variational Auto-encoder and Generative Adversarial Network
* Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective
* Unsupervised Real-World Super Resolution with Cycle Generative Adversarial Network and Domain Discriminator
* Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder
* Unsupervised real image super-resolution via knowledge distillation network
* Unsupervised recognition of multi-view face sequences based on pairwise clustering with attraction and repulsion
* Unsupervised Recognition of the Logical Structure of Business Documents Based on Spatial Relationships
* Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models
* Unsupervised Recurrent Hyperspectral Imagery Super-Resolution Using Pixel-Aware Refinement
* Unsupervised refinement of color and stroke features for text binarization
* unsupervised region growing method for 3D image segmentation, An
* Unsupervised regions based segmentation using object discovery
* Unsupervised Regions Segmentation: Real Time Control of an Upkeep Machine of Natural Spaces
* Unsupervised Reinforcement Learning for Multi-Task Autonomous Driving: Expanding Skills and Cultivating Curiosity
* Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
* Unsupervised Remote Sensing Image Super-Resolution Guided by Visible Images
* Unsupervised remote sensing image thin cloud removal method based on contrastive learning
* Unsupervised representation learning by discovering reliable image relations
* Unsupervised Representation Learning by Sorting Sequences
* Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
* Unsupervised Representation Learning for Diverse Deformable Shape Collections
* Unsupervised Representation Learning for Gaze Estimation
* Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast
* Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN
* Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
* Unsupervised RGB-D image segmentation using joint clustering and region merging
* Unsupervised robust clustering for image database categorization
* Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis
* Unsupervised Robust Domain Adaptation without Source Data
* Unsupervised Robust Feature-Based Partition Ensembling to Discover Categories
* Unsupervised robust nonparametric estimation of the hemodynamic response function for any FMRI experiment
* Unsupervised robust planar segmentation of terrestrial laser scanner point clouds based on fuzzy clustering methods
* Unsupervised Rotation Factorization in Restricted Boltzmann Machines
* Unsupervised Routine Discovery in Egocentric Photo-Streams
* Unsupervised rumor detection based on users' behaviors using neural networks
* Unsupervised Salience Learning for Person Re-identification
* Unsupervised saliency-guided SAR image change detection
* Unsupervised Saliency Detection in 3-D-Video Based on Multiscale Segmentation and Refinement
* Unsupervised saliency estimation based on robust hypotheses
* Unsupervised Saliency Model with Color Markov Chain for Oil Tank Detection
* Unsupervised Salient Instance Detection
* Unsupervised Salient Object Detection via Inferring from Imperfect Saliency Models
* Unsupervised Salient Object Detection with Spectral Cluster Voting
* Unsupervised Salient Object Segmentation Based on Kernel Density Estimation and Two-Phase Graph Cut
* Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
* Unsupervised SAR Change Detection Method Based on Stochastic Subspace Ensemble Learning, An
* Unsupervised SAR Image Change Detection Based on Histogram Fitting Error Minimization and Convolutional Neural Network
* Unsupervised SAR Image Change Detection Based on Structural Consistency and CFAR Threshold Estimation
* Unsupervised SAR Image Change Type Recognition Using Regionally Restricted PCA-Kmean and Lightweight MobileNet
* Unsupervised SAR image segmentation using high-order conditional random fields model based on product-of-experts
* Unsupervised SAR Image Segmentation Using Higher Order Neighborhood-Based Triplet Markov Fields Model
* Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder
* Unsupervised Scale-Consistent Depth Learning from Video
* Unsupervised Scale-Driven Change Detection With Deep Spatial-Spectral Features for VHR Images
* Unsupervised Scene Adaptation for Faster Multi-scale Pedestrian Detection
* Unsupervised scene adaptation for semantic segmentation of urban mobile laser scanning point clouds
* Unsupervised scene analysis: A hidden Markov model approach
* Unsupervised scene segmentation using sparse coding context
* Unsupervised Scene Sketch to Photo Synthesis
* Unsupervised Scheme for Detection of Microcalcifications on Mammograms, An
* Unsupervised seabed segmentation of synthetic aperture sonar imagery via wavelet features and spectral clustering
* Unsupervised Seed Determination for a Region-based Color Image Segmentation Scheme
* Unsupervised segmentation algorithm of HRTEM images
* Unsupervised segmentation and approximation of digital curves with rate-distortion curve modeling
* Unsupervised segmentation and classification of cervical cell images
* Unsupervised Segmentation Based on Connectivity Analysis
* Unsupervised Segmentation Based on Multi-Resolution Analysis, Robust Statistics and Majority Game Theory
* Unsupervised Segmentation Based on Robust Estimation and Cooccurrence Data
* Unsupervised Segmentation by Use of a Texture Gradient
* Unsupervised Segmentation Evaluation Using Area-Weighted Variance and Jeffries-Matusita Distance for Remote Sensing Images
* Unsupervised Segmentation for Automatic Detection of Brain Tumors in MRI
* Unsupervised Segmentation for Inflammation Detection in Histopathology Images
* Unsupervised Segmentation for Transmission Imaging of Carbon Black
* Unsupervised Segmentation Framework with Active Contour Models for Cine Cardiac MRI
* Unsupervised Segmentation in Real-World Images via Spelke Object Inference
* Unsupervised Segmentation Incorporating Colour, Texture, and Motion
* Unsupervised Segmentation incorporating Shape Prior via Generative Adversarial Networks
* Unsupervised Segmentation of 3D and 2D Seismic Reflection Data
* Unsupervised Segmentation of 5D Hyperpolarized Carbon-13 MRI Data Using a Fuzzy Markov Random Field Model
* Unsupervised Segmentation of Anomalies in Sequential Data, Images and Volumetric Data Using Multiscale Fourier Phase-Only Analysis
* Unsupervised Segmentation of Cervical Cell Images Using Gaussian Mixture Model
* Unsupervised Segmentation of Color-Texture Regions in Images and Video
* Unsupervised Segmentation of Color Images Based on k-Means Clustering in the Chromaticity Plane
* Unsupervised segmentation of color images
* Unsupervised segmentation of color textured images using a multi-layer MRF model
* Unsupervised Segmentation of Defocused Video Based on Matting Model
* Unsupervised segmentation of dual-echo MR images by a sequentially learned Gaussian mixture model
* Unsupervised segmentation of dual-polarization SAR images based on amplitude and texture characteristics
* Unsupervised segmentation of ERS and Radarsat sea ice images using multiresolution peak detection and aggregated population equalization
* Unsupervised Segmentation of Gray Level Markov Model Textures with Hierarchical Self Organizing Maps
* Unsupervised segmentation of highly dynamic scenes through global optimization of multiscale cues
* Unsupervised Segmentation of Indoor 3d Point Cloud: Application To Object-based Classification
* Unsupervised segmentation of low clouds from infrared METEOSAT images based on a contextual spatio-temporal labeling approach
* Unsupervised segmentation of low depth of field images based on L0 regularized matting model
* Unsupervised Segmentation of Markov Random-Field Modeled Textured Images Using Selectionist Relaxation
* Unsupervised Segmentation of Markov Random Fields Corrupted by Nonstationary Noise
* Unsupervised Segmentation of Multi-Modal Images by a Precise Approximation of Individual Modes with Linear Combinations of Discrete Gaussians
* Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images
* Unsupervised Segmentation of Multisensor Images Using Generalized Hidden Markov Chains
* Unsupervised segmentation of multispectral images using edge progression and cost function
* Unsupervised Segmentation of Multitemporal Interferometric SAR Images
* Unsupervised segmentation of natural images via lossy data compression
* Unsupervised Segmentation of Noisy and Textured Images Using Markov Random Fields
* Unsupervised Segmentation of Objects using Efficient Learning
* Unsupervised Segmentation of Poisson Data
* Unsupervised Segmentation of Polarimetric SAR Data Using the Covariance Matrix
* Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions
* Unsupervised Segmentation of Retinal Blood Vessels Using a Single Parameter Vesselness Measure
* Unsupervised Segmentation of RGB-D Images
* Unsupervised segmentation of scenes containing vegetation (Forsythia) and soil by hierarchical analysis of bi-dimensional histograms
* Unsupervised segmentation of spaceborne passive radar images
* Unsupervised segmentation of stents corrupted by artifacts in medical X-ray images
* Unsupervised Segmentation of Surface Defects
* Unsupervised Segmentation of Synthetic Aperture Radar Sea Ice Imagery Using a Novel Markov Random Field Model
* Unsupervised segmentation of synthetic aperture radar sea ice imagery using MRF models
* Unsupervised Segmentation of Text Fragments in Real Scenes
* Unsupervised Segmentation of Textured Color Images Using Markov Random Field Models
* Unsupervised segmentation of textured image using Markov random field in random spatial interaction
* Unsupervised Segmentation of Textured Images by Edge Detection in Multidimensional Features
* Unsupervised Segmentation of Textured Images by Pairwise Data Clustering
* Unsupervised Segmentation of Three-dimensional Brain Images
* Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery
* Unsupervised segmentation using dynamic superpixel random walks
* Unsupervised Segmentation Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis
* Unsupervised Segmentation With an Adaptive Number of Clusters Using the SPAN/H/alpha/A Space and the Complex Wishart Clustering for Fully Polarimetric SAR Data Analysis, An
* Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images
* Unsupervised Selection and Discriminative Estimation of Orthogonal Gaussian Mixture Models for Handwritten Digit Recognition
* Unsupervised Selection and Estimation of Finite Mixture Models
* Unsupervised Selective Labeling for More Effective Semi-supervised Learning
* Unsupervised Selective Transfer Learning for Object Recognition
* Unsupervised self-attention lightweight photo-to-sketch synthesis with feature maps
* Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding
* Unsupervised Semantic-Based Aggregation of Deep Convolutional Features
* Unsupervised Semantic-Preserving Adversarial Hashing for Image Search
* Unsupervised semantic and instance segmentation of forest point clouds
* Unsupervised Semantic Feature Discovery for Image Object Retrieval and Tag Refinement
* Unsupervised Semantic Parsing of Video Collections
* Unsupervised Semantic Scene Labeling for Streaming Data
* Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals
* Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
* Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification
* Unsupervised Sequential Outlier Detection With Deep Architectures
* Unsupervised shape-aware SOM down-sampling for plant point clouds
* Unsupervised Shape and Pose Disentanglement for 3d Meshes
* Unsupervised shape clustering of vertebra shapes using simulated annealing and nonlinear dimensionality reduction
* Unsupervised Shape Clustering using Diffusion Maps
* Unsupervised shape discovery using synchronized spectral networks
* Unsupervised similarity learning through Cartesian product of ranking references
* Unsupervised Simplification of Image Hierarchies via Evolution Analysis in Scale-Sets Framework
* Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection
* Unsupervised Simultaneous Registration and Exposure Correction
* Unsupervised Single-Image Reflection Removal
* Unsupervised Single-View Synthesis Network via Style Guidance and Prior Distillation
* Unsupervised Single Image Dehazing Using Dark Channel Prior Loss
* Unsupervised single image dehazing: A contour approach
* Unsupervised Single Image Deraining with Self-Supervised Constraints
* Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network
* Unsupervised Single Image Underwater Depth Estimation
* Unsupervised skeleton learning for manifold denoising
* Unsupervised Sketch to Photo Synthesis
* Unsupervised skin tissue segmentation for remote photoplethysmography
* Unsupervised Smooth Contour Detection
* Unsupervised soft-to-hard hashing with contrastive learning
* Unsupervised sound localization via iterative contrastive learning
* Unsupervised Sound Source Localization From Audio-Image Pairs Using Input Gradient Map
* Unsupervised Sounding Object Localization with Bottom-Up and Top-Down Attention
* Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
* Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution
* Unsupervised Sparse, Nonnegative, Low Rank Dictionary Learning for Detection of Driver Cell Phone Usage
* Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification
* Unsupervised spatial pattern classification of electrical-wafer-sorting maps in semiconductor manufacturing
* Unsupervised spatial self-similarity difference-based change detection method for multi-source heterogeneous images
* Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification
* Unsupervised Spatio-Temporal Multi-Human Detection and Recognition in Complex Scene
* Unsupervised Spatio-Temporal Segmentation with Sparse Spectral-Clustering
* Unsupervised Speaker Identification for TV News
* Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification
* Unsupervised spectral-spatial processing of drone imagery for identification of pine seedlings
* Unsupervised Spectral Demosaicing With Lightweight Spectral Attention Networks
* Unsupervised Spectral Dual Assignment Clustering of Human Actions in Context
* Unsupervised spectral feature selection for face recognition
* Unsupervised Spectral Matching Classifier Based on Artificial DNA Computing for Hyperspectral Remote Sensing Imagery, An
* Unsupervised Spectral Mesh Segmentation Driven by Heterogeneous Graphs
* Unsupervised Spectral Mixture Analysis with Hopfield Neural Network for hyperspectral images
* Unsupervised Speech Activity Detection Using Voicing Measures and Perceptual Spectral Flux
* Unsupervised Speech Text Localization in Comic Images
* Unsupervised sports video particles annotation based on social latent semantic analysis
* Unsupervised State Representation Learning in Partially Observable Atari Games
* Unsupervised Statistical Detection of Changing Objects in Camera-in-motion Video
* Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
* Unsupervised statistical sketching for non-photorealistic rendering models
* Unsupervised Stereo Matching Using Confidential Correspondence Consistency
* Unsupervised stereo matching using correspondence consistency
* Unsupervised Structure-Texture Separation Network for Oracle Character Recognition
* Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
* Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image
* Unsupervised sub-categorization for object detection: Finding cars from a driving vehicle
* Unsupervised sub-domain adaptation using optimal transport
* Unsupervised Sub-graph Selection and Its Application in Face Recognition Techniques
* Unsupervised Sub-Pixel Water Body Mapping with Sentinel-3 OLCI Image
* Unsupervised Subpixelic Classification Using Coarse-Resolution Time Series and Structural Information
* Unsupervised subspace linear spectral mixture analysis for hyperspectral images
* Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model
* Unsupervised Surface Reflectance Field Multi-Segmenter
* Unsupervised Surveillance Video Retrieval Based on Human Action and Appearance
* Unsupervised Symbol Grounding and Cognitive Bootstrapping in Cognitive Vision
* Unsupervised Synchrony Discovery in Human Interaction
* Unsupervised Synthetic Acoustic Image Generation for Audio-Visual Scene Understanding
* Unsupervised Synthetic Aperture Radar Image Segmentation Using Fisher Distributions
* Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension
* Unsupervised target detection in hyperspectral images using projection pursuit
* Unsupervised Teacher-Student Model for Large-Scale Video Retrieval
* unsupervised technique for optimal feature selection in attribute profiles for spectral-spatial classification of hyperspectral images, An
* Unsupervised Techniques for Identifying the Mode of a Multi-Functional Radar with Varying Pulse Sequences
* Unsupervised Template-assisted Point Cloud Shape Correspondence Network
* Unsupervised Temporal Attention Summarization Model for User Created Videos
* Unsupervised Temporal Commonality Discovery
* Unsupervised Temporal Consistency (TC) Loss to Improve the Performance of Semantic Segmentation Networks, An
* Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving
* Unsupervised Temporal Ensemble Alignment for Rapid Annotation
* Unsupervised Temporal Segmentation of Human Action Using Community Detection
* Unsupervised Terrain Classification Preserving Polarimetric Scattering Characteristics
* Unsupervised Test-Time Adaptation Learning for Effective Hyperspectral Image Super-Resolution With Unknown Degeneration
* Unsupervised text-to-image synthesis
* Unsupervised Text Segmentation Using Color and Wavelet Features
* Unsupervised Textual Grounding: Linking Words to Image Concepts
* Unsupervised Textural Classification of Images Using the Texture Spectrum
* Unsupervised texture-based image segmentation through pattern discovery
* Unsupervised Texture Based Image Segmentation by Simulated Annealing Using Markov Random Field and Potts Models
* Unsupervised Texture Classification Using Vector Quantization and Deterministic Relaxation Neural Network
* Unsupervised texture classification: Automatically discover and classify texture patterns
* Unsupervised Texture Discrimination Based on Rough Fuzzy Sets and Parallel Hierarchical Clustering
* Unsupervised Texture Flow Estimation Using Appearance-Space Clustering and Correspondence
* Unsupervised Texture Segmentation Algorithm with Feature Space Reduction and Knowledge Feedback, An
* Unsupervised Texture Segmentation Based on Histogram of Encoded Gabor Features and MRF Model
* Unsupervised texture segmentation based on the modified Markov random field model
* Unsupervised Texture Segmentation Based on Watershed and a Novel Artificial Immune Antibody Competitive Network
* Unsupervised texture segmentation by dominant sets and game dynamics
* Unsupervised Texture Segmentation by Hebbian Learnt Cortical Cells
* Unsupervised Texture Segmentation by Spectral-Spatial-Independent Clustering
* Unsupervised Texture Segmentation for Multispectral Remote-Sensing Images
* Unsupervised Texture Segmentation in a Deterministic Annealing Framework
* Unsupervised Texture Segmentation of Images Using Tuned Matched Gabor Filters
* Unsupervised texture segmentation using a statistical wavelet-based hierarchical multi data model
* Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters
* Unsupervised texture segmentation using active contours driven by the Chernoff gradient flow
* Unsupervised Texture Segmentation Using Color Quantization And Color Feature Distributions
* Unsupervised texture segmentation using feature distributions
* Unsupervised texture segmentation using feature selection and fusion
* Unsupervised Texture Segmentation Using Gabor Filters
* Unsupervised texture segmentation using Hermite transform filters
* Unsupervised Texture Segmentation Using Markov Random Field Models
* Unsupervised texture segmentation using monogenic curvelets and the Potts model
* Unsupervised Texture Segmentation Using Multichannel Decomposition and Hidden Markov-Models
* Unsupervised texture segmentation using multiresolution hybrid genetic algorithm
* Unsupervised Texture Segmentation Using Multispectral Modelling Approach
* Unsupervised texture segmentation using resonance algorithm for natural scenes
* Unsupervised Texture Segmentation Using Selectionist Relaxation
* Unsupervised Texture Segmentation Using Stochastic Version of the EM Algorithm and Data Fusion
* Unsupervised Texture Segmentation Using Tuned Filters in Gaborian Space
* Unsupervised Texture Segmentation via Wavelet Transform
* Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
* Unsupervised texture segmentation with one-step mean shift and boundary Markov random fields
* Unsupervised texture segmentation/classification using 2-D autoregressive modeling and the stochastic expectation-maximization algorithm
* Unsupervised textured image segmentation using 2-D quarter plane autoregressive model with four prediction supports
* Unsupervised Textured Image Segmentation Using Feature Smoothing and Probabilistic Relaxation Techniques
* Unsupervised thermal-to-visible domain adaptation method for pedestrian detection
* Unsupervised Three-Dimensional Image Registration Using a Cycle Convolutional Neural Network
* Unsupervised thresholds for shape matching
* Unsupervised Tibetan speech features Learning based on Dynamic Bayesian Networks
* Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition
* Unsupervised tissue classification of brain MR images for voxel-based morphometry analysis
* Unsupervised Tissue Image Segmentation through Object-Oriented Texture
* Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network
* Unsupervised tissue type segmentation of 3D dual-echo MR head data
* Unsupervised Topic Hypergraph Hashing for Efficient Mobile Image Retrieval
* Unsupervised Tracking from Clustered Graph Patterns
* Unsupervised Tracking With the Doubly Stochastic Dirichlet Process Mixture Model
* Unsupervised Tracklet Person Re-Identification
* Unsupervised Training for 3D Morphable Model Regression
* Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage
* Unsupervised Trajectory Modeling Based on Discrete Descriptors for Classifying Moving Objects in Video Sequences
* Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths
* Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications
* Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Multi-Domain Image Translation
* Unsupervised Transformer Boundary Autoencoder Network for Hyperspectral Image Change Detection
* Unsupervised Tube Extraction Using Transductive Learning and Dense Trajectories
* Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns
* Unsupervised Uncertainty Estimation Using Spatiotemporal Cues in Video Saliency Detection
* Unsupervised Underexposed Image Enhancement via Self-Illuminated and Perceptual Guidance
* Unsupervised underwater fish detection fusing flow and objectiveness
* Unsupervised Universal Attribute Modeling for Action Recognition
* Unsupervised Universal Image Segmentation
* Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability
* Unsupervised update summarization of news events
* Unsupervised Urban Extent Extraction Method from NPP-VIIRS Nighttime Light Data, An
* Unsupervised Vanishing Point Detection and Camera Calibration from a Single Manhattan Image with Radial Distortion
* Unsupervised Variability Normalization for Anomaly Detection
* Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model
* Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting
* Unsupervised Variational Video Hashing With 1D-CNN-LSTM Networks
* Unsupervised varied density based clustering algorithm using spline
* Unsupervised vector image segmentation by a tree structure-ICM algorithm
* unsupervised vector quantization-based target subspace projection approach to mixed pixel detection and classification in unknown background for remotely sensed imagery, An
* Unsupervised Vehicle Re-identification Using Triplet Networks
* Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance
* Unsupervised video-shot segmentation and model-free anchorperson detection for news video story parsing
* Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint
* Unsupervised Video Adaptation for Parsing Human Motion
* Unsupervised Video Analysis for Counting of Wood in River during Floods
* Unsupervised video anomaly detection based on multi-timescale trajectory prediction
* unsupervised video anomaly detection method via Optical Flow decomposition and Spatio-Temporal feature learning, An
* Unsupervised video anomaly detection via normalizing flows with implicit latent features
* Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
* Unsupervised Video Deraining with An Event Camera
* Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
* Unsupervised Video Highlight Extraction via Query-related Deep Transfer
* Unsupervised Video Interpolation Using Cycle Consistency
* Unsupervised Video Matting via Sparse and Low-Rank Representation
* Unsupervised video object segmentation and tracking based on new edge features
* Unsupervised video object segmentation by supertrajectory labeling
* Unsupervised video object segmentation using conditional random fields
* Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation
* Unsupervised Video Object Segmentation via Prototype Memory Network
* Unsupervised video object segmentation with distractor-aware online adaptation
* Unsupervised Video Object Segmentation with Joint Hotspot Tracking
* Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks
* Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning
* Unsupervised Video Representation Learning by Bidirectional Feature Prediction
* Unsupervised Video Segmentation Algorithms Based On Flexibly Regularized Mixture Models
* Unsupervised Video Segmentation and Object Tracking
* Unsupervised Video Segmentation Based on Watersheds and Temporal Tracking
* Unsupervised video segmentation by dynamic volume growing and multivariate volume merging using color-texture-gradient features
* Unsupervised video segmentation for multi-view daily action recognition
* Unsupervised video segmentation method based on feature distance
* Unsupervised Video Shot Detection Using Clustering Ensemble with a Color Global Scale-Invariant Feature Transform Descriptor
* Unsupervised Video Shot Segmentation Using Global Color and Texture Information
* Unsupervised Video Summarization via Attention-driven Adversarial Learning
* Unsupervised Video Summarization via Deep Reinforcement Learning With Shot-Level Semantics
* Unsupervised Video Summarization via Relation-Aware Assignment Learning
* Unsupervised video summarization with adversarial graph-based attention network
* Unsupervised Video Summarization with Adversarial LSTM Networks
* Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks
* Unsupervised Video Surveillance
* Unsupervised Video Understanding by Reconciliation of Posture Similarities
* Unsupervised view and rate invariant clustering of video sequences
* Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
* Unsupervised Vision-and-Language Pretraining via Retrieval-based Multi-Granular Alignment
* Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships
* Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos
* Unsupervised visual alignment with similarity graphs
* Unsupervised Visual Attention and Invariance for Reinforcement Learning
* Unsupervised Visual Changepoint Detection Using Maximum Mean Discrepancy
* Unsupervised Visual Domain Adaptation Using Subspace Alignment
* Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
* Unsupervised visual feature learning with spike-timing-dependent plasticity: How far are we from traditional feature learning approaches?
* Unsupervised visual hull extraction in space, time and light domains
* Unsupervised Visual Object Categorisation via Self-Organisation
* Unsupervised Visual Object Categorisation with BoF and Spatial Matching
* Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment
* Unsupervised Visual Relationship Inference
* Unsupervised Visual Representation Learning by Context Prediction
* Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints
* Unsupervised Visual Representation Learning by Online Constrained K-Means
* Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
* Unsupervised Visual Representation Learning by Tracking Patches in Video
* Unsupervised Visual Representation Learning via Dual-Level Progressive Similar Instance Selection
* Unsupervised Visual Representation Learning via Multi-Dimensional Relationship Alignment
* Unsupervised Volumetric Animation
* Unsupervised Wall Detector in Architectural Floor Plans
* Unsupervised watershed-driven region-based image retrieval
* Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades
* Unsupervised white matter fiber tracts clustering methodology with application on brain MRI data
* Unsupervised Wishart Classfication Of Wetlands In Newfoundland, Canada Using Polsar Data Based On Fisher Linear Discriminant Analysis
* Unsupervised Word Spotting in Historical Handwritten Document Images Using Document-Oriented Local Features
* Unsupervised word spotting using a graph representation based on invariants
* Unsupervised workflow discovery in industrial environments
* Unsupervised writer adaptation applied to handwritten text recognition
* Unsupervised writer adaptation of whole-word HMMs with application to word-spotting
* Unsupervised writer style adaptation for handwritten word spotting
* Unsupervised Zoning of Cultivation Areas With Similar Cultivation Pattern in Golestan Province Based On The Vegetation Products of MODIS Sensor
* Unsupervised, Fast and Precise Recognition of Digital Arcs in Noisy Images
* Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration
* unsupervised, online learning framework for moving object detection, An
* UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
* Unsupervized Image Clustering With SIFT-Based Soft-Matching Affinity Propagation
* Unsupervized Video Segmentation With Low Depth of Field
* Unsustainable Anthropogenic Activities: A Paired Watershed Approach of Lake Urmia (Iran) and Lake Van (Turkey)
* Unsynchronized 4D Barcodes
* Unsynchronized iteratively deepening parallel alpha-beta search
* Unsynchronized markerless motion capture with sharp illumination changes
* Untangling Cycles for Contour Grouping
* Untangling fibers by quotient appearance manifold mapping for grayscale shape classification
* Untangling Object-View Manifold for Multiview Recognition and Pose Estimation
* Untangling the Blum Medial Axis Transform
* Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method
* Untapped Potential of Off-the-Shelf Convolutional Neural Networks, The
* Untersuchungen zur Lehre der Gestalt, II
* Untrained Low-Rank Neural Network Prior for Multi-Dimensional Image Recovery
* Untrained Metamaterial-Based Coded Aperture Imaging Optimization Model Based on Modified U-Net
* Untrained Neural Network Prior for Light Field Compression, An
* Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
* Untrimmed Action Anticipation
* UntrimmedNets for Weakly Supervised Action Recognition and Detection
* Untwisting a Projective Reconstruction
* Unusual Activity Analysis Using Video Epitomes and pLSA
* Unusual Activity Recognition in Noisy Environments
* Unusual Enhancement of the Optical Depth on the Continental Shelf Depth Latitudinal Variation in the Stratospheric Polar Vortex
* Unusual Event Detection in Crowded Scenes Using Bag of LBPs in Spatio-Temporal Patches
* Unusual Event Detection via Multi-camera Video Mining
* Unusual events detection based on multi-dictionary sparse representation using kinect
* Unusual Fish Assemblages Associated with Environmental Changes in the East China Sea in February and March 2017
* Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation
* Unveiling 25 Years of Planetary Urbanization with Remote Sensing: Perspectives from the Global Human Settlement Layer
* Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE)
* Unveiling Deviations from IPCC Temperature Projections through Bayesian Downscaling and Assessment of CMIP6 General Circulation Models in a Climate-Vulnerable Region
* Unveiling E-Bike Potential for Commuting Trips from GPS Traces
* Unveiling Gender Effects in Gait Recognition Using Conditional-Matched Bootstrap Analysis
* Unveiling Glacier Mass Balance: Albedo Aggregation Insights for Austrian and Norwegian Glaciers
* Unveiling Groups of Related Tasks in Multi-Task Learning
* Unveiling Image Classifiers: An In-Depth Comparative Exploration of Machine Learning Algorithms
* Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation
* Unveiling Real-Life Effects of Online Photo Sharing
* Unveiling Social Relations: Leveraging Interpersonal Similarity Learning for Social Relation Recognition
* Unveiling spatiotemporal tree cover patterns in China: The first 30m annual tree cover mapping from 1985 to 2023
* Unveiling tampering traces: Enhancing image reconstruction errors for visualization
* Unveiling Temperature Patterns in Tree Canopies across Diverse Heights and Types
* Unveiling the Accuracy of New-Generation Satellite Rainfall Estimates across Bolivia's Complex Terrain
* Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis
* Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
* Unveiling the Core Patterns of High-Latitude Electron Density Distribution at Swarm Altitude
* Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis
* Unveiling the Influence of Image Super-resolution on Aerial Scene Classification
* Unveiling the Non-Linear Influence of Eye-Level Streetscape Factors on Walking Preference: Evidence from Tokyo
* Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
* Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions Through Masked Modeling
* Unveiling the Power of Deep Tracking
* Unveiling the Power of Visible-Thermal Video Object Segmentation
* Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images
* Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation
* UNVI-Based Time Series for Vegetation Discrimination Using Separability Analysis and Random Forest Classification
* Unwarping of unidirectionally distorted EPI images
* Unwarping scanned image of Japanese/English documents
* UnweaveNet: Unweaving Activity Stories
* Unwrapped wavefront evaluation in phase-shifting interferometry based on 3D dynamic fringe processing in state space
* Unwrapping ground displacement signals in satellite radar interferograms with aid of GPS data and MRF regularization
* Unwrapping low-rank textures on generalized cylindrical surfaces
* Unwrapping of MR Phase Images Using a Markov Random Field Model
* Unwrapping the eye for visible-spectrum gaze tracking on wearable devices
* UoB highly occluded object challenge (UoB-HOOC)
* UODV: Improved Algorithm and Generalized Theory
* UoNGBR: A Regional Assimilation Barotropic Tidal Model for the Great Barrier Reef and Coral Sea Based on Satellite, Coastal and Marine Data
* UOW-Vessel: A Benchmark Dataset of High-Resolution Optical Satellite Images for Vessel Detection and Segmentation
* UP-CNN: Un-pooling augmented convolutional neural network
* UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image Restoration
* UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
* UP-NAS: Unified Proxy for Neural Architecture Search
* UP-Net: Uncertainty-Supervised Parallel Network for Image Manipulation Localization
* Up-sampling oriented frame rate reduction
* Up-View Visual-Based Indoor Positioning Method via Deep Learning, An
* Up and Down Trend Associations in Analysis of Time Series Shape Association Patterns
* Up to Date DSM Generation Using High Resolution Satellite Image Data
* Up4dream Capacity Building Project: UAS Based Mapping In Developing Countries
* UPAR Challenge 2024: Pedestrian Attribute Recognition and Attribute-Based Person Retrieval - Dataset, Design, and Results
* UPAR Challenge: Pedestrian Attribute Recognition and Attribute-based Person Retrieval - Dataset, Design, and Results
* UPAR: Unified Pedestrian Attribute Recognition and Person Retrieval
* Upcoming Mood Prediction Using Public Online Social Networks Data: Analysis over Cyber-Social-Physical Dimension
* Upcycling Models Under Domain and Category Shift
* UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes
* Updatable Siamese tracker with two-stage one-shot learning
* Update-Describe Approach for Human Action Recognition in Surveillance Video, An
* Update-efficient indexing of moving objects in road networks
* Update Compression for Deep Neural Networks on the Edge
* Update From The Reseed Project, An
* Update of Roads in GIS from Aerial Imagery: Verification and Multi-Resolution Extraction
* Update of VIIRS On-Orbit Spatial Parameters Characterized With the Moon
* update on automatic 3D building reconstruction, An
* Update Relevant Image Weights for Content-Based Image Retrieval Using Support Vector Machines
* Updated Estimate of Geocenter Variation from Analysis of SLR Data, An
* Updated Experimental Model of IG12 Indices Over the Antarctic Region via the Assimilation of IRI2016 With GNSS TEC, An
* Updated Geophysical Model for AMSR-E and SSMIS Brightness Temperature Simulations over Oceans, An
* Updated Global Navigation Satellite System Observations and Attention-Based Convolutional Neural Network-Long Short-Term Memory Network Deep Learning Algorithms to Predict Landslide Spatiotemporal Displacement
* Updated GOES-13 Heliosat-2 Method for Global Horizontal Irradiation in the Americas
* Updated Radiometric Calibration for the Landsat-5 Thematic Mapper Reflective Bands
* Updated version of an interim connection space LabPQR for spectral color reproduction: LabLab
* Updates of aw3d30 Alos Global Digital Surface Model In Antarctica With Other Open Access Datasets
* Updates of AW3D30 ALOS Global Digital Surface Model with Other Open Access Datasets
* Updates to and Performance of the cBathy Algorithm for Estimating Nearshore Bathymetry from Remote Sensing Imagery
* Updating A Digital Geographic Database using Vehicle-borne Laser Scanners and Line Cameras
* Updating a Road Network Dataset Exploiting The Results of Semantic Segmentation Techniques Applied to Street-level Imagery
* Updating Absolute Radiometric Characteristics for KOMPSAT-3 and KOMPSAT-3A Multispectral Imaging Sensors Using Well-Characterized Pseudo-Invariant Tarps and Microtops II
* Updating Active Deformation Inventory Maps in Mining Areas by Integrating InSAR and LiDAR Datasets
* Updating Building Maps Based On Object Extraction And Building Height Estimation
* Updating Inventory, Deformation, and Development Characteristics of Landslides in Hunza Valley, NW Karakoram, Pakistan by SBAS-InSAR
* Updating Knowledge in Feedback-Based Multi-classifier Systems
* Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach
* Updating Land-Cover Maps by Using Texture Information from Very High-Resolution Space-Borne Imagery
* Updating Maps Using High Resolution Satellite Imagery
* Updating mixture of principal components for error concealment
* Updating National Topographic Data Base Using Change Detection Methods
* Updating Object for GIS Database Information Using High Resolution Satellite Images: A Case Study Zonguldak
* Updating of Cartographic Road Databases by Image Analysis
* Updating of Land Cover Maps and Change Analysis Using GlobeLand30 Product: A Case Study in Shanghai Metropolitan Area, China
* Updating of the IONORT Tool to Perform a High-Frequency Ionospheric Ray Tracing, An
* Updating Production Line System for National Topographical Database At 1:50k of China Based On Digital Map Generalization, An
* Updating Road Maps by Contextual Reasoning
* Updating Road Networks by Local Renewal from GPS Trajectories
* Updating solutions of the rational function model using additional control information
* Updating the Jacobi SVD for Nonstationary Data
* Updating topographic mapping in Great Britain using imagery from high-resolution satellite sensors
* UPDCNN: A New Scheme for Image Upsampling and Deblurring Using a Deep Convolutional Neural Network
* UPDExplainer: An interpretable transformer-based framework for urban physical disorder detection using street view imagery
* UPE: Utah Prototyping Environment for Robot Manipulators
* UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
* UPGAN: An Unsupervised Generative Adversarial Network Based on U-Shaped Structure for Pansharpening
* UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer
* Upgrade of Foss Date Plug-in: Implementation Of A New Radargrammetric DSM Generation Capability
* Upgraded Low-Frequency 3D Lightning Mapping System in North China and Observations on Lightning Initiation Processes
* Upgrades of the Earth Networks Total Lightning Network in 2021
* Upgrading color-difference formulas
* Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion
* Upgrading security and protection in ear biometrics
* Upgrading To Postgis 2.0 In The Brazilian Federal Police Forensics Gis
* UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging With Unpaired Data
* UPI-Net: Semantic Contour Detection in Placental Ultrasound
* UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
* Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
* Uplink Resource Allocation for Relay-Aided Device-to-Device Communication
* Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning, An
* Uploader Intent for Online Video: Typology, Inference, and Applications
* UPnP: An Optimal O(n) Solution to the Absolute Pose Problem with Universal Applicability
* Upper-Body Contour Extraction Using Face and Body Shape Variance Information
* Upper-Body Pose Estimation Using Geodesic Distances and Skin-Color
* Upper-body pose recognition using cylindrical coordinate system
* Upper-Limb Posture Definition During Grasping with Task and Environment Constraints
* Upper and Lower Probabilities Generalized by a Random Closed Interval
* Upper and Lower Probabilities Induced by a Multivalued Mapping
* Upper and Lower Probability Inferences for Families of Hypotheses with Monotone Density Ratios
* Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context Reduction
* Upper and lower volumetric fractal descriptors for texture classification
* Upper Body Detection and Tracking in Extended Signing Sequences
* Upper Body Human Detection and Segmentation in Low Contrast Video
* Upper Body Pose Estimation from Stereo and Hand-Face Tracking
* Upper Body Pose Estimation with Temporal Sequential Forests
* Upper Body Tracking and 3D Gesture Reconstruction Using Agent-Based Architecture
* Upper Body Tracking for Interactive Applications
* Upper Bound on Compression Ratio for Run-Length Encoding
* Upper Bound on Run-Length Coding Entropy, An
* Upper Bounds for Error Rates of Linear Combinations of Classifiers
* Upper Bounds of Cellular Vehicle-to-Vehicle Communication Latency for Platoon-Based Autonomous Driving, The
* Upper Facial Action Unit Recognition
* Upper limb movement analysis via marker tracking with a single-camera system
* Upper Mantle beneath the Myanmar and Surrounding Tomography: New Insight into Plate Subduction and Volcanism
* Upper Mantle Velocity Structure Beneath the Yarlung-Tsangpo Suture Revealed by Teleseismic P-Wave Tomography
* Upper Ocean Response to Two Sequential Tropical Cyclones over the Northwestern Pacific Ocean
* Upper Ocean Response to Typhoon Kalmaegi and Sarika in the South China Sea from Multiple-Satellite Observations and Numerical Simulations
* Upper Ocean Responses to the Tropical Cyclones Ida and Felicia (2021) in the Gulf of Mexico and the Eastern North Pacific
* Uppsala University
* Upright-Net: Learning Upright Orientation for 3D Point Cloud
* Upright Adjustment With Graph Convolutional Networks
* Upright and Stabilized Omnidirectional Depth Estimation for Wide-baseline Multi-camera Inertial Systems
* UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images
* Upsampled-view distortion optimization for mixed resolution 3D Video Coding
* Upsampling range data in dynamic environments
* Upsampling the depth map with its own properties
* Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
* Upscaling-Downscaling Optimal Seamline Detection Algorithm for Very Large Remote Sensing Image Mosaicking, An
* Upscaling Algorithm to Obtain the Representative Ground Truth of LAI Time Series in Heterogeneous Land Surface, An
* Upscaling and Validation of RTK-direct Georeferenced UAV-based RGB Image Data with Planet Imagery Using Polygon Grids for Pasture Monitoring
* Upscaling CH4 Fluxes Using High-Resolution Imagery in Arctic Tundra Ecosystems
* Upscaling Evapotranspiration from a Single-Site to Satellite Pixel Scale
* Upscaling factor estimation on pre-JPEG compressed images based on difference histogram of spectral peaks
* Upscaling Forest Canopy Height Estimation Using Waveform-Calibrated GEDI Spaceborne LiDAR and Sentinel-2 Data
* Upscaling from Instantaneous to Daily Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) for Satellite Products
* Upscaling Gross Primary Production in Corn-Soybean Rotation Systems in the Midwest
* Upscaling Household Survey Data Using Remote Sensing to Map Socioeconomic Groups in Kampala, Uganda
* Upscaling image resolution of compact imaging systems using wavefront coding and a property of the point-spread function
* Upscaling In Situ Soil Moisture Observations to Pixel Averages with Spatio-Temporal Geostatistics
* Upscaling Northern Peatland CO2 Fluxes Using Satellite Remote Sensing Data
* Upscaling of Latent Heat Flux in Heihe River Basin Based on Transfer Learning Model
* Upscaling of Single-Site-Based Measurements for Validation of Long-Term Coarse-Pixel Albedo Products
* Upscaling of Surface Soil Moisture Using a Deep Learning Model with VIIRS RDR
* Upscaling Remote Sensing Inversion Model of Wheat Field Cultivated Land Quality in the Huang-Huai-Hai Agricultural Region, China
* Upscaling Solar-Induced Chlorophyll Fluorescence from an Instantaneous to Daily Scale Gives an Improved Estimation of the Gross Primary Productivity
* Upscaling UAS Paradigm to UltraLight Aircrafts: A Low-Cost Multi-Sensors System for Large Scale Aerial Photogrammetry
* UPSNet: A Unified Panoptic Segmentation Network
* Upstream GPS Vertical Displacement and its Standardization for Mekong River Basin Surface Runoff Reconstruction and Estimation
* Upstream Remotely-Sensed Hydrological Variables and Their Standardization for Surface Runoff Reconstruction and Estimation of the Entire Mekong River Basin
* UPT-Flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement
* Upward-fusion urban DTM generating method using airborne Lidar data
* Upward Longwave Radiation, Outgoing Longwave Radiation, Upwelling Radiation
* Upward Robust Steganography Based on Overflow Alleviation
* Upwind-Downwind Asymmetry of the Sea Backscattering Normalized Radar Cross Section Versus the Skewness Function
* Upwind Finite-Difference Method For Total Variation-Based Image Smoothing, An
* UPX: a new XML representation for annotated datasets of online handwriting data
* Uranus Mobile Robot, The
* Urban's River Flood Analysing Using Sentinel-1 Data Case Study: (gorganrood, Aq'qala)
* Urban-Area and Building Detection Using SIFT Keypoints and Graph Theory
* Urban-Rural Contrasts in Central-Eastern European Cities Using a MODIS 4 Micron Time Series
* Urban-Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United States
* Urban-rural gradient in vegetation phenology changes of over 1500 cities across China jointly regulated by urbanization and climate change
* Urban-Rural Gradients Predict Educational Gaps: Evidence from a Machine Learning Approach Involving Academic Performance and Impervious Surfaces in Ecuador
* Urban-Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China, The
* Urban-Rural Surface Temperature Deviation and Intra-Urban Variations Contained by an Urban Growth Boundary
* Urban-Target Recognition by Means of Repeated Spaceborne SAR Images
* Urban-trees extraction from Quickbird imagery using multiscale spectex-filtering and non-parametric classification
* Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way
* Urban 3d Modelling Methods: A State-of-the-art Review
* Urban 3D modelling using terrestrial laserscanners
* Urban 3D segmentation and modelling from street view images and LiDAR point clouds
* Urban Above-Ground Biomass Estimation Using GEDI Laser Data and Optical Remote Sensing Images
* Urban accessibility diagnosis from mobile laser scanning data
* Urban Ageing in Europe: Spatiotemporal Analysis of Determinants
* Urban Air Mobility: History, Ecosystem, Market Potential, and Challenges
* Urban Air Pollutant Monitoring through a Low-Cost Mobile Device Connected to a Smart Road
* Urban Air Quality Assessment by Fusing Spatial and Temporal Data from Multiple Study Sources Using Refined Estimation Methods
* Urban Archaeology: How to Communicate a Story of a Site, 3D Virtual Reconstruction but not Only
* Urban Architectural Style Recognition and Dataset Construction Method under Deep Learning of street View Images: A Case Study of Wuhan
* Urban area change detection based on generalized likelihood ratio test
* Urban Area Characterization and Structure Analysis: A Combined Data-Driven Approach by Remote Sensing Information and Spatial-Temporal Wireless Data
* Urban Area Detection in Satellite Images Using Map Knowledge by a Feedback Control Technique
* Urban Area Extraction by Regional and Line Segment Feature Fusion and Urban Morphology Analysis
* Urban Area Extraction in SAR Data
* Urban Area Extraction Using Airborne X-Band Fully Polarimetric Pi-SAR2 Imagery
* Urban Area Mapping Using Multitemporal SAR Images in Combination with Self-Organizing Map Clustering and Object-Based Image Analysis
* Urban Area Tomography Using a Sparse Representation Based Two-Dimensional Spectral Analysis Technique
* Urban Areas, Change, Expansion and Growth
* Urban Areas, Expansion and Growth, Specific Sites, China
* Urban Building Change Detection in SAR Images Using Combined Differential Image and Residual U-Net Network
* Urban Building Classification (UBC) - A Dataset for Individual Building Detection and Classification from Satellite Imagery
* Urban Building Collapse Detection Using Very High Resolution Imagery and Airborne LIDAR Data
* Urban building detection from optical and InSAR features exploiting context
* Urban Building Extraction and Modeling Using GF-7 DLC and MUX Images
* Urban Building Height Extraction from Gaofen-7 Stereo Satellite Images Enhanced by Contour Matching
* Urban building height variance from multibaseline ERS coherence
* Urban Building Mesh Polygonization Based on 1-Ring Patch and Topology Optimization
* Urban Building Mesh Polygonization Based on Plane-Guided Segmentation, Topology Correction and Corner Point Clump Optimization
* Urban building recognition during significant temporal variations
* Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China
* Urban Built-Up Area Boundary Extraction and Spatial-Temporal Characteristics Based on Land Surface Temperature Retrieval
* Urban Built-Up Area Extraction from Landsat TM/ETM+ Images Using Spectral Information and Multivariate Texture
* Urban Built-up Areas in Transitional Economies of Southeast Asia: Spatial Extent and Dynamics
* Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data
* Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery
* Urban Change Analysis with Multi-Sensor Multispectral Imagery
* Urban change detection based on an artificial neural network
* Urban Change Detection Based on Coherence and Intensity Characteristics of Sar Imagery
* Urban Change Detection Based on Dempster-Shafer Theory for Multitemporal Very High-Resolution Imagery
* Urban Change Detection from Aerial Images Using Convolutional Neural Networks and Transfer Learning
* Urban Change Extraction from High Resolution Satellite Image
* Urban Coastal Flood-Prone Mapping under the Combined Impact of Tidal Wave and Heavy Rainfall: A Proposal to the Existing National Standard
* Urban Crime Mapping and Analysis Using GIS
* Urban Damage Level Mapping Based on Scattering Mechanism Investigation Using Fully Polarimetric SAR Data for the 3.11 East Japan Earthquake
* Urban DEM Generation from Raw Lidar Data: A Labeling Algorithm and its Performance
* Urban DEM generation, analysis and enhancements using TanDEM-X
* Urban Detection, Delimitation And Morphology: Comparative Analysis Of Selective megacities
* Urban Development in West Africa: Monitoring and Intensity Analysis of Slum Growth in Lagos: Linking Pattern and Process
* Urban Digital Elevation Model Reconstruction Using Very High Resolution Multichannel InSAR Data
* Urban Ecological Corridor Network Construction: An Integration of the Least Cost Path Model and the InVEST Model
* Urban Ecological Space Changes of 338 Prefecture-level Cities In China From 2016 to 2017 with High-precision Urban Boundary and Land Cover Data
* Urban Emergency Evacuation Data Fusion Based on One Map
* Urban Environment Modelling by Fusion of a Cadastral Map and a Digital Elevation Model
* Urban Expansion and Its Impact on the Land Use Pattern in Xishuangbanna since the Reform and Opening up of China
* Urban expansion monitoring in South Asia based on SPOT /VGT and DMSP/OLS data
* Urban Expansion Monitoring Using Satellite Images by Means of Decision Level Fusion of Fuzzy Change Detectors
* Urban Feature Extraction within a Complex Urban Area with an Improved 3D-CNN Using Airborne Hyperspectral Data
* Urban features recognition and extraction from very-high resolution multi-spectral satellite imagery: A micro-macro texture determination and integration framework
* Urban Fine-Grained Spatial Structure Detection Based on a New Traffic Flow Interaction Analysis Framework
* Urban Fire Dynamics and Its Association with Urban Growth: Evidence from Nanjing, China
* Urban Fire Severity and Vegetation Dynamics in Southern California
* Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities
* Urban Flood Analysis in Ungauged Drainage Basin Using Short-Term and High-Resolution Remotely Sensed Rainfall Records
* Urban Flood Detection Using TerraSAR-X and SAR Simulated Reflectivity Maps
* Urban Flood Detection with Sentinel-1 Multi-Temporal Synthetic Aperture Radar (SAR) Observations in a Bayesian Framework: A Case Study for Hurricane Matthew
* Urban Flood Dynamic Risk Assessment Based on Typhoon Rainfall Process: A Case Study of Typhoon Lupit (2109) in Fuzhou, China
* Urban Flood Mapping Using SAR Intensity and Interferometric Coherence via Bayesian Network Fusion
* Urban flood mapping with an active self-learning convolutional neural network based on TerraSAR-X intensity and interferometric coherence
* Urban Flood Resilience Evaluation Based on GIS and Multi-Source Data: A Case Study of Changchun City
* Urban flood risk analysis for determining optimal flood protection levels based on digital terrain model and flood spreading model
* Urban Flood Risk Assessment in Zhengzhou, China, Based on a D-Number-Improved Analytic Hierarchy Process and a Self-Organizing Map Algorithm
* Urban Flood Risk Assessment through the Integration of Natural and Human Resilience Based on Machine Learning Models
* Urban Flooding Index for Unsupervised Inundated Urban Area Detection Using Sentinel-1 Polarimetric SAR Images, An
* Urban Forest Growth and Gap Dynamics Detected by Yearly Repeated Airborne Light Detection and Ranging (LiDAR): A Case Study of Cheonan, South Korea
* Urban freeway users' diversion response to variable message sign displaying the travel time of both freeway and local street
* Urban Functional Area Determination, Analysis
* Urban Functional Zone Classification Using Light-Detection-and-Ranging Point Clouds, Aerial Images, and Point-of-Interest Data
* Urban functional zone mapping by integrating high spatial resolution nighttime light and daytime multi-view imagery
* Urban Functional Zone Recognition Integrating Multisource Geographic Data
* Urban Geological 3D Modeling Based on Papery Borehole Log
* Urban granularities: A data structure for cognitively ergonomic route directions
* Urban Green Accessibility Index: A Measure of Pedestrian-Centered Accessibility to Every Green Point in an Urban Area
* Urban Green Connectivity Assessment: A Comparative Study of Datasets in European Cities
* Urban Green Plastic Cover Mapping Based on VHR Remote Sensing Images and a Deep Semi-Supervised Learning Framework
* Urban Green Space Mapping, Parks, Detection, Analysis
* Urban Green Space Planning Based on Remote Sensing and Geographic Information Systems
* Urban Growth and Its Ecological Effects in China
* Urban Growth Derived from Landsat Time Series Using Harmonic Analysis: A Case Study in South England with High Levels of Cloud Cover
* Urban Growth Detection Using Texture Analysis on Merged Landsat TM and SPOT-P Data
* Urban Growth Forecast Using Machine Learning Algorithms and GIS-Based Novel Techniques: A Case Study Focusing on Nasiriyah City, Southern Iraq
* Urban Growth Modeling and Future Scenario Projection Using Cellular Automata (CA) Models and the R Package Optimx
* Urban Growth Modeling Using ANFIS Algorithm: A Case Study for Sanandaj City, Iran
* Urban Growth Simulation of Atakum (Samsun, Turkey) Using Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models
* Urban Growth, Real Estate Development and Indigenous Property: Simulating the Expansion Process in the City of Temuco, Chile
* Urban Health Related Air Quality Indicators over the Middle East and North Africa Countries Using Multiple Satellites and AERONET Data
* Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery
* Urban Heat Island Effects on Megacities in Desert Environments Using Spatial Network Analysis and Remote Sensing Data: A Case Study from Western Saudi Arabia
* Urban Heat Island Footprint Effects on Bio-productive Rural Land Covers Surrounding a Low Density Urban Center
* Urban Heat Island Formation in Greater Cairo: Spatio-Temporal Analysis of Daytime and Nighttime Land Surface Temperatures along the Urban-Rural Gradient
* Urban Heat Island Growth Modeling Using Artificial Neural Networks and Support Vector Regression: A case study of Tehran, Iran
* Urban Heat Island Micro-mapping Via 3D City Model
* Urban Heat Island Monitoring and Impacts on Citizen's General Health Status in Isfahan Metropolis: A Remote Sensing and Field Survey Approach
* Urban Heat Island Study of the Colombo Metropolitan Area, Sri Lanka, Based on Landsat Data (1997-2017), An
* Urban Heat Islands as Viewed by Microwave Radiometers and Thermal Time Indices
* Urban Heat Islands, Remote Sensing
* Urban Heritage Characterization Using 3D Geographic Information Systems. the System of Medium-sized Cities In Andalusia, The
* Urban Heritage Monitoring, Using Image Processing Techniques and Data Collection With Terrestrial Laser Scanner (tls), Case Study Cuenca - Ecuador
* Urban History in 4 Dimensions: Supporting Research And Education
* Urban Hot/Cold Spot Detection Method Based on the Page Rank Value of Spatial Interaction Networks Constructed from Human Communication Records, An
* Urban Hotspot Area Detection Using Nearest-Neighborhood-Related Quality Clustering on Taxi Trajectory Data
* Urban Human-Land Spatial Mismatch Analysis from a Source-Sink Perspective with ICT Support
* Urban Impervious Surface Detection With Landsat and Full Polarimetric Alos/palsar Images
* Urban Impervious Surface Extraction Based on Deep Convolutional Networks Using Intensity, Polarimetric Scattering and Interferometric Coherence Information from Sentinel-1 SAR Images
* Urban Imperviousness Effects on Summer Surface Temperatures Nearby Residential Buildings in Different Urban Zones of Parma
* Urban Infrastructure and Buildings in Ruins: Damage Severity Mapping Of Neighborhoods Affected By The June 2018 Windstorm in Bauchi
* Urban Internal Network Structure and Resilience Characteristics from the Perspective of Population Mobility: A Case Study of Nanjing, China
* Urban Intersection Management Strategies for Autonomous/Connected/Conventional Vehicle Fleet Mixtures
* Urban Land-Cover Change and Its Impact on the Ecosystem Carbon Storage in a Dryland City
* Urban Land-Cover Change Detection through Sub-Pixel Imperviousness Mapping Using Remotely Sensed Data
* Urban Land-Cover Classification Using Side-View Information from Oblique Images
* Urban Land-Cover Dynamics in Arid China Based on High-Resolution Urban Land Mapping Products
* Urban Land-use Classification Using Variogram-based Analysis with an Aerial Photograph
* Urban Land Cover Change Modelling Using Time-Series Satellite Images: A Case Study of Urban Growth in Five Cities of Saudi Arabia
* Urban Land Cover Classification of High-Resolution Aerial Imagery Using a Relation-Enhanced Multiscale Convolutional Network
* Urban Land Cover Classification Using Optical VHR Data and the Knowledge-Based System Interimage
* Urban Land Cover/use Change Detection Using High Resolution Spot 5 And Spot 6 Images And Urban Atlas Nomenclature
* Urban Land Extraction Using VIIRS Nighttime Light Data: An Evaluation of Three Popular Methods
* Urban Land Mapping Based on Remote Sensing Time Series in the Google Earth Engine Platform: A Case Study of the Teresina-Timon Conurbation Area in Brazil
* Urban Land Surface Temperature Downscaling in Chicago: Addressing Ethnic Inequality and Gentrification
* Urban Land Surface Temperature
* Urban Land Use and Land Cover Change Analysis Using Random Forest Classification of Landsat Time Series
* Urban Land Use and Land Cover Classification Using Multisource Remote Sensing Images and Social Media Data
* Urban land use extraction from Very High Resolution remote sensing imagery using a Bayesian network
* Urban Land Use Information Extraction Using the Ultrahigh-Resolution Chinese Airborne SAR Imagery
* Urban Land Use Mapping by Combining Remote Sensing Imagery and Mobile Phone Positioning Data
* Urban Landscape Change Analysis Using Local Climate Zones and Object-Based Classification in the Salt Lake Metro Region, Utah, USA
* Urban link travel time estimation using traffic states-based data fusion
* Urban Link Travel Time Prediction Based on a Gradient Boosting Method Considering Spatiotemporal Correlations
* Urban Mapping Accuracy Enhancement in High-Rise Built-Up Areas Deployed by 3D-Orthorectification Correction from WorldView-3 and LiDAR Imageries
* Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach
* Urban Mobility Analysis
* Urban Modelling with Typological Approach. Case Study: Merida, Yucatan, Mexico
* Urban models texturing from un-calibrated photographs
* Urban monitoring using multi-temporal SAR and multi-spectral data
* Urban Monitoring Using Persistent Scatterer InSAR and Photogrammetry
* Urban Morphological Change Analysis of Dhaka City, Bangladesh, Using Space Syntax
* Urban Morphological Dynamics In Santiago (Chile): Proposing Sustainable Indicators From Remote Sensing
* Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications
* Urban Multiple Route Planning Model Using Dynamic Programming in Reinforcement Learning
* Urban Network Travel Time Prediction Based on a Probabilistic Principal Component Analysis Model of Probe Data
* Urban Nighttime Leisure Space Mapping with Nighttime Light Images and POI Data
* Urban Object Extraction From Digital Surface Model And Digital Aerial Images
* Urban object reconstruction using airborne laser elevation image and aerial image
* Urban Observatory: A Multi-Modal Imaging Platform for the Study of Dynamics in Complex Urban Systems, The
* Urban Overheating Assessment through Prediction of Surface Temperatures: A Case Study of Karachi, Pakistan
* Urban Parametric Perception. the Case Study of the Historic Centre Of Perugia
* Urban Parcel Grouping Method Based on Urban Form and Functional Connectivity Characterisation
* Urban Perception Evaluation and Street Refinement Governance Supported by Street View Visual Elements Analysis
* Urban Population Distribution Mapping with Multisource Geospatial Data Based on Zonal Strategy
* Urban Position Estimation from One Dimensional Visual Cues
* Urban procedural modeling for real-time rendering
* Urban Quality of Life: Spatial Modeling and Indexing in Athens Metropolitan Area, Greece
* Urban Radiance Field Representation with Deformable Neural Mesh Primitives
* Urban Radiance Fields
* Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features
* Urban Rain Gauge Siting Selection Based On GIS-multicriteria Analysis
* Urban Resident Travel Survey Method Based on Cellular Signaling Data
* Urban Riverway Extraction from High-Resolution SAR Image Based on Blocking Segmentation and Discontinuity Connection
* Urban Road-Traffic Commuting Dynamics Study Based on Hotspot Clustering and a New Proposed Urban Commuting Electrostatics Model, An
* Urban Road Detection In Airbone Laser Scanning Point Cloud Using Random Forest Algorithm
* Urban road extraction based on hough transform and region growing
* Urban Road Extraction from High-Resolution Optical Satellite Images
* Urban road extraction via graph cuts based probability propagation
* Urban Road Lane Number Mining from Low-Frequency Floating Car Data Based on Deep Learning
* Urban road mapping based on an end-to-end road vectorization mapping network framework
* Urban Road Net Extraction Integrating Internal Evaluation Models
* Urban Road Network Extraction Based on Fuzzy ART, Radon Transform and Morphological Operations on DSM Data
* Urban Road Network Partitioning Based on Bi-Modal Traffic Flows With Multiobjective Optimization
* Urban road traffic condition forecasting based on sparse ride-hailing service data
* Urban road travel time prediction based on gated recurrent unit using internet data
* Urban road user detection and classification using 3D wire frame models
* Urban Safety Prediction Using Context and Object Information via Double-Column Convolutional Neural Network
* Urban Scene Classification Using Features Extracted From Photogrammetric Point Clouds Acquired by UAV
* Urban Scene Extraction from Mobile Ground Based LiDAR Data
* Urban Scene LOD Vectorized Modeling From Photogrammetry Meshes
* Urban Scene Modeling: Where Vision Meets Photogrammetry and Graphics
* Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation
* Urban scene understanding based on semantic and socioeconomic features: From high-resolution remote sensing imagery to multi-source geographic datasets
* Urban scene understanding from aerial and ground LIDAR data
* Urban Scene Vectorized Modeling Based on Contour Deformation
* Urban Seismic Observatory of Catania (Italy): A Real-Time Seismic Monitoring at Urban Scale, The
* Urban Spatiotemporal Event Prediction Using Convolutional Neural Network and Road Feature Fusion Network
* Urban Sprawl Analysis and Modeling in Asmara, Eritrea
* Urban Sprawl and Adverse Impacts on Agricultural Land: A Case Study on Hyderabad, India
* Urban Sprawl and Changes in Land-Use Efficiency in the Beijing-Tianjin-Hebei Region, China from 2000 to 2020: A Spatiotemporal Analysis Using Earth Observation Data
* Urban Sprawl and COVID-19 Impact Analysis by Integrating Deep Learning with Google Earth Engine
* Urban Sprawl in Poland (2016-2021): Drivers, Wildcards, and Spatial Externalities
* Urban Street Grid Description and Verification
* Urban Structure Accessibility Modeling and Visualization for Joint Spatiotemporal Constraints
* Urban Structure of Rome Between History and Modern Times, The
* Urban Surface Biophysical Descriptors and Land Surface Temperature Variations
* Urban surface reconstruction in SAR tomography by graph-cuts
* Urban Surface Temperature Time Series Estimation at the Local Scale by Spatial-Spectral Unmixing of Satellite Observations
* Urban surveillance systems: from the laboratory to the commercial world
* Urban Thermal Characteristics of Local Climate Zones and Their Mitigation Measures across Cities in Different Climate Zones of China
* Urban Tomographic Imaging Using Polarimetric SAR Data
* Urban Tracker: Multiple object tracking in urban mixed traffic
* Urban Traffic Congestion Level Prediction Using a Fusion-Based Graph Convolutional Network
* Urban Traffic Control in Software Defined Internet of Things via a Multi-Agent Deep Reinforcement Learning Approach
* Urban traffic control structure based on hybrid Petri nets
* Urban Traffic Coulomb's Law: A New Approach for Taxi Route Recommendation
* Urban traffic flow online prediction based on multi-component attention mechanism
* Urban Traffic Flow Prediction System Using a Multifactor Pattern Recognition Model
* Urban Traffic Imaging Using Millimeter-Wave Radar
* Urban Traffic Monitoring and Analysis Using Unmanned Aerial Vehicles (UAVs): A Systematic Literature Review
* Urban traffic monitoring from aerial LIDAR data with a Two-Level Marked Point Process model
* Urban Traffic Pattern Analysis and Applications Based on Spatio-Temporal Non-Negative Matrix Factorization
* Urban Traffic Route Guidance Method With High Adaptive Learning Ability Under Diverse Traffic Scenarios
* Urban Trajectory Analytics: Day-of-Week Movement Pattern Mining Using Tensor Factorization
* Urban Transit Coordination Using an Artificial Transportation System
* Urban Tree Canopy Mapping Based on Double-Branch Convolutional Neural Network and Multi-Temporal High Spatial Resolution Satellite Imagery
* Urban Tree Classification Based on Object-Oriented Approach and Random Forest Algorithm Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery
* Urban Tree Health Classification Across Tree Species by Combining Airborne Laser Scanning and Imaging Spectroscopy
* Urban Trees, Individual Trees, Street Trees
* Urban Treetop Detection and Tree-Height Estimation from Unmanned-Aerial-Vehicle Images
* Urban tribes: Analyzing group photos from a social perspective
* Urban Vegetation Classification with NDVI Threshold Value Method With Very High Resolution (vhr) Pleiades Imagery
* Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data
* Urban Vegetation Mapping Based On The Hj-1 Ndvi Reconstrction
* Urban vehicle platoon using monocular vision: Scale factor estimation
* Urban VGI Networks as a Path for Collective Intelligence
* Urban Vision Development in Order to Monitor Wheelchair Users Based On The Yolo Algorithm
* Urban Visual Localization of Block-Wise Monocular Images with Google Street Views
* Urban Vulnerability Analysis Based on Micro-Geographic Unit with Multi-Source Data: Case Study in Urumqi, Xinjiang, China
* Urban Water Demand Simulation in Residential and Non-Residential Buildings Based on a CityGML Data Model
* Urban Water Extraction with UAV High-Resolution Remote Sensing Data Based on an Improved U-Net Model
* Urban Water Quality Assessment Based on Remote Sensing Reflectance Optical Classification
* Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data
* UrbanEvolver: Function-Aware Urban Layout Regeneration
* UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields
* Urbanisation Impact on Creation of Heat Islands in Large Cities
* Urbanization-Driven Changes in Land-Climate Dynamics: A Case Study of Haihe River Basin, China
* Urbanization analysis by mutual information based change detection between SPOT 5 panchromatic images
* Urbanization and Its Impacts on Land Surface Temperature in Colombo Metropolitan Area, Sri Lanka, from 1988 to 2016
* Urbanization and Spillover Effect for Three Megaregions in China: Evidence from DMSP/OLS Nighttime Lights
* Urbanization Effect on Regional Thermal Environment and Its Mechanisms in Arid Zone Cities: A Case Study of Urumqi
* Urbanization Effects on Vegetation and Surface Urban Heat Islands in China's Yangtze River Basin
* Urbanization Impacts on Vegetation Phenology in China
* Urbanization Intensifies the Mismatch between the Supply and Demand of Regional Ecosystem Services: A Large-Scale Case of the Yangtze River Economic Belt in China
* Urbanization Level in Chinese Counties: Imbalance Pattern and Driving Force
* Urbanization Trends Analysis Using Hybrid Modeling of Fuzzy Analytical Hierarchical Process-Cellular Automata-Markov Chain and Investigating Its Impact on Land Surface Temperature over Gharbia City, Egypt
* UrbanLF: A Comprehensive Light Field Dataset for Semantic Segmentation of Urban Scenes
* UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mapping
* UrbanWater: Integrating EPANET 2 in a PostgreSQL/PostGIS-Based Geospatial Database Management System
* Urbis Project: Identification And Characterization Of Potential Urban Development Areas As A Web-based Service, The
* URBTREE: A Tree Growth Model for the Urban Environment
* URCDC-Depth: Uncertainty Rectified Cross-Distillation With CutFlip for Monocular Depth Estimation
* Urdu handwritten text recognition: a survey
* URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement
* URHand: Universal Relightable Hands
* URIE: Universal Image Enhancement for Visual Recognition in the Wild
* URINet: Unsupervised point cloud rotation invariant representation learning via semantic and structural reasoning
* URL-based system model for web service unified ID authorization, A
* URNet: A U-Shaped Residual Network for Lightweight Image Super-Resolution
* URS: A Light-Weight Segmentation Model for Train Wheelset Monitoring
* Urvos: Unified Referring Video Object Segmentation Network with a Large-scale Benchmark
* US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC): 1-m Pixel Land Cover Class Definitions and Guidance
* US financial market forecasting using data classification with features from global markets
* US Patent and Trademark Office
* USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses?
* Usability-Based Subjective Remote Sensing Image Quality Assessment Database, A
* Usability and Functionality Assessment of an Oculus Rift in Immersive and Interactive Systems Using Voice Commands
* Usability and User Experience of Interactions on VR-PC, HoloLens 2, VR Cardboard and AR Smartphone in a Biomedical Application
* Usability Comparison of Conventional Direct Control Versus Pattern Recognition Control of Transradial Prostheses
* Usability Enhanced Thumbnail-Preserving Encryption Based on Data Hiding for JPEG Images
* Usability evaluation as part of iterative design of an in-vehicle information system
* Usability Evaluation for Drone Mission Planning in Virtual Reality
* Usability Evaluation of A 3D Map Display for Pedestrian Navigation, A
* Usability evaluation of high-level user assistance for robot mission specification
* Usability Evaluation of Multimedia Courseware (MEL-SindD)
* Usability evaluation of virtual reality interaction techniques for positioning and manoeuvring in reduced, manipulation-oriented environments
* Usability Guidelines for the Design of Robot Teleoperation: A Taxonomy
* Usability of IoT and Open Data Repositories for Analyzing Water Pollution. A Case Study in the Czech Republic
* Usability of Online Geographic Virtual Reality for Urban Planning, The
* Usability of Romanian Open Data in the Development of Tourist Applications, The
* Usability of Sunlit-Shaded Area Separation in Individual Tree Species Classification
* Usability of WebXR Visualizations in Urban Planning
* Usability Study of Continuous Biometrics Authentication, An
* Usability Study of Low-Cost Wireless Brain-Computer Interface for Cursor Control Using Online Linear Model, A
* Usability Study to Assess the IGBP Land Cover Classification for Singapore
* Usability test of game-based learning in safe-medication education for older adults
* Usability testing of an overlay to improve face capture
* Usability Testing of Face Image Capture for US Ports of Entry
* Usability, Strength and Practicality of The Upcoming Hyspiri In Detecting Maize Gray Leafy Spot in Relation to Sentinel-2 Msi, Venµs And Landsat 8 Oli Spectral Band-settings
* USAC: A Universal Framework for Random Sample Consensus
* Usage-Centered Design Approach in Design of Malaysia Sexuality Education (MSE) Courseware
* Usage-Oriented Performance Evaluation for Text Localization Algorithms
* Usage Experience and Capabilities of the VEGA-Science System
* Usage of Airborne Hyperspectral Imaging Data for Identifying Spatial Variability of Soil Nitrogen Content
* Usage of Airborne LiDAR Data and High-Resolution Remote Sensing Images in Implementing the Smart City Concept
* Usage of Geodata and Virtual Reality in The Modern Situation Visualization
* Usage of needle maps and shadows to overcome depth edges in depth map reconstruction
* Usage of Smartphone Data to Derive an Indicator for Collaborative Mobility between Individuals
* Usage of Stereo Orthoimage in GIS: Old Concept, Modern Solution
* Usage of Tls and Photogrammetry During The Restoration Process Of Spanish National Monument, The
* Usage of Vehicle Re-Identification Models for Improved Persistent Multiple Object Tracking in Wide Area Motion Imagery
* Usage Scenarios and Evaluation of Augmented Reality and Social Services for Libraries
* USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation
* USB: Ultrashort Binary Descriptor for Fast Visual Matching and Retrieval
* USC Building Systems
* USC Image Understanding Research: 1988-89
* USC Image Understanding Research: 1992-1993
* USC Image Understanding Research: 1993-1994
* USC Image Understanding Research: 1994-1995
* USC RADIUS Related Research: An Overview
* USCFormer: Unified Transformer With Semantically Contrastive Learning for Image Dehazing
* USD: Uncertainty-Based One-Phase Learning to Enhance Pseudo-Label Reliability for Semi-Supervised Object Detection
* USDN: A Unified Sample-wise Dynamic Network with Mixed-Precision and Early-Exit
* USDOT number localization and recognition from vehicle side-view NIR images
* Use-Case Study on Multi-view Hypothesis Fusion for 3D Object Classification, A
* Use-Specific Considerations for Optimising Data Quality Trade-Offs in Citizen Science: Recommendations from a Targeted Literature Review to Improve the Usability and Utility for the Calibration and Validation of Remotely Sensed Products
* Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
* Use And Optimisation Of Paid Crowdsourcing For The Collection Of Geodata
* Use and Perceptions of Pedestrian Navigation Apps: Findings from Bologna and Porto
* Use and Representation of Knowledge in Image Understanding Based on Semantic Networks
* Use and Utility of High-Level Semantic Features in Video Retrieval, The
* Use bin-ratio information for category and scene classification
* Use case visual Bag-of-Words techniques for camera based identity document classification
* Use fast R-CNN and cascade structure for face detection
* Use IRAM for rasterization
* Use Neural Networks to Determine Matching Order for Recognizing Overlapping Objects
* Use of 2-Dimensional Deformable Mesh Structures for Video Coding: I The Synthesis Problem: Mesh-Based Function Approximation and Mapping
* Use of 2-Dimensional Deformable Mesh Structures for Video Coding: II The Analysis Problem and a Region-Based Coder Employing an Active Mesh Representation
* Use of 3-Dimensional and 4-Dimensional Surface Harmonics for Rigid and Nonrigid Shape Recovery and Representation, The
* Use of 3D Building Data for Disaster Management: A 3D SDI Perspective, The
* Use of 3D Inferred Imagining for Detection of Changes in Geology in Longwall-Type Excavation Front
* Use of 3D Laser Scanning and 3D Modelling in the Realisation of an Artistic Vision; The Use of 3D Data in the Production of Large Scale Public Art in Tudor Square, Sheffield., The
* Use of 3D modeling for archeological archiving in a sensible area
* Use of 3D Models in Integrate Survey: The Church of St. Thomas of Villanova in Castel Gandolfo, The
* Use of 3D Point Clouds in Geohazards Special Issue: Current Challenges and Future Trends
* Use of 3D Scanning And Photogrammetry Techniques in the Case Study Of the Roman Theatre of Nikopolis. Surveying, Virtual Reconstruction And Restoration Study., The
* Use of 3D Technologies Within the Conservation of the Ancient Windows Of the Basilica of S. Sabina in Rome. Construction of Exhibition Stands In Carbon Composite On A Milled Structure
* Use of a class of two-dimensional functions for blocking artifacts reduction in image coding
* Use of a Computer to Design Character Recognition Logic
* Use of a Confusion Network to Detect and Correct Errors in an On-Line Handwritten Sentence Recognition System
* Use of a Dense Surface Point Distribution Model in a Three-Stage Anatomical Shape Reconstruction from Sparse Information for Computer Assisted Orthopaedic Surgery: A Preliminary Study
* Use of a Dictionary in Conjunction with a Handwritten Texts Recognizer
* Use of a Frequency-Hopping Radar for Imaging and Motion Detection Through Walls
* Use of a GPS-Derived Troposphere Model to Improve InSAR Deformation Estimates in the San Gabriel Valley, California
* Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest Sample Plots, The
* Use of a Large Image Repository to Enhance Domain Dataset for Flyer Classification
* Use of a Light UAV and Photogrammetric Techniques to Study the Evolution of a Landslide in JaÉn (Southern Spain)
* Use of a Modified Camera for the Classification of Sedimentary Rocks, The
* Use of A MODIS Satellite-Based Aridity Index to Monitor Drought Conditions in Mongolia from 2001 to 2013
* Use of a MODIS Satellite-Based Aridity Index to Monitor Drought Conditions in the Pearl River Basin from 2001 to 2021
* Use of a Monte Carlo Markov Chain Method for Snow-Depth Retrievals: A Case Study Based on Airborne Microwave Observations and Emission Modeling Experiments of Tundra Snow, The
* Use of a Multilayer Perceptron to Automate Terrain Assessment for the Needs of the Armed Forces
* Use Of A Multispectral UAV Photogrammetry For Detection And Tracking Of Forest Disturbance Dynamics
* Use of A Neural Network-Based Ocean Body Radiative Transfer Model for Aerosol Retrievals from Multi-Angle Polarimetric Measurements
* Use of a Pattern Recognition Technique for Determining Cloud Motions for Sequence of Satellite Photographs
* Use of a Portable Camera for Proximal Soil Sensing with Hyperspectral Image Data
* Use of a priori descriptions in a high-level language and management of the uncertainty in a scene recognition system
* Use of a Probabilistic Shape Model for Non-linear Registration of 3d Scattered Data
* Use of a Relational Pyramid Representation for View Classes in a CAD-to-Vision System, The
* Use of a Satellite-Based Aridity Index to Monitor Decreased Soil Water Content and Grass Growth in Grasslands of North-East Asia
* Use of a Stable Super-Resolution Generative Adversarial Network (SSRGAN) on Remote Sensing Images, The
* Use of a Syntactic Shape Analyzer for Contour Matching, The
* Use of a Tracer-Specific Deep Artificial Neural Net to Denoise Dynamic PET Images
* Use of a Wearable Mobile Laser System in Seamless Indoor 3D Mapping of a Complex Historical Site
* Use of Active Appearance Models for analysis and synthesis of naturally occurring behavior
* Use of Active Contours for the Detection of Coastlines in SAR images: A Modular Knowledge-based Framework, The
* Use of Active Deformable Models in Model-Based Robotic Visual Servoing, The
* Use of Active Shape Models For Locating Structure In Medical Images
* Use of adaptive segmentation in handwritten phrase recognition
* Use of Adaptive Still Image Descriptors for Annotation of Video Frames
* use of advanced imaging technology in welfare technology solutions: Some ethical aspects, The
* Use of Aerial Images for Regular Updates of Buildings in the Fundamental Base of Geographic Data of the Czech Republic
* Use of Aerial RGB Imagery and LIDAR in Comparing Ecological Habitats and Geomorphic Features on a Natural versus Man-Made Barrier Island, The
* Use of Affective Visual Information for Summarization of Human-Centric Videos
* Use of Affine Invariants in Locally Likely Arrangement Hashing for Camera-Based Document Image Retrieval
* Use of aggregation pheromone density for image segmentation
* Use of AHP to Prioritize Five Waste Processing Plants Locations in Krakow, The
* Use of AHP Within GIS for Destructed Areas in Damascus, Syria, The
* Use of Airborne and Mobile Laser Scanning for Modeling Railway Environments in 3D, The
* Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest
* Use of airborne video data for the characterization of tropical savannas in northern Australia: the optimal spatial resolution for remote sensing applications
* Use of ALS, Airborne CIR and ALOS AVNIR-2 data for estimating tropical forest attributes in Lao PDR
* Use of an Active Canopy Sensor Mounted on an Unmanned Aerial Vehicle to Monitor the Growth and Nitrogen Status of Winter Wheat
* Use of an Airborne Laser Scanner for Rapid Identification of Invasive Tree Species Acer negundo in Riparian Forests, The
* Use of an Enhanced Flight Vision System (EFVS) for Taxiing in Low-Visibility Environments
* Use of an Evidential Based Model for Representing Knowledge and Reasoning about Images in the VISIONS System, The
* Use of an Evolutive Base of Models in a System for Reading Printed Texts
* Use of an optical flow algorithm to quantify and correct patient motion during tomographic acquisition
* Use of Ant Colony Optimization for Finding Neighborhoods in Image Non-stationary Markov Random Field Classification
* Use of Artificial Color filtering to improve iris recognition and searching
* Use of Assisted Photogrammetry for Indoor and Outdoor Navigation Purposes
* use of attention and spatial information for rapid facial recognition in video, The
* use of Audio-Visual Description Profile in 3D video content description, The
* Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change
* Use of automated facial image analysis for measurement of emotion expression
* Use of Automatic Chinese Character Decomposition and Human Gestures for Chinese Calligraphy Robots
* Use of Automotive Radars in Video-Based Overtaking Assistance Applications, The
* Use of band ratioing for building illumination independent texture classification systems
* Use of Bi-Temporal ALS Point Clouds for Tree Removal Detection on Private Property in Racibórz, Poland
* Use of Binary Partition Tree and energy minimization for object-based classification of urban land cover
* Use of Biometric Fingerprints for On-the-Fly Digital Signing of Documents, The
* Use of blur-space for deblurring and edge-preserving noise smoothing
* Use of Boolean Functions and Local Operations for Edge-Detection in Images, The
* Use of Boolean Model for Texture Analysis of Grey Images, The
* Use of Bootstrap Samples in Quadratic Classifier Design
* Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai's Ocean-Reclaimed Lands through the SBAS-DInSAR Technique, The
* Use of C-Band and X-Band SAR with Machine Learning for Detecting Small-Scale Mining, The
* Use of C-Band Ground Penetrating Radar to Determine Backscatter Sources Within Glaciers
* Use of C-Band Scatterometer for Sea Ice Edge Identification
* Use of Captions and Other Collateral Text in Understanding Photographs
* Use of CCTV in The Emergency Response: A 3D GIS Perspective, The
* Use of character recognition and syntax in locating address paragraphs in complex documents
* Use of Characteristic View Classes for 3D Object Recognition, The
* Use of Characteristic Views as a Basis for Recognition of Three-Dimensional Objects, The
* Use of characteristic views in image classification
* Use of Coherence Measurements between EEG and EMG on Identification of the Myoclonus Locus
* Use of Collateral Text in Image Interpretation
* Use of Collateral Text in Understanding Photos in Documents
* Use of Color in Computational Vision, The
* Use of Color in Highlight Identification, The
* Use of Colorimeters to Support Remote Sensing Techniques on Asphalt Pavements, The
* Use of colour in form layout analysis
* Use of Coloured Tracers in Gas Flow Experiments for a Lagrangian Flow Analysis with Increased Tracer Density
* use of combined illumination in segmentation of orthodontic bodies, The
* Use of commercial off-the-shelf digital cameras for scientific data acquisition and scene-specific color calibration
* Use of Common Knowledge in Fuzzy Logic Approach for Vineyard Site Selection, The
* use of complex transform for extraction circular arcs and straight lines in engineering drawings, The
* Use of Compound Predicates in Split-and-Merge Segmentation
* Use of Computer-Aided Screening for Detection of Motility Mutants in Zebrafish Embryos
* Use Of Computer Vision Algorithms For Automatic Orientation Of Terrestrial Laser Scanning Data, The
* use of computer vision in monitoring weaving sections, The
* Use of Constraints for Interpreting Three-Dimensional Scenes
* Use of Context for False Alarm Reduction in SAR Automatic Target Recognition
* Use of Context in Cursive Script Recognition, The
* use of context in pattern recognition, The
* Use of Context in Video Processing
* Use of Context in Vision, The
* Use of Contextual Constraints in Recognition of Contour-Traced handprinted Characters
* Use of Continutiy in Character Recognition, A
* Use of Contour-Based DEMs for Deriving and Mapping Topographic Attributes
* Use of Convolution-Operators for Detecting Contaminants in Food Images, The
* Use of cortical filters and neural networks in a self-organising image classification system
* Use of covariance matrix images for electroencephalography signal classification for multiclass motor imagery-based brain computer interface
* Use of CT Scans and 3D Modeling as a Powerful Tool to Assist Fossil Vertebrate Taxonomy, The
* Use of Cues from Range Data for Automatic Building Modeling
* Use of Data Windows in Feature Extraction for High Dimensional PR Problems, The
* Use of Decision Support in Search and Rescue: A Systematic Literature Review, The
* Use of Decision Tree and Multiscale Texture for Classification of JERS-1 SAR Data over Tropical Forest, The
* Use of Decision Trees in Colour Feature Selection. Application to Object Recognition in Outdoor Scenes
* use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification, The
* Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution, The
* Use of DEMs Derived from TLS and HRSI Data for Landslide Feature Recognition
* Use of depth and colour eigenfaces for face recognition
* Use of Difference Fields in Processing Sensor Motion, The
* Use of Digital Pattern Recognition Techniques for Virtual Reconstruction of Eroded and Visually Complicated Archeological Geometric Patterns, The
* Use of Digital Tools for the Preservation of Architectural, Artistic and Cultural Heritage, Through Three-dimensional Scanning And Digital Manufacturing, The
* Use of Doppler Parameters for Ship Velocity Computation in SAR Images
* Use of DTMs/DSMs and Ortohimages to Support Building Extraction
* Use of Dynamic and Static Characteristics of Gait for Individual Identification, The
* Use of Eigenpictures for Optical Character Recognition, The
* Use of Emergable Watermarks as Copy Indicators for Securing Video Content
* use of entropy minimization for the solution of blind source separation problems in image analysis, The
* Use of ETM+ images to extend stem volume estimates obtained from LiDAR data
* Use of Exhaustive Micro-Data Firm Databases for Economic Geography: The Issues of Geocoding and Usability in the Case of the Amadeus Database, The
* Use of Existing Global Elevation Dataset for Absolute Orientation Of High Resolution Image Without Gcps, The
* Use of Explicit Knowledge and GIS Data for the 3D Evaluation of Remote Sensing Images
* Use of explicit knowledge for the reconstruction of 3-D object geometry
* Use of exterior contours and shape features in off-line signature verification
* use of eye movements in human-computer interaction techniques: What you look at is what you get, The
* Use of feedback strategies in the detection of events for video surveillance
* Use of Fiducials and Unsurveyed Landmarks as Geolocation Tools in Vehicular-Based Landmine Search
* Use of field reflectance data for crop mapping using airborne hyperspectral image
* Use of Figures in Literature Mining for Biomedical Digital Libraries
* Use of Fingerprint Contact Area for Biometric Identification, The
* use of first-order structuring-element libraries to design morphological filters, The
* Use of Fluorescence Sensing to Detect Nitrogen and Potassium Variability in Maize
* Use of Force Histograms for Affine-Invariant Relative Position Description, The
* Use of four surface normal approximations and optimization of light direction for robust shape reconstruction from single images
* Use of Fourier and Karhunen-Loeve Decomposition for Fast Pattern-Matching with a Large Set of Templates
* Use of Frequency Domain for Complexity Reduction of Convolutional Neural Networks
* Use of Fresnelets for Phase-Shifting Digital Hologram Compression
* use of fully polarimetric information for the fuzzy neural classification of SAR images, The
* Use of GAN to Help Networks to Detect Urban Change Accurately
* Use of Gaussian Codebooks for Residual Vector Quantizers
* Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance
* Use of generalised Procrustes analysis for the photogrammetric block adjustment by independent models
* use of genetic algorithms in morphological filter design, The
* Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications, The
* Use of Geographic Databases for Analyzing Changes in Land Cover A Case Study of the Region of Warmia and Mazury in Poland, The
* Use of Geographical Information Systems in Analyzing Vehicle Emissions: Istanbul as a Case Study
* Use of Geoinformatics for the Digitization and Visualization of Sensitive Space in the Urban Landscape: A Case Study of the Gross-Rosen Sub-Camps Systems
* Use of Geometric Algebra for 3D Modeling and Registration of Medical Data, The
* Use of Geometric and Grey-Level Models for Industrial Inspection, The
* Use of Geometric Histograms for Model-Based Object Recognition, The
* Use of Geometric Histograms for Model Based Object Recognition
* Use of Geometrical Constraints and Clustering to Determine 3D Object Pose
* Use of Geons for Generic 3-D Object Recognition, The
* Use of Geostatistics for Multi-Scale Spatial Modeling of Xylella fastidiosa subsp. pauca (Xfp) Infection with Unmanned Aerial Vehicle Image
* use of Gibbs random fields for image segmentation, The
* Use of GIS for the Application of the Phenomenological Approach To The Seismic Risk Analysis: the Case of the Italian Fortified Architecture, The
* Use of Global Context in Text Recognition, The
* Use of GNSS Tropospheric Delay Measurements for the Parameterization and Validation of WRF High-Resolution Re-Analysis over the Western Gulf of Corinth, Greece: The PaTrop Experiment
* Use of Gradient and Dual Space in Line-Drawing Interpretation, The
* Use of gradient and normal vectors for face recognition
* use of gray-level information and fitting techniques for precise measurement of corneal curvature and thickness, The
* Use of Gray Value Distribution of Run Lengths for Texture Analysis
* Use of Ground Penetrating Radar and Microwave Tomography for the Detection of Decay and Cavities in Tree Trunks, The
* Use of Grouping in Visual Object Recognition, The
* Use of Handheld Thermal Imager Data for Airborne Mapping of Fire Radiative Power and Energy and Flame Front Rate of Spread
* Use of Hidden Deletable Pixel Detection to Obtain Bias-Reduced Skeletons in Parallel Thinning, The
* Use of High-Level Knowledge for Enhanced Entry of Engineering Drawings, The
* Use of High-Pass Filters and the Inpainting Method to Clouds Removal and Their Impact on Satellite Images Classification, The
* Use of High-Quality and Common Commercial Mirrors for Scanning Close-Range Surfaces Using 3D Laser Scanners: A Laboratory Experiment
* use of high-resolution imagery for identification of urban climax forest species using traditional and rule-based classification approach, The
* Use of High-Resolution Land Cover Maps to Support the Maintenance of the NWI Geospatial Dataset: A Case Study in a Coastal New Orleans Region
* use of high-resolution satellite imagery for deriving geotechnical parameters applied to landslide susceptibility, The
* Use of High-Resolution Satellite Imagery to Determine the Status of a Large-Scale Outbreak of Southern Pine Beetle, The
* Use of Historical Aerial Images for 3d Modelling of Glaciers in the Province of Trento
* Use of Homographies for View Synthesis, The
* Use of Hybrid Models to Recover Cardiac Wall Motion in Tagged MR Images, The
* Use of Hyperion for Mangrove Forest Carbon Stock Assessment in Bhitarkanika Forest Reserve: A Contribution Towards Blue Carbon Initiative
* Use of hyperspectral imaging for cake moisture and hardness prediction
* Use of ICEsat-2 and Sentinel-2 Open Data for the Derivation of Bathymetry in Shallow Waters: Case Studies in Sardinia and in the Venice Lagoon
* Use of ICTs to Support Social Participation in the Planning, Design and Maintenance of Public Spaces in Latin America, The
* Use of IFS Codes for Learning 2D Isolated-Object Classification Systems
* Use Of Image Based Modelling For Documentation Of Intricately Shaped Objects
* Use of Image Smoothness Estimates in Speeding Up Fractal Image Compression, The
* Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
* Use of Images Obtained by Remotely Piloted Aircraft and Random Forest for the Detection of Leaf Miner (Leucoptera coffeella) in Newly Planted Coffee Trees
* use of imaging and non-imaging Spectroscopy for the determination of stress phenomena of beech trees, The
* Use of Imaging Techniques as a Support for the Preventive Conservation Strategy of Wall Paintings: Application to the Medieval Decors of the Château de Germolles
* use of IMUs for video object retrieval in lightweight devices, The
* Use of In Situ and Airborne Multiangle Data to Assess MODIS- and Landsat-Based Estimates of Directional Reflectance and Albedo
* Use of Incremental Curvature for Describing and Analyzing Two-Dimensional Shape
* Use of Independent Component Analysis to Reduce Motion Artifact in Pulse Transit Time Measurement
* Use of Infrared Satellite Observations for the Surface Temperature Retrieval over Land in a NWP Context
* Use of InSAR Phase Coherence Analyses for the Monitoring of Aeolian Erosion, The
* Use of Intensity-Based Measures to Produce Image Function Metrics Which Accommodate Weber's Models of Perception, The
* Use of Intensity-Hue-Saturation Transformation for Producing Color Shaded Relief Images, The
* Use of Intensity-Hue-Saturation Transformation of Landsat-5 Thematic Mapper Data for Burned Land Mapping, The
* Use of Intent Information in Conflict Detection and Resolution Models Based on Dynamic Velocity Obstacles, The
* Use of Interactive Virtual BIM to Boost Virtual Tourism in Heritage Sites, Historic Jeddah, The
* Use of Interpolation Methods for Nonlinear Mapping, The
* Use of Invariants for Recognition of Three-Dimensional Color Textures
* use of kernel principal component analysis to model data distributions, The
* Use of Land Cover Indices for Rapid Surface Urban Heat Island Detection from Multi-Temporal Landsat Imageries, The
* Use of Landsat 8 and UAV Images to Assess Changes in Temperature and Evapotranspiration by Economic Trees following Foliar Spraying with Light-Reflecting Compounds
* Use of Landsat and Corona data for mapping forest cover change from the mid-1960s to 2000s: Case studies from the Eastern United States and Central Brazil
* Use of Landsat and SRTM Data to Detect Broad-Scale Biodiversity Patterns in Northwestern Amazonia
* Use of Landsat Imagery Time-Series and Random Forests Classifier to Reconstruct Eelgrass Bed Distribution Maps in Eeyou Istchee
* Use of Landsat Satellite Images in the Assessment of the Variability in Ice Cover on Polish Lakes
* use of Landsat time series for identification of forest degradation levels in the eastern Brazilian Amazon (Paragominas), The
* Use of Landscape Metrics and Transfer Learning to Explore Urban Villages in China, The
* Use of leaf color images to identify nitrogen and potassium deficient tomatoes
* Use of learning classifier systems in microscopic toll plaza simulation models
* Use of Legal Amount to Confirm or Correct the Courtesy Amount on Farsi Bank Checks
* Use of Lexico-Syntactic Patterns for the Evaluation of Taxonomic Relations
* Use of Lexicon Density in Evaluating Word Recognizers
* Use of LiDAR-Derived DEM in Flood Applications: A Review, The
* Use Of LIDAR and Volunteered Geographic Information To Map Flood Extents And Inundation, The
* Use of Line Spectral Frequencies for Emotion Recognition from Speech
* use of linked line segments for cluster representation and data reduction, The
* Use of Local Surface Curvature Estimation for Adaptive Vision System Based on Active Light Projection
* Use of Log Polar Space for Foveation and Feature Recognition
* use of Lorentzian distance metric in classification problems, The
* Use of Low-Cost FM-CW Radar Sensors in Navigation, The
* Use of LUCAS LC Point Database for Validating Country-Scale Land Cover Maps
* Use of Machine Learning Algorithms in Urban Tree Species Classification, The
* Use of Machine Learning Methods to Detect Defects in Images of Metal Structures, The
* Use of Machine Learning Techniques for Rapid Detection, Assessment And Mapping The Impact of Disasters On Transport Infrastructure
* Use of Machine Learning to Improve the Robustness of Spatial Estimation of Evapotranspiration
* Use of Mamdani Fuzzy Algorithm for Multi-Hazard Susceptibility Assessment in a Developing Urban Settlement (Mamak, Ankara, Turkey)
* Use of Markov Random Fields as Models of Texture, The
* Use of Markov Random Fields for automatic cloud/shadow detection on high resolution optical images
* Use of Massive Deformation Datasets for the Analysis of Spatial and Temporal Evolution of Mauna Loa Volcano (Hawai'i), The
* Use of matrix polar decomposition for illumination-tolerant face recognition in discrete cosine transform domain
* Use of Maximum-Likelihood Estimation for Forming Images of Diffuse Radar-Targets from Delay-Doppler Data, The
* Use of Maximum Curvature Points for the Recognition of Partially Occluded Objects, The
* Use of Measurements from an Imaging Sensor for Precision Target Tracking
* Use of medial axis transforms for computing normals at boundary points
* Use of Median String for Classification
* Use of Miniature Thermal Cameras for Detection of Physiological Stress in Conifers
* Use of Mixed-Realities Techniques for the Representation of Islamic Cultural Heritage, The
* Use of Mobile EEG in Decoding Hand Movement Speed and Position
* Use of Mobile Laser Scanning Data and Unmanned Aerial Vehicle Images for 3D Model Reconstruction, The
* Use of Models in Studying Macrophage Cell Images and the Underlying Biological Processes
* Use of Modis Data To Define Natural Boundaries and Regions In The Marine Water Column, The
* Use of MODIS Images to Quantify the Radiation and Energy Balances in the Brazilian Pantanal
* Use of Moiré Patterns in Camera Position Estimation
* Use of Monocular Groupings and Occlusion Analysis in a Hierarchical Stereo System
* Use of Moon Observations for Characterization of Sentinel-3B Ocean and Land Color Instrument
* Use of morphological image processing techniques for the measurement of a fetal head from ultrasound images
* Use of Motion Estimation to Improve Video Watermarking for MPEG Encoders
* Use of Motion Information in Super-Resolution Mosaicing
* Use of Motion Statistics for Vanishing Point Estimation in Camera-Mirror Scenes
* Use of multi-annual MODIS Land Surface Temperature data for the characterization of the heat requirements for grapevine varieties
* Use of Multi-Rotor Unmanned Aerial Vehicles for Radioactive Source Search
* Use of Multi-Seasonal Satellite Images to Predict SOC from Cultivated Lands in a Montane Ecosystem
* Use of Multi-Temporal Landsat Imageries in Detecting Seasonal Crop Abandonment, The
* Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake
* Use of multi-temporal satellite data for monitoring pool surface areas occurring in non-perennial rivers in semi-arid environments of the Western Cape, South Africa
* Use of Multi-temporal Sentinel Satellites in The Analysis of Land Cover/land Use Changes Caused By The Nuclear Power Plant Construction, The
* Use of Multiplatform SAR Imagery in Mining Deformation Monitoring with Dense Vegetation Coverage: A Case Study in the Fengfeng Mining Area, China
* Use of Multiple Cameras and Geometric Constraints for 3-D Measurement, The
* Use of Multiple Contexts for Real Time Face Identification
* Use Of Multiple Data Sources In The Process Of Topographic Maps Updating, The
* Use of Multiple Difference-of-Gaussian Filters to Verify Geometric Models
* Use of Multiple Measurements in Taxonomic Problems, The
* Use of Multiresolution Wavelet Feature Pyramids for Automatic Registration of Multisensor Imagery
* Use of Multisensor Data for Robotic Applications, The
* Use of Multispectral Airborne Images to Improve In-Season Nitrogen Management, Predict Grain Yield and Estimate Economic Return of Maize in Irrigated High Yielding Environments
* Use of Multivariate Machine Learning Analysis Techniques for Flood Risk Prevention
* Use of Nadir and Oblique UAV Images for Building Knowledge, The
* Use of National CORS Networks for Determining Temporal Mass Variations within the Earth's System and for Improving GRACE/GRACE-FO Solutions, The
* Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy
* Use of Neumann series decomposition to fit the Weighted Euclidean distance and Inner product scoring models in automatic speaker recognition
* Use of Neural Networks for Automatic Classification From High-Resolution Images
* Use of Neural Networks for Behaviour Understanding in Railway Transport Monitoring Applications
* Use of Neural Networks in Automatic Caricature Generation: An Approach Based on Drawing Style Capture
* Use of Neural Networks to Estimate the Number of Nodes of an Edge Quadtree
* Use of New Technologies in The Restoration and Conservation Of Built Cultural Heritage/ The Case of The Statue of Fouara, Setif, Algeria, The
* Use of NIRS in Wild Rodents' Research: A Review of Timid Beginnings
* Use of Nonlinear Principal Component Analysis and Vector Quantization for Image Coding
* Use of Normal Tissue Context in Computer-Aided Detection of Masses in Mammograms
* Use of Nuclear Texture Parameters in the Automatic Analysis of Leukocytes, The
* Use of Numerical Relational Distance and Symbolic Differences for Organizing Models and for Matching, The
* Use of Objects' Faces in Interpreting Line Drawings, The
* Use of Oblique RGB Imagery and Apparent Surface Area of Plants for Early Estimation of Above-Ground Corn Biomass
* use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound, The
* Use of Optical-Flow for the Analysis of Nonrigid Motions, The
* Use of Optical Flow for the Autonomous Navigation, The
* Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination
* Use of Perceptual Organization in the Prediction of Geometric Structures, The
* Use of phase diversity and modified phase congruence for edge enhancement in ultrasonic imaging
* Use of Photogrammetry to Construct Time Series of Vegetation Permeability to Water and Seed Transport in Agricultural Waterways, The
* Use of physics based models in hyperspectral image exploitation
* Use of power law models in detecting region of interest
* Use of PPGIS: Towards Reaching a Meaningful Public Participation in Spatial Planning, The
* Use of Pre-interleaving for Video Streaming Over Wireless Access Networks
* Use of Proper Orthogonal Decomposition for Extraction of Ocean Surface Wave Fields from X-Band Radar Measurements of the Sea Surface
* Use of Quadrature Filters for Detection of Stellate Lesions in Mammograms
* Use of Quadtrees for Edge Enhancement
* Use of Radarsat-2 and Landsat TM Images for Spatial Parameterization of Manning's Roughness Coefficient in Hydraulic Modeling
* Use of radial basis function network with discrete wavelet transform for speech enhancement
* Use of random graph parsing for scene labelling by probabilistic relaxation
* Use of random time-intervals (RTIs) generation for biometric verification
* Use of Range and Reflectance Data to Find Planar Surface Regions
* Use of Reality Models in Augmented Reality Applications, The
* Use of Remote Sensing-Based ET Estimates to Improve Global Hydrological Simulations in the Community Land Model Version 5.0, The
* Use of Remote Sensing and Biogeochemical Modeling to Simulate the Impact of Climatic and Anthropogenic Factors on Forest Carbon Fluxes
* Use of remote sensing and geographic information tools for irrigation management of citrus trees
* Use of remote sensing in understanding spring pheneology over the forest dominant natural subregions of Alberta
* Use of Remote Sensing Technique to Predict Gross Domestic Product (GDP): An Analysis of Built-Up Index and GDP in Nine Major Cities in Canada, The
* Use of Remote Sensing Techniques to Estimate Plant Diversity within Ecological Networks: A Worked Example
* Use of Remote Sensing to Quantitatively Assess the Visual Effect of Urban Landscape-A Case Study of Zhengzhou, China, The
* Use of remote sensing to screen earthen levees
* Use of remote sensing to validate electro-optic prediction models
* Use of Remote Sensing, Geophysical Techniques and Archaeological Excavations to Define the Roman Amphitheater of Torreparedones (Córdoba, Spain)
* Use of Remotely Piloted Aircraft System Multispectral Data to Evaluate the Effects of Prescribed Burnings on Three Macrohabitats of Pantanal, Brazil
* Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods, The
* Use of Remotely Sensed Data for the Evaluation of Inter-Row Cover Intensity in Vineyards
* Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia
* Use of Remotely Sensed Rainfall for Managing Drought Risk: A Case Study of Weather Index Insurance in Zambia, The
* Use of Residuals in Image Denoising, The
* Use of RGB Vegetation Indexes in Assessing Early Effects of Verticillium Wilt of Olive in Asymptomatic Plants in High and Low Fertility Scenarios
* Use of ridge regression for improved estimation of kinetic constants from PET data
* use of Roentgen stereophotogrammetry to study micromotion of orthopaedic implants, The
* Use of Saliency in Underwater Computer Vision: A Review, The
* Use of Salient Features for the Design of a Multistage Framework to Extract Roads From High-Resolution Multispectral Satellite Images
* Use of SAR and Optical Time Series for Tropical Forest Disturbance Mapping
* Use of SAR Data for Detecting Floodwater in Urban and Agricultural Areas: The Role of the Interferometric Coherence
* Use of SAR Offset Tracking for Detecting Sand Dune Movement in Sudan, The
* Use of Satellite Data to Determine the Changes of Hydrodynamic Parameters in the Gulf of Gdansk via EcoFish Model, The
* Use Of Satellite Imagery To Guide Field Plot Sampling Scheme For Biomass Estimation In Ghanaian Forest, The
* Use of Satellite Radar Bistatic Measurements for Crop Monitoring: A Simulation Study on Corn Fields
* Use of Satellite SAR for Understanding Long-Term Human Occupation Dynamics in the Monsoonal Semi-Arid Plains of North Gujarat, India
* Use of Segmentation and Shape Recognition Techniques in Synthetic Aperture Radar Images, The
* Use of Semantic and Physical Constraints in Bayesian Networks for Form Recognition
* Use of Semantic Human Description as a Soft Biometric, The
* Use of Semivariograms to Identify Earthquake Damage in an Urban Area
* Use of Sentinel-1 Multi-Configuration and Multi-Temporal Series for Monitoring Parameters of Winter Wheat
* Use of Sentinel-1 Synthetic Aperture Radar (SAR) Images and Open-Source Software for Cultural Heritage: An Example from Paphos Area in Cyprus for Mapping Landscape Changes after a 5.6 Magnitude Earthquake, The
* Use of Sentinel-1 Time-Series Data to Improve Flood Monitoring in Arid Areas, The
* Use of Sentinel-2 Data to Improve Multivariate Tree Species Composition in a Forest Resource Inventory
* Use of Sentinel-2 for Chlorophyll-a Spatial Dynamics Assessment: A Comparative Study on Different Lakes in Northern Germany, The
* Use of Sentinel-2 Satellite Data for Windthrows Monitoring and Delimiting: The Case of Vaia Storm in Friuli Venezia Giulia Region (North-Eastern Italy)
* Use of Sentinel-2 Time-Series Images for Classification and Uncertainty Analysis of Inherent Biophysical Property: Case of Soil Texture Mapping
* Use of Sentinel-3 Altimetry Data to Assess Wind Speed from the Weather Research and Forecasting (WRF) Model: Application over the Gulf of Cadiz, The
* Use of Sentinel-3/OLCI for Monitoring the Water Quality and Optical Water Types in the Largest Portuguese Reservoir, The
* Use of Sentinel 1/2 Vegetation Indexes with Gee Time Series Data In Detecting Land Cover Changes in the Sinop Nuclear Power Plant Construction Site, The
* Use of shadows for detection of earthquake-induced collapsed buildings in high-resolution satellite imagery
* Use of Shadows for Extracting Buildings in Aerial Images
* Use of simplex search in active shape models for improved boundary segmentation
* use of single-date MODIS imagery for estimating large-scale urban impervious surface fraction with spectral mixture analysis and machine learning techniques, The
* Use of Size Functions for Comparison of Shapes Through Differential Invariants, The
* Use of Skeletons for Recognition and Representation
* Use of SLSTR Sea Surface Temperature Data in OSTIA as a Reference Sensor: Implementation and Validation
* Use of SMAP-Reflectometry in Science Applications: Calibration and Capabilities, The
* Use of SMAP Soil Moisture and Fitting Methods in Improving GPM Estimation in Near Real Time
* Use of SMOS L3 Soil Moisture Data: Validation and Drought Assessment for Pernambuco State, Northeast Brazil
* Use of Social Interaction and Intention to Improve Motion Prediction Within Automated Vehicle Framework: A Review
* Use of Social Media for the Detection and Analysis of Infectious Diseases in China
* Use of Soil-Landscape Relationships Modelling and Geotechnologies for Detailing the Soil Map Of Distrito Federal in Brazil, The
* Use of space filling curves in fast encoding of VQ images
* Use of Sparse Representation for Pedestrian Detection in Thermal Images
* Use of Spatial Interpolation to Improve the Quality of Corn Silage Data in Case of Presence of Extreme or Missing Values, The
* Use of Spatial Reference Systems in Interactive Object Recognition
* Use of Spatially Random Base Stations in Cloud Radio Access Networks, The
* Use of spatio-temporal modeling for age invariant face recognition
* Use of Spectral and Textural Features in Crop Type Mapping Using Sentinel-2a Images: a Case Study, Çukurova Region, Turkey, The
* Use of spectroscopy for assessment of color discrimination in animal vision
* Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations
* Use of stereo-matching to coregister multiangle data from MISR
* use of stereo and motion in a generic object-based coder, The
* Use of Stereoscopic Satellite Images to Map Rills and Ephemeral Gullies, The
* Use of stochastic grammars for hypnogram analysis
* Use of Structured Pattern Representations for Combining Classifiers
* Use of Sub-Aperture Decomposition for Supervised PolSAR Classification in Urban Area
* Use of Sub-Ensembles and Multi-Template Observers to Evaluate Detection Task Performance for Data That are Not Multivariate Normal
* use of suitable pseudo-invariant targets for MIVIS data calibration by the empirical line method, The
* Use of Sun-Induced Chlorophyll Fluorescence Obtained by OCO-2 and GOME-2 for GPP Estimates of the Heihe River Basin, China
* use of super-resolution techniques to reduce slice thickness in functional MRI, The
* Use of Superspheroids as Surrogates for Modeling Electromagnetic Wave Scattering by Ice Crystals, The
* Use of Surveillance Cameras for the Rapid Mapping of Lava Flows: An Application to Mount Etna Volcano, The
* Use of Symmetry Chords for Expressing Grey Level Constraints, The
* Use of Synthesized Images to Evaluate the Performance of Optical Character Recognition Devices and Algorithms, The
* Use of synthetic bands derived from mixing models in the multispectral classification of remote sensing images
* Use of TanDEM-X and SRTM-C Data for Detection of Deforestation Caused by Bark Beetle in Central European Mountains
* Use of Temporal Information in Food Image Analysis, The
* use of temporal, semantic and visual partitioning model for efficient near-duplicate keyframe detection in large scale news corpus, The
* Use of Tencent Street View Imagery for Visual Perception of Streets
* Use of Terrestrial Laser Scanning Techniques to Evaluate Industrial Masonry Chimney Verticality, The
* Use of Texture Concept and Parametric Imaging Concept for Biomedical Image Segmentation
* Use of Texture Operators in Image Segmentation
* Use of the angle information in the wavelet transform maxima for image de-noising
* Use of the Area Under the ROC Curve in the Evaluation of Machine Learning Algorithms, The
* Use of the Bradley-Terry Model to Quantify Association in Remotely Sensed Images
* Use of the CORINE Land Cover (CLC) Database for Analyzing Urban Sprawl, The
* Use of the Delaunay Triangulation for the Identification and the Localization of Objects
* Use of the Facet Model and the Topographic Primal Sketch in Image Analysis, The
* Use of the Gray-Level SAT to Find the Salient Cavities in Echocardiograms, The
* use of the grey level SAT to find the salient cavities in echocardiograms, The
* Use of the Hough transform for image data compression
* Use of the Hough Transform to Detect Lines and Curves in Pictures
* Use of the Hough transform to separate merged text/graphics in forms
* Use of the iPhone 13 Pro LiDAR Scanner for Inspection and Measurement in the Mineshaft Sinking Process
* Use of the NASA Giovanni Data System for Geospatial Public Health Research: Example of Weather-Influenza Connection
* Use of the novelty detection technique to identify the range of applicability of empirical ocean color algorithms
* Use of the Radon Transform As a Method of Extracting Information About Shape in Two Dimensions
* Use of the rational function model for imagery rectification
* Use of the RS decoder as an RS encoder for two-way digital communications and storage systems
* Use of the SAR Shadowing Effect for Deforestation Detection with Sentinel-1 Time Series
* Use of the Sentinel-2 and Landsat-8 Satellites for Water Quality Monitoring: An Early Warning Tool in the Mar Menor Coastal Lagoon
* Use of the Standardized Precipitation Evapotranspiration Index (SPEI) to Characterize the Drying Trend in Southwest China from 1982-2012
* Use of the surface-attribute probe for 3-D object characterization
* Use of the Two-Dimensional Radon Transform to Generate a Taxonomy of Shape for the Characterization of Abrasive Powder Particles
* Use of Thermal Point Cloud for Thermal Comfort Measurement and Human Pose Estimation in Robotic Monitoring
* Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory, The
* Use of Three-Dimensional Gaussian Interpolation in the Projector/Backprojector Pair of Iterative Reconstruction for Compensation of Known Rigid-Body Motion in SPECT
* Use of Time-Series NDWI to Monitor Emerging Archaeological Sites: Case Studies from Iraqi Artificial Reservoirs
* use of tongue protrusion gestures for video-based communication, The
* Use of Topographic Information to Improve a Land Cover Classification Image: Preliminary Results
* Use of trajectory and spatiotemporal features for retrieval of videos with a prominent moving foreground object
* Use of UAS for Assessing Agricultural Systems in an Wetland in Tanzania in the Dry- and Wet-Season for Sustainable Agriculture and Providing Ground Truth For TERRA-SAR X Data, The
* Use of UAS for Rapid 3D Mapping in Geomatics Education, The
* Use of UAS for the Conservation of Historical Buildings in Case Of Emergencies
* Use of UAS in a High Mountain Landscape: The Case of Gran Sommetta Rock Glacier (AO)
* Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn
* Use of UAV-Photogrammetry for Quasi-Vertical Wall Surveying
* Use of UAV in Cadastral Mapping of the Czech Republic, The
* Use of UAV Mounted Sensors for Precise Detection of Bark Beetle Infestation, The
* Use of UAV Photogrammetric Data for Estimation of Biophysical Properties in Forest Stands Under Regeneration
* Use of UAV Systems for Mapping of Built-Up Area, The
* Use of ubiquitous real-time bus passenger information
* Use of Ubiquitous Technologies in Military Logistic System In Iran
* Use of Ultrasound and Computer Vision for 3D Reconstruction
* Use of Uncertainty Inflation in OSTIA to Account for Correlated Errors in Satellite-Retrieved Sea Surface Temperature Data
* Use of uncertainty quantification as a surrogate for layer segmentation error in Stargardt disease retinal OCT images
* Use of Unmanned Aerial Systems in Marine Mammal Research, The
* Use of Unmanned Aerial Systems to Map Intertidal Sediment, The
* Use of Unmanned Aerial Vehicles (UAVs) for Updating Farmland Cadastral Data in Areas Subject to Landslides
* Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest Vegetation on Petroleum Well Sites
* Use of Unmanned Aerial Vehicles to Determine Differences in Vegetation Cover: A Tool for Monitoring Coastal Wetland Restoration Schemes, The
* Use of Unmanned Aerial Vehicles to Estimate Direct Tangible Losses to Residential Properties from Flood Events: A Case Study of Cockermouth Following the Desmond Storm, The
* Use of Unoccupied Aerial Systems to Characterize Woody Vegetation across Silvopastoral Systems in Ecuador
* Use of USV to Develop Navigational and Bathymetric Charts of Yacht Ports on the Example of National Sailing Centre in Gdansk, The
* Use of Vanishing Point for the Classification of Reflections From Foreground Mask in Videos, The
* Use of Variance and Entropic Thresholding Methods for Image Segmentation, The
* Use of Vertical Aerial Images for Semi-oblique Mapping
* Use of Very High-Resolution Airborne Images to Analyse 3D Canopy Architecture of a Vineyard
* Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal
* Use of Very High Spatial Resolution Imagery for Mapping Wood Energy Potential From Tropical Managed Forest Stands, Reunion Island
* Use of Viewpoint Information for Example Selection in CBIR
* Use of Virtual and Augmented Reality to Prevent the Physical Effects Caused by Diabetes Melitus Type 2: An Integrative Review, The
* Use of Virtual Reality to Promote Sustainable Tourism: A Case Study of Wooden Churches Historical Monuments from Romania, The
* Use of Vis-NIR-SWIR Spectroscopy and X-ray Fluorescence in the Development of Predictive Models: A Step forward in the Quantification of Nitrogen, Total Organic Carbon and Humic Fractions in Ferralsols, The
* use of visual search for knowledge gathering in image decision support, The
* use of watermarks in the protection of digital multimedia products, The
* Use of Wavelet-Based Denoising Techniques to Enhance the First-Arrival Picking on Seismic Traces, The
* Use of Wavelets for Noise Detection in the Images Taken by the Analog and Digital Photogrammetric Cameras, The
* Use of WorldView-2 Along-Track Stereo Imagery to Probe a Baltic Sea Algal Spiral
* Use of X-Band Radars to Monitor Small Garbage Islands
* Use of Zoom within Active Vision, The
* Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics
* Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
* Use the Fuzzy Hough transform towards reduction of the precision/uncertainty duality
* Use Your Hand as a 3-D Mouse or Relative Orientation from Extended Sequences of Sparse Point and Line Correspondences Using the Affine Trifocal Tensor
* Use Your Head: Improving Long-Tail Video Recognition
* USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation
* USEAQ: Ultra-Fast Superpixel Extraction via Adaptive Sampling From Quantized Regions
* Useful Computer Vision Techniques for Human-Robot Interaction
* Useful features for human verification in near-infrared periocular images
* Useful Geometric Properties of the Generalized Cone
* Useful information plane on pattern classification
* Usefulness of an Urban Growth Model in Creating Scenarios for City Resilience Planning: An End-User Perspective
* Usefulness of boundary sequences in computing shape features for arbitrary shaped regions
* usefulness of diffusion-weighted readout-segmented EPI and fast spin echo with BLADE (PROPELLER) k-space sampling: A comparison with single-shot EPI for diffusion-weighted imaging in ischemic stroke patients, The
* Usefulness of Global Root Zone Soil Moisture Product for Streamflow Prediction of Ungauged Basins
* Usefulness of Plane-Based Augmented Geovisualization: Case of The Crown of Polish Mountains 3D
* Usefulness of Retina Codes in Biometrics
* USeg: A Retargetable Word Segmentation Procedure for Information Retrieval
* USEQ: Ultra-fast superpixel extraction via quantization
* User's Search Behavior Graph for Aiding Personalized Web Search
* User-Action-Driven View and Rate Scalable Multiview Video Coding
* User-adaptive hand gesture recognition system with interactive training
* User-adaptive home video summarization using personal photo libraries
* User-adaptive image retrieval via fusing pointwise and pairwise labels
* User-adaptive mobile video streaming
* User-Agent Cooperation in Multiagent IVUS Image Segmentation
* User-Appropriate Viewer for High Resolution Interactive Engagement with 3D Digital Cultural Artefacts
* User-assisted archive document image analysis for digital library construction
* User-assisted image shadow removal
* User-Assisted Ink-Bleed Reduction
* User-Assisted Inverse Procedural Facade Modeling and Compressed Image Rendering
* User-assisted Object Detection by Segment Based Similarity Measures in Mobile Laser Scanner Data
* User-Aware Evaluation for Medium-Resolution Forest-Related Datasets in China: Reliability and Spatial Consistency
* User-Aware Image Tag Refinement via Ternary Semantic Analysis
* User-aware object-based video transmission over the next generation Internet
* User-based network embedding for opinion spammer detection
* User-Biased Food Recognition for Health Monitoring
* User-Calibration-Free Gaze Estimation Method Using a Binocular 3D Eye Model
* User-Centered and Analytic-Based Approaches to Generate Usable Gestures for Individuals With Quadriplegia
* User-Centered Computer Vision
* User-Centered Design for Interactive Maps: A Case Study in Crime Analysis
* User-Centered Design of an Interactive Off-Line Handwritten Architectural Floor Plan Recognition
* User-Centered Evaluation (UCE) Methods and Metrics
* User-Centered Framework for Designing Midair Gesture Interfaces, A
* User-Centered Segmentation Method for Complex Historical Manuscripts Based on Document Graphs, A
* User-Centered Visual Analytics Approach for Interactive and Explainable Energy Demand Analysis in Prosumer Scenarios
* User-Centred Design of Multidisciplinary Spatial Data Platforms for Human-History Research
* User-Centred Evaluation to Interface Design of E-Books
* User-Centred System for End-to-End Secure Multimedia Content Delivery: From Content Annotation to Consumer Consumption, A
* User-Centric Design of a Vision System for Interactive Applications
* User-Centric Environment Discovery With Camera Networks in Smart Homes
* User-centric image segmentation using an interactive parameter adaptation tool
* User-Centric Learning and Evaluation of Interactive Segmentation Systems
* User-Centric Media Retrieval Competition: The Video Browser Showdown 2012-2014, A
* User-centric QoE model of visual perception for mobile videos
* User-centric speaker report: Ranking-based effectiveness evaluation and feedback
* User-centric universal multimedia access in home networks
* User-configurable OCR enhancement for online natural history archives
* user-controlled assessment approach to perceptual quality in autostereoscopic displays for mobile gaming, A
* User-controlled simplification of polygonal models
* User-Customizable Urban Traffic Information Collection Method Based on Wireless Sensor Networks, A
* User-Defined Expected Error Rate in OCR Postprocessing by Means of Automatic Threshold Estimation
* User-defined gestural interaction: A study on gesture memorization
* User-defined ROI tracking for estimation of the myocardial blush grade
* User-Directed Analysis of Scanned Images
* User-Driven Geolocation of Untagged Desert Imagery Using Digital Elevation Models
* User-driven lossy compression for images and video
* User-driven page layout analysis of historical printed books
* User-driven saliency maps for evaluating Region-of-Interest detection
* User-Driven Sampling Model for Large-Scale Geographical Point Data Visualization via Convolutional Neural Networks, A
* User-friendly image sharing using polynomials with different primes
* User-Friendly Interactive Image Inpainting Framework Using Laplacian Coordinates, A
* User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs
* user-friendly method to geometrically calibrate projector-camera systems, A
* User-Friendly Random-Grid-Based Visual Secret Sharing
* User-friendly secret image sharing scheme with verification ability based on block truncation coding and error diffusion
* User-Friendly Simultaneous Tomographic Reconstruction and Segmentation with Class Priors
* User-Generated Accessibility in Virtual World Games
* User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey
* User-Generated Video Quality Assessment: A Subjective and Objective Study
* User-Guided Deep Human Image Matting Using Arbitrary Trimaps
* User-guided graph reduction for fast image segmentation
* User-Guided Line Art Flat Filling with Split Filling Mechanism
* User-guided pedestrian and object removal
* User-Guided Personalized Image Aesthetic Assessment Based on Deep Reinforcement Learning
* User-Guided Shape from Shading to Reconstruct Fine Details from a Single Photograph
* User-Guided Variable Rate Learned Image Compression
* User-Guided Wrapping of PDF Documents Using Graph Matching Techniques
* User-Independent and Sensor-Tolerant Wearable Activity Classifier, A
* User-Independent Gaze Estimation by Extracting Pupil Parameter and Its Mapping to the Gaze Angle
* User-independent system for sign language finger spelling recognition
* User-interactive salient object detection using YOLOv2, lazy snapping, and gabor filters
* User-Oriented Affective Video Content Analysis
* User-Oriented QoS Analysis in MPEG-2 Video Delivery
* User-Oriented Social Analysis across Social Media Sites
* User-Oriented Virtual Mobile Network Resource Management for Vehicle Communications
* User-perceived styling experience of smart vehicles: A method to combine eye tracking with semantic differences
* User-Preference-Based Charging Station Recommendation for Electric Vehicles, A
* User-Ranking Video Summarization With Multi-Stage Spatio-Temporal Representation
* User-Relevant Land Cover Products for Informed Decision-Making in the Complex Terrain of the Peruvian Andes
* User-Service Rating Prediction by Exploring Social Users' Rating Behaviors
* User-side adaptive protection of location privacy in participatory sensing
* user-specific and selective multimodal biometric fusion strategy by ranking subjects, A
* User-Specific Hand Modeling from Monocular Depth Sequences
* User-Specific Route Planning for People with Motor Disabilities: A Fuzzy Approach
* User-Steered Image Segmentation Paradigms: Live Wire and Live Lane
* User-Steered Image Segmentation Using Live Markers
* User Adaptive Clustering for Large Image Databases
* User adaptive transcoding for video teleconferencing
* User and Device Adaptation in Summarizing Sports Videos
* User assisted disparity remapping for stereo images
* User Assisted Modeling of Buildings from Aerial Images
* User Assisted Modeling of Buildings
* User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior
* User assisted stereo image segmentation
* User Association for Load Balancing in Vehicular Networks: An Online Reinforcement Learning Approach
* User Attention Based Arousal Content Modeling
* User attribute discovery with missing labels
* User Authentication based on Face Recognition with Support Vector Machines
* User authentication based on foot motion
* User Authentication Based on JPEG2000 Images
* User Authentication System Based on Speech and Cascade Hybrid Facial Feature
* User Authentication through Typing Biometrics Features
* User Authentication Using Fusion Of Face And Palmprint
* User authorization based on hand geometry without special equipment
* User Behavior Analysis Based on Stacked Autoencoder and Clustering in Complex Power Grid Environment
* User centered design of gesture-based interaction technology
* User centered image management system for digital libraries
* User Classification for Keystroke Dynamics Authentication
* User Cognition Antecedents of Smart Assistant Systems in Cars
* User Community Identification Through Fine-Grained Mobility Records for Smart City Applications
* User defined topological predicates in database systems
* User Defined Walking-In-Place Gestures for Intuitive Locomotion in Virtual Reality
* User Dependent Definition of the Information in Images and Its Use in Information Retrieval, A
* User Directed Multi-view-stereo
* User directed view synthesis on OMAP processors
* User Driven 3d Reconstruction Environment
* User driven innovation in smart displays: Lessons from the entertainment industry
* User driven sparse point-based image segmentation
* User Driven Two-Dimensional Computer-Generated Ornamentation
* User Evaluation of Map-Based Visual Analytic Tools
* User Evaluation of the RADIUS Testbed System
* User Evaluation of Thematic Maps on Operational Areas of Rescue Helicopters
* User Experience Design in Professional Map-Based Geo-Portals
* User experience in immersive TV: A research agenda
* User Experience in Using Graphical User Interfaces of Web Maps
* User Experience of Autism Social-Aid Among Autistic Children: AUTISM Social Aid Application
* User Experience of Disney Infinity, The
* User Experience of Gesture Based Interfaces: A Comparison with Traditional Interaction Methods on Pragmatic and Hedonic Qualities
* User Experience of Hurricane Visualization in an Immersive 3D Environment
* User Experience Satisfaction of Mobile-Based AR Advertising Applications
* User experience with electric vehicles while driving in a critical range situation- a qualitative approach
* User Fairness Optimization of IRS-Assisted Cooperative MISO-NOMA for ITS With SWIPT
* User Feedback, Learning in the Query, Relevance Feedback
* User Feedback, Video Indexing, Video Retrieval, Relevance Feedback
* User Friendly Open GIS Tool for Large Scale Data Assimilation: A Case Study of Hydrological Modelling
* User Generated HDR Gaming Video Streaming: Dataset, Codec Comparison, and Challenges
* User Generated Spatial Content-Integrator: Conceptual Model to Integrate Data from Diverse Sources of User Generated Spatial Content
* User Guidance for Interactive Camera Calibration
* User guided visualization for target search
* User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis
* User Identification by Observing Interactions with GUIs
* User Identification for Home Entertainment Based on Free-Air Hand Motion Signatures
* User Identity Linkage Across Social Media via Attentive Time-Aware User Modeling
* User Independent Emotion Recognition with Residual Signal-Image Network
* User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges
* User Intentions in Digital Photo Production: A Test Data Set
* User Interaction for Visual Lifelog Retrieval in a Virtual Environment
* User Interaction, Relevance Feedback, External Information
* User interactive multiple aerial view analysis for reconstructing a large number of 3D architectural models
* User interactive segmentation with partially growing random forest
* User interest profiling using tracking-free coarse gaze estimation
* User Interface Design For Acquiring Statistics From Video, A
* User interface for a system and method for head size equalization in 360 degree panoramic images
* User Interface Representation for Image Understanding
* User Interface Technologies for a Virtual Communication Space
* User Localisation for Visually-Based Human-Machine-Interaction
* User Modeling on Mobile Device Based on Facial Clustering and Object Detection in Photos and Videos
* User Movement for Safety Training in a Virtual Chemistry Lab
* User Navigation Modeling, Rate-Distortion Analysis, and End-to-End Optimization for Viewport-Driven 360° Video Streaming
* User oriented language model for face detection
* User personality prediction based on topic preference and sentiment analysis using LSTM model
* User Preferences In Image Map Using
* User Preferences on Route Instruction Types for Mobile Indoor Route Guidance
* User profiling and behavioral adaptation for HRI: A survey
* User Profiling by Combining Topic Modeling and Pointwise Mutual Information (TM-PMI)
* User Programmable Visual Inspection
* User recognition based on periocular biometrics and touch dynamics
* User Recognition From Social Behavior in Computer-Mediated Social Context
* User Recruitment System for Efficient Photo Collection in Mobile Crowdsensing
* User Selection Algorithms for MU-MIMO Systems with Coordinated Beamforming
* User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care
* User Strategies in Video Retrieval: A Case Study
* User Study Comparing 3D Modeling with Silhouettes and Google SketchUp, A
* User Study in Non-static HDR Scenes Acquisition
* user study on anonymization techniques for smart video surveillance, A
* User Study on the Capability of Three Geo-Based Features in Analyzing and Locating Trajectories, A
* User Transition Pattern Analysis for Travel Route Recommendation
* User Validation of VIIRS Satellite Imagery
* User variance and its impact on video retrieval benchmarking
* User Verification by Combining Speech and Face Biometrics in Video
* USER: Unified Semantic Enhancement With Momentum Contrast for Image-Text Retrieval
* Users' Assessment of Orthoimage Photometric Quality for Visual Interpretation of Agricultural Fields
* Users plan optimization for participatory urban texture documentation
* Users with Disabilities: Maximum Control with Minimum Effort
* USGG: Union Message Based Scene Graph Generation
* USID-Net: Unsupervised Single Image Dehazing Network via Disentangled Representations
* Using 1st Derivative Reflectance Signatures within a Remote Sensing Framework to Identify Macroalgae in Marine Environments
* Using 250-M Surface Reflectance MODIS Aqua/Terra Product to Estimate Turbidity in a Macro-Tidal Harbour: Darwin Harbour, Australia
* Using 2D Active Contour Models for 3D Reconstruction from Serial Sections
* Using 2D ARMA-GARCH for ultrasound images denoising
* Using 2D C+-strings as spatial knowledge representation for image database systems
* Using 2D Maps for 3D Localization
* Using 3-Dimensional Meshes to Combine Image-Based and Geometry-Based Constraints
* Using 3D-Bresenham for resampling structured grids
* Using 3D face priors for depth recovery
* Using 3D Features to Improve Terrain Classification
* Using 3D Line Segments for Robust and Efficient Change Detection from Multiple Noisy Images
* Using 3D Models for Real-Time Facial Feature Tracking, Pose Estimation, and Expression Monitoring
* Using 3D models for the segmentation of image sequences
* Using 3D Models for Visualizing The City as it Might be
* Using 3D Models to Recognize 2D Faces in the Wild
* Using 3D Point Clouds Derived from UAV RGB Imagery to Describe Vineyard 3D Macro-Structure
* Using 3D pose alignment tools in forensic applications of Face Recognition
* Using 3D Representations of the Nasal Region for Improved Landmarking and Expression Robust Recognition
* Using 3D Scan to Determine Human Body Segment Mass in OpenSim Model
* Using 3D scene structure to improve tracking
* Using 3D Spline Differentiation to Compute Quantitative Optical Flow
* Using 3D structural tensors in quality evaluation of stereoscopic video
* Using 3D Topological Connectivity for Ghost Particle Reduction in Flow Reconstruction
* Using 3d Webgis to Support the Disaster Simulation, Management And Analysis - Examples of Tsunami and Flood
* Using a 3D Position Sensor for Registration of Spect and US Images of the Kidney
* Using a 3d Resnet for Detecting the Presence and Severity of Covid-19 from CT Scans
* Using a Binary Diffractive Optical Element to Increase the Imaging System Depth of Field in UAV Remote Sensing Tasks
* Using a Binary Space Partitioning Tree for Reconstructing Polyhedral Building Models from Airborne Lidar Data
* Using a boosted tree classifier for text segmentation in hand-annotated documents
* Using a category to analyze an image showing a graphical representation
* Using a Color Reflection Model to Separate Highlights from Object Color
* Using a Combination of High-Frequency Coastal Radar Dataset and Satellite Imagery to Study the Patterns Involved in the Coastal Countercurrent Events in the Gulf of Cadiz
* Using a Combined Stereo/Temporal Matcher to Determine Ego-motion
* Using a Complex Network to Analyze the Effects of the Three Gorges Dam on Water Level Fluctuation in Poyang Lake
* Using a Connected Filter for Structure Estimation in Perspective Systems
* Using a Convolutional Neural Network and Mid-Infrared Spectral Images to Predict the Carbon Dioxide Content of Ship Exhaust
* Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images
* Using a Cost-Distance Time-Geographic Approach to Identify Red Deer Habitat Use in Banff National Park, Alberta, Canada
* Using a Deep Learning Algorithm to Improve the Results Obtained in the Recognition of Vessels Size and Trajectory Patterns in Shallow Areas Based on Magnetic Field Measurements Using Fluxgate Sensors
* Using a Deformable Surface Model to Obtain a Shape Representation of the Cortex
* Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision
* Using a DEM to Determine Geospatial Object Trajectories
* Using a Discrete Hidden Markov Model Kernel for lip-based biometric identification
* Using a Finite Element Method for Active Contour Models and 3-D Reconstruction from Cross Sections
* Using a flexibility constrained 3D statistical shape model for robust MRF-based segmentation
* Using a Flexible Model to Compare the Efficacy of Geographical and Temporal Contextual Information of Location-Based Social Network Data for Location Prediction
* Using a fully polarimetric SAR to detect landslide in complex surroundings: Case study of 2015 Shenzhen landslide
* Using a fuzzy framework for delineation and decomposition of Immunoglobulin G in cryo electron tomographic images
* Using a Fuzzy Inference System to Reduce False Positives in Intrusion Detection
* Using a game to evaluate image retrieval, organization, and annotation
* Using a generalised method of moment approach and 2D-generalised autoregressive conditional heteroscedasticity modelling for denoising ultrasound images
* Using a Generalized Linear Mixed Model to Study the Configuration Space of a PCA+LDA Human Face Recognition Algorithm
* Using a Geometric Formulation of Annular-Like Shape Priors for Constraining Variational Level-Sets
* Using a Groundwater Adjusted Water Balance Approach and Copulas to Evaluate Spatial Patterns and Dependence Structures in Remote Sensing Derived Evapotranspiration Products
* Using a Head-up Display-Based Steady-State Visually Evoked Potential Brain: Computer Interface to Control a Simulated Vehicle
* Using a Hidden Markov Model for Improving the Spatial-Temporal Consistency of Time Series Land Cover Classification
* Using a hierarchical approach to avoid over-fitting in early vision
* Using a High-Fidelity Simulation Framework for Performance Singularity
* Using a Kalman Filter to Assimilate TRMM-Based Real-Time Satellite Precipitation Estimates over Jinghe Basin, China
* Using a Lidar-Based Height Variability Method for Recognizing and Analyzing Fault Displacement and Related Fossil Mass Movement in the Vipava Valley, SW Slovenia
* Using a Linear Subspace Approach for Invariant Subpixel Material Identification in Airborne Hyperspectral Imagery
* Using a Markov Network to Recognize People in Consumer Images
* Using a Micro-UAV for Ultra-High Resolution Multi-sensor Observations Of Antarctic Moss Beds
* Using a Mixed Wave-Diffusion Process to Elicit the Symmetry Set
* Using a MODIS Index to Quantify MODIS-AVHRRs Spectral Differences in the Visible Band
* Using a Movable RFID Antenna to Automatically Determine the Position and Orientation of Objects on a Tabletop
* Using a Moving Antenna to Improve GNSS/INS Integration Performance Under Low-Dynamic Scenarios
* Using a MRF-BP model with color adaptive training for underwater color restoration
* Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition
* Using a Multibeam Echosounder to Monitor an Artificial Reef
* Using a Multiobjective Genetic Algorithm to Design Satellite Constellations for Recovering Earth System Mass Change
* Using a New Search Strategy to Improve the Performance of N-FINDR Algorithm for End-Member Determination
* Using a novel clumpiness measure to unite data with metadata: Finding common sequence patterns in immune receptor germline V genes
* Using a One-Dimensional Convolutional Neural Network on Visible and Near-Infrared Spectroscopy to Improve Soil Phosphorus Prediction in Madagascar
* Using a Panchromatic Image to Improve Hyperspectral Unmixing
* Using a partitioned dictionary for contextual post-processing of OCR-results
* Using a pictorial dictionary as a high level user interface for visual information retrieval
* Using a probabilistic source model for comparing images
* Using a Probabilistic Syllable Model to Improve Scene Text Recognition
* Using a Product Manifold distance for unsupervised action recognition
* Using a Pulse Integration Technique for Improvement of Received Signal Power in Ground Based Sar System
* Using a Raster Display for Photometric Stereo
* Using a Remote-Sensing-Based Piecewise Retrieval Algorithm to Map Chlorophyll-a Concentration in a Highland River System
* Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe
* Using a Robotic Arm for Measuring BRDFs
* Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images
* Using a Similarity Matrix Approach to Evaluate the Accuracy of Rescaled Maps
* Using a Simple Shape Measure to Improve Automatic 3D Reconstruction
* Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild
* Using a Skeleton Gait Energy Image for Pathological Gait Classification
* Using A Sliding Window Phase Matching Method for Imaging of GNSS Radio Occultation Signals
* Using a Smartphone to Measure Heart Rate Changes during Relived Happiness and Anger
* Using a Spatio-Temporal GIS Database to Monitor the Spatial Evolution of Urban Flooding Phenomena. The Case of Athens Metropolitan Area in Greece
* Using a Spectral Reflectance Model for the Illumination-Invariant Recognition of Local Image Structure
* Using a statistical shape model to extract sulcal curves on the outer cortex of the human brain
* Using a Structured World Model in Flexible Recognition of Two Dimensional Patterns
* Using a superfluid to image its own vortices
* Using a Tandem Flight Configuration between Sentinel-6 and Jason-3 to Compare SAR and Conventional Altimeters in Sea Surface Signatures of Internal Solitary Waves
* Using a Tensor Framework for the Analysis of Facial Dynamics
* Using a Topological Descriptor to Investigate Structures of Virus Particles
* Using a Two-Stage Scheme to Map Toxic Metal Distributions Based on GF-5 Satellite Hyperspectral Images at a Northern Chinese Opencast Coal Mine
* Using a UAV Thermal Infrared Camera for Monitoring Floating Marine Plastic Litter
* Using a Virtual Environment to Teach Cancer Patients, T'Ai Chi, Relaxation and Self-Imagery
* Using a Virtual Lidar Approach to Assess the Accuracy of the Volumetric Reconstruction of a Wind Turbine Wake
* Using a Virtual World to Design a Simulation Platform for Vision and Robotic Systems
* Using a Visual Discrimination Model for the Detection of Compression Artifacts in Virtual Pathology Images
* Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
* Using a wavelet-based fractal feature to improve texture discrimination on SAR images
* Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers
* Using Accurate Feature Matching for Unmanned Aerial Vehicle Ground Object Tracking
* Using Active Contours and Fourier Descriptors for Motion Tracking with Applications in MRI
* Using active contours and mathematical morphology tools for quantification of immunohistochemical images
* Using Active Illumination for Accurate Variational Space-Time Stereo
* Using Active Vision to Simplify Perception for Robot Driving
* Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems
* Using adapted Levenshtein distance for on-line signature authentication
* Using Adaptive Filter to Increase Automatic Speech Recognition Rate in a Digit Corpus
* Using adaptive neuro-fuzzy inference systems for the detection of centroblasts in microscopic images of follicular lymphoma
* Using Adaptive Run Length Smoothing Algorithm for Accurate Text Localization in Images
* Using Adaptive Tone Mapping to Enhance Edge-Preserving Color Image Automatically
* Using Adaptive Tracking to Classify and Monitor Activities in a Site
* Using Adjoint-Based Forecast Sensitivity to Observation to Evaluate a Wind Profiler Data Assimilation Strategy and the Impact of Data on Short-Term Forecasts
* Using Advanced InSAR Techniques and Machine Learning in Google Earth Engine (GEE) to Monitor Regional Black Soil Erosion: A Case Study of Yanshou County, Heilongjiang Province, Northeastern China
* Using Aerial Imagery and GIS in Automated Building Footprint Extraction and Shape Recognition for Earthquake Risk Assessment of Urban Inventories
* Using Aerial Photogrammetry to Assess Stock-Wide Marine Turtle Nesting Distribution, Abundance and Cumulative Exposure to Industrial Activity
* Using Aerosol Reflectance for Dust Detection
* Using Aesthetic and Empathetic Expressions to Motivate Desirable Lifestyle
* Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios
* Using Affine Correspondence to Estimate 3-d Facial Pose
* Using affine features for an efficient binary feature descriptor
* Using Affine Invariants on Perspective Projections of Plane Curves
* Using Affinity for Extracting Images of Moving Objects from TV-Frame Sequences
* Using Affordable Data Capturing Devices for Automatic 3D City Modelling
* Using agent-based modelling to simulate social-ecological systems across scales
* Using Airborne Laser-Scanner-Data in Forestry Management: A Novel Approach to Single Tree Delineation
* Using Airborne Laser Scanner and Path Length Distribution Model to Quantify Clumping Effect and Estimate Leaf Area Index
* Using Airborne Laser Scanner Data and CIR Orthophotos to Estimate the Stem Volume of Forest Stands
* Using Airborne Laser Scanning to Characterize Land-Use Systems in a Tropical Landscape Based on Vegetation Structural Metrics
* Using Airborne LiDAR and QuickBird Data for Modelling Urban Tree Carbon Storage and Its Distribution: A Case Study of Berlin
* Using Airborne Lidar for the Assessment of Canopy Structure Influences on CO2 Fluxes
* Using Airborne LiDAR to Map Red Alder in the Sappho Long-Term Ecosystem Productivity Study
* Using Airborne Lidar, Multispectral Imagery, and Field Inventory Data to Estimate Basal Area, Volume, and Aboveground Biomass in Heterogeneous Mixed Species Forests: A Case Study in Southern Alabama
* Using Airborne Remote Sensing To Increase Situational Awareness In Civil Protection And Humanitarian Relief: The Importance Of User Involvement
* Using Airborne Small-Footprint Laser Scanner to Assess the Quantity of Seedlings in an Uneven-Aged Spruce Forest
* Using Algebraic Functions of Views for Indexing-Based Object Recognition
* Using Alpha Shapes to Approximate Signal Strength Based Positioning Performance
* Using ALPR data to understand the vehicle use behaviour under TDM measures
* Using ALS Data to Improve Co-Registration of Photogrammetry-Based Point Cloud Data in Urban Areas
* Using an Active Shape Structural Model for Biometric Sketch Recognition
* Using an adaptive VAR Model for motion prediction in 3D hand tracking
* Using an ARIMA-GARCH Modeling Approach to Improve Subway Short-Term Ridership Forecasting Accounting for Dynamic Volatility
* Using an artificial imagination for texture retrieval
* Using an autoencoder in the design of an anomaly detector for smart manufacturing
* Using an Eigenvector Spatial Filtering-Based Spatially Varying Coefficient Model to Analyze the Spatial Heterogeneity of COVID-19 and Its Influencing Factors in Mainland China
* Using an Equivalence-Based Approach to Derive 2-D Spectrum of BiSAR Data and Implementation Into an RDA Processor
* Using an Exact Performance of Hough Transform for Image Text Segmentation
* Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3-D Medical Images
* Using an ICA Representation of High Dimensional Data for Object Recognition and Classification
* Using an ICA representation of local color histograms for object recognition
* Using an Image Retrieval System for Vision-Based Mobile Robot Localization
* Using an Image Tree to Assist Stereo Matching
* Using an Instrumented Drone to Probe Dust Devils on Oregon's Alvord Desert
* Using an Integer Least Squares Estimator to Connect Isolated InSAR Fringes in Earthquake Slip Inversion
* Using an Interpretable Machine Learning Framework to Understand the Relationship of Mobility and Reliability Indices on Truck Drivers' Route Choices
* Using An Low-cost Stereo Camera for Autonomous Navigation of Mobile Robot
* Using an MRI distortion transfer function to characterize the ghosts in motion-corrupted images
* Using an OBCD Approach and Landsat TM Data to Detect Harvesting on Nonindustrial Private Property in Upper Michigan
* Using an Optimized Chinese Address Matching Method to Develop a Geocoding Service: A Case Study of Shenzhen, China
* Using an Unmanned Aerial Vehicle-Based Digital Imaging System to Derive a 3D Point Cloud for Landslide Scarp Recognition
* Using Analogy to Cluster Hand-Drawn Sketches for Sketch-Based Educational Software
* Using Analytics in the Implementation of Vertical and Horizontal Curvature in Route Calculation
* Using Anatomic Magnetic Resonance Image Information to Enhance Visualization and Interpretation of Functional Images: A Comparison of Methods Applied to Clinical Arterial Spin Labeling Images
* Using anatomical knowledge expressed as fuzzy constraints to segment the heart in CT images
* Using and Abusing Equivariance
* Using and Improving Mapathon Data Through Hackathons
* Using Angle Densities for 3-D Recognition
* Using Angular Dispersion of Gradient Direction for Detecting Edge Ribbons
* Using Animation in Active Learning Tool to Detect Possible Attacks in Cryptographic Protocols
* Using anisotropic diffusion equations in pixon domain for image de-noising
* Using Anisotropic Diffusion of Probability Maps for Activity Detection in Block-design Functional MRI
* Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola
* Using APAR to Predict Aboveground Plant Productivity in Semi-Arid Rangelands: Spatial and Temporal Relationships Differ
* Using Apes for Interferometric SAR Imaging
* Using apparent boundary and convex hull for the shape characterization of foraminifera images
* Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China
* Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands
* Using Appearance-Based Hand Features for Dynamic RGB-D Gesture Recognition
* Using Appearance and Context for Outdoor Scene Object Classification
* Using Approximate Dynamic Programming to Maximize Regenerative Energy Utilization for Metro
* Using Approximate Models as Source of Contextual Information for Vision Processing
* Using AR Headset Camera to Track Museum Visitor Attention: Initial Development Phase
* Using Arbitrary Region Coding
* Using ArcGIS Model Builder for object-based image classification of seagrass meadows
* Using Areal Interpolation to Deal with Differing Regional Structures in International Research
* Using Artificial Intelligence to Estimate the Probability of Forest Fires in Heilongjiang, Northeast China
* Using Artificial Neural Network Ensembles With Crogging Resampling Technique to Retrieve Sea Surface Temperature From HY-2A Scanning Microwave Radiometer Data
* Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields
* Using Artificial Neural Networks for the Estimation of Subsurface Tidal Currents from High-Frequency Radar Surface Current Measurements
* Using artificial queries to evaluate image retrieval
* Using ASM in CT Data Segmentaion for Prostate Radiotherapy
* Using Association Rules as Texture Features
* Using Associative Memory Principles to Enhance Perceptual Ability of Vision Systems
* Using Atlas Prior with Graph Cut Methods for Right Ventricle Segmentation from Cardiac MRI
* Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions
* Using attention for video segmentation
* Using attribute trees to analyse auroral appearance over Canada
* Using attributed plex grammars for the generation of image and graph databases
* Using Attributes Explicitly Reflecting User Preference in a Self-Attention Network for Next POI Recommendation
* Using attributes for word spotting and recognition in polytonic greek documents
* Using Audio-Derived Affective Offset to Enhance TV Recommendation
* Using Augmented and Virtual Reality (AR/VR) to Support Safe Navigation on Inland and Coastal Water Zones
* Using Augmented Reality and Interactive Simulations to Realize Hybrid Prototypes
* Using Automatically Constructed View-Independent Relational Model in 3D Object Recognition
* Using B-spline curves for hand recognition
* Using B-Spline Model on Depth Camera Data to Predict Physical Activity Energy Expenditure of Different Levels of Human Exercise
* Using background audio change detection for segmenting video
* Using Background Knowledge in Multilayer Perceptron Learning
* Using background memory for efficient video coding
* Using Band Subset Selection For Dimensionality Reduction In Superpixel Segmentation Of Hyperspectral Imagery
* Using bandwidth aggregation to improve the performance of quality-adaptive streaming
* Using Basic Image Features for Texture Classification
* Using Bayesian Network for combining classifiers
* Using Bayesian Neural Network to Solve the Inverse Problem in Electrical Impedance Tomography
* Using Bayesian statistics and Gabor Wavelets for recognition of human faces
* Using BDS MEO and IGSO Satellite SNR Observations to Measure Soil Moisture Fluctuations Based on the Satellite Repeat Period
* Using behavior analysis algorithms to anticipate security threats before they impact mission critical operations
* Using Beltrami Framework for Orientation Diffusion in Image Processing
* Using Benford's Law Divergence and Neural Networks for Classification and Source Identification of Biometric Images
* Using Beta Rhythm From EEG to Assess Physicians' Operative Skills in Virtual Surgical Training
* Using bidimensional regression to assess face similarity
* Using Bidirectional Long Short-Term Memory Method for the Height of F2 Peak Forecasting from Ionosonde Measurements in the Australian Region
* Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences
* Using Bilinear Models for View-invariant Action and Identity Recognition
* Using binarization and hashing for efficient SIFT matching
* Using Binocular Feature Combination for Blind Quality Assessment of Stereoscopic Images
* Using Biographical Texts as Linked Data for Prosopographical Research and Applications
* Using Biologically Inspired Features for Face Processing
* Using Bivariate Gaussian Distribution Confidence Ellipses of Lightning Flashes for Efficiently Computing Reliable Large Area Density Maps
* Using Blockchain for Improved Video Integrity Verification
* Using Blood Vessels Location Information in Optic Disk Segmentation
* Using Body Movements for Running in Realistic 3D Map
* Using Boosting to Improve Oil Spill Detection in SAR Images
* Using boosting to prune bagging ensembles
* Using Boundary Conditions for Combining Multiple Descriptors in Similarity Based Queries
* Using bounded-influence M-estimators in multi-frame super-resolution reconstruction: A comparative study
* Using Bounded Diameter Minimum Spanning Trees to Build Dense Active Appearance Models
* Using Brain Imaging to Interpret Student Problem Solving
* Using brain prints as new biometric feature for human recognition
* Using Browsing to Improve Content-Based Image Retrieval
* Using building and bridge information for adapting roads to ALS data by means of network snakes
* Using Bus Tracking Data to Detect Potential Hazard Driving Zones
* Using C3D to Detect Rear Overtaking Behavior
* Using Calibrated Camera for Euclidean Path Modeling
* Using Camera Motion to Estimate Range for Robotic Parts Manipulation
* Using Canny's Criteria to Derive a Recursively Implemented Optimal Edge Detector
* Using Canopy Height Model Obtained with Dense Image Matching of Archival Photogrammetric Datasets in Area Analysis of Secondary Succession
* Using Canopy Measurements to Predict Soybean Seed Yield
* Using Cartesian Models of Faces with a Data-Driven and Integrable Fitting Framework
* Using Cartographic Documents to Provide Geoinformation on the Rights to Real Estate: Taking Poland as an Example
* Using Catastrophe Theory to Derive Trees from Images
* Using Category-based Collaborative Filtering in the Active WebMuseum
* Using Causal Scene Analysis to Direct Focus of Attention
* Using CBIR and Pathfinder Networks for Image Database Visualisation
* Using CCD Moiré Pattern Analysis to Implement Pressure-Sensitive Touch Surfaces
* Using Cell Phone Pictures of Sheet Music To Retrieve MIDI Passages
* Using Cellular Automata to Form Car Society in Vehicular Ad Hoc Networks
* Using Cellular Neural Network to See random-dot stereograms
* Using Centroid Covariance in Target Recognition
* Using Channel-Wise Attention for Deep CNN Based Real-Time Semantic Segmentation With Class-Aware Edge Information
* Using character recognition and segmentation to tell computer from humans
* Using character shape coding for information retrieval
* Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language
* Using Chou's pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifier
* Using Chromatic Information in Dense Stereo Correspondence
* Using Chromatic Information in Edge-Based Stereo Correspondence
* Using Chromaticity Distributions and Eigenspace Analysis for Pose-, Illumination- and Specularity-Invariant Recognition of 3D Objects
* Using Circular Models to Improve Music Emotion Recognition
* Using circular statistics for trajectory shape analysis
* Using Circular Symmetry and Intensity Profiles for Computer Vision Inspection
* Using citing information to understand the logical structure of document images
* Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data
* Using Class Separation for Feature Analysis and Combination of Class-Dependent Features
* Using Classifier Discrepancy for Cross-Domain Image Retrieval
* Using classifiers as heuristics to describe local structure in Active Shape Models with small training sets
* Using Climate-Sensitive 3D City Modeling to Analyze Outdoor Thermal Comfort in Urban Areas
* Using closed captions to train activity recognizers that improve video retrieval
* Using cloud shadows to infer scene structure and camera calibration
* Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy
* Using CNN with Bayesian optimization to identify cerebral micro-bleeds
* Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
* Using Co-training and Self-training in Semi-supervised Multiple Classifier Systems
* Using Coarse Label Constraint for Fine-Grained Visual Classification
* Using codebooks of fragmented connected-component contours in forensic and historic writer identification
* Using collaborative learning for image contrast enhancement
* Using collaborative recommendations to enhance sensor web's utility as a decision making tool
* Using Collinear Points to Compute Egomotion and Detect Nonrigidity
* Using Collineations to Compute Motion and Structure in an Uncalibrated Image Sequence
* Using color bin images for crowd detections
* Using Color Compatibility for Assessing Image Realism
* Using Color for Geometry-Insensitive Segmentation
* Using color histogram normalization for recovering chromatic illumination-changed images
* Using color reach histogram for object search in colour and/or depth scene
* Using color texture sparsity for facial expression recognition
* Using Color to Computer Optical Flow
* Using Color to Separate Reflection Components
* Using colour information to understand censorship cards of film archives
* Using colour local binary pattern features for face recognition
* Using Colour Templates for Target Identification and Tracking
* Using colour, texture, and hierarchial segmentation for high-resolution remote sensing
* Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image
* Using Combination of Structural, Feature and Raster Classifiers for Recognition of Hand-Printed Characters
* Using Commercial Virtual Reality Games to Prototype Serious Games and Applications
* Using Complex Gabor Filters to Detect and Localize Edges and Bars
* Using Complex Networks for Offline Handwritten Signature Characterization
* Using component features for face recognition
* Using computational models to study texture representations in the human visual system
* Using Computer Vision to Control a Reactive Computer Graphics Character in a Theater Play
* Using Computer Vision to See
* Using Concept Recognition to Annotate a Video Collection
* Using Conditional Random Field for Crowd Behavior Analysis
* Using Configuration States for the Representation and Recognition of Gesture
* Using Confusion Reject to Improve (User and) System (Cross) Learning of Gesture Commands
* Using Conic Correspondence in Two Images to Estimate the Epipolar Geometry
* Using Consensus Sequence Voting to Correct OCR Errors
* Using Constancy of Distance to Estimate Position and Displacement in Space
* Using Constraint Lines for Estimating Egomotion
* Using content-based image retrieval to automatically assess day similarity in visual lifelogs
* Using Content Analysis to Probe the Cognitive Image of Intangible Cultural Heritage Tourism: An Exploration of Chinese Social Media
* Using context from inside-out vision for improved activity recognition
* Using Context in the Global Recognition of a Set of Objects: An Optimization Approach
* Using context saliency for movie shot classification
* Using Context to Control Computer Vision Algorithms
* Using Context to Create Semantic 3d Models of Indoor Environments
* Using Contextual Cues In Understanding Urban Mental Well-being
* Using contextual information for image retrieval
* Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems
* Using Contextual Information to Set Control Parameters of a Vision Process
* Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangrove Dynamics in the Sundarbans Region
* Using Continuous Face Verification to Improve Desktop Security
* Using continuous features in the maximum entropy model
* Using contours to detect and localize junctions in natural images
* Using Convolution to Estimate the Score Function for Intractable State-Transition Models
* Using Convolutional 3D Neural Networks for User-independent continuous gesture recognition
* Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification
* Using Convolutional Neural Networks for Cloud Detection on VENnuS Images over Multiple Land-Cover Types
* Using Convolutional Neural Networks for Detection and Morphometric Analysis of Carolina Bays from Publicly Available Digital Elevation Modelss
* Using Copernicus Atmosphere Monitoring Service Products to Constrain the Aerosol Type in the Atmospheric Correction Processor MAJA
* Using Copies to Remove Sensitive Data: A Case Study on Fair Superhero Alignment Prediction
* Using Coplanar Circles to Perform Calibration-Free Planar Scene Analysis under a Perspective View
* Using CORONA Imagery to Study Land Use and Land Cover Change: A Review of Applications
* Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation
* Using Counterfactual Information for Breast Classification Diagnosis
* Using Coupled Subspace Models for Recovery of Reflectance Spectra from Airborne Images
* Using Coupled Subspace Models for Reflectance/Illumination Separation
* Using covariance matrices for unsupervised texture segmentation
* Using Crash Databases to Predict Effectiveness of New Autonomous Vehicle Maneuvers for Lane-Departure Injury Reduction
* Using Crest Lines to Guide Surface Reconstruction from Stereo
* Using cross-media correlation for scene detection in travel videos
* Using Cross-Model EgoSupervision to Learn Cooperative Basketball Intention
* Using cross-ratios to model curve data for aircraft recognition
* Using Crowdsourced Geodata for Agent-Based Indoor Evacuation Simulations
* Using Curvature Features in a Multiclassifier OCR System
* Using curved angular intra-frame prediction to improve video coding efficiency
* Using Curvelet transform for watermarking based on amplitude modulation
* Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object
* Using CYGNSS Data to Map Flood Inundation during the 2021 Extreme Precipitation in Henan Province, China
* Using CYGNSS Data to Monitor China's Flood Inundation during Typhoon and Extreme Precipitation Events in 2017
* Using Daily Nighttime Lights to Monitor Spatiotemporal Patterns of Human Lifestyle under COVID-19: The Case of Saudi Arabia
* Using data dimensionality reduction for recognition of incomplete dynamic gestures
* Using Data Mining Strategy in Qualitative Research
* Using DaVinci Technology for Digital Video Devices
* Using DDM Asymmetry Metrics for Wind Direction Retrieval From GPS Ocean-Scattered Signals in Airborne Experiments
* Using Decoupled Features for Photorealistic Style Transfer
* Using Deep 3D Features and an LSTM Based Sequence Model for Automatic Pain Detection in the Wild
* Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition
* Using deep features for video scene detection and annotation
* Using Deep Learning and Advanced Image Processing for the Automated Estimation of Tornado-Induced Treefall
* Using Deep Learning and Hough Transformations to Infer Mineralised Veins From Lidar Data Over Historic Mining Areas
* Using Deep Learning and Very-High-Resolution Imagery to Map Smallholder Field Boundaries
* Using Deep Learning Depth Maps to Improve Monocular SLAM
* Using Deep learning for image watermarking attack
* Using Deep Learning for Restoration of Precipitation Echoes in Radar Data
* Using Deep Learning Methods for Segmenting Polar Mesospheric Summer Echoes
* Using Deep Learning to Count Albatrosses from Space: Assessing Results in Light of Ground Truth Uncertainty
* Using Deep Learning to Digitize Road Arrow Markings From Lidar Point Cloud Derived Images
* Using Deep Learning to Improve Detection and Decoding Of Barcodes
* Using Deep Learning to Map Ionospheric Total Electron Content over Brazil
* Using Deep Learning to Model Elevation Differences between Radar and Laser Altimetry
* Using deep networks for drone detection
* Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods
* Using Deep Reinforcement Learning to Automate Network Configurations for Internet of Vehicles
* Using Deformable Surfaces to Segment 3-D Images and Infer Differential Structures
* Using Delayed Observations for Long-Term Vehicle Tracking in Large Environments
* Using Dempster-Shafer Theory to Fuse Multiple Information Sources in Region-Based Segmentation
* Using dendronal signatures for feature extraction and retrieval
* Using Dense 3D Reconstruction for Visual Odometry Based on Structure from Motion Techniques
* Using Dependent Regions for Object Categorization in a Generative Framework
* Using Depth-is-Positive Constraint to Recover Translational Motion
* Using depth features to retrieve monocular video shots
* Using Depth to Extend Randomised Hough Forests for Object Detection and Localisation
* Using derivatives in a longest common subsequence dissimilarity measure for time series classification
* Using Designed Structure of Visual Content to Understand Content-Browsing Behavior
* Using Detailed Independent 3d Sub-models to Improve Facial Feature Localisation and Pose Estimation
* Using DGPS trajectory to evaluate an ortho-rectification method designed for flash radar images
* Using diagonals of orthogonal projection matrices for affine invariant contour matching
* Using Diagram Generation Software to Improve Diagram Recognition: A Case Study of Music Notation
* Using Different Regression Methods to Estimate Leaf Nitrogen Content in Rice by Fusing Hyperspectral LiDAR Data and Laser-Induced Chlorophyll Fluorescence Data
* Using differential constraints to generate a 3D face model from stereo
* Using Differential Constraints to Reconstruct Complex Surfaces from Stereo
* Using Differential Geometry in R4 to Extract Typical Features in 3D Density Images
* Using Differential Geometry in R4 to Extract Typical Features in 3D Images
* Using Differential Properties for Stereo Reconstruction of Complex Surfaces
* Using diffusion equations for improving performance of wavelet-based image denoising techniques
* Using Diffusion Models for Dataset Generation: Prompt Engineering vs. Fine-tuning
* Using Digital Aerial Photogrammetry and the Random Forest Approach to Model Forest Inventory Attributes in Beech- and Spruce-dominated Central European Forests
* Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat
* Using digital photographs and object-based image analysis to estimate percent ground cover in vegetation plots
* Using Digital Photography to Track Understory Phenology in Mediterranean Cork Oak Woodlands
* Using Digital Terrestrial Photogrammetry in Cultural Heritage Case Study: The Great Wall of Gorgan in Iran
* Using Dihedral Angles for Edge Extraction in Range Data
* Using DInSAR to Separate Surface and Subsurface Features
* Using directional statistics to learn cast shadows from a multi-spectral light sources physical model
* Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data
* Using Discrete-Point LiDAR to Classify Tree Species in the Riparian Pacific Northwest, USA
* Using Discriminant Eigenfeatures for Image Retrieval
* Using Discrimination Graphs to Represent Visual Interpretations that Are Hypothetical and Ambiguous
* Using Discriminative Motion Context for Online Visual Object Tracking
* Using disparity for quality assessment of stereoscopic images
* Using Disparity Functionals for Stereo Correspondence and Surface Reconstruction
* Using distance transform based algorithms for extracting measures of the fiber network in volume images of paper
* Using distance transform to solve real-time machine vision inspection problems
* Using distance transforms to decompose 3D discrete objects
* Using Distributed Partial Memories to Improve Self-Organizing Collective Movements
* Using distributed source coding and depth image based rendering to improve interactive multiview video access
* Using diversity measures for generating error-correcting output codes in classifier ensembles
* Using diversity of errors for selecting members of a committee classifier
* Using DJI Phantom 4 Rtk Drone for Topographic Mapping of Coastal Areas
* Using Domain Knowledge in Low-Level Visual Processing to Interpret Handwritten Music: An Experiment
* Using dominant points and variants for profile extraction from chromosomes
* Using Dominant Sets for k-NN Prototype Selection
* Using Dominant Sets for Object Tracking with Freely Moving Camera
* Using Double-Layer Patch-Based Contrast for Infrared Small Target Detection
* Using double attention for text tattoo localisation
* Using down-sampling for multiscale analysis of texture images
* Using Downwelling Far- and Thermal-Infrared Hyperspectral Radiance for Cloud Phase Classification in the Antarctic
* Using Driver Control Models to Understand and Evaluate Behavioral Validity of Driving Simulators
* Using Drones to Determine Chimpanzee Absences at the Edge of Their Distribution in Western Tanzania
* Using Dual-Polarization Interferograms to Correct Atmospheric Effects for InSAR Topographic Mapping
* Using Dual Spatial Clustering Models for Urban Fringe Areas Extraction Based on Night-time Light Data: Comparison of NPP/VIIRS, Luojia 1-01, and NASA's Black Marble
* Using dynamic Bayesian network for scene modeling and anomaly detection
* Using Dynamic Programming for Minimizing the Energy of Active Contours in the Presence of Hard Constraints
* Using Dynamic Programming for Solving Variational Problems in Vision
* Using dynamic time warping of T0 contours in the evaluation of cycle-to-cycle Pitch Detection Algorithms
* Using dynamical quantization to perform split attempts in online tree regressors
* Using Dynamically Promoted Experts for Music Recommendation
* Using Ear Biometrics for Personal Recognition
* Using Early Readouts to Mediate Featural Bias in Distillation
* Using Earth Mover's Distance in the Bag-of-Visual-Words Model for Mathematical Symbol Retrieval
* Using Earth Observation for Monitoring SDG 11.3.1-Ratio of Land Consumption Rate to Population Growth Rate in Mainland China
* Using Eccentricity to Locate Ionospheric Exit Points of Magnetospheric Whistler Mode Waves
* Using Eco-Geographical Zoning Data and Crowdsourcing to Improve the Detection of Spurious Land Cover Changes
* Using Edgeconv to Improve 3d Object Detection From RGB-D Data
* Using EEG for Mental Fatigue Assessment: A Comprehensive Look Into the Current State of the Art
* Using eigen-deformations in handwritten character recognition
* Using eigencolor normalization for illumination-invariant color object recognition
* Using Eigenvalue Derivatives for Edge Detection in DT-MRI Data
* Using eigenvectors of a vector field for deriving a second directional derivative operator for color images
* Using Electrical Resistivity Tomography to Monitor the Evolution of Landslides' Safety Factors under Rainfall: A Feasibility Study Based on Numerical Simulation
* Using electroencephalography to analyze sleepiness due to low-quality audiovisual stimuli
* Using Elimination Methods to Compute Thermophysical Algebraic Invariants from Infrared Imagery
* Using encoding cost data for segmentation of compressed image sequences
* Using Enhanced Gap-Filling and Whittaker Smoothing to Reconstruct High Spatiotemporal Resolution NDVI Time Series Based on Landsat 8, Sentinel-2, and MODIS Imagery
* Using Enhanced Spherical Images for Object Representation
* Using Ensemble-Based Systems with Near-Infrared Hyperspectral Data to Estimate Seasonal Snowpack Density
* Using ensemble margin to explore issues of training data imbalance and mislabeling on large area land cover classification
* Using Environmental Context to Synthesis Missing Pixels
* Using Evolution to Learn How to Perform Interest Point Detection
* Using evolutionary algorithms for model-based clustering
* Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks
* Using Exotic Guidance for PLEIADES-HR Image Quality Calibration
* Using Expectation-Maximisation to Learn a Dynamical Model for a Tracker from Measurement Sequences
* Using Expectation-Maximisation to Learn Dynamical Models from Visual Data
* Using Expectation-Maximization for exposing image forgeries by revealing inconsistencies in shadow geometry
* Using Expert Systems for Image Understanding
* Using Explainable AI to Identify Differences Between Clinical and Experimental Pain Detection Models Based on Facial Expressions
* Using Exploratory Spatial Analysis to Understand the Patterns of Adolescents' Active Transport to School and Contributory Factors
* Using Extended EM to Segment Planar Structures in 3D
* Using Extended Light Sources for Modeling Object Appearance under Varying Illumination
* Using Extended Three-valued Increment Sign for a denoising model of high-frequency artifacts in JPEG images by estimation of specific frequency
* Using External Knowledge to Improve Zero-shot Action Recognition in Egocentric Videos
* Using Extremal Boundaries for 3-D Object Modeling
* Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving
* Using Eye-tracking to Support Big Data Driven Property Valuation Tools
* Using eye gaze, head pose, and facial expression for personalized non-player character interaction
* Using Eye Reflections for Face Recognition Under Varying Illumination
* Using Eye Region Biometrics to Reveal Affective and Cognitive States
* Using Eye Tracking to Detect the Effects of Clutter on Visual Search in Real Time
* Using Eye Tracking to Evaluate the Usability of Flow Maps
* Using Eye Tracking to Explore Differences in Map-Based Spatial Ability between Geographers and Non-Geographers
* Using Eye Tracking to Explore the Guidance and Constancy of Visual Variables in 3D Visualization
* Using Face Detection for Browsing Personal Slow Video in a Small Terminal and Worn Camera Context
* Using face morphing to protect privacy
* Using Face Quality Ratings to Improve Real-Time Face Recognition
* Using Facial Expression Recognition for Crowd Monitoring
* Using facial symmetry in the illumination cone based 3D face reconstruction
* Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition
* Using fast classification of static and dynamic environment for improving Bayesian occupancy filter (BOF) and tracking
* Using feature-vector based analysis, based on principal component analysis and independent component analysis, for analysing hyperspectral images
* Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness In Object Detection
* Using Feature Combination and Statistical Resampling for Accurate Face Recognition Based on Frequency Domain Representation of Facial Asymmetry
* Using feature points and angles between them to recognise facial expression by a neural network approach
* Using Feature Probabilities to Reduce the Expected Computational Cost of Template Matching
* Using Feature Selection For Object Segmentation and Tracking
* Using Field Interdependence to Improve Correction Performance in a Transducer-Based OCR Post-Processing System
* Using Field Spectroradiometer to Estimate the Leaf N/P Ratio of Mixed Forest in a Karst Area of Southern China: A Combined Model to Overcome Overfitting
* Using Film-Mulched Drip Irrigation to Improve the Irrigation Water Productivity of Cotton in the Tarim River Basin, Central Asia
* Using filter banks in Convolutional Neural Networks for texture classification
* Using fine-tuned conditional probabilities for data transformation of nominal attributes
* Using First- and Second-Order Variograms for Characterizing Landscape Spatial Structures From Remote Sensing Imagery
* Using Fisheye Camera for Cost-Effective Multi-View People Localization
* Using Flickr Data to Understand Image of Urban Public Spaces with a Deep Learning Model: A Case Study of the Haihe River in Tianjin
* Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities
* Using Flow Field Divergence for Obstacle Avoidance: Towards Qualitative Vision
* Using fNIRS to Verify Trust in Highly Automated Driving
* Using Focus of Attention with the Hough Transform for Accurate Line Parameter-Estimation
* Using Force Fields Derived from 3D Distance Maps for Inferring the Attitude of a 3D Rigid Object
* Using Forest Inventory Data with Landsat 8 Imagery to Map Longleaf Pine Forest Characteristics in Georgia, USA
* Using Formal Verification to Evaluate Human-Automation Interaction: A Review
* Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition
* Using Fourier local magnitude in adaptive smoothness constraints in motion estimation
* Using Fourier/Mellin-based correlators and their fractional versions in navigational tasks
* Using fractal dimension to target detection in bistatic SAR data
* Using fractal encoding for image indexing
* Using fractal interpolation over complex network modeling of deep texture representation
* Using fragile bit coincidence to improve iris recognition
* Using Free Energy Principle For Blind Image Quality Assessment
* Using Frontier Points to Recover Shape, Reflectance and Illumunation
* Using full motion 3D Flash LIDAR video for target detection, segmentation, and tracking
* Using fusion of iris code and periocular biometric for matching visible spectrum iris images captured by smart phone cameras
* Using fuzzy least squares support vector machine with metric learning for object tracking
* Using fuzzy logic to analyze superscript and subscript relations in handwritten mathematical expressions
* Using fuzzy methods to model nearest neighbor rules
* Using Gabor Filters to Measure the Physical Parameters of Lines
* Using Gait Change for Terrain Sensing by Robots
* Using Gait Features for Improving Walking People Detection
* Using Galois Theory to Prove Structure from Motion Algorithms are Optimal
* Using game engines for marine visualisation and collaboration
* Using Gaussian-Process Regression for Meta-Analytic Neuroimaging Inference Based on Sparse Observations
* Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification
* Using Gaussian Processes for Human Tracking and Action Classification
* Using Gaussian Processes to Improve Zero-Shot Learning with Relative Attributes
* Using GEDI Waveforms for Improved TanDEM-X Forest Height Mapping: A Combined SINC + Legendre Approach
* Using Gene Ontology annotations in exploratory microarray clustering to understand cancer etiology
* Using Generative Models for Handwritten Digit Recognition
* Using Generic Geometric and Physical Models For Representing Solids
* Using Generic Geometric Models for Intelligent Shape Extraction
* Using Generic Knowledge in Analysis of Aerial Scenes: A Case Study
* Using genetic algorithm optimizing stack filters based on MMSE criterion
* Using Genetic Algorithms for Solving Hard Problems in GIS
* Using Genetic Algorithms to Estimate Confidence Intervals for Missing Spatial Data
* Using Genetic Algorithms to Find Person-Specific Gabor Feature Detectors for Face Indexing and Recognition
* Using Genetic Algorithms to Improve Matching Performance of Changeable biometrics from Combining PCA and ICA Methods
* Using genetic programming on GPS trajectories for travel mode detection
* Using Geo-Data Corporately on the Response Phase of Emergency Management
* Using geo-targeted social media data to detect outdoor air pollution
* Using Geo Geo-Tagged Flickr Images to Explore the Correlation Between Land Cover Classes and the Location of Bird Observations
* Using GEOBIA and Vegetation Indices to Assess Small Urban Green Areas in Two Climatic Regions
* Using Geographic Ontologies and Geo-Characterization to Represent Geographic Scenarios
* Using Geographically Weighted Regression to Study the Seasonal Influence of Potential Risk Factors on the Incidence of HFMD on the Chinese Mainland
* Using Geomatic Techniques to Estimate Volume-Area Relationships of Watering Ponds
* Using geomatics and airborne laser scanning for rockfall risk zoning: A case study in the french alps
* Using Geomatics to Understand and Valorize Heritage, Three Different Contexts of Study: Syria, Italy, and France
* Using Geometric-Properties For Automatic Object Positioning
* Using Geometric Constraints for Matching Disparate Stereo Views of 3d Scenes Containing Planes
* Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling
* Using Geometric Constraints to Solve the Point Correspondence Problem in Fringe Projection Based 3D Measuring Systems
* Using Geometric Corners to Build a 2D Mosaic from a Set of Images
* Using Geometric Distance Fits for 3-D Object Modeling and Recognition
* Using geometric extrema for segment-to-segment characteristics comparison in online signature verification
* Using geometric hashing to repair CAD objects
* Using Geometric Hashing with Information Theoretic Clustering for Fast Recognition from a Large CAD Modelbase
* Using Geometric Information in Prototype Selection for the Nearest Neighbour Rule
* Using Geometric Interval Algebra Modeling for Improved Three-Dimensional Camera Calibration
* Using geometric processing in the visualization of ring features in tomographic images of wood
* Using Geometric Properties for Correspondence-less Image Alignment
* Using Geometric Properties of Correspondence Vectors for the Registration of Free-form Shapes
* Using Geometric Properties to Evaluate Possible Integration of Authoritative and Volunteered Geographic Information
* Using Geometrical Information for Accurate Scene Understanding in an Artificial Vision System
* Using Geometrical Rules and a Priori Knowledge for the Understanding of Indoor Scenes
* Using Geometry Invariants for Camera Response Function Estimation
* Using geometry towards stereo dense matching
* Using Geophysics to Characterize a Prehistoric Burial Mound in Romania
* Using Geospatial Analysis and Hydrologic Modeling to Estimate Climate Change Impacts on Nitrogen Export: Case Study for a Forest and Pasture Dominated Watershed in North Carolina
* Using Geostationary Satellite Observations to Improve the Monitoring of Vegetation Phenology
* Using Geotagged Social Media Data to Explore Sentiment Changes in Tourist Flow: A Spatiotemporal Analytical Framework
* Using GIS-based Multi-Criteria Decision Analysis Techniques in the Smart Cities
* Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings
* Using GIS for Determining Variations in Health Access in Jeddah City, Saudi Arabia
* Using GIS for Developing Sustainable Urban Growth Case Kyrenia Region
* Using GIS for Disease Mapping and Clustering in Jeddah, Saudi Arabia
* Using GIS to Explore the Potential of Business Rating Data to Analyse Stock and Value Change for Land Administration: A Case Study of York
* Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya
* Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential
* Using Glance Behaviour to Inform the Design of Adaptive HMI for Partially Automated Vehicles
* Using GLCM features in Haar wavelet transformed space for moving object classification
* Using global bag of features models in random fields for joint categorization and segmentation of objects
* Using Global Consistency to Recognise Euclidean Objects with an Uncalibrated Camera
* Using global information to refine local patterns for texture representation and classification
* Using GNSS-IR Snow Depth Estimation to Monitor the 2022 Early February Snowstorm over Southern China
* Using GNSS Radio Occultation Data to Monitor Tropical Atmospheric Anomalies during the January-February 2009 Sudden Stratospheric Warming Event
* Using GOES-R ABI Full-Disk Reflectance as a Calibration Source for the GOES Imager Visible Channels
* Using Google Earth Engine to Map Complex Shade-Grown Coffee Landscapes in Northern Nicaragua
* Using Google Earth Surface Metrics to Predict Plant Species Richness in a Complex Landscape
* Using GPUs for machine learning algorithms
* Using GRACE Data to Study the Impact of Snow and Rainfall on Terrestrial Water Storage in Northeast China
* Using GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic Extremes
* Using Gradient Information to Enhance the Progressive Probabilistic Hough Transform
* Using Gradient Orientation to Improve Least Squares Line Fitting
* Using Grammar-Based Recognizers for Symbol Completion in Diagrammatic Sketches
* Using Grammars for Scene Interpretation
* Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior
* Using Graph Neural Networks to Reconstruct Ancient Documents
* Using Graph Theory to Identify Aberrant Hierarchical Patterns in Parkinsonian Brain Networks
* Using Graphics Hardware for Enhancing Edge and Circle Detection
* Using graphs for statistical object models
* Using grey-level and distance information for medial surface representation of volume images
* Using Grey-Level Models to Improve Active Shape Model Search
* Using Grid Based Feature Localization for Fast Image Matching
* Using Ground-Penetrating Radar (GPR) to Investigate the Exceptionally Thick Deposits from the Storegga Tsunami in Northeastern Scotland
* Using Ground Penetrating Radar and Resistivity Methods to Locate Unmarked Graves: A Review
* Using Ground Penetrating Radar for Permafrost Monitoring from 2015-2017 at CALM Sites in the Pechora River Delta
* Using Ground Targets to Validate S-NPP VIIRS Day-Night Band Calibration
* Using group behaviors to detect Hofstede cultural dimensions
* Using Group Prior to Identify People in Consumer Images
* Using Growing-Season Time Series Coherence for Improved Peatland Mapping: Comparing the Contributions Sentinel-1 and RADARSAT-2 Coherence in Full and Partial Time Series
* Using H.264/AVC-Intra for Segmentation-Driven Compound Document Coding
* Using Hand Gesture and Speech in a Multimodal Augmented Reality Environment
* Using Handwriting Action to Construct Models of Engineering Objects
* Using Handwriting Features to Characterize Cognitive Impairment
* Using Hankel matrices for dynamics-based facial emotion recognition and pain detection
* Using Harris Corners for the Retrieval of Graphs in Historical Manuscripts
* Using Head-Mounted Displays for Virtual Reality: Investigating Subjective Reactions to Eye-Tracking Scenarios
* Using Head Movement to Recognize Activity
* Using Heritage Risk Maps as an Approach for Estimating the Climate Impact to Cultural Heritage Materials in the Island of Taiwan
* Using Heterogeneous Satellites for Passive Detection of Moving Aerial Target
* Using Hidden Markov Model for Chinese Business Card Recognition
* Using Hidden Markov Models and Dynamic Size Functions for Gesture Recognition
* Using hidden Markov models and wavelets for face recognition
* Using Hidden Markov Models as a Tool for Handwritten Text Line Segmentation
* Using Hidden Markov Models for Land Surface Phenology: An Evaluation Across a Range of Land Cover Types in Southeast Spain
* Using Hidden Markov Models for Recognizing Action Primitives in Complex Actions
* Using Hidden Nodes in Bayesian Networks
* Using Hidden Scale for Salient Object Detection
* Using Hierarchical Models for 3D Human Body-Part Tracking
* Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data
* Using High-Frequency PAR Measurements to Assess the Quality of the SIF Derived from Continuous Field Observations
* Using High-Level Semantic Features in Video Retrieval
* Using High-Level Visual Information for Color Constancy
* Using High-Performance Computing to Address the Challenge of Land Use/Land Cover Change Analysis on Spatial Big Data
* Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture
* Using High-Resolution Airborne Data to Evaluate MERIS Atmospheric Correction and Intra-Pixel Variability in Nearshore Turbid Waters
* Using High-Resolution Hyperspectral and Thermal Airborne Imagery to Assess Physiological Condition in the Context of Wheat Phenotyping
* Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass
* Using High-Spatial Resolution UAV-Derived Data to Evaluate Vegetation and Geomorphological Changes on a Dune Field Involved in a Restoration Endeavour
* Using High-Spatiotemporal Thermal Satellite ET Retrievals for Operational Water Use and Stress Monitoring in a California Vineyard
* Using High Resolution Optical Imagery to Detect Earthquake-Induced Liquefaction: The 2011 Christchurch Earthquake
* Using High Spatio-Temporal Optical Remote Sensing to Monitor Dissolved Organic Carbon in the Arctic River Yenisei
* Using Highlights to Constrain Object Size and Location
* Using histogram representation and Earth Mover's Distance as an evaluation tool for text detection
* Using Historical Archives and Landsat Imagery to Explore Changes in the Mangrove Cover of Peninsular Malaysia between 1853 and 2018
* Using HMD for Immersive Training of Voice-Based Operation of Small Unmanned Ground Vehicles
* Using Hopfield networks in the nominal color coding of classified images
* Using Hopfield networks to segment color images
* Using horizontal and vertical building structure to constrain indirect sensor orientation
* Using HSI Color Space to Improve the Multispectral Lidar Classification Error Caused by Measurement Geometry
* Using Human and Model Performance to Compare MRI Reconstructions
* Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
* Using Human Perceptual Categories for Content-Based Retrieval from a Medical Image Database
* Using Human Visual System modeling for bio-inspired low level image processing
* Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices
* Using Hypergraph Knowledge Representation for Natural Terrain Robot Navigation and Path Planning
* Using HyperLogLog to Prevent Data Retention in Social Media Streaming Data Analytics
* Using Hyperquadrics for Shape Recovery from Range Data
* Using Hyperspatial LiDAR and Multispectral Imaging to Identify Coastal Wetlands Using Gradient Boosting Methods
* Using Hyperspectral Crop Residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study
* Using Hyperspectral Imagery to Characterize Rangeland Vegetation Composition at Process-Relevant Scales
* Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes
* Using hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partition
* Using Hyperspectral Reconstruction for Multispectral Images Change Detection
* Using hyperspectral reflectance data for discrimination between healthy and diseased plants, and determination of damage-level in diseased plants
* Using Hyperspectral Remote Sensing to Monitor Water Quality in Drinking Water Reservoirs
* Using Hyperspectral Spectrometry and Functional Models to Characterize Vine-Leaf Composition
* Using iBeacons for Location-Based Tracking in Alternate Reality Games: A Pilot Study
* Using Ice Clouds for Mitigating the EarthCARE Doppler Radar Mispointing
* Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example
* Using ICT in Cultural Heritage, Bless or Mess? Stakeholders' and Practitioners' View through the eCultValue Project
* Using Ideal Images to Establish a Baseline of OCR Performance
* Using IFs and Moments to Build a Quasi Invariant Image Index
* Using Illumination Estimated from Silhouettes to Carve Surface Details on Visual Hull
* Using Illumination Invariant Color Histogram Descriptors for Recognition
* Using Image-Based Metrics to Model Pedestrian Detection Performance With Night-Vision Systems
* Using Image Features and Eye Tracking Device to Predict Human Emotions Towards Abstract Images
* Using Image Flow to Detect Eye Blinks in Color Videos
* Using Image Processing Methods to Improve the Explosive Detection Accuracy
* Using image segmentation for evaluating 3D statistical shape models built with groupwise correspondence optimization
* Using Image Segments in PicSOM CBIR System
* Using Image Sequences for Long-Term Visual Localization
* Using image signatures for place recognition
* Using Image Subtraction and Classification to Evaluate Change in Subtropical Intertidal Wetlands
* Using Image Texture and Spectral Reflectance Analysis to Detect Yellowness and Esca in Grapevines at Leaf-Level
* Using Imagery Collected by an Unmanned Aerial System to Monitor Cyanobacteria in New Hampshire, USA, Lakes
* Using Imaging Spectrometry to Study Changes in Crop Area in California's Central Valley during Drought
* Using Importance Sampling for Bayesian Feature Space Filtering
* Using Improved Edge Detection Method to Detect Mining-Induced Ground Fissures Identified by Unmanned Aerial Vehicle Remote Sensing
* Using in Vivo Bioluminescence Imaging to Shed Light on Cancer Biology
* Using in Volume Computing of Digital Close Range Photogrammetry
* Using Inactivity to Detect Unusual behavior
* Using independent component analysis and binocular combination for stereoscopic image quality assessment
* Using Independent Subspace Analysis for Selecting Filters Used in Texture Processing
* Using Index and Cumulative Overlay Analyses to Determine Geothermal Potential Targets in Damavand Region
* Using individual tree crown approach for forest volume extraction with aerial images and laser point clouds
* Using individuality to track individuals: Clustering individual trajectories in crowds using local appearance and frequency trait
* Using Information Content to Select Keypoints for UAV Image Matching
* Using Innovative Technologies in Preservation and Presentation of Endangered Archives
* Using InSAR and GPR Techniques to Detect Subsidence: Application to the Coastal Area of A Xunqueira (NW Spain)
* Using InSAR and PolSAR to Assess Ground Displacement and Building Damage after a Seismic Event: Case Study of the 2021 Baicheng Earthquake
* Using InSAR Coherence for Investigating the Interplay of Fluvial and Aeolian Features in Arid Lands: Implications for Groundwater Potential in Egypt
* Using InSAR Coherence to Map Stand Age in a Boreal Forest
* Using InSAR Time Series to Monitor Surface Fractures and Fissures in the Al-Yutamah Valley, Western Arabia
* Using Instagram Picture Features to Predict Users' Personality
* Using Intelligent Clustering to Implement Geometric Computation for Electoral Districting
* Using Inter-feature-Line Consistencies for Sequence-Based Object Recognition
* Using Intermediate Objects to Improve the Efficiency of Visual-Search
* Using Invariant Image Features for Synchronization in Spread Spectrum Image Watermarking
* Using inverse image frequency for perception-based color image quantization
* Using iris and sclera for detection and classification of contact lenses
* Using Irreducible Group Representations for Invariant 3D Shape Description
* Using irregular pyramid for text segmentation and binarization of gray scale images
* Using Isolated Landmarks and Trajectories in Robot Navigation
* Using Isometry to Classify Correct/Incorrect 3D-2D Correspondences
* Using Isovists in Measuring Surveillance and Expected Guardianship in Residential Neighborhood Property Crimes
* Using ITS to Improve the Capacity of Freeway Merging Sections by Transferring Freight Vehicles
* Using k-d trees for robust 3D point pattern matching
* Using k-nearest neighbors to handle missing weak classifiers in a boosted cascade
* Using K-NN with weights to detect diabetes mellitus based on genetic algorithm feature selection
* Using k-Poselets for Detecting People and Localizing Their Keypoints
* Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
* Using Kernels on Hierarchical Graphs in Automatic Classification of Designs
* Using Keyhole Images to Map Soil Liquefaction Induced by the 1966 Xingtai Ms 6.8 and 7.2 Earthquakes, North China
* Using keyword spotting systems as tools for the transcription of historical handwritten documents: Models and procedures for performance evaluation
* Using Kinect for face recognition under varying poses, expressions, illumination and disguise
* Using Knowledge Graphs to Analyze the Characteristics and Trends of Forest Carbon Storage Research at the Global Scale
* Using known motion fields for image separation in transparency
* Using land-vehicle steering constraint to improve the heading estimation of MEMS GPS/INS georeferencing systems
* Using Landmarks as a Deformation Prior for Hybrid Image Registration
* Using Landmarks to Establish a Point-to-Point Correspondence between Signatures
* Using Landsat-8 and Sentinel-1 data for Above Ground Biomass assessment in the Tamar valley and Dartmoor
* Using Landsat-8 Images for Quantifying Suspended Sediment Concentration in Red River (Northern Vietnam)
* Using LANDSAT 8 and VENµS Data to Study the Effect of Geodiversity on Soil Moisture Dynamics in a Semiarid Shrubland
* Using Landsat 8 Image Time Series For Crop Mapping In A Region Of Cerrado, Brazil
* Using Landsat and Sentinel-2 Data for the Generation of Continuously Updated Forest Type Information Layers in a Cross-Border Region
* Using Landsat Image Series to Identify and Characterize Persistent Oceanographic Structures in a Dynamic Marine Protected Area (North of San Jorge Gulf, Argentinian Patagonia)
* Using Landsat Imagery to Assess Burn Severity of National Forest Inventory Plots
* Using Landsat OLI and Random Forest to Assess Grassland Degradation with Aboveground Net Primary Production and Electrical Conductivity Data
* Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery
* Using Landsat Surface Reflectance Data as a Reference Target for Multiswath Hyperspectral Data Collected Over Mixed Agricultural Rangeland Areas
* Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe
* Using Landsat Vegetation Indices to Estimate Impervious Surface Fractions for European Cities
* Using Landsat, MODIS, and a Biophysical Model to Evaluate LST in Urban Centers
* Using Language-Aligned Gesture Embeddings for Understanding Gestures Accompanying Math Terms
* Using Language to Drive the Perceptual Grouping of Local Image Features
* Using Language to Learn Structured Appearance Models for Image Annotation
* Using Large-Scale Truck Trajectory Data to Explore the Location of Sustainable Urban Logistics Centres: The Case of Wuhan
* Using large color LBP in generalized hough transform
* Using Large Text To Image Models with Structured Prompts for Skin Disease Identification: A Case Study
* Using Laser Altimetry-based Segmentation to Refine Automated Tree Identification in Managed Forests of the Black Hills, South Dakota
* Using Latent Semantic Analysis to Identify Research Trends in OpenStreetMap
* Using Lateral Coupled Snakes for Modeling the Contours of Worms
* Using Lattice Topology Information to Investigate Persistent Scatterers at Facades in Urban Areas
* Using LDP-TOP in Video-Based Spoofing Detection
* Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands
* Using Learned Conditional Distributions as Edit Distance
* Using Leg Geometry to Align Androgenic Hair Patterns in Low Resolution Images for Criminal and Victim Identification
* Using Legacy Soil Data for Standardizing Predictions of Topsoil Clay Content Obtained from VNIR/SWIR Hyperspectral Airborne Images
* Using Lexical Similarity in Handwritten Word Recognition
* Using lidar and rockets to explore turbulence in the atmosphere
* Using lidar networks to explore aloft plume properties
* Using LiDAR System as a Data Source for Agricultural Land Boundaries
* Using Light Polarization in Laser-Scanning
* Using Line and Ellipse Features for Rectification of Broadcast Hockey Video
* Using line consistency to estimate 3D indoor Manhattan scene layout from a single image
* Using Line Correspondence Stereo to Measure Surface Orientation
* Using Line Correspondences in Invariant Signatures for Curve Recognition
* Using Line Segments as Structuring Elements for Sampling-Invariant Measurements
* Using line segments to train multi-stream stacked autoencoders for image classification
* Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn
* Using Linear Symmetry Features as a Pre-processing Step for Fingerprint Images
* Using Linguistic Context for Image Interpretation and Annotation
* Using Linguistic Models for Image Retrieval
* Using Linked Data for Prosopographical Research of Historical Persons: Case U.S. Congress Legislators
* Using Linking Features in Learning Non-parametric Part Models
* Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks
* Using Local 3D Structure for Segmentation of Bone from Computer Tomography Images
* Using Local Affine Invariants to Improve Image Matching
* Using local and global object's information to track vehicles in urban scenes
* Using Local Context To Improve Face Detection
* Using local convexities as anchor points for 3D curve skeletonization
* Using local density information to improve IB algorithms
* Using local deviations of vectorization to enhance the performance of raster-to-vector conversion systems
* Using Local Features in a Neural Network Based Gray-level Reduction Technique
* Using local features to measure land development in urban regions
* Using Local Integral Invariants for Object Recognition in Complex Scenes
* Using Local Knowledge and Remote Sensing in the Identification of Informal Settlements in Riyadh City, Saudi Arabia
* Using Local Planar Geometric Invariants to Match and Model Images of Line Segments
* Using local regression kernels for statistical object detection
* Using Local Symmetry for Landmark Selection
* Using local texture maps of brain MR images to detect Mild Cognitive Impairment
* Using Local Toponyms to Reconstruct the Historical River Networks in Hubei Province, China
* Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image
* Using locally estimated geodesic distance to optimize neighborhood graph for isometric data embedding
* Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play
* Using location and motion statistics for the localization of moving objects in multiple camera surveillance videos
* Using Long-Term Earth Observation Data to Reveal the Factors Contributing to the Early 2020 Desert Locust Upsurge and the Resulting Vegetation Loss
* Using Long-Term SAR Backscatter Data to Monitor Post-Fire Vegetation Recovery in Tundra Environment
* Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection
* Using Lunar Observations to Validate Clouds and the Earth's Radiant Energy System Pointing Accuracy
* Using Lunar Observations to Validate In-Flight Calibrations of Clouds and the Earth's Radiant Energy System Instruments
* Using Machine-Learning for the Damage Detection of Harbour Structures
* Using Machine Learning Algorithm to Detect Blowing Snow and Fog in Antarctica Based on Ceilometer and Surface Meteorology Systems
* Using Machine Learning for Content-Based Image Retrieving
* Using Machine Learning Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland
* Using Machine Learning to Extract Building Inventory Information Based on LiDAR Data
* Using Machine Learning to Map Western Australian Landscapes for Mineral Exploration
* Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
* Using Machine Vision and Hand-Motion Control to Improve Crane Operator Performance
* Using macroscopic information in image segmentation
* Using Makeup to Block Surveillance
* Using many cameras as one
* Using Marching Cubes on Small Machines
* Using Markov Random Fields for Contour-Based Grouping
* Using Mask-Based Enhancement and Feature Aggregation for Single Image Deraining
* Using matching distance in size theory: A survey
* Using Mathematical Morphology for Similarity Search of 3D Objects
* Using MATLAB and C in an image processing lab course
* Using Maximum Entropy for Automatic Image Annotation
* Using Maximum Similarity Graphs to Edit Nearest Neighbor Classifiers
* Using Maximum Weighted Likelihood to Derive Lehmer and Hölder Families of Means
* Using Mcda and GIS For Landfill Site Selection: Central Districts Of Antalya Province
* Using MCSST Method for Measuring Sea Surface Temperature with MODIS Imagery and Modeling and Prediction of Regional Variations with Least Squares Method (Case Study: Persian Gulf, Iran)
* Using Mean Field Annealing to Solve Anisotropic Diffusion Problems
* Using mel-frequency audio features from footstep sound and spatial segmentation techniques to improve frame-based moving object detection
* Using Membrane Computing for Obtaining Homology Groups of Binary 2D Digital Images
* Using Meta Labels for the Training of Weighting Models in a Sample-Specific Late Fusion Classification Architecture
* Using Microwave Profile Radar to Estimate Forest Canopy Leaf Area Index: Linking 3D Radiative Transfer Model and Forest Gap Model
* Using middle level features for robust shape tracking
* Using mirror cameras for estimating depth
* Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions
* Using Mixture of Expert Models to Gain Insights into Semantic Segmentation
* Using Mixture of Experts to accelerate dataset distillation
* Using Mobile Laser Scanning Data for Automated Extraction of Road Markings
* Using Mobile Laser Scanning Data For Features Extraction Of High Accuracy Driving Maps
* Using Mobile Laser Scanning Point Clouds to Extract Urban Roadside Trees for Ecological Benefits Estimation
* Using Mobile LiDAR Data for Rapidly Updating Road Markings
* Using Mobile Systems to Transmit Location Based Information
* Using Modality Replacement to Facilitate Communication between Visually and Hearing-Impaired People
* Using Model-based Localization with Active Navigation
* Using Model-Driven Bundle-Adjustment to Model Heads from Raw Video Sequences
* Using modeling and fuzzy logic to detect and track microvessels in conjunctiva images
* Using Models of Feature Perception in Distortion Measure Guidance
* Using Models of Objects with Deformable Parts for Joint Categorization and Segmentation of Objects
* Using Models to Improve Stereo Reconstruction
* Using Models to Recognise Man-Made Objects
* Using Moderate-Resolution Temporal NDVI Profiles for High-Resolution Crop Mapping in Years of Absent Ground Reference Data: A Case Study of Bole and Manas Counties in Xinjiang, China
* Using MODIS-NDVI for the Modeling of Post-Wildfire Vegetation Response as a Function of Environmental Conditions and Pre-Fire Restoration Treatments
* Using Modis Aerosol Optical Depth to Predict PM10 Over Al Ain Region, Uae
* Using MODIS Data to Predict Regional Corn Yields
* Using MODIS LAI Data to Monitor Spatio-Temporal Changes of Winter Wheat Phenology in Response to Climate Warming
* Using Modis Normalized Difference Vegetation Index to monitor seasonal and inter-annual dynamics of wetland vegetation in the Great Artesian Basin: a baseline for assessment of future changes in a unique ecosystem
* Using Moffat Profiles to Register Astronomical Images
* Using moment invariants and HMM in facial expression recognition
* Using moment invariants to analyze 3-D color textures
* Using Moment Invariants to Recognize and Locate Partially Occluded 2D Objects
* Using Moments on Spatiotemporal Plane for Facial Expression Recognition
* Using Moments To Acquire The Motion Parameters of a Deformable Object without Correspondences
* Using Moments to Reduce Object Recognition to a One-Dimensional Search
* Using Monte Carlo Simulation to Improve the Performance of Semivariograms for Choosing the Remote Sensing Imagery Resolution for Natural Resource Surveys: Case Study on Three Counties in East, Central, and West China
* Using Morphlet-based Image Representation For Object Detection
* Using Morphological Differential Attribute Profiles for Change Categorization in High Resolution SAR Images
* Using Motion-Compensated Frame-Rate Conversion for the Correction of 3:2 Pulldown Artifacts in Video Sequences
* Using Motion Compensation, Block and Region Coding
* Using Motion from Orthographic Projections to Prune 3-D Point Matches
* Using Motion from Orthographic Views to Verify 3-D Point Matches
* Using Motion Tracking to Detect Spontaneous Movements in Infants
* Using Mouse Feedback in Computer Assisted Transcription of Handwritten Text Images
* Using MPEG-21 for cross-layer multimedia content adaptation
* Using MPEG-7 at the Consumer Terminal in Broadcasting
* Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps
* Using MPEG standards for multimedia customization
* Using Multi-Angle Imaging SpectroRadiometer Aerosol Mixture Properties for Air Quality Assessment in Mongolia
* Using Multi-Angular Hyperspectral Data to Estimate the Vertical Distribution of Leaf Chlorophyll Content in Wheat
* Using Multi-Attribute Decision Factors for a Modified All-or-Nothing Traffic Assignment
* Using Multi-criteria Analysis For The Study Of Human Impact On Agro-forestry-pastoral Ecosystem In The Region Of Khenchela (Algeria)
* Using Multi-dimensional Microwave Remote Sensing Information For The Retrieval Of Soil Surface Roughness
* Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest
* Using multi-instance enrollment to improve performance of 3D face recognition
* Using multi-layer distance maps for motion planning on surfaces with moving obstacles
* Using Multi-matching System Based on a Simplified Deformable Model of the Human Iris for Iris Recognition
* Using multi-modal 3D contours and their relations for vision and robotics
* Using Multi-modal Machine Learning for User Behavior Prediction in Simulated Smart Home for Extended Reality
* Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian Biomass Burning Plumes
* Using Multi-Resolution Satellite Data to Quantify Land Dynamics: Applications of PlanetScope Imagery for Cropland and Tree-Cover Loss Area Estimation
* Using Multi-Sensor Satellite Images and Auxiliary Data in Updating and Assessing the Accuracies of Urban Land Products in Different Landscape Patterns
* Using Multi-Source Geospatial Information to Reduce the Saturation Problem of DMSP/OLS Nighttime Light Data
* Using Multi-Source National Forest Inventory Data for the Prediction of Tree Lists of Individual Stands for Long-Term Simulation
* Using Multi-Source Nighttime Lights Data to Proxy for County-Level Economic Activity in China from 2012 to 2019
* Using Multi-Source Real Landform Data to Predict and Analyze Intercity Remote Interference of 5G Communication with Ducting and Troposcatter Effects
* Using Multi-Spectral Remote Sensing for Flood Mapping: A Case Study in Lake Vembanad, India
* Using Multi-Spectral UAV Imagery to Extract Tree Crop Structural Properties and Assess Pruning Effects
* Using Multi-Temporal Landsat Images and Support Vector Machine to Assess the Changes in Agricultural Irrigated Areas in the Mogtedo Region, Burkina Faso
* Using Multi-Temporal MODIS NDVI Data to Monitor Tea Status and Forecast Yield: A Case Study at Tanuyen, Laichau, Vietnam
* Using Multi-Temporal Satellite Data to Analyse Phenological Responses of Rubber (Hevea brasiliensis) to Climatic Variations in South Sumatra, Indonesia
* Using Multi Resolution Census and Ranklet Transformation in Long Base Line SAR Image Matching
* Using Multimodal Contrastive Knowledge Distillation for Video-Text Retrieval
* Using Multimodal MR Data for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree
* Using Multimodal Wearable Technology to Detect Conflict among Couples
* Using Multiple-Hypothesis Disparity Maps and Image Velocity for 3-D Motion Estimation
* Using multiple coaxial images for determining the focal gradient in a range camera
* Using multiple cues for hand tracking and model refinement
* Using Multiple Examples for Content-Based Image Retrieval
* Using Multiple Frame Integration for the Text Recognition of Video
* Using Multiple Global Motion Models for Improved Block-Based Video Coding
* Using multiple graphics cards as a general purpose parallel computer: applications to computer vision
* Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
* Using Multiple Information Sources in a Computational Vision System
* Using Multiple Masks to Improve End-to-End Face Recognition Performance
* Using Multiple Monthly Water Balance Models to Evaluate Gridded Precipitation Products over Peninsular Spain
* Using Multiple Patches for 3D Object Recognition
* Using Multiple Scale Space-Time Patterns to Determine the Number of Replicates and Burn-In Periods in Spatially Explicit Agent-Based Modeling of Vector-Borne Disease Transmission
* Using multiple segmentations for image auto-annotation
* Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
* Using multiple sensors for reliable markerless identification through supervised learning
* Using multiple sequence alignment and statistical language model to integrate multiple Chinese address recognition outputs
* Using multiple spatio-temporal features to estimate video quality
* Using Multiple Views To Resolve Human Body Tracking Ambiguities
* Using multiresolution and multistreaming for faster access in image database broadcast
* Using multiscale analysis for blind quality assessment of DIBR-synthesized images
* Using Multiscale Spectra in Regularizing Covariance Matrices for Hyperspectral Image Classification
* Using multiscale top points in image matching
* Using Multisensory Images to Derive the Structure of Three-Dimensional Objects: A Review
* Using Multisource High-Resolution Remote Sensing Data (2 m) with a Habitat-Tide-Semantic Segmentation Approach for Mangrove Mapping
* Using Multisource Satellite Data to Investigate Lake Area, Water Level, and Water Storage Changes of Terminal Lakes in Ungauged Regions
* Using Multitemporal Hyper- and Multispectral UAV Imaging for Detecting Bark Beetle Infestation on Norway Spruce
* Using Multitemporal Sentinel-1 C-band Backscatter to Monitor Phenology and Classify Deciduous and Coniferous Forests in Northern Switzerland
* Using mutual information to indicate facial poses in video sequences
* Using N-Grams of Quantized EEG Values for Happiness Detection
* Using NASA'S Long Term Data Record version 3 for the monitoring of land surface vegetation
* Using natural class hierarchies in multi-class visual classification
* Using natural image properties as demosaicing hints
* Using NDT Data to Assess the Effect of Pavement Thickness Variability on Ride Quality
* Using NDVI and EVI to Map Spatiotemporal Variation in the Biomass and Quality of Forage for Migratory Elk in the Greater Yellowstone Ecosystem
* Using NDVI to Differentiate Wheat Genotypes Productivity Under Dryland and Irrigated Conditions
* Using Near-Field Light Sources to Separate Illumination from BRDF
* Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems
* Using Negative Shape Features for Logo Similarity Matching
* Using Neural Network to Identify the Severity of Wheat Fusarium Head Blight in the Field Environment
* Using Neural Networks To Detect Dominant Points In Chain-Coded Contours
* Using neural networks to learn shape decomposition by successive prototypication
* Using Night Lights from Space to Assess Areas Impacted by the 2023 Turkey Earthquake
* Using Nighttime Light Data and POI Big Data to Detect the Urban Centers of Hangzhou
* Using Nighttime Light Data to Explore the Extent of Power Outages in the Florida Panhandle after 2018 Hurricane Michael
* Using Nighttime Lights Data to Assess the Resumption of Religious and Socioeconomic Activities Post-COVID-19
* Using node relationships for hierarchical classification
* Using noise inconsistencies for blind image forensics
* Using non-linear diffusion and motion information for video segmentation
* Using Non-Parametric Kernel to Segment and Smooth Images Simultaneously
* Using Non Local Features for 3D Shape Grouping
* Using normal flow for detection and tracking of limbs in color images
* Using normal patterns in handwritten character recognition
* Using Normal/abnormal Video Sequence Categorization to Efficient Facial Expression Recognition in the Wild
* Using Normalized Compression Distance for image similarity measurement: an experimental study
* Using normalized echo state network to detect abnormal ECG patterns
* Using Normalized Interest Point Trajectories Over Scale for Image Search
* Using Object Detection on Social Media Images for Urban Bicycle Infrastructure Planning: A Case Study of Dresden
* Using Object Detection, NLP, and Knowledge Bases to Understand the Message of Images
* Using Object Information for Spotting Text
* Using Object Interactions to Improve Particle Filter Performance
* Using Object Probabilities in Deformable Model Fitting
* Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study
* Using occluding contours for 3D object modeling
* Using Occluding Contours for Object Recognition
* Using Occluding Contours for Recovering Shape Properties of Objects
* Using occlusion models to evaluate scale-space processors
* Using Occlusions to Aid Position Estimation for Visual Motion Capture
* Using Occupancy Grids for Mobile Robot Perception and Navigation
* Using OCR and equalization to downsample documents
* Using Octrees to Detect Changes to Buildings and Trees in the Urban Environment from Airborne LiDAR Data
* using of deep neural networks and natural mechanisms of acoustic wave propagation for extinguishing flames, The
* Using of Remote Sensing-Based Auxiliary Variables for Soil Moisture Scaling and Mapping
* using of thermal images of palm-dorsa vein-patterns for biometric verification, The
* Using omnidirectional structure from motion for registration of range images of minimal overlap
* Using One-Class Classification Techniques in the Anti-phoneme Problem
* Using Ontologies to Reduce the Semantic Gap between Historians and Image Processing Algorithms
* Using Open Source Data to Identify Transit Deserts in Four Major Chinese Cities
* Using Open Vector-Based Spatial Data to Create Semantic Datasets for Building Segmentation for Raster Data
* Using OpenStreetMap Data and Machine Learning to Generate Socio-Economic Indicators
* Using optical defocus to denoise
* Using Optical Flow as Evidence for Probabilistic Tracking
* Using Optical Flow Trajectories to Detect Whitecaps in Light-Polluted Videos
* Using optical imagery to enhance radar tracking performance
* Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey
* Using Optical Water-Type Classification in Data-Poor Water Quality Assessment: A Case Study in the Torres Strait
* Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters
* Using Optimal Algorithms to Test Model Assumptions in Computer Vision
* Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation
* Using orientation codes for rotation-invariant template matching
* Using orientation tokens for object recognition
* Using Otoacoustic Emissions as a Biometric
* Using Overlapping Distributions to Deal with Face Pose Mismatch
* Using pano-mapping tables for unwarping of omni-images into panoramic and perspective-view images
* Using Parallel Graph Transformations in Design Support System
* Using Parallel String Matching Algorithm for Contour Based 2-D Shape Recognition
* Using Partial Derivatives of 3D Images to Extract Typical Surface-Features
* Using Partial Edge Contour Matches for Efficient Object Category Localization
* Using Partial Least Squares-Artificial Neural Network for Inversion of Inland Water Chlorophyll-a
* Using Partial Shape Knowledge for Stereo Reconstruction
* Using Particle Filter to Track and Model Microtubule Dynamics
* Using Particles to Track Varying Numbers of Interacting People
* Using Patch Metrics as Validation for Contextual Classification of Heathland Vegetation
* Using Pattern Recognition for Self-Localization in Semiconductor Manufacturing Systems
* Using Patterns in Computer Go
* Using Pavement Markings to Support the QA/QC of LIDAR Data
* Using PCA to Model Shape for Process Control
* Using pedestrians walking on uneven terrains for camera calibration
* Using Perceptual Color Contrast for Color Image Processing
* Using Perceptual Grouping to Recognize and Locate Partially Occluded Objects
* Using Perceptual Inference Networks To Manage Vision Processes
* Using Perceptual Organization to Extract 3-D Structures
* Using perceptual relation of regularity and anisotropy in the texture with independent component model for defect detection
* Using Permutation Tests to Study How the Dimensionality, the Number of Classes, and the Number of Samples Affect Classification Analysis
* Using persistent homology to quantify a diurnal cycle in hurricanes
* Using Perspective Transformations in Scene Analysis
* Using Perturbation Theory to Compute the Morphological Similarity of Diffusion Tensors
* Using Phase and Directional Line Features for Efficient Palmprint Authentication
* Using Phase and Magnitude Information of the Complex Directional Filter Bank for Texture Image Retrieval
* Using Phase Data From MR Temperature Imaging to Visualize Anatomy During MRI-Guided Focused Ultrasound Neurosurgery
* Using phase information for symmetry detection
* Using Phase Instead of Optical Flow for Action Recognition
* Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model
* Using Photometric Invariants for 3D Object Recognition
* Using Physical and Logical Constraints for Invoice Understanding
* Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches
* Using Physics-based Invariant Representations for the Recognition of Regions in Multispectral Satellite Images
* Using physics-based modeler outputs to train probabilistic neural networks for unexploded ordnance (UXO) classification in magnetometry surveys
* Using Planar Parallax to Estimate the Time-to-Contact
* Using plane + parallax for calibrating dense camera arrays
* Using Player's Body-Orientation to Model Pass Feasibility in Soccer
* Using PNU-Based Techniques to Detect Alien Frames in Videos
* Using point correspondences without projective deformation for multi-view stereo reconstruction
* Using Points at Infinity for Parameter Decoupling in Camera Calibration
* Using polarimetric imaging for material classification
* Using Polarization to Separate Reflection Components
* Using Polyballs to Approximate Shapes and Skeletons
* Using Polygons to Recognize and Locate Partially Occluded Objects
* Using Polynomial Kernel Support Vector Machines for Speaker Verification
* Using polynomials to correct non-uniform backgrounds in thermal images caused by uneven heating
* Using position extrema points to capture shape in on-line handwritten signature verification
* Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal
* Using pre and post-processing methods to improve binding site predictions
* Using Predictive and Differential Methods with K2-Raster Compact Data Structure for Hyperspectral Image Lossless Compression
* Using principal curvatures and Darboux frame to recover 3D geometric primitives from range images
* Using prior shape and intensity profile in medical image segmentation
* Using Prior Shapes in Geometric Active Contours in a Variational Framework
* Using Priors for Improving Generalization in Non-Rigid Structure-from-Motion
* Using PRISMA Hyperspectral Satellite Imagery and GIS Approaches for Soil Fertility Mapping (FertiMap) in Northern Morocco
* Using Probabilistic Domain Knowledge to Reduce the Expected Computational Cost of Matching
* Using Probabilistic Domain Knowledge to Reduce the Expected Computational Cost of Template Matching
* Using probabilities in analyzing two dimensional spatial patterns
* Using Probability Distribution Functions for Satellite Validation
* Using Probability Maps for Multi-organ Automatic Segmentation
* Using Projection Kurtosis Concentration of Natural Images for Blind Noise Covariance Matrix Estimation
* Using Projective Geometry to Recover Planar Surfaces in Stereovision
* Using Projective Invariant Properties for Efficient 3D Reconstruction
* Using Projective Invariants for Constant Time Library Indexing in Model Based Vision
* Using Prolog to implement a compiler for a parallel image processing language
* Using Prospective Methods to Identify Fieldwork Locations Favourable to Understanding Divergences in Health Care Accessibility
* Using proximity and spatial homogeneity in neighbourhood-based classifiers
* Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM
* Using pseudo voxel octree to accelerate collision between cutting tool and deformable objects modeled as linked voxels
* Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network
* Using Pure Pollen Species When Training a CNN to Segment Pollen Mixtures
* Using pyramid of histogram of oriented gradients on natural scene text recognition
* Using Pyramids to Define Local Thresholds for Blob Detection
* Using Pyramids to Detect Good Continuation
* Using Quadtrees to Represent Polygonal Maps
* Using Quadtrees to Smooth Images
* Using Qualitative Data Analysis to Measure User Experience in a Serious Game for Premed Students
* Using quasi-invariants for automatic model building and object recognition: An overview
* Using Quaternions for Parametrizing 3-D Rotations in Unconstrained Nonlinear Optimization
* Using R-Trees for Interactive Visualization of Large Multidimensional Datasets
* Using Radar Imagery for Crop Discrimination: A Statistical and Conditional Probability Study
* Using RADIUS Site Models without the RCDE
* Using Radon Transform to Recognize Skewed Images of Vehicular License Plates
* Using Random Forest Distances for Outlier Detection
* Using Random Forests for Handwritten Digit Recognition
* Using random subspace to combine multiple features for face recognition
* Using range data in automatic modeling of buildings
* Using Range Profiles for Data Association in Multiple-Target Tracking
* Using Range Split-Spectrum Interferometry to Reduce Phase Unwrapping Errors for InSAR-Derived DEM in Large Gradient Region
* Using Ranking-CNN for Age Estimation
* Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa
* Using Ray-Traced Templates to Find Individual Trees in Aerial Photographs
* Using Readers' Highlighting on Monochromatic Documents for Automatic Text Transcription and Summarization
* Using Ready-to-use Drone Images in Forestry Activities: Case Study Of Çinarpinar in Kahramanmaras, Turkey
* Using real-time cluster configurations of streaming asynchronous features as online state descriptors in financial markets
* Using Real Shadows to Create Virtual Ones
* Using recurrent neural networks for continuous authentication through gait analysis
* Using Reference Point as Feature for Fingerprint Indexing
* Using reflectance models for color scanner calibration
* Using Region-Based Saliency for 3D Interest Points Detection
* Using region semantics and visual context for scene classification
* Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation
* Using Reinforcement Learning With Partial Vehicle Detection for Intelligent Traffic Signal Control
* Using Relative Orientation Constraints To Produce Virtual Images From Oblique Frames
* Using Relative Projection Density for Classification of Terrestrial Laser Scanning Data with Unknown Angular Resolution
* Using relaxation technique for region-based object recognition
* Using relevance feedback to learn visual concepts from image instances
* Using Remote-Sensing Environmental and Fishery Data to Map Potential Yellowfin Tuna Habitats in the Tropical Pacific Ocean
* Using Remote and Proximal Sensing Data and Vine Vigor Parameters for Non-Destructive and Rapid Prediction of Grape Quality
* Using Remote Sensing and GIS Techniques To Detect Changes To The Prince Alfred Hamlet Conservation Area In The Western Cape, South Africa
* Using Remote Sensing and Machine Learning to Locate Groundwater Discharge to Salmon-Bearing Streams
* Using Remote Sensing And Rpas For Archaeology And Monitoring In Western Greenland
* Using Remote Sensing Data and Species-Environmental Matching Model to Predict the Potential Distribution of Grassland Rodents in the Northern China
* Using Remote Sensing Data for Calculating the Coastal Erosion In Southern Thailand
* Using Remote Sensing Data to Create Maps of Vegetation and Relief For Natural Resource Management of a Large Administrative Region
* Using Remote Sensing Methods to Study Active Geomorphologic Processes on Cantabrian Coastal Cliffs
* Using Remote Sensing Multispectral Imagery for Invasive Species Quantification: The Effect of Image Resolution on Area and Biomass Estimation
* Using Remote Sensing Products to Identify Marine Association Patterns in Factors Relating to ENSO in the Pacific Ocean
* Using Remote Sensing Techniques to Document and Identify the Largest Underwater Object of the Baltic Sea: Case Study of the Only German Aircraft Carrier, Graf Zeppelin
* Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World
* Using Remote Sensing Technology on the Delimitation of the Conservation Area for the Jianan Irrigation System Cultural Landsccape
* Using Remote Sensing to Analyse Net Land-Use Change from Conflicting Sustainability Policies: The Case of Amsterdam
* Using Remote Sensing to Estimate Scales of Spatial Heterogeneity to Analyze Evapotranspiration Modeling in a Natural Ecosystem
* Using Remote Sensing to Estimate Understorey Biomass in Semi-Arid Woodlands of South-Eastern Australia
* Using Remote Sensing to Identify Drivers behind Spatial Patterns in the Bio-physical Properties of a Saltmarsh Pioneer
* Using Remote Sensing to Identify Urban Fringe Areas and Their Spatial Pattern of Educational Resources: A Case Study of the Chengdu-Chongqing Economic Circle
* Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian
* Using Remote Vision: The Effects of Video Image Frame Rate on Visual Object Recognition Performance
* Using Remotely-Sensed Land Cover and Distribution Modeling to Estimate Tree Species Migration in the Pacific Northwest Region of North America
* Using Remotely Sensed Data For Documentation Of Archaeological Sites In Northeastern Mesopotamia
* Using Remotely Sensed Imagery to Document How Land Use Drives Turbidity of Playa Waters in Texas
* Using Remotely Sensed Information to Improve Vegetation Parameterization in a Semi-Distributed Hydrological Model (SMART) for Upland Catchments in Australia
* Using Remotely Sensed Sea Surface Salinity and Colored Detrital Matter to Characterize Freshened Surface Layers in the Kara and Laptev Seas during the Ice-Free Season
* Using Renyi's Information and Wavelets for Target Detection: An Application to Mammograms
* Using replicator dynamics for analyzing fMRI data of the human brain
* Using Resistivity Structure to Study the Seismogenic Mechanism of the 2021 Luxian Ms6.0 Earthquakes
* Using resolution pyramids for watershed image segmentation
* Using Restaurant POI Data to Explore Regional Structure of Food Culture Based on Cuisine Preference
* Using retina modelling to characterize blinking: comparison between EOG and video analysis
* Using retinex for point selection in 3D shape registration
* Using Retinex Image Enhancement to Improve the Artery/Vein Classification in Retinal Images
* Using RFID to Detect Interactions in Ambient Assisted Living Environments
* Using RGISTools to Estimate Water Levels in Reservoirs and Lakes
* Using Richer Models for Articulated Pose Estimation of Footballers
* Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes
* Using Rigid Constraints to Analyse Motion Parameters from Two Sets of 3D Corresponding Point Pattern
* Using Ripley's K-function to improve graph-based clustering techniques
* Using Road Pavement Markings as Ground Control for LIDAR Data
* Using Roads for Autonomous Air Vehicle Guidance
* Using robust dispersion estimation in support vector machines
* Using Robust Estimation Algorithms for Tracking Explicit Curves
* Using Robust Methods for Automatic Extraction of Buildings
* Using Robust Regression to Retrieve Soil Moisture from CyGNSS Data
* Using ROI with ISOM compression to medical image
* Using Rough Relational Models for Geometric Reasoning
* Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification
* Using RPAS Multi-Spectral Imagery to Characterise Vigour, Leaf Development, Yield Components and Berry Composition Variability within a Vineyard
* Using RTT Variability for Adaptive Cross-Layer Approach to Multimedia Delivery in Heterogeneous Networks
* Using RZL Coding to Enhance Histogram-Pair Based Image Reversible Data Hiding
* Using SAHRIS a web-based application for creating heritage cases and permit applications
* Using Saildrones to Validate Arctic Sea-Surface Salinity from the SMAP Satellite and from Ocean Models
* Using Saildrones to Validate Satellite-Derived Sea Surface Salinity and Sea Surface Temperature along the California/Baja Coast
* Using SAR-Derived Vegetation Descriptors in a Water Cloud Model to Improve Soil Moisture Retrieval
* Using Satellite-Based Data to Facilitate Consistent Monitoring of the Marine Environment around Ireland
* Using Satellite-Borne Remote Sensing Data in Generating Local Warming Maps with Enhanced Resolution
* Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area
* Using Satellite Altimetry to Calibrate the Simulation of Typhoon Seth Storm Surge off Southeast China
* Using Satellite Data For Environmental Impact Analysis In Economic Growth: The Case Of Mongolia
* Using Satellite Data for the Characterization of Local Animal Reservoir Populations of Hantaan Virus on the Weihe Plain, China
* Using Satellite Data to Analyse Raw Material Consumption in Hanoi, Vietnam
* Using Satellite Data to Characterize Land Surface Processes in Morocco
* Using Satellite Data to Optimize Wheat Yield and Quality under Climate Change
* Using Satellite Data to Represent Tropical Instability Waves (TIWs)-Induced Wind for Ocean Modeling: A Negative Feedback onto TIW Activity in the Pacific
* Using Satellite Error Modeling to Improve GPM-Level 3 Rainfall Estimates over the Central Amazon Region
* Using Satellite Gravity and Hydrological Data to Estimate Changes in Evapotranspiration Induced by Water Storage Fluctuations in the Three Gorges Reservoir of China
* Using Satellite Image Fusion to Evaluate the Impact of Land Use Changes on Ecosystem Services and Their Economic Values
* Using Satellite Imagery and Aerial Orthophotos for the Multi-Decade Monitoring of Subalpine Norway Spruce Stands Changes in Gorce National Park, Poland
* Using Satellite Images for Wireless Network Planing in Baku City
* Using Satellite Interferometry to Infer Landslide Sliding Surface Depth and Geometry
* Using Satellite NDVI Time-Series to Monitor Grazing Effects on Vegetation Productivity and Phenology in Heterogeneous Mediterranean Forests
* Using Satellite Remote Sensing to Study the Impact of Climate and Anthropogenic Changes in the Mesopotamian Marshlands, Iraq
* Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard
* Using SAX representation for human action recognition
* Using Scale-Space Anisotropic Smoothing for Text Line Extraction in Historical Documents
* Using scale space filtering to make thinning algorithms robust against noise in sketch images
* Using Scene Constraints during the Calibration Procedure
* Using Scene Context to Model Segmentations
* Using scene features to improve wide-area video surveillance
* Using Scene Graphs for Detecting Visual Relationships
* Using Score Distribution Models to Select the Kernel Type for a Web-Based Adaptive Image Retrieval System (AIRS)
* Using Score Normalization to Solve the Score Variation Problem in Face Authentication
* Using segmentation in CT metal artifact reduction
* Using Segmentation to Predict the Absence of Occluded Parts
* Using Segmentation to Verify Object Hypotheses
* Using Segmentation With Multi-Scale Selective Kernel for Visual Object Tracking
* Using Segmented 3D Point Clouds for Accurate Likelihood Approximation in Human Pose Tracking
* Using selective correlation coefficient for robust image registration
* Using Self-Contradiction to Learn Confidence Measures in Stereo Vision
* Using self-organising maps in the detection and recognition of road signs
* Using Self-Organizing Recognition as a Mechanism for Rejecting Segmentation Errors
* Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving
* Using Semantics to Automatically Generate Speech Interfaces for Wearable Virtual and Augmented Reality Applications
* Using semivariogram indices to analyse heterogeneity in spatial patterns in remotely sensed images
* Using sensor pattern noise for camera model identification
* Using Sentinel-1 and Sentinel-2 Time Series for Slangbos Mapping in the Free State Province, South Africa
* Using Sentinel-1, Sentinel-2, and Planet Imagery to Map Crop Type of Smallholder Farms
* Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop
* Using Sentinel-2 for Simplifying Soil Sampling and Mapping: Two Case Studies in Umbria, Italy
* Using Sentinel-2 Imagery and Machine Learning Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018-2021
* Using Sentinel-2 Imagery to Measure Spatiotemporal Changes and Recovery across Three Adjacent Grasslands with Different Fire Histories
* Using Sentinel-2 Images for Soil Organic Carbon Content Mapping in Croplands of Southwestern France. The Usefulness of Sentinel-1/2 Derived Moisture Maps and Mismatches between Sentinel Images and Sampling Dates
* Using Sentinel-2 Images to Estimate Topography, Tidal-Stage Lags and Exposure Periods over Large Intertidal Areas
* Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa
* Using Sentinel-2 to Track Field-Level Tillage Practices at Regional Scales in Smallholder Systems
* Using Sequential Context for Image Analysis
* Using set partitioning in hierarchical trees to authenticate digital images
* Using Shading and a 3D Template to Reconstruct Complex Surface Deformations
* Using Shading to Register an Intraoperative CT Scan to a Laparoscopic Image
* Using Shadows in Finding Surface Orientations
* Using Shadows in the Interpretation of Aerial Images
* Using Shape-Aware Models for Lumbar Spine Intervertebral Disc Segmentation
* Using Shape and Intensity to Track Non-Rigid Objects
* Using Shape and Layout Information to Find Signatures, Text, and Graphics
* Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
* Using Shear Invariant for Image Denoising in the Contourlet Domain
* Using shorelines for autonomous air vehicle guidance
* Using Short-Range Interactions and Simulated Genetic Strategy to Improve the Protein Contact Map Prediction
* Using SIFT features in palmprint authentication
* Using Signal/Residual Information of Eigenfaces for PCA Face Space Dimensionality Characteristics
* Using Signing Space as a Representation for Sign Language Processing
* Using silhouette for pose estimation of object with surface of revolution
* Using similarity measures and homogeneity for the comparison of images
* Using similarity scores from a small gallery to estimate recognition performance for larger galleries
* Using Simple Decomposition for Smoothing and Feature Point Detection Of Noisy Digital Curves
* Using simplicial partitions to determine a closest point to a query line
* Using Simplified Thermal Inertia to Determine the Theoretical Dry Line in Feature Space for Evapotranspiration Retrieval
* Using simulated Terrestrial Laser Scanning to analyse errors in high-resolution scan data of irregular surfaces
* Using Simulated Training Data of Voxel-Level Generative Models to Improve 3D Neuron Reconstruction
* Using Single- and Multi-Date UAV and Satellite Imagery to Accurately Monitor Invasive Knotweed Species
* Using Singular Displacements for Uncalibrated Monocular Visual Systems
* Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model
* Using Skeletonization and Shortest Skeleton Path Approach for Chinese Character Representation
* Using skew Gabor filter in source signal separation and local spectral multi-orientation analysis
* Using skew Gabor filter in source signal separation and local spectral orientation analysis
* Using Sky-pointing fish-eye camera and LiDAR to aid GNSS single-point positioning in urban canyons
* Using Small-Footprint Discrete and Full-Waveform Airborne LiDAR Metrics to Estimate Total Biomass and Biomass Components in Subtropical Forests
* Using Small Checkerboards as Size Reference: A Model-Based Approach
* Using Small Unmanned Aerial Vehicle in 3D Modeling of Highways with Tree-Covered Roadsides to Estimate Sight Distance
* Using Small Unmanned Aircraft Systems for Measuring Post-Flood High-Water Marks and Streambed Elevations
* Using Smart-Phones and Floor Plans for Indoor Location Tracking
* Using Smart Cameras to Localize Self-Assembling Modular Robots
* Using Smart Homes to Detect and Analyze Health Events
* Using snakes for the registration of topographic road database objects to ALS features
* Using Snakes with Asymmetric Energy Terms for the Detection of Varying-Contrast Edges in SAR Images
* Using social effects to guide tracking in complex scenes
* Using social media for disaster emergency management
* Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China
* Using Social Networks to Analyze the Spatiotemporal Patterns of the Rolling Stock Manufacturing Industry for Countries in the Belt and Road Initiative
* Using Socially Assistive Human-Robot Interaction to Motivate Physical Exercise for Older Adults
* Using Software Agent Negotiation for Service Selection
* Using Solar-Induced Chlorophyll Fluorescence Observed by OCO-2 to Predict Autumn Crop Production in China
* Using solar shadow trajectories for camera calibration
* Using Song to Identify Cassin's Vireo Individuals. A Comparative Study of Pattern Recognition Algorithms
* Using Sorted Switching Median Filter to remove high-density impulse noises
* Using SP-Frames for Error Resilience in Optimized Video Streaming
* Using Space-Time Coding for Watermarking Color Images
* Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series
* Using Space Continuity and Orientation Constraints for Range Data-Acquisition
* Using Spanning Graphs for Efficient Image Registration
* Using Sparse-Point Disparity Estimation and Spatial Propagation to Construct Dense Disparity Map for Stereo Endoscopic Images
* Using Sparse Elimination for Solving Minimal Problems in Computer Vision
* Using sparse regression to learn effective projections for face recognition
* Using Spatial Data Mining Techniques to Reveal Vulnerability of People and Places Due to Oil Transportation and Accidents: A Case Study of Istanbul Strait
* Using spatial data support for reducing uncertainty in geospatial applications
* Using Spatial Features to Reduce the Impact of Seasonality for Detecting Tropical Forest Changes from Landsat Time Series
* Using Spatial Information as an Aid to Maximum-Entropy Image Threshold Selection
* Using Spatial Order to Boost the Elimination of Incorrect Feature Matches
* Using spatial overlap ratio of independent classifiers for likelihood map fusion in mean-shift tracking
* Using spatial pyramids with compacted VLAT for image categorization
* Using Spatial Relations for Graphical Symbol Description
* Using Spatial Semantics and Interactions to Identify Urban Functional Regions
* Using Spatial Sorting and Ranking in Model-Based Object Recognition
* Using Spatially Distributed Patterns for Multiple View Camera Calibration
* Using spatio-temporal deep learning for forecasting demand and supply-demand gap in ride-hailing system with anonymised spatial adjacency information
* Using Spatio-Temporal Patches for Simultaneous Estimation of Edge Strength, Orientation, and Motion
* Using Spatiotemporal Correlations to Learn Invariant Object Recognition
* Using Specific Displacements to Analyze Motion without Calibration
* Using Spectral Features for Modelbase Partitioning
* Using spectral Geodesic and spatial Euclidean weights of neighbourhood pixels for hyperspectral Endmember Extraction preprocessing
* Using Spectral Indices to Estimate Water Content and GPP in Sphagnum Moss and Other Peatland Vegetation
* Using Spectral/Spatial Information for Automatic Recognition
* Using spectrotemporal indices to improve the fruit-tree crop classification accuracy
* Using specular highlights as pose invariant features for 2D-3D pose estimation
* Using specularities for recognition
* Using specularities in comparing 3D models and 2D images
* Using Specularities to Recover Multiple Light Sources in the Presence of Texture
* Using Speech for Handwritten Mathematical Expression Recognition Disambiguation
* Using Speech Input for Image Interpretation and Annotation
* Using Sphere Images for Calibrating Fisheye Cameras under the Unified Imaging Model of the Central Catadioptric and Fisheye Cameras
* Using spherical moments for visual servoing from a special target with unique projection center cameras
* Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
* Using SPOT Data and FRAGSTAS to Analyze the Relationship between Plant Diversity and Green Space Landscape Patterns in the Tropical Coastal City of Zhanjiang, China
* Using Stability of Interpretation as Verification for Low Level Processing: An Example from Egomotion and Optic Flow
* Using Stacked Generalization to Combine SVMs in Magnitude and Shape Feature Spaces for Classification of Hyperspectral Data
* Using Stacked Sparse Auto-Encoder and Superpixel CRF for Long-Term Visual Scene Understanding of UGVs
* Using Standardized Time Series Land Cover Maps to Monitor the SDG Indicator Mountain Green Cover Index and Assess Its Sensitivity to Vegetation Dynamics
* Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention
* Using Stationary And Mobile Laser Scanner To Detect Forest Defoliation
* Using statistical characteristics of gradient phases for robust face recognition under illumination variations
* Using Statistical Measures and Machine Learning for Graph Reduction to Solve Maximum Weight Clique Problems
* Using Statistical Shape Priors in Geodesic Active Contours for Robust Object Detection
* Using Steerable Filters for Illumination-Invariant Recognition in Multispectral Images
* Using steerable wavelets and minimal paths to reconstruct automatically filaments in fluorescence imaging
* Using Stereo Matching for 2-D Face Recognition Across Pose
* Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose
* Using Stereo Vision Analysis to Recognize Partially Obscured Objects
* Using Stereo Vision To Support The Automated Analysis Of Surveillance Videos
* Using Stereomotion to Track Binocular Targets
* Using Stochastic Petri Nets for Level-Crossing Collision Risk Assessment
* Using Stochastic Ray Tracing to Simulate a Dense Time Series of Gross Primary Productivity
* Using stochastic syntactic analysis for extracting a logical structure from a document image
* Using String Languages to Describe Picture Languages
* Using Strings for On-Line Handwriting Shape Matching: A New Weighted Edit Distance
* Using Stroke-Number-Characteristics for Improving Efficiency of Combined Online and Offline Japanese Character Classifiers
* Using Stroke or Character-Based Self-Organizing Maps in the Recognition of On-Line, Connected Cursive Script
* Using Strong Shape Priors for Stereo
* Using Structure-from-Motion Photogrammetry to Improve Roughness Estimates for Headwater Dryland Streams in the Pilbara, Western Australia
* Using Structure for Video Object Retrieval
* Using Structure in Content-based Image Retrieval
* Using Structured Illumination to Enhance Video-Based Eye Tracking
* Using structured light for efficient depth edge detection
* Using Subgroup Discovery to Relate Odor Pleasantness and Intensity to Peripheral Nervous System Reactions
* Using Subspace Multiple Linear Regression for 3D Face Shape Prediction from a Single Image
* Using Super-Resolution Methods to Solve a Novel Multi-Sinusoidal Signal Model
* Using Supervised Deep Learning for Human Age Estimation Problem
* Using Supervised Learning and Comparing General and ANTI-HIV Drug Databases Using Chemoinformatics
* Using Support Vector Machine (SVM) with GPS Ionospheric TEC Estimations to Potentially Predict Earthquake Events
* Using Support Vector Machines for Face Authentication Based on Elastic Graph Matching
* Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication
* Using Support Vector Regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries
* Using support vector regression and segmentation to estimate forest height, biomass and volume from LiDAR transects and Quickbird imagery
* Using Support Vector Regression to Predict the Overall Equipment Effectiveness Indicator*
* Using suprathreshold color-difference ellipsoids to estimate any perceptual color-difference
* Using Surface Model to Correct and Fit Disparity Data in Stereo Vision
* Using Surface Stations to Improve Sounding Retrievals from Hyperspectral Infrared Instruments
* Using surface variability characteristics for segmentation of deformable 3D objects with application to piecewise statistical deformable model
* Using Surfaces and Object Models to Recognize Partially Obscured Objects
* Using surfaces and surface relations in an Early Cognitive Vision system
* Using SVM for Efficient Detection of Human Motion
* Using SVR and MRA Methods for Real Estate Valuation in the Smart Cities
* Using Swarm to Detect Total Water Storage Changes in 26 Global Basins (Taking the Amazon Basin, Volga Basin and Zambezi Basin as Examples)
* Using Symbolic Computation to Find Algebraic Invariants
* Using Symbolic Differences to Organize Relational Models
* Using Symmetries for Analysis of Shape from Contour
* Using Symmetry for Detecting and Locating Objects in a Picture
* Using symmetry in robust model fitting
* Using Symmetry to Select Fixation Points for Segmentation
* Using Symmetry, Ellipses, and Perceptual Groups for Detecting Generic Surfaces of Revolution in 2D Images
* Using synthetic data for person tracking under adverse weather conditions
* Using Synthetic Data for Planning, Development and Evaluation of Shape-from-silhouette Based Human Motion Capture Methods
* Using Synthetic Data Generation to Probe Multi-View Stereo Networks
* Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks
* Using Synthetic Images to Register Real Surfaces with Surface Models
* Using Synthetic Remote Sensing Indicators to Monitor the Land Degradation in a Salinized Area
* Using Systems of Parallel and Distributed Data Processing to Build Hydrological Models Based on Remote Sensing Data
* Using Tabu Search to Avoid Concave Obstacles for Source Location
* Using Tactic-Based Learning (formerly Mentoring) to Accelerate Recovery of an Adaptive Learning System in a Changing Environment
* Using Tailored Graphical Tools to Improve the Quality of Displacement Maps AT CTTC: The Vetools
* Using TanDEM-X Global DEM to Map Coastal Flooding Exposure under Sea-Level Rise: Application to Guinea-Bissau
* Using TanDEM-X Pursuit Monostatic Observations with a Large Perpendicular Baseline to Extract Glacial Topography
* Using targeted statistics for face regeneration
* Using Tasseled Cap Transformation of CBERS-02 Images to Detect Dieback or Dead Robinia Pseudoacacia Plantation
* Using Technology Developed for Autonomous Cars to Help Navigate Blind People
* Using temporal averaging to decouple annual and nonannual information in AVHRR NDVI time series
* Using Temporal Coherence for Gait Pose Estimation From a Monocular Camera View
* Using temporal coherence to build models of animals
* Using Temporal Correlation to Optimize Stereo Matching in Video Sequences
* Using Temporal Features of Observers' Physiological Measures to Distinguish Between Genuine and Fake Smiles
* Using temporal information for recognizing actions from still images
* Using Temporal Integration for Tracking Regions in Traffic Monitoring Sequences
* Using Temporal Logic and Model Checking in Automated Recognition of Human Activities for Ambient-Assisted Living
* Using Terrestrial Laser Scanners to Calculate and Map Vertical Bridge Clearance
* Using Terrestrial Laser Scanning and Lidar Data for Photo-Realistic Visualisation of Climate Impacts at Heritage Sites
* Using Text to Teach Image Retrieval
* Using texture-based symbolic features for medical image representation
* Using Texture Analysis for Medical Diagnosis
* Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses
* Using Texture for Image Retrieval
* Using texture to complement color in image matting
* Using texture to tackle the problem of scale in land-cover classification
* Using the Active Appearance Algorithm for Face and Facial Feature Tracking
* Using the Agoraset dataset: Assessing for the quality of crowd video analysis methods
* Using the alpha-beta-Neighborhood for Adaptive Document Filtering
* Using the Audio Respiration Signal for Multimodal Discrimination of Expressive Movement Qualities
* Using the Bayesian Network to Map Large-Scale Cropping Intensity by Fusing Multi-Source Data
* Using The Beta-binomial Distribution To Assess Performance Of A Biometric Identification Device
* Using the BFAST Algorithm and Multitemporal AIRS Data to Investigate Variation of Atmospheric Methane Concentration over Zoige Wetland of China
* Using the Complex Ginzburg-Landau Equation for Digital Inpainting in 2D and 3D
* Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
* Using the conflict in Dempster-Shafer evidence theory as a rejection criterion in classifier output combination for 3D human action recognition
* Using the Creation Machine to Locate Airplanes on Aerial Photos
* Using the CSM Correspondence Calculation Algorithm to Quantify Differences between Surfaces
* Using the Digital Elevation Model (DEM) to Improve the Spatial Coverage of the MODIS Based Reservoir Monitoring Network in South Asia
* Using the Directional Derivative Trace Transform for Seismic Wavefield Separation
* Using the Draft H.26l Video Coding Standard for Mobile Applications
* Using the expectation-maximization algorithm for depth estimation and segmentation of multi-view images
* Using the FFT to Determine Digital Straight Line Chain Codes
* Using the Fisher-Rao Metric to Compute Facial Similarity
* Using the Fourier Slice Theorem for Representation of Object Views and Models with Application to Face Recognition
* Using the fractal code to watermark images
* Using the Gaussian Image to Find the Orientation of Objects
* Using the Geodetector Method to Characterize the Spatiotemporal Dynamics of Vegetation and Its Interaction with Environmental Factors in the Qinba Mountains, China
* Using the Global Hydrodynamic Model and GRACE Follow-On Data to Access the 2020 Catastrophic Flood in Yangtze River Basin
* Using the Hexagonal Grid for Three-Dimensional Images: Direct Fourier Method Reconstruction and Weighted Distance Transform
* Using the Hierarchical Pathfinding A* Algorithm in GIS to Find Paths through Rasters with Nonuniform Traversal Cost
* Using the Higher Order Singular Value Decomposition for Video Denoising
* Using the Himawari-8 AHI Multi-Channel to Improve the Calculation Accuracy of Outgoing Longwave Radiation at the Top of the Atmosphere
* Using the HVS binocular properties for the construction of a comprehensive stereoscopic matching model
* Using the Improved YOLOv5-Seg Network and Sentinel-2 Imagery to Map Glacial Lakes in High Mountain Asia
* Using the Inner-Distance for Classification of Articulated Shapes
* Using the Interferometric Capabilities of the ESA CryoSat-2 Mission to Improve the Accuracy of Sea Ice Freeboard Retrievals
* Using the InVEST-PLUS Model to Predict and Analyze the Pattern of Ecosystem Carbon storage in Liaoning Province, China
* Using the KL-Center for Efficient and Accurate Retrieval of Distributions Arising from Texture Images
* Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction
* Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration
* Using the Low-Resolution Properties of Correlated Images to Improve the Computational Efficiency of Eigenspace Decomposition
* Using the Model-Based Residual Bootstrap to Quantify Uncertainty in Fiber Orientations From Q-Ball Analysis
* Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area
* Using the Monge-Kantorovitch Transform in Chromagenic Color Constancy for Pathophysiology
* Using the NASA EOS A-Train to Probe the Performance of the NOAA PATMOS-x Cloud Fraction CDR
* Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach
* Using the Orientation of Fragmentary 3D Edge Segments for Polyhedral Object Recognition
* Using the original and symmetrical face training samples to perform representation based two-step face recognition
* Using the Orthographic Projection Model to Approximate the Perspective Projection Model for 3D Facial Reconstruction
* Using the Overlapping Score to Improve Corruption Benchmarks
* Using the Particle Filter Approach to Building Partial Correspondences Between Shapes
* Using the Pn Potts model with learning methods to segment live cell images
* Using the Properties of Primate Motion Sensitive Neurons to Extract Camera Motion and Depth from Brief 2-D Monocular Image Sequences
* Using the Pupillary Reflex as a Diabetes Occurrence Screening Aid Tool through Neural Networks
* Using the robust statistics for travel time estimation on highways
* Using the Shadow as a Single Feature for Real-Time Monocular Vehicle Pose Determination
* Using the Shape Characteristics of Rain to Identify and Remove Rain from Video
* Using the Shape Gradient for Active Contour Segmentation: From the Continuous to the Discrete Formulation
* Using the Skeleton for 3D Object Decomposition
* Using the Spatial Knowledge of Map Users to Personalize City Maps: A Case Study with Tourists in Madrid, Spain
* Using the Spatio-Temporal Volume for Motion Segmentation
* Using the Surface Temperature-Albedo Space to Separate Regional Soil and Vegetation Temperatures from ASTER Data
* Using the Synergy of Qfield for Collecting Data On-site and QGIS For Interactive Map Creation By Alkis® Data Extraction and Implementation In PostgreSQL for Urban Planning Processes
* Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data
* Using the Total Exploratory Factor Analysis (T-EFA) as a Calibration Technique for Sleuth Model
* Using the Triplet Loss for Domain Adaptation in WCE
* Using the unity® game engine as a platform for advanced real time cinema image processing
* Using the Universal Atrial Coordinate System for MRI and Electroanatomic Data Registration in Patient-Specific Left Atrial Model Construction and Simulation
* Using the vector distance functions to evolve manifolds of arbitrary codimension
* Using the vectorcardiogram to remove ECG noise
* Using the VENµS Super-Spectral Camera for detecting moving vehicles
* Using the Video Lookup Table for Reflectivity Calculations: Specific Techniques and Graphic Results
* Using the Watershed Transform for Iris Detection
* Using the Web to Create Dynamic Dictionaries in Handwritten Out-of-Vocabulary Word Recognition
* Using the whole body for multi-channel gestural interface
* Using theoretical ROC curves for analysing machine learning binary classifiers
* Using Thermal and RGB UAV Imagery to Measure Surface Flow Velocities Of Rivers
* Using Thermal Time and Pixel Purity for Enhancing Biophysical Variable Time Series: An Interproduct Comparison
* Using Third Party Data To Update A Reference Dataset In A Quality Evaluation Service
* Using Three Reassigned Spectrogram Patches and Log-Gabor Filter for Audio Surveillance Application
* Using Time Series of High-Resolution Planet Satellite Images to Monitor Grapevine Stem Water Potential in Commercial Vineyards
* Using Time Series Optical and SAR Data to Assess the Impact of Historical Wetland Change on Current Wetland in Zhenlai County, Jilin Province, China
* Using Time Series Sentinel-1 Images for Object-Oriented Crop Classification in Google Earth Engine
* Using top-down and bottom-up analysis for a multi-scale skeleton hierarchy
* Using top n Recognition Candidates to Categorize On-line Handwritten Documents
* Using Topic Concepts for Semantic Video Shots Classification
* Using Topic Keyword Clusters for Automatic Document Clustering
* Using topic models for OCR correction
* Using Topological Information of Images to Improve Stereo Matching
* Using TPI to Map Spatial and Temporal Variations of Significant Coastal Upwelling in the Northern South China Sea
* Using Tracking Data to Identify Gaps in Knowledge and Conservation of the Critically Endangered Siberian Crane (Leucogeranus leucogeranus)
* Using Training Samples Retrieved from a Topographic Map and Unsupervised Segmentation for the Classification of Airborne Laser Scanning Data
* Using Transfer Learning for Malware Classification
* Using Transmural Regularization and Dynamic Modeling for Noninvasive Cardiac Potential Imaging of Endocardial Pacing With Imprecise Thoracic Geometry
* Using tree-grammars for training set expansion in page classification
* Using Tree Clusters to Derive Forest Properties from Small Footprint Lidar Data
* Using Tree Detection Algorithms to Predict Stand Sapwood Area, Basal Area and Stocking Density in Eucalyptus regnans Forest
* Using Tree Detection Based on Airborne Laser Scanning to Improve Forest Inventory Considering Edge Effects and the Co-Registration Factor
* Using tri-training to exploit spectral and spatial information for hyperspectral data classification
* Using Triple Collocation Observations to Estimate Satellite Measurement Noise
* Using Tsallis Entropy into a Bayesian Network for CBIR
* Using TSX/TDX Pursuit Monostatic SAR Stacks for PS-InSAR Analysis in Urban Areas
* Using Tucker Decomposition to Compress Color Images
* Using two-class classifiers for multiclass classification
* Using two-dimensional models to interact with the three-dimensional world
* Using Typical Testors for Feature Selection in Text Categorization
* Using UAS Hyperspatial RGB Imagery for Identifying Beach Zones along the South Texas Coast
* Using UAV-based 3d Images of Individual Tree Species in Distance Education in Forestry
* Using UAV-Based Hyperspectral Imagery to Detect Winter Wheat Fusarium Head Blight
* Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level
* Using UAV-Based Photogrammetry Coupled with In Situ Fieldwork and U-Pb Geochronology to Decipher Multi-Phase Deformation Processes: A Case Study from Sarclet, Inner Moray Firth Basin, UK
* Using UAV-Based Photogrammetry to Obtain Correlation between the Vegetation Indices and Chemical Analysis of Agricultural Crops
* Using UAV-Based SOPC Derived LAI and SAFY Model for Biomass and Yield Estimation of Winter Wheat
* Using UAV and Field Measurement Technology to Monitor the Impact of Coal Gangue Pile Temperature on Vegetation Ecological Construction
* Using UAV and Multispectral Images to Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural Networks
* Using UAV and Structure-From-Motion Photogrammetry for the Detection of Boulder Movement by Storms on a Rocky Shore Platform in Laghdira, Northwest Morocco
* Using UAV Imagery to Detect and Map Woody Species Encroachment in a Subalpine Grassland: Advantages and Limits
* Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland
* Using UAV Photogrammetry and Automated Sensors to Assess Aquifer Recharge from a Coastal Wetland
* Using UAV RGB Images for Assessing Tree Species Diversity in Elevation Gradient of Zao Mountains
* Using UAV Survey, High-Density LiDAR Data and Automated Relief Analysis for Habitation Practices Characterization during the Late Bronze Age in NE Romania
* Using UAV Time Series to Estimate Landslides' Kinematics Uncertainties, Case Study: Chirlesti Earthflow, Romania
* Using UAV to Detect Shoreline Changes: Case Study: Pohranov Pond, Czech Republic
* Using UAV to Identify the Optimal Vegetation Index for Yield Prediction of Oil Seed Rape (Brassica napus L.) at the Flowering Stage
* Using Unconditional Diffusion Models in Level Generation for Super Mario Bros
* Using Uncorrupted Neighborhoods of the Pixels for Impulsive Noise Suppression With ANFIS
* Using Uncrewed Aerial Vehicles for Identifying the Extent of Invasive Phragmites australis in Treatment Areas Enrolled in an Adaptive Management Program
* Using underapproximations for sparse nonnegative matrix factorization
* Using Unknown Occluders to Recover Hidden Scenes
* Using Unmanned Aerial Vehicle and Ground-Based RGB Indices to Assess Agronomic Performance of Wheat Landraces and Cultivars in a Mediterranean-Type Environment
* Using Unmanned Aerial Vehicle and LiDAR-Derived DEMs to Estimate Channels of Small Tributary Streams
* Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments
* Using Unmanned Aerial Vehicles (UAV) to Quantify Spatial Gap Patterns in Forests
* Using Unoccupied Aerial Vehicles (UAVs) to Map Seagrass Cover from Sentinel-2 Imagery
* Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications
* Using Urban Landscape Trajectories to Develop a Multi-Temporal Land Cover Database to Support Ecological Modeling
* Using Validation by Inference to Select a Hypothesis Function
* Using Vanishing Points for Camera Calibration
* Using Vanishing Points To Correct Camera Rotation In Images
* Using vanishing points to estimate parameters of fisheye camera
* Using Various Analysis Center Products to Assess the Time-Frequency Transfer Performance of GPS/Galileo/BDS PPPAR Methods
* Using Various Types of Multimedia Resources to Train System for Automatic Transcription of Czech Historical Oral Archives
* Using Vector Agents to Implement an Unsupervised Image Classification Algorithm
* Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings
* Using Vector Quantization to Build Nonlinear Factorial Models of the Low-dimensional Independent Manifolds in Optical Imaging Data
* Using Vegetation Indices and a UAV Imaging Platform to Quantify the Density of Vegetation Ground Cover in Olive Groves (Olea Europaea L.) in Southern Spain
* Using Vehicle Networks, Vehicle-to-Vehicle Communication, VANET
* Using Vehicle Synthesis Generative Adversarial Networks to Improve Vehicle Detection in Remote Sensing Images
* Using Vertical Panoramic Images to Record a Historic Cemetery
* Using Very-High-Resolution Multispectral Classification to Estimate Savanna Fractional Vegetation Components
* Using Very High Resolution Thermal Infrared Imagery for More Accurate Determination of the Impact of Land Cover Differences on Evapotranspiration in an Irrigated Agricultural Area
* Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review
* Using video stream for continuous monitoring of breathing rate for general setting
* Using video technology for reducing TV energy
* Using View Interpolation for Low Bit-rate Video
* Using VIIRS Day/Night Band to Measure Electricity Supply Reliability: Preliminary Results from Maharashtra, India
* Using Virtual Active Vision Tools to Improve Autonomous Driving Tasks
* Using Virtual and Augmented Reality with GIS Data
* Using virtual reality and percolation theory to visualize fluid flow in porous media
* Using Virtual Scenarios to Produce Machine Learnable Environments For Wildfire Detection and Segmentation
* Using visibility cameras to estimate atmospheric light extinction
* Using Visible Spectral Information to Predict Long-Wave Infrared Spectral Emissivity: A Case Study over the Sokolov Area of the Czech Republic with an Airborne Hyperspectral Scanner Sensor
* Using vision based tracking to support real-time graphical instruction for students who have visual impairments
* Using Vision Metrology System for Quality Control In Automotive Industries
* Using Vision Transformers for Spatial-Context-Aware Rain and Road Surface Condition Detection on Freeways
* Using Vision Transformers in 3-D Medical Image Classifications
* Using VISSIM simulation model and Surrogate Safety Assessment Model for estimating field measured traffic conflicts at freeway merge areas
* Using Visual Context and Region Semantics for High-Level Concept Detection
* Using Visual Dictionary to Associate Semantic Objects in Region-Based Image Retrieval
* Using Visual Exploratory Data Analysis to Facilitate Collaboration and Hypothesis Generation in Cross-Disciplinary Research
* Using visual features based on MPEG-7 and deep learning for movie recommendation
* Using Visual Features for Anti-Spam Filtering
* Using Visual Ozone Damage Scores and Spectroscopy to Quantify Soybean Responses to Background Ozone
* Using visual texture analysis to classify raw coal components
* Using Visualizations to Support Design and Debugging in Virtual Reality
* Using Voting-Bas