Update Dates 2411

2411 * *ICIP
* 1D Plug-and-Play Synthetic Data Deep Learning for Undersampled Magnetic Resonance Image Reconstruction, A
* 2D human skeleton action recognition with spatial constraints
* 360 Layout Estimation via Orthogonal Planes Disentanglement and Multi-View Geometric Consistency Perception
* 360Spred: Saliency Prediction for 360-Degree Videos Based on 3D Separable Graph Convolutional Networks
* 3D Clothed Human Reconstruction From One In-the-Wild RGB Image
* 3D face alignment through fusion of head pose information and features
* 3D Modelling and Measuring Dam System of a Pellucid Tufa Lake Using UAV Digital Photogrammetry
* 3D Multi-Trajectory and Pick-Up Optimization of UAV for Minimizing Delivery Time With Weight Restriction
* 3D Non-Stationary Small-Scale Fading Model for 5G High-Speed Train Massive MIMO Channels, A
* 3D Point Cloud Attribute Compression Using Diffusion-Based Texture-Aware Intra Prediction
* 3D Point-Based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising
* 3D position and pose measurement based on coded light field
* 3D Reconstruction From a Single Sketch via View-Dependent Depth Sampling
* 3D Semantic Scene Completion from a Depth Map with Unsupervised Learning for Semantics Prioritisation
* 3D Snapshot: Invertible Embedding of 3D Neural Representations in a Single Image
* 3D Surface Velocity Field Inferred from SAR Interferometry: Cerro Prieto Step-Over, Mexico, Case Study
* 3D-COCO: Extension of MS-COCO Dataset for Scene Understanding and 3D Reconstruction
* 3D-PSSIM: Projective Structural Similarity for 3D Mesh Quality Assessment Robust to Topological Irregularities
* 3Dlaneformer: Rethinking Learning Views for 3D Lane Detection
* 3DTA: No-Reference 3D Point Cloud Quality Assessment With Twin Attention
* 3F-PNP: Compressive Sensing Using Nonlocal Self-Similarity and Deep Learning Priors
* 3PFS: Protecting Pedestrian Privacy Through Face Swapping
* 5-D spatial-temporal information-based infrared small target detection in complex environments
* 5G Networks Enabling Cooperative Autonomous Vehicle Localization: A Survey
* AAGF: An Efficient Transformer with Mix-Features for Visual Place Recognition
* Aboveground Carbon Stock Estimation Based on Backpack LiDAR and UAV Multispectral Imagery at the Forest Sample Plot Scale
* Absolute velocity estimation of UAVs based on phase correlation and monocular vision in unknown GNSS-denied environments
* Accelerated, Physics-Inspired Inference of Skeletal Muscle Microstructure From Diffusion-Weighted MRI
* Accelerating Cascade Classifier Training with Genetic Algorithms for Edge ML Applications
* Accelerating Deep Learning in Radar Systems: A Simulation Framework for 60 GHz Indoor Radar
* Acceptance and Trust: Drivers' First Contact With Released Automated Vehicles in Naturalistic Traffic
* Accurate Colon Segmentation Using 2D Convolutional Neural Networks With 3D Contextual Information
* Accurate Estimation of Gross Primary Production of Paddy Rice Cropland with UAV Imagery-Driven Leaf Biochemical Model
* ACML: Attention-Based Cross-Modality Learning For Cloth-Changing and Occluded Person Re-Identification
* ACR-Net: Learning High-Accuracy Optical Flow via Adaptive-Aware Correlation Recurrent Network
* Action recognition algorithm based on skeleton graph with multiple features and improved adjacency matrix
* Activation of Ms 6.9 Milin Earthquake on Sedongpu Disaster Chain, China with Multi-Temporal Optical Images
* Active Fault Interpretation in the Northern Segment of the Red River Fault Based on Multisource Remote Sensing Data
* Actuator Fault-Tolerant Control for Aero-Engine Control System: A Zonotope-Based Approach
* Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
* Adaprompt: Prompt Tuning with Adaptive Neighbours for Generalized Category Discovery
* Adaptative Context Normalization: A Boost for Deep Learning in Image Processing
* Adapting CuSUM Algorithm for Site-Specific Forest Conditions to Detect Tropical Deforestation
* Adapting Image Classification Adversarial Detection Methods for Traffic Sign Classification in Autonomous Vehicles: A Comparative Study
* Adapting Learned Image Codecs To Screen Content Via Adjustable Transformations
* Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization
* Adaptive Asymptotic Tracking Control for Underactuated Autonomous Underwater Vehicles With State Constraints
* Adaptive Decentralized Emergent Behavior Based Autonomous Platooning
* Adaptive Distraction Recognition via Soft Prototype Learning and Probabilistic Label Alignment
* Adaptive Downsampling and Spatial Upconversion for Point Cloud Compression
* Adaptive fixed-time fault-tolerant fuzzy control of AUVs with asymmetric output constraints
* Adaptive Fuzzy Finite-Time Asymptotic Tracking Control of Vehicular Platoons With Nonsmooth Asymmetric Input Nonlinearities
* Adaptive graph reasoning network for object detection
* Adaptive Pattern-Coupled Sparse Bayesian Learning for Channel Estimation in OTFS Systems
* Adaptive Sampling Method for Whole-Body Low-Dose Pet Reconstruction Based on Reconstruction Difficulty
* Adaptive Spatial-Temporal Method Capturing for Short-Term Bike-Sharing Prediction, An
* Adaptive Spatial-Temporal Modelling for Human Motion Prediction
* Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective
* Adaptive Tilt-Series Alignment with Feature Resampling in Cryo-Electron Tomography
* Adaptive Unmixing Method Based on Iterative Multi-Objective Optimization for Surface Water Fraction Mapping (IMOSWFM) Using Zhuhai-1 Hyperspectral Images, An
* Adaptively Hierarchical Quantization Variational Autoencoder Based on Feature Decoupling and Semantic Consistency for Image Generation
* Adaptrack: Adaptive Thresholding-Based Matching for Multi-Object Tracking
* Adaptxray: Vision Transformer and Adapter In X-Ray Images for Prohibited Items Detection
* AdaViPro: Region-Based Adaptive Visual Prompt for Large-Scale Models Adapting
* ADMNet: Attention-Guided Densely Multi-Scale Network for Lightweight Salient Object Detection
* Advanced Object Detection in Multibeam forward-Looking Sonar Images Using Linear Cross-Attention Techniques
* Advances in medical image analysis: A comprehensive survey of lung infection detection
* Advances in Remote Sensing and Machine Learning Methods for Invasive Plants Study: A Comprehensive Review
* Advancing Algorithmic Adaptability in Hyperspectral Anomaly Detection with Stacking-Based Ensemble Learning
* Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning: Opportunities and Challenges
* Advancing Colorectal Polyp Segmentation with Watershed Algorithm-Enhanced Parallel Self-Supervised Learning
* Advancing Forest Degradation and Regeneration Assessment Through Light Detection and Ranging and Hyperspectral Imaging Integration
* Advancing precision in medical image segmentation: A performance analysis of loss functions for COVID-19 lung infection segmentation in computed tomography images
* Advancing Real-World Image Dehazing: Perspective, Modules, and Training
* Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-Wise Pseudo Labeling
* AdvART: Adversarial Art for Camouflaged Object Detection Attacks
* AdvCloak: Customized adversarial cloak for privacy protection
* Adversarial Detection Transformer for Kuzushiji Recognition
* Adversarial EM For Partially-Supervised Image-Quality Enhancement: Application to Low-Dose PET Imaging
* Adversarial Embedding Steganography via Progressive Probability Optimizing and Discarded Stego Recycling
* Adversarial Robustness for Deep Metric Learning
* Adversarial Training With Anti-Adversaries
* Adversarially Robust Continual Learning with Anti-Forgetting Loss
* ADWNet: An improved detector based on YOLOv8 for application in adverse weather for autonomous driving
* Aerial View River Landform Video Segmentation: A Weakly Supervised Context-Aware Temporal Consistency Distillation Approach
* AFA-Mamba: Adaptive Feature Alignment with Global-Local Mamba for Hyperspectral and LiDAR Data Classification
* Affordable Real-Time PPP: Combining Low-Cost GNSS Receivers with Galileo HAS Corrections in Static, Pseudo-Kinematic, and UAV Experiments
* Against linkage: A novel generative face anonymization framework with style diversification
* AGC-ODE: Adaptive Graph Controlled Neural ODE for Human Mobility Prediction
* Agent-Guided Gaze Estimation Network by Two-Eye Asymmetry Exploration
* AGIL-SwinT: Attention-guided inconsistency learning for face forgery detection
* Agile Formation Control for Intelligent Swarm Systems With Guaranteed Collision Avoidance
* AI Robustness Against Attacks in City-Scale Autonomous Drone Deployments
* AI-Generated Image Detection With Wasserstein Distance Compression and Dynamic Aggregation
* AIFormer: Adaptive Interaction Transformer for 3D Point Cloud Understanding
* AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images
* AK-GPSR: An Adaptive K-Medoids-Based Greedy Perimeter Stateless Routing Algorithm for Multi-Channel Vehicular Network Communication
* algorithm for cattle counting in rangeland based on multi-scale perception and image association, An
* Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure, An
* Alignface: Enhancing Face Verification Models Through Adaptive Alignment Of Pose, Expression, and Illumination
* Alignment-Free RGBT Salient Object Detection: Semantics-Guided Asymmetric Correlation Network and a Unified Benchmark
* All Skeletons are Created Equal! A Domain Adaptation Transformer to Handle Multiple Topologies
* Alleviating Over-Fitting in Hashing-Based Fine-Grained Image Retrieval: From Causal Feature Learning to Binary-Injected Hash Learning
* alpha-Divergence Approach To Robust Canonical Correlation Analysis, An
* Analysis and Comprehensive Evaluation of Urban Green Space Information Based on Gaofen 7: Considering Beijing's Fifth Ring Area as an Example
* Analysis of Guidance Signage Systems from a Complex Network Theory Perspective: A Case Study in Subway Stations
* Analysis of Lofoten Vortex Merging Based on Altimeter Data
* Analysis of Macro- and Microphysical Characteristics of Ice Clouds over the Tibetan Plateau Using CloudSat/CALIPSO Data
* Analysis of Multi-GNSS Multipath for Parameter-Unified Autocorrelation-Based Mitigation and the Impact of Constellation Shifts
* Analysis of the Biennial Productivity of Arabica Coffee with Google Earth Engine in the Northeast Region of São Paulo, Brazil
* Analysis of the Influence of Different Reference Models on Recovering Gravity Anomalies from Satellite Altimetry
* Analysis on Ecological Network Pattern Changes in the Pearl River Delta Forest Urban Agglomeration from 2000 to 2020
* Analytical Characterization of Cyberattacks on Adaptive Cruise Control Vehicles
* Analyzing Lane Change Execution Behavior on Expressway Using an Instrumented Vehicle: A Random Effect Accelerated Failure Time Approach
* Analyzing Visible Articulatory Movements in Speech Production for Speech-Driven 3D Facial Animation
* Anchor-Free Contour-Based Method For Instance Segmentation, An
* Andean Landscape Legacies: Comprehensive Remote Sensing Mapping and GIS Analysis of Long-Term Settlement and Land Use for Sustainable Futures (NW Argentina)
* AnimeDiff: Customized Image Generation of Anime Characters Using Diffusion Model
* Anisotropic sparse transformation for spectral CT image reconstruction
* AnlightenDiff: Anchoring Diffusion Probabilistic Model on Low Light Image Enhancement
* Anomaly Detection for the Identification of Volcanic Unrest in Satellite Imagery
* Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
* Anti-Rain Clutter Interference Method for Millimeter-Wave Radar Based on Convolutional Neural Network
* Apnet: Generating Precise Anomaly Prior Information for Mixed-Supervised Defect Detection
* Appearance-Based Gaze Estimation With Deep Learning: A Review and Benchmark
* Application of Hybrid Attention Mechanisms in Lithological Classification with Multisource Data: A Case Study from the Altay Orogenic Belt
* Applications for Semantic 3D Streetspace Models and Their Requirements: A Review and Look at the Road Ahead
* Approaching the Global Nash Equilibrium of Non-Convex Multi-Player Games
* Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks, An
* Approximation of Non-Ideal Filtering in OTFS via Variable Fractional Delay
* Are Objective Explanatory Evaluation Metrics Trustworthy? An Adversarial Analysis
* ARES: Text-Driven Automatic Realistic Simulator for Autonomous Traffic
* Artificial Intelligence and Machine Learning Tools for Improving Early Warning Systems of Volcanic Eruptions: The Case of Stromboli
* Artificial Intelligence-Based Precipitation Estimation Method Using Fengyun-4B Satellite Data
* AS2LS: Adaptive Anatomical Structure-Based Two-Layer Level Set Framework for Medical Image Segmentation
* ASF-Net: Robust video deraining via temporal alignment and online adaptive learning
* Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference
* Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context
* Assessing the performance of a hybrid max-weight traffic signal control algorithm in the presence of noisy queue information: An evaluation of the environmental impacts
* Assessing Video Shakiness: A Novel Data and Protocols Framework
* Assessment of Fine-Scale Urban Heat Health Risk and Its Potential Driving Factors Based on Local Climate Zones in Shenzhen, China
* Assessment of FY-3E GNOS II Radio Occultation Data Using an Improved Three-Cornered Hat Method
* Assignment Method for Multiple Extended Target Tracking With Azimuth Ambiguity Based on Pseudo Measurement Set, An
* Asymmetric patch sampling for contrastive learning
* ATAC-NET: Zoomed View Works Better for Anomaly Detection
* Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment
* Attention Enhancement with Parallel Groups for Remote Sensing Object Detection
* Attention redirection transformer with semantic oriented learning for unbiased scene graph generation
* Attention-Based Few-Shot Diagnosis of Chest X-Rays Using Semantic Signatures
* Attention-Enhanced Urban Fugitive Dust Source Segmentation in High-Resolution Remote Sensing Images
* Attention-generative adversarial networks for simulating rain field
* Attention-Guided Low-Rank Tensor Completion
* Attribution of Vegetation Dynamics in the Yellow River Water Conservation Area Based on the Deep ConvLSTM Model
* ATU-NET: An Adaptive Transformation-Based U-NET for Medical Image Segmentation
* Audio Mamba: Bidirectional State Space Model for Audio Representation Learning
* Automated Cloud Shadow Detection from Satellite Orthoimages with Uncorrected Cloud Relief Displacements
* Automated Dominative Subspace Mining for Efficient Neural Architecture Search
* Automated grading of diabetic retinopathy and Radiomics analysis on ultra-wide optical coherence tomography angiography scans
* Automated Recognition of Submerged Body-like Objects in Sonar Images Using Convolutional Neural Networks
* Automated Segmentation of Lung Regions in 3D CT Scans Using Hybrid Unsupervised-Supervised Models
* Automatic deep sparse clustering with a dynamic population-based evolutionary algorithm using reinforcement learning and transfer learning
* Automatic Method for Detecting Deformation Cracks in Landslides Based on Multidimensional Information Fusion
* Automatic segmentation of deep endometriosis in the rectosigmoid using deep learning
* Autonomous Drifting Using Torque Vectoring: Innovating Active Safety
* Autonomous Vehicle Control Through Socially Compliant Human-Robot Interactions With an Application to Eco-Driving
* B-Walk: Bernoulli Principle Guided Biased Random Walk for Curve Connection
* Background adaptive PosMarker based on online generation and detection for locating watermarked regions in photographs
* Background debiased class incremental learning for video action recognition
* Background-Aware Cross-Attention Multiscale Fusion for Multispectral Object Detection
* Balanced parametric body prior for implicit clothed human reconstruction from a monocular RGB
* Base-Map-Guided Global Localization Solution for Heterogeneous Robots Using a Co-View Context Descriptor, A
* Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting, A
* Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior
* Behind Every Domain There is a Shift: Adapting Distortion-Aware Vision Transformers for Panoramic Semantic Segmentation
* benchmark dataset and semantics-guided detection network for spatial-temporal human actions in urban driving scenes, A
* Benchmark of Variance of Opinion Scores in Image Quality Assessment, A
* Benchmarking of Individual Tree Segmentation Methods in Mediterranean Forest Based on Point Clouds from Unmanned Aerial Vehicle Imagery and Low-Density Airborne Laser Scanning
* BEV-TP: End-to-End Visual Perception and Trajectory Prediction for Autonomous Driving
* Bi-Directional Tracklet Embedding for Multi-Object Tracking
* Bi-Directionally Fused Boundary Aware Network for Skin Lesion Segmentation, A
* Bi-Layered Synchronized Optimization Control With Prescribed Performance for Vehicle Platoon
* Bi-Objective Vehicle Routing for Perishable Products Delivery With Consideration of Customers' Priorities and Customized Delivery Time Windows
* Bi-Predictive Intra Block Copy for Enhanced Video Coding Beyond VVC
* Biarchetype Analysis: Simultaneous Learning of Observations and Features Based on Extremes
* Bidfuse: Harnessing Bi-Directional Attention with Modality-Specific Encoders for Infrared-Visible Image Fusion
* Bilateral fusion low-light image enhancement with implicit information constraints
* Bilateral Interaction for Local-Global Collaborative Perception in Low-Light Image Enhancement
* Bilinear Models of Parts and Appearances in Generative Adversarial Networks
* Binary-Decomposed Vision Transformer: Compressing and Accelerating Vision Transformer by Binary Decomposition
* Binomial Harmonic Approximation Double-Phase Estimator Tracking for BOC Modulated Signals
* BjTT: A Large-Scale Multimodal Dataset for Traffic Prediction
* Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging
* Blind CT Image Quality Assessment Using DDPM-Derived Content and Transformer-Based Evaluator
* Blind image deblurring with a difference of the mixed anisotropic and mixed isotropic total variation regularization
* Blind Image Quality Assessment via Adaptive Graph Attention
* Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation
* BlindLight: High Robustness Reinforcement Learning Method to Solve Partially Blinded Traffic Signal Control Problem
* Block Diagonal Graph Embedded Discriminative Regression for Image Representation
* Blockchain and Machine Learning Integrated Secure Driver Behavior Centric Electric Vehicle Insurance Model
* Blockchain-Based Proxy-Oriented Data Integrity Checking Mechanism in Cloud-Assisted Intelligent Transportation Systems
* Blockchain-Powered Malicious Node Detection in Internet of Autonomous Vehicles, A
* BMT-Bench: A Benchmark Sports Dataset For Video Generation
* Boosting certified robustness via an expectation-based similarity regularization
* Boosting Weakly Supervised Object Localization and Segmentation With Domain Adaption
* Bounded Rationality-Aware Car-Following Strategy for Alleviating Cut-In Events and Traffic Disturbances in Traffic Oscillations, A
* Box-Level Class-Balanced Sampling for Active Object Detection
* Brain-Inspired Image Perceptual Quality Assessment Based on EEG: A QoE Perspective
* BrainMass: Advancing Brain Network Analysis for Diagnosis With Large-Scale Self-Supervised Learning
* Breaking the rain barrier: A novel approach in image processing with AMGR-Net
* Bri3L: a Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception
* Bridging Global Context Interactions for High-Fidelity Pluralistic Image Completion
* Broadband Waveguide Chip Design with Phase Measurement Function for Enhancing Optical Interferometric Imaging
* Burnsnet: Burn Region Segmentation Network from Color Images with Two-Way CNN
* CA-MoEiT: Generalizable Face Anti-spoofing via Dual Cross-Attention and Semi-fixed Mixture-of-Expert
* CAAM: A calibrated augmented attention module for masked face recognition
* CADeTT: Context-Adaptive Deep-Trinary-Tree Lossless Compression of Event Camera Frames
* Cafct-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation
* Calibration of Dual-Polarised Antennas for Air-Coupled Ground Penetrating Radar Applications
* Camera Calibration Through Geometric Constraints from Rotation and Projection Matrices
* Camera-Aware Differentiated Clustering With Focal Contrastive Learning for Unsupervised Vehicle Re-Identification
* CamoFormer: Masked Separable Attention for Camouflaged Object Detection
* Camouflaged Object Detection Via Style Transfer-Based Data Augmentation
* CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization
* Capsule Attention Network for Hyperspectral Image Classification
* CAPTIV8: A Comprehensive Large Scale Capsule Endoscopy Dataset for Integrated Diagnosis
* CARD: Semantic Segmentation With Efficient Class-Aware Regularized Decoder
* Carrier Phase Common-View Single-Differenced Time Transfer via BDS Penta-Frequency Signals
* Cascading Failures on Multimodal Public Transportation Networks: The Role of Station Coupling Strength
* Cascading Unknown Detection with Known Classification for Open Set Recognition
* Case Study on the Integration of Remote Sensing for Predicting Complicated Forest Fire Spread, A
* Caseg: CLIP-Based Action Segmentation with Learnable Text Prompt
* Category-Agnostic Pose Estimation for Point Clouds
* Category-Based Interactive Attention and Perception Fusion Network for Semantic Segmentation of Remote Sensing Images
* CC4S: Encouraging Certainty and Consistency in Scribble-Supervised Semantic Segmentation
* CCE-OMBOC: A Simple and Efficient Constant-Envelope Technology for Multicarrier Navigation Modulation by Clipping
* CDKM: Common and Distinct Knowledge Mining Network With Content Interaction for Dense Captioning
* CDP-MVS: Forest Multi-View Reconstruction with Enhanced Confidence-Guided Dynamic Domain Propagation
* CE-GAN: Community Evolutionary Generative Adversarial Network for Alzheimer's Disease Risk Prediction
* CEDNet: A cascade encoder-decoder network for dense prediction
* CEFusion: An Infrared and Visible Image Fusion Network Based on Cross-Modal Multi-Granularity Information Interaction and Edge Guidance
* Cell Cycle State Prediction Using Graph Neural Networks
* Center-Highlighted Multiscale CNN for Classification of Hyperspectral Images
* CenterRadarNet: Joint 3D Object Detection and Tracking Framework Using 4D FMCW Radar
* Centre-loss: A preferred class verification approach over sample-to-sample in self-checkout products datasets
* Cervical-YOSA: Utilizing prompt engineering and pre-trained large-scale models for automated segmentation of multi-sequence MRI images in cervical cancer
* CF-Net: Cross fusion network for semantic segmentation
* CFOR: Character-First Open-Set Text Recognition via Context-Free Learning
* CG-FAS: Cross-label Generative Augmentation for Face Anti-Spoofing
* CHAMP: A Large-Scale Dataset for Skeleton-Based Composite HumAn Motion Prediction
* Change Detection in Partially Observed Large-Scale Traffic Network Data
* Change Detection of Mangrove Forests Using Deep Learning with Medium-Resolution Satellite Imagery: A Case Study of Wunbaik Mangrove Forest in Myanmar, The
* Channel Knowledge Map-Aided Personalized Resource Allocation Strategy in Air-Ground Integrated Mobility, A
* Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022
* Characteristics and Tectonic Implications of the Geomorphic Indices of the Watersheds Around the Lijiang-Jinpingshan Fault
* Characteristics of R2019 Processing of MODIS Sea Surface Temperature at High Latitudes
* Characteristics of Rock Avalanche Deposit in Wangjiapo, Ludian Based on UAV Aerial Image Recognition
* Characterization of Dim Light Response in DVS Pixel: Discontinuity of Event Triggering Time
* Characterization of Electric Field Fluctuations in the High-Latitude Ionosphere Using a Dynamical Systems Approach: CSES-01 Observations
* Characterization of Electric Field Pulses Observed in the Preliminary Breakdown Processes of Normal and Inverted Intracloud Flashes, The
* Characterizing Chromophoric Dissolved Organic Matter Spatio-Temporal Variability in North Andean Patagonian Lakes Using Remote Sensing Information and Environmental Analysis
* ChatCAD+: Toward a Universal and Reliable Interactive CAD Using LLMs
* ChatGeoAI: Enabling Geospatial Analysis for Public through Natural Language, with Large Language Models
* ChatGPT and Biometrics: an Assessment of Face Recognition, Gender Detection, and Age Estimation Capabilities
* CLaSP: Cross-view 6-DoF localisation assisted by synthetic panorama
* Class Agnostic and Specific Consistency Learning for Weakly-Supervised Point Cloud Semantic Segmentation
* Class-Incremental Learning: A Survey
* Class-Specific Channel Attention for Few Shot Learning
* ClearDepth: Addressing Depth Distortions Caused By Eyelashes for Accurate Geometric Gaze Estimation on Mobile Devices
* CLIFS: Clip-Driven Few-Shot Learning for Baggage Threat Classification
* Climatic Influence on the Carotenoids Concentration in a Mediterranean Coastal Lagoon Through Remote Sensing
* CLIP-Based Composition-Aware Image Cropping
* CLIP-Medfake: Synthetic Data Augmentation with AI-Generated Content for Improved Medical Image Classification
* CLIPose: Category-Level Object Pose Estimation With Pre-Trained Vision-Language Knowledge
* Cloud Detection Using a UNet3+ Model with a Hybrid Swin Transformer and EfficientNet (UNet3+STE) for Very-High-Resolution Satellite Imagery
* Clouds and Haze Co-Removal Based on Weight-Tuned Overlap Refinement Diffusion Model for Remote Sensing Images
* CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo
* CM2-Net: Continual Cross-Modal Mapping Network for Driver Action Recognition
* CNN-Transformer Network Based Snr Guided High Frequency Reconstruction for Low Light Image Enhancement, A
* CO-Net++: A Cohesive Network for Multiple Point Cloud Tasks at Once With Two-Stage Feature Rectification
* Co-Seismic and Post-Seismic Slip Properties Associated with the 2024 M 7.5 Noto Peninsula, Japan Earthquake Determined by GNSS Observations
* Co2Wounds-V2: Extended Chronic Wounds Dataset from Leprosy Patients
* Coarse-Fine Spectral-Aware Deformable Convolution for Hyperspectral Image Reconstruction
* COCCON Measurements of XCO2, XCH4 and XCO over Coal Mine Aggregation Areas in Shanxi, China, and Comparison to TROPOMI and CAMS Datasets
* Codamal: Contrastive Domain Adaptation for Malaria Detection in Low-Cost Microscopes
* coded knowledge distillation framework for image classification based on adaptive JPEG encoding, A
* Coffee Plant Counting Method Based on Dual-Channel NMS and YOLOv9 Leveraging UAV Multispectral Imaging, A
* Cognitive Radar Waveform Selection for Low-Altitude Maneuvering-Target Tracking: A Robust Information-Aided Fusion Method
* Collaborative Intelligence for Vision Transformers: A Token Sparsity-Driven Edge-Cloud Framework
* Color and Geometric Contrastive Learning Based Intra-Frame Supervision for Self-Supervised Monocular Depth Estimation
* Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea, The
* Combinatory AC and DC Charging Approach for Electric Vehicles, A
* Combined Drought Index Using High-Resolution Hydrological Models and Explainable Artificial Intelligence Techniques in Türkiye
* Combining Raft-Based Stereo Disparity and Optical Flow Models for Scene Flow Estimation
* COMICS: End-to-End Bi-Grained Contrastive Learning for Multi-Face Forgery Detection
* Comment on Transformation Problem. From Euler Angles Method to Quaternion Algebra
* Comparative Crash-Test of Manual and Semi-Automated Methods for Detecting Complex Submarine Morphologies, A
* Comparative Study of GPR Acquisition Methods for Shallow Buried Object Detection
* Comparative Study of Perceptual Quality Metrics For Audio-Driven Talking Head Videos, A
* Comparison of Crowdsourcing And Laboratory Settings for Subjective Assessment of Video Quality and Acceptability & Annoyance
* Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023
* Comparison of Non-Contact Measurement Technologies Applied on the Underground Glacier: The Choice for Long-Term Monitoring of Ice Changes in Dobšiná Ice Cave
* Competitive Learning for Achieving Content-Specific Filters in Video Coding for Machines
* Complementary Blind-Spot Network for Self-Supervised Real Image Denoising
* Complementary Masked-Guided Meta-Learning for Domain Adaptive Nighttime Segmentation
* Complementary to Multiple Labels: A Correlation-Aware Correction Approach
* Comprehensive Assessment of Large-Scale Regional Fluvial Flood Exposure Using Public Datasets: A Case Study from China
* Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges, A
* Comprehensive Survey and Tutorial on Smart Vehicles: Emerging Technologies, Security Issues, and Solutions Using Machine Learning, A
* Compression-Aware Tuning for Compressing Volumetric Radiance Fields
* Computationally Efficient Kalman Filter Framework for Intra-Frame Image Reconstruction with a Rolling Shutter Camera
* Concept of Using the MBSE Approach to Integrate Security Patterns in Safety-Related Projects for the Automotive Industry
* Conditional Optimal Filter Selection for Multispectral Object Classification
* Conditional Past Experience Generation for Dark Continual Learning
* Conditional Privacy-Preserving Mutual Authentication Protocol With Fine-Grained Forward and Backward Security in IoV, A
* Confidence Aware Stereo Matching for Realistic Cluttered Scenario
* Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
* Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking, A
* Considering traffic characteristics: Roadside unit deployment optimization algorithm based on dynamic division of road network subareas
* Consistency Self-Training Semi-Supervised Method for Road Extraction from Remote Sensing Images
* Constrained multi-scale dense connections for biomedical image segmentation
* Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer
* Constructing Diverse Inlier Consistency for Partial Point Cloud Registration
* Constructing Soil-Landscape Units Based on Slope Position and Land Use to Improve Soil Prediction Accuracy
* Content-Aware Rate Control for Geometry-Based Point Cloud Compression
* Content-Aware Supervision for Diffusion-Based Restoration of Extremely Compressed Background for VCM
* Context-Adaptive Entropy Model with Adapters for Lossless Point Cloud Geometry Compression
* Context-Oriented Multi-Scale Neural Network for Fire Segmentation, A
* Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis
* Contextuality Helps Representation Learning for Generalized Category Discovery
* Continual Action Assessment via Task-Consistent Score-Discriminative Feature Distribution Modeling
* Continual Learning From a Stream of APIs
* Continual Road-Scene Semantic Segmentation Via Feature-Aligned Symmetric Multi-Modal Network
* Contour-Weighted Loss for Class-Imbalanced Image Segmentation
* Contrast-Guided Wireframe Parsing
* Contrastive Graph Pooling for Explainable Classification of Brain Networks
* Contrastive Mean Teacher for Intra-Camera Supervised Person Re-Identification
* Controllable Unsupervised Event-Based Video Generation
* Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
* Convex-Hull Estimation using Xpsnr for Versatile Video Coding
* Convolutional Low-Rank Tensor Representation for Structural Missing Traffic Data Imputation
* Convolutional Neural Network with Learnable Masks for EIT Based Tactile Sensing
* Cooperative Dual-Task Path Planning for Persistent Surveillance and Emergency Handling by Multiple Unmanned Ground Vehicles
* Cooperative Longitudinal Driving and Lane Assignment Strategy for Left-Turn Connected and Autonomous Vehicles at Signalized Intersections With a Contraflow Left-Turn Lane
* Cooperative Perception with Localization Uncertainty: A Cubature Split Covariance Intersection Framework
* Coordinated Computing Resource Allocation With Efficiency Maximization in Heterogeneous Platoon Edge Network
* Correctable Landmark Discovery via Large Models for Vision-Language Navigation
* Correlated and Multi-Frequency Diffusion Modeling for Highly Under-Sampled MRI Reconstruction
* Correlation-Aware Joint Pruning-Quantization using Graph Neural Networks
* Correlation-Embedded Transformer Tracking: A Single-Branch Framework
* Correlation-Guided Distribution and Geometry Alignments for Heterogeneous Domain Adaptation
* CosineTR: A dual-branch transformer-based network for semantic line detection
* Cost Volume Aggregation in Stereo Matching Revisited: A Disparity Classification Perspective
* Cost-Efficient Edge Federated Learning Over Multiple Base Stations for the ITS Based on Connected and Autonomous Vehicles
* Counting Repetitive Actions in Event Stream
* Coupled Effects of High Temperatures and Droughts on Forest Fires in Northeast China
* CoVR-2: Automatic Data Construction for Composed Video Retrieval
* CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation
* Crack-U2Net: Multiscale Feature Learning Network for Pavement Crack Detection from Large-Scale MLS Point Clouds
* CRCGAN: Toward robust feature extraction in finger vein recognition
* Credible Positioning of BDS RTK/INS Integration Based on Multi-Information Cross-Validation
* Creep slope estimation for assessing adhesion in the wheel/rail contact
* CRENet: Crowd region enhancement network for multi-person 3D pose estimation
* CRFormer: A cross-region transformer for shadow removal
* Crocos-V1: Enhancing Mask Leakage and Bounding Box Localization for Real-Time Crop/Weed Instance Segmentation*
* Crop Classification from Drone Imagery Based on Lightweight Semantic Segmentation Methods
* Cropland Disturbance Monitoring Method Based on Probabilistic Trajectories, A
* Cross Attention-Based Multi-Scale Convolutional Fusion Network for Hyperspectral and LiDAR Joint Classification
* Cross Domain Generative Network for Accelerated MRI, A
* Cross-Action Cross-Subject Skeleton Action Recognition Via Simultaneous Action-Subject Learning with Two-Step Feature Removal
* Cross-Domain Denoising for Low-Dose Multi-Frame Spiral Computed Tomography
* Cross-Domain Few-Shot In-Context Learning for Enhancing Traffic Sign Recognition
* Cross-Domain Mutual-Assistance Learning Framework for Fully Automated Diagnosis of Primary Tumor in Nasopharyngeal Carcinoma
* Cross-Domain Transfer Hashing for Efficient Cross-Modal Retrieval
* Cross-Fusion of Band-Specific Spectral Features for Multi-Band NIR Colorization
* Cross-Modal Alignment of Local and Global Features for Zero-Shot Chinese Character Recognition
* Cross-Modal Contrastive Pre-Training for Few-Shot Skeleton Action Recognition
* Cross-Modal Hashing Method With Properties of Hamming Space: A New Perspective
* Cross-Observability Optimistic-Pessimistic Safe Reinforcement Learning for Interactive Motion Planning With Visual Occlusion
* Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-Resolution
* Cross-Spectral Navigation with Sensor Handover for Enhanced Proximity Operations with Uncooperative Space Objects
* Cross-stage feature fusion and efficient self-attention for salient object detection
* CrossZoom: Simultaneous Motion Deblurring and Event Super-Resolving
* Crowd-Sourced NeRF: Collecting Data From Production Vehicles for 3D Street View Reconstruction
* Crowdassign: A Label Assignment Scheme for Pedestrian Detection in Crowded Scenes
* Crowdsourced Estimation of Collective Just Noticeable Difference for Compressed Video With the Flicker Test and QUEST+
* Crowdsourcing Regional Coverage Balancing Method Based on Transfer Learning in Taxi Service
* CSDG-FAS: Closed-Space Domain Generalization for Face Anti-spoofing
* CST-Yolo: A Novel Method for Blood Cell Detection Based on Improved Yolov7 and CNN-Swin Transformer
* Curious Explorer: A Provable Exploration Strategy in Policy Learning
* Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation, A
* Curvature Regularization for Non-Line-of-Sight Imaging From Under-Sampled Data
* Customized Augmented Lagrangian Method for Block-Structured Integer Programming, A
* D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing
* D4D: An RGBD Diffusion Model to Boost Monocular Depth Estimation
* DA-GAN: Dual-attention generative adversarial networks for real-world exquisite makeup transfer
* DALSM: A Direction-Aware Line Segment Matching Method
* DAPlankton: Benchmark Dataset for Multi-Instrument Plankton Recognition Via Fine-Grained Domain Adaptation
* Data compensation and feature fusion for sketch based person retrieval
* Data-driven cooperative adaptive cruise control for unknown nonlinear vehicle platoons
* Data-driven train delay prediction incorporating dispatching commands: An XGBoost-metaheuristic framework
* Dataset for Understanding Open UGC Video Datasets, A
* Day-to-Day Road Pricing and Network Performance Analysis via Output Stability
* DBSF-Net: Infrared Image Colorization Based on the Generative Adversarial Model with Dual-Branch Feature Extraction and Spatial-Frequency-Domain Discrimination
* DCCM: Dual Data Consistency Guided Consistency Model for Inverse Problems
* Dcctnet: Kidney Tumors Segmentation Based on Dual-Level Combination Of Cnn and Transformer
* DCFusion: Difference correlation-driven fusion mechanism of infrared and visible images
* DCPNet: Deformable Control Point Network for image enhancement
* Dealing with partial labels by knowledge distillation
* Deblurring Videos Using Spatial-Temporal Contextual Transformer With Feature Propagation
* DebSDF: Delving Into the Details and Bias of Neural Indoor Scene Reconstruction
* decision support system for acute lymphoblastic leukemia detection based on explainable artificial intelligence, A
* Declouding of Satellite Images for Crop Growth Monitoring Via Unrolling of Gradient Graph Laplacian Regularizer
* Decoding Scheme with Successive Aggregation of Multi-Level Features for Light-Weight Semantic Segmentation, A
* Decompl: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image
* Decoupled Knowledge Embedded Graph Convolutional Network for Skeleton-Based Human Action Recognition
* Decoupling Domain Invariance and Variance with Tailored Prompts for Open-Set Domain Adaptation
* Deep and Shallow Feature Fusion in Feature Score Level for Palmprint Recognition
* Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation
* Deep Clustering With Hybrid-Grained Contrastive and Discriminative Learning
* Deep Convolutional Neural Network Prediction for Glaucoma Detection Using OCT and OCT-Angiography Disc-and Macula-Centered Images and Their Combined Power
* Deep Deterministic Policy Gradient-Based Rate Maximization for RIS-UAV-Assisted Vehicular Communication Networks
* Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
* Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association
* Deep Fusion of Visible and Near Infrared Images for Registration and Defogging Using Cross Modal Transformer
* Deep handwritten diagram segmentation
* Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
* Deep Learning Application for Biodiversity Conservation and Educational Tourism in Natural Reserves
* Deep Learning Approach for Renal Cell Carcinoma Detection, Subtyping, And Grading
* deep learning approach for robust traffic accident information extraction from online chinese news, A
* Deep learning informed diffusion equation model for image denoising
* Deep Learning on Object-Centric 3D Neural Fields
* Deep Learning-Based Approximated Observation Sparse SAR Imaging via Complex-Valued Convolutional Neural Network
* Deep Learning-Based Emergency Rescue Positioning Technology Using Matching-Map Images
* Deep Learning-Based Leaf Image Analysis for Tomato Plant Disease Detection and Classification
* Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors
* Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals
* Deep Non-Rigid Structure-From-Motion: A Sequence-to-Sequence Translation Perspective
* Deep Optical Flow Learning with Deformable Large-Kernel Cross-Attention
* Deep Probabilistic Forecasting of Multivariate Count Data With Sums and Shares Distributions: A Case Study on Pedestrian Counts in a Multimodal Transport Hub
* Deep Regularization for Scale-Agnostic Superresolution of MR Images
* Deep Reinforcement Learning for Channel Traffic Scheduling in Dry Bulk Export Terminals
* deep review of video super-resolution, A
* Deep Single Image Defocus Deblurring via Gaussian Kernel Mixture Learning
* Deep Spectral Siamese Network for Heterogeneous Object Verification in Amazon Robotic Warehouse
* Deep Unfolding Network for Multispectral and Hyperspectral Image Fusion, A
* Deep video steganography using temporal-attention-based frame selection and spatial sparse adversarial attack
* Deep-Learning for Change Detection Using Multi-Modal Fusion of Remote Sensing Images: A Review
* Deep-Learning-Based Magnetic Resonance Simultaneous Multislice Imaging Using Holographic Image Decoding
* DeepAGS: Deep learning with activity, geography and sequential information in predicting an individual's next trip destination
* DeepFake detection method based on multi-scale interactive dual-stream network
* Deepfake Detection Via Separable Self-Consistency Learning
* Deepfake Detection With Combined Unsupervised-Supervised Contrastive Learning
* Deeply Hybrid Contrastive Learning Based on Semantic Pseudo-Label for Salient Object Detection in Optical Remote Sensing Images
* DeepMulticut: Deep Learning of Multicut Problem for Neuron Segmentation From Electron Microscopy Volume
* Deepskinformer: Skin Lesion Segmentation Using Hierarchical Transformers And Edge Enhancement
* DeepSpoof: Deep Reinforcement Learning-Based Spoofing Attack in Cross-Technology Multimedia Communication
* DeepTensor: Low-Rank Tensor Decomposition With Deep Network Priors
* Defending Against Physical Adversarial Patch attacks on Infrared Human Detection
* Dehazing Ultrasound Using Diffusion Models
* Delving into the Explainability of Prototype-Based CNN for Biological Cell Analysis
* Denoising Diffusion Probabilistic Model for Face Sketch-to-Photo Synthesis
* Denoising Diffusion Probabilistic Model for Metal Artifact Reduction in CT, A
* Density change consistency clustering from density extreme
* Density-Guided Dense Pseudo Label Selection for Semi-Supervised Oriented Object Detection
* Depth Estimation From Surface-Ground Correspondence for Monocular 3D Object Detection
* Design of Exterior Orientation Parameters Variation Real-Time Monitoring System in Remote Sensing Cameras
* Detail-Preserving and Diverse Image Translation for Adverse Visual Object Detection
* DeTAL: Open-Vocabulary Temporal Action Localization With Decoupled Networks
* Detectability of Defects in the Presence of Linear Nuisance Parameters and Images Signal-Dependent Noise
* Detecting and Tracking 6-DoF Motion of Unknown Dynamic Objects in Industrial Environments Using Stereo Visual Sensing
* Detecting Biomedical Copy-Move forgery by Attention-Based Multiscale Deep Descriptors
* Detecting Drought-Related Temporal Effects on Global Net Primary Productivity
* Detecting Urban Traffic Anomalies Using Traffic-Monitoring Data
* Detecting Water Stress in Winter Wheat Based on Multifeature Fusion from UAV Remote Sensing and Stacking Ensemble Learning Method
* Detection of Complex Formations in an Inland Lake from Sentinel-2 Images Using Atmospheric Corrections and a Fully Connected Deep Neural Network
* Detection of Floating Algae Blooms on Water Bodies Using PlanetScope Images and Shifted Windows Transformer Model
* Detection of Pavement Cracks by Deep Learning Models of Transformer and UNet
* Detection of Ship Wakes in Dynamic Sea Surface Video Sequences: A Data-Driven Approach
* Detection of Vertebrate Skeletons by Ground Penetrating Radars: An Example from the Ica Desert Fossil-Lagerstätte
* Deterministic Gradient-Descent Learning of Linear Regressions: Adaptive Algorithms, Convergence Analysis and Noise Compensation
* Developing RTI IMS Software to Autonomously Manage Road Surface Quality, Adapting to Environmental Impacts
* Development of Vertical Radar Reflectivity Profiles Based on Lightning Density Using the Geostationary Lightning Mapper Dataset in the Subtropical Region of Brazil
* DFCNet+: Cross-modal dynamic feature contrast net for continuous sign language recognition
* DFEDC: Dual fusion with enhanced deformable convolution for medical image segmentation
* DHM-Net: Deep Hypergraph Modeling for Robust Feature Matching
* Diabetic retinopathy data augmentation and vessel segmentation through deep learning based three fully convolution neural networks
* Diagnosis of Parkinson's Disease Based on Hybrid Fusion Approach of Offline Handwriting Images
* Dictionary Based Approach for Removing Out-of-Focus Blur, A
* dictionary learning based unsupervised neural network for single image compressed sensing, A
* Diff-Font: Diffusion Model for Robust One-Shot Font Generation
* Diff-STAR: Exploring student-teacher adaptive reconstruction through diffusion-based generation for image harmonization
* DifFace: Blind Face Restoration With Diffused Error Contraction
* Differentiable Duration Refinement Using Internal Division for Non-Autoregressive Text-to-Speech
* Differential Image-Based Scalable YOLOv7-Tiny Implementation for Clustered Embedded Systems
* Diffusion Model Translator for Efficient Image-to-Image Translation, A
* Diffusion process with structural changes for subspace clustering
* Dimensionality Reduction via Multiple Neighborhood-Aware Nonlinear Collaborative Analysis for Hyperspectral Image Classification
* Directional and Topological Transformer with Topology Priors for 4D Cellular Image Segmentation
* Directional Antenna Systems for Long-Range Through-Wall Human Activity Recognition
* DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs
* Discovering Electric Vehicle Charging Locations Based on Clustering Techniques Applied to Vehicular Mobility Datasets
* Discriminability-Aware Intermediate Domains for Mismatched Steganalysis
* Disentangled Knowledge Distillation for Unified Multi-Class Anomaly Detection
* Disentangled Representation Learning
* Disparate Disaster: Spatial Patterns of Building Damage Caused by Hurricane Ian and Associated Socio-Economic Factors, A
* Distance distributions and runtime analysis of perceptual hashing algorithms
* Distance Regression Enhanced With Temporal Information Fusion and Adversarial Training for Robot-Assisted Endomicroscopy
* Distilling efficient Vision Transformers from CNNs for semantic segmentation
* Distilling OCT cervical dataset with evidential uncertainty proxy
* Distinctive Image Captioning: Leveraging Ground Truth Captions in Clip Guided Reinforcement Learning
* Distributed Adaptive Platooning Control of Connected Vehicles With Markov Switching Topologies
* Distributed Prescribed-Time Formation Control for Underactuated Surface Vehicles With Input Saturation: Theory and Experiment
* Distribution-Based Approach for Efficient Storage and Indexing of Massive Infrared Hyperspectral Sounding Data
* Diurnal Cycles of Cloud Properties and Precipitation Patterns over the Northeastern Tibetan Plateau During Summer
* Diverse Data Generation for Retinal Layer Segmentation With Potential Structure Modeling
* Diversified Task Augmentation with Redundancy Reduction for Cross-Domain Few-Shot Learning
* Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
* Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space
* Divert More Attention to Vision-Language Object Tracking
* Diving deep into human action recognition in aerial videos: A survey
* DiZNet: An end-to-end text detection and recognition algorithm with detail in text zone
* DJUHNet: A deep representation learning-based scheme for the task of joint image upsampling and hashing
* DK-Former: A Hybrid Structure of Deep Kernel Gaussian Process Transformer Network for Enhanced Traffic Sign Recognition
* DMITS: Dependency and Mobility-Aware Intelligent Task Scheduling in Socially-Enabled VFC Based on Federated DRL Approach
* Do as Sonographers Think: Contrast-Enhanced Ultrasound for Thyroid Nodules Diagnosis via Microvascular Infiltrative Awareness
* DOA Estimation of GNSS Signals Based on Deconvolved Conventional Beamforming
* Domain Dilation for Single Domain Generalization
* Domain-Adaptive Energy-Based Models for Generalizable Face Anti-Spoofing
* DoseDiff: Distance-Aware Diffusion Model for Dose Prediction in Radiotherapy
* Downstream-Pretext Domain Knowledge Traceback for Active Learning
* Draft - Distilled Recurrent All-Pairs Field Transforms for Optical Flow
* Driver distraction and fatigue detection in images using ME-YOLOv8 algorithm
* Driving a safer future: Exploring cross-country perspectives in automated vehicle adoption by considering cyber risks, liability, and data concerns
* Driving Behavior Model for Multi-Vehicle Interaction at Uncontrolled Intersections Based on Risk Field Considering Drivers' Visual Field Characteristics
* Driving mutual advancement of 3D reconstruction and inpainting for masked faces
* Driving Through Graphs: a Bipartite Graph for Traffic Scene Analysis
* DRL-KeyAgree: An Intelligent Combinatorial Deep Reinforcement Learning-Based Vehicular Platooning Secret Key Generation
* DRNet: Learning a dynamic recursion network for chaotic rain streak removal
* Drone SAR Imaging for Monitoring an Active Landslide Adjacent to the M25 at Flint Hall Farm
* DSC-Recon: Dual-Stage Complementary 4-D Organ Reconstruction From X-Ray Image Sequence for Intraoperative Fusion
* DSFormer-LRTC: Dynamic Spatial Transformer for Traffic Forecasting With Low-Rank Tensor Compression
* DSM Reconstruction from Uncalibrated Multi-View Satellite Stereo Images by RPC Estimation and Integration
* Dtpose: Learning Disentangled Token Representation for Effective Human Pose Estimation
* DTSN: No-Reference Image Quality Assessment via Deformable Transformer and Semantic Network
* Dual Attention Enhanced Transformer for Image Defocus Deblurring
* dual attentional skip connection based Swin-UNet for real-time cloud segmentation, A
* Dual Input Stream Transformer for Vertical Drift Correction in Eye-Tracking Reading Data
* Dual knowledge-guided two-stage model for precise small organ segmentation in abdominal CT images
* Dual Multi-Modal Feature Fusion Network for the Evaluation of Osteosarcoma
* Dual-branch underwater image enhancement network via multiscale neighborhood interaction attention learning
* dual-channel network based on occlusion feature compensation for human pose estimation, A
* Dual-Domain Collaboration Network for VCS Reconstruction, A
* Dual-Domain Collaborative Diffusion Sampling for Multi-Source Stationary Computed Tomography Reconstruction
* Dual-Domain Feature Fusion and Multi-Level Memory-Enhanced Network for Spectral Compressive Imaging
* Dual-Feature Fusion Learning: An Acoustic Signal Recognition Method for Marine Mammals
* Dual-Grained Lightweight Strategy
* Dual-Path Coupled Image Deraining Network Via Spatial-Frequency Interaction
* Dual-Pixel Raindrop Removal
* Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation
* Dunhuang mural inpainting based on reference guidance and multi-scale fusion
* Duration-aware and mode-aware micro-expression spotting for long video sequences
* DWW: Robust Deep Wavelet-Domain Watermarking With Enhanced Frequency Mask
* Dynamic 3D Point Cloud Sequences as 2D Videos
* Dynamic Activation Function Based on the Branching Process and its Application in Image Classification
* Dynamic Adaptive Decision-Making Method for Autonomous Navigation of Ships in Coastal Waters
* Dynamic Changes and Driving Factors in the Surface Area of Ebinur Lake over the Past Three Decades
* Dynamic convolutional time series forecasting based on adaptive temporal bilateral filtering
* Dynamic Earthquake-Induced Landslide Susceptibility Assessment Model: Integrating Machine Learning and Remote Sensing
* Dynamic Hypergraph Convolutional Network for No-Reference Point Cloud Quality Assessment
* Dynamic Loss Balancing and Sequential Enhancement for Road-Safety Assessment and Traffic Scene Classification
* Dynamic MRI Reconstruction Using Low-Rank Plus Sparse Decomposition With Smoothness Regularization
* Dynamic Origin-Destination Flow Imputation Using Feature-Based Transfer Learning
* Dynamic Spatiotemporal Straight-Flow Network for Efficient Learning and Accurate Forecasting in Traffic
* Dynamic Weighting and Boundary-Aware Active Domain Adaptation for Semantic Segmentation in Autonomous Driving Environment
* Dynamic-Guided Spatiotemporal Attention for Echocardiography Video Segmentation
* DynaQuadric: Dynamic Quadric SLAM for Quadric Initialization, Mapping, and Tracking
* D³STN: Dynamic Delay Differential Equation Spatiotemporal Network for Traffic Flow Forecasting
* E-Argus: Drones Detection by Side-Channel Signatures via Electromagnetic Radiation
* E2GS: Event Enhanced Gaussian Splatting
* E2SIFT: Neuromorphic SIFT via Direct Feature Pyramid Recovery from Events
* Early Detection of Dendroctonus valens Infestation with UAV-Based Thermal and Hyperspectral Images
* Early Prediction Of The Transferability of Bovine Embryos from Videomicroscopy
* EarthquakeNet: A High-Resolution UAV-Based Dataset for Earthquake Damage Assessment
* EasyDGL: Encode, Train and Interpret for Continuous-Time Dynamic Graph Learning
* EBMGC-GNF: Efficient Balanced Multi-View Graph Clustering via Good Neighbor Fusion
* ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation
* EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving
* Economical Electric Vehicle Charging Scheduling via Deep Imitation Learning
* Edge Perception Camouflaged Object Detection Under Frequency Domain Reconstruction
* Edge-Aware Attention Transformer for Image Super-Resolution
* Edge-Guided Pixel Level Connected Component Assisted Camouflaged Object Detection
* Edge-Reserved Knowledge Distillation for Image Matting
* Editorial: Special Issue on Light Field Imaging
* EENet: An effective and efficient network for single image dehazing
* Effect of a Parcel-Aggregated Cropping Structure Mapping Method in Irrigation-Water Estimation in Arid Regions: A Case Study of the Weigan River Basin in Xinjiang, The
* Effective image compression using hybrid DCT and hybrid capsule auto encoder for brain MR images
* Effects of Climate Change on Temperature Sensitivity of Vegetation Growth in Huang-Huai-Hai Plain: Spatial-Temporal Dynamics and Ecological Adaptability
* Efficiency of Optimized Approaches for Gravity Operator Modeling
* Efficient Adaptive Feature Fusion Network for Remote-Sensing Image Super-Resolution
* Efficient Adversarial Attack Strategy Against 3D Object Detection in Autonomous Driving Systems
* Efficient and Robust Freeway Traffic Speed Estimation Under Oblique Grid Using Vehicle Trajectory Data
* Efficient Black-Box Adversarial Attack on Deep Clustering Models
* Efficient Certificateless Anonymous Mutual Authentication in WBANs for Smart Healthcare
* Efficient Circular and Confocal Non-Line-Of-Sight Imaging With Transient Sinogram Super Resolution
* Efficient dense attention fusion network with channel correlation loss for road damage detection
* Efficient Gated-Attention Spatiotemporal Convolutional Network for Economical Operation of Electric Vehicle Charging Stations, An
* Efficient Learned Wavelet Image and Video Coding
* Efficient license plate recognition in unconstrained scenarios
* Efficient Masked Autoencoders With Self-Consistency
* Efficient masked feature and group attention network for stereo image super-resolution
* Efficient Multi-View Stereo by Dynamic Cost Volume and Cross-Scale Propagation
* Efficient Neural Collaborative Search for Pickup and Delivery Problems
* Efficient Optimization-Based Trajectory Planning for Unmanned Systems in Confined Environments
* Efficient Phase Step Determination Approach for Four-Quadrant Wind Imaging Interferometer
* Efficient Semantic Segmentation for Aerial Imagery Using Query Points and Superpixel Supervision
* Efficient Semantic Segmentation for Large-Scale Agricultural Nursery Managements via Point Cloud-Based Neural Network
* Efficient Swin Transformer for Remote Sensing Image Super-Resolution
* Efficient Training Acceleration via Sample-Wise Dynamic Probabilistic Pruning
* Efficient Vibrotactile Codec Based on Nbeats Network
* Efficient Visual Question Answering on Embedded Devices: Cross-Modality Attention with Evolutionary Quantization
* EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training
* eFFT: An Event-Based Method for the Efficient Computation of Exact Fourier Transforms
* EL-BIOS Earth Observation Data Cube for Supporting Biodiversity Monitoring in Greece, The
* Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation
* Elodi: Ensemble Logit Difference Inhibition for Positive-Congruent Training
* Embedding Attention Blocks for Answer Grounding
* EMDSQA: A Neural Speech Quality Assessment Model With Speaker Embedding
* Emitter Signal Deinterleaving Based on Single PDW with Modulation-Hypothesis-Augmented Transformer
* Emotion recognition in user-generated videos with long-range correlation-aware network
* EmotionGesture: Audio-Driven Diverse Emotional Co-Speech 3D Gesture Generation
* Empirical Algorithm for Estimating the Absorption of Colored Dissolved Organic Matter from Sentinel-2 (MSI) and Landsat-8 (OLI) Observations of Coastal Waters, An
* Empirical Research on Quantization for 3D Multi-Modal ViT Models
* Enabling Continuous Operation of Shared Autonomous Vehicles With Dynamic Wireless Charging
* End-to-End Autonomous Driving: Challenges and Frontiers
* End-to-End Learned Lossy Dynamic Point Cloud Attribute Compression
* End-to-End Learned Scalable Multilayer Feature Compression for Machine Vision Tasks
* Energy Management Based on Mixed-Integer Nonlinear Model Predictive Control for Hybrid Electric Vehicles
* Energy Reduction Opportunities in HDR Video Encoding
* Energy-Based Domain Adaptation Without Intermediate Domain Dataset for Foggy Scene Segmentation
* Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach
* Enhanced Detection of Small Objects in Aerial Imagery: A High-Resolution Neural Network Approach with Amplified Feature Pyramid and Sigmoid Re-Weighting
* Enhanced Facial Restoration with Misinformation-Filtered Guide-Denoising Diffusion Probabilistic Models
* Enhanced Multispectral Band-to-Band Registration Using Co-Occurrence Scale Space and Spatial Confined RANSAC Guided Segmented Affine Transformation
* Enhanced Precipitation Nowcasting via Temporal Correlation Attention Mechanism and Innovative Jump Connection Strategy
* Enhanced Prototypical Part Network (EPPNet) for Explainable Image Classification Via Prototypes
* Enhanced Radar Anti-Jamming With Multi-Agent Reinforcement Learning
* Enhancing Adhesion Performance of High-Speed Trains Using Active Synergy of Electromagnetic Actuator and Anti-Slip Control
* Enhancing Agricultural Productivity: Integrating Remote Sensing Techniques for Cotton Yield Monitoring and Assessment
* Enhancing Algal Bloom Level Monitoring with CYGNSS and Sentinel-3 Data
* Enhancing Cyber-Resilience in Electric Vehicle Charging Stations: A Multi-Agent Deep Reinforcement Learning Approach
* Enhancing Hyperspectral Anomaly Detection Algorithm Comparisons: Leveraging Dataset and Algorithm Characteristics
* Enhancing Intubation Accuracy: Advanced Tracheal Segmentation Techniques in Video Endoscopy
* Enhancing low-light images with lightweight fused fixed-directional filters network
* Enhancing Multi-Object Tracking Through Distributed Information Fusion in Connected Vehicle Networks
* Enhancing Perceptual Quality Assessment for 360-Degree Images Based on Adaptive Patch Labeling and Multi-Label Learning
* Enhancing Rare Object Detection on Roadways Through Conditional Diffusion Models for Data Augmentation
* Enhancing reinforcement learning-based ramp metering performance at freeway uncertain bottlenecks using curriculum learning
* Enhancing road safety through misbehaviour detection in vehicle-to-everything systems of Korea
* Enhancing Robustness of Multi-Object Trackers With Temporal Feature Mix
* Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
* Enhancing Sound Source Localization via False Negative Elimination
* Enhancing the Precision of Forest Growing Stock Volume in the Estonian National Forest Inventory with Different Predictive Techniques and Remote Sensing Data
* Enhancing TMIV Performance Through Proximity-Aware Grouping and Preservation of Small Clusters
* Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model
* Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment
* Enhancing Vision and Language Navigation With Prompt-Based Scene Knowledge
* Enlarged Motion-Aware and Frequency-Aware Network for Compressed Video Artifact Reduction
* Ensemble of Deep Variational Mixture Models for Unsupervised Clustering
* EPMF: Efficient Perception-Aware Multi-Sensor Fusion for 3D Semantic Segmentation
* ER-MACG: An Extreme Precipitation Forecasting Model Integrating Self-Attention Based on FY4A Satellite Data
* ERAT: Eyeglasses removal with attention
* Error-Constrained Fixed-Time Dynamic Positioning of MSV With Saturated Event-Triggered Inputs
* ES-GNN: Generalizing Graph Neural Networks Beyond Homophily With Edge Splitting
* ES-L2-VGG16 Model for Artificial Intelligent Identification of Ice Avalanche Hidden Danger
* ESMformer: Error-aware self-supervised transformer for multi-view 3D human pose estimation
* Essential Number of Principal Components and Nearly Training-Free Model for Spectral Analysis
* Estate: Expert-Guided State Text Enhancement for Zero-Shot Industrial Anomaly Detection
* Estimating a Route Travel Time Distribution Function With Segment Correlations Using Segment-Level Travel Time Data Only: A Moment-Based Method
* Estimating Carbon Stock in Unmanaged Forests Using Field Data and Remote Sensing
* Estimating Grassland Carrying Capacity in the Source Area of Nujiang River and Selinco Lake, Tibetan Plateau (2001-2020) Based on Multisource Remote Sensing
* Estimating Indoor Scene Depth Maps from Ultrasonic Echoes
* Estimation of Forest Growing Stock Volume with Synthetic Aperture Radar: A Comparison of Model-Fitting Methods
* Estimation of Glacier Outline and Volume Changes in the Vilcanota Range Snow-Capped Mountains, Peru, Using Temporal Series of Landsat and a Combination of Satellite Radar and Aerial LIDAR Images
* Estimation of Longwave Radiation Intensity Emitted from Urban Obstacles in Each Direction Using Drone-Based Photogrammetry
* Estimation of Malondialdehyde Content in Medicago truncatula under Salt Stress Based on Multi-Order Spectral Transformation Characteristics
* Estimation of PM2.5 Using Multi-Angle Polarized TOA Reflectance Data from the GF-5B Satellite
* Estimation of Regional Electricity Consumption Using National Polar-Orbiting Partnership's Visible Infrared Imaging Radiometer Suite Night-Time Light Data with Gradient Boosting Regression Trees
* Estimation of Surface Water Level in Coal Mining Subsidence Area with GNSS RTK and GNSS-IR
* Estimation of Urban Tree Chlorophyll Content and Leaf Area Index Using Sentinel-2 Images and 3D Radiative Transfer Model Inversion
* Estimation of video sequence homography based on a first-order estimation method
* Estimator: An Effective and Scalable Framework for Transportation Mode Classification Over Trajectories
* ET: Explain to Train: Leveraging Explanations to Enhance the Training of a Multimodal Transformer
* ETFormer: An Efficient Transformer Based on Multimodal Hybrid Fusion and Representation Learning for RGB-D-T Salient Object Detection
* ETM-Based Fault-Tolerant and Intrusion-Tolerant Control for 2-D Planar Vehicular Platoon With Actual Traffic Scenarios
* Euler Kernel Mapping for Hyperspectral Image Clustering via Self-Paced Learning
* EuroCity Persons 2.0: A Large and Diverse Dataset of Persons in Traffic
* Evaluating 3D Human Pose Estimation in Occluded Multi-Sensor Scenarios: Dataset and Annotation Approach
* Evaluating Burn Severity and Post-Fire Woody Vegetation Regrowth in the Kalahari Using UAV Imagery and Random Forest Algorithms
* Evaluating ICESat-2 and GEDI with Integrated Landsat-8 and PALSAR-2 for Mapping Tropical Forest Canopy Height
* Evaluating Maize Residue Cover Using Machine Learning and Remote Sensing in the Meadow Soil Region of Northeast China
* Evaluating Stability and Performance in Mixed Traffic: A Theoretical and Co-Simulation Approach
* Evaluating the Effects of Wetland Restoration on Ecosystem Services Using InVEST and Geostatistics: A Case Study of Dongting Lake in China
* Evaluating the Impact of Interferogram Networks on the Performance of Phase Linking Methods
* Evaluating the Multidimensional Stability of Regional Ecosystems Using the LandTrendr Algorithm
* Evaluation and Prediction of Ecological Benefits in Song-Liao River Basin
* Evaluation Metrics for Intelligent Generation of Graphical Game Assets: A Systematic Survey-Based Framework
* Evaluation of Boundary Layer Characteristics at Mount Si'e Based on UAV and Lidar Data
* Evaluation of large-scale cycling environment by using the trajectory data of dockless shared bicycles: A data-driven approach
* Evaluation of Sentinel-3 SYN VGT Products in Comparison to the SPOT/VEGETATION and PROBA-V Archives, An
* Evaluation of the Predictive Capability of CMA Climate Prediction System Model for Summer Surface Heat Source on the Tibetan Plateau
* EvCap: Element-Aware Video Captioning
* Event-Specific EEG-FNIRS Feature Fusion FOR Alzheimer's Disease Classification
* Event-Triggered Connectivity-Preserving Formation Control of Heterogeneous Multiple USVs
* EviPrompt: A Training-Free Evidential Prompt Generation Method for Adapting Segment Anything Model in Medical Images
* Evolution of Powell Basin (Antarctica), The
* Exemplar-Free Lifelong Person Re-identification via Prompt-Guided Adaptive Knowledge Consolidation
* Exert Diversity and Mitigate Bias: Domain Generalizable Person Re-identification with a Comprehensive Benchmark
* Experimental Analysis of Terahertz Wave Scattering Characteristics of Simulated Lunar Regolith Surface
* Experimental Investigation of Meter-Level Resolution Radar Measurement at Ka Band in Yellow Sea
* Experimental Study of Multi-Camera Infrastructure Perception for V2X-Assisted Automated Driving in Highway Merging
* Explainability Enhanced Object Detection Transformer With Feature Disentanglement
* Explainable Spectral Analysis for Light Field Image Quality Assessment, An
* Explaining 3D Object Detection Through Shapley Value-Based Attribution Map
* Explaining Representation Learning with Perceptual Components
* Explicit-implicit symmetric diffeomorphic deformable image registration with convolutional neural network
* Explicitly-Decoupled Text Transfer With Minimized Background Reconstruction for Scene Text Editing
* Exploiting Change Blindness to Reduce Bitrate and Display Luminance in Video Streaming
* Exploration of Class Center for Fine-Grained Visual Classification
* Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression
* Exploring Attention Mechanisms in Integration of Multi-Modal Information for Sign Language Recognition and Translation
* Exploring changes in residents' daily activity patterns through sequence visualization analysis
* Exploring Diversity-Based Active Learning for 3D Object Detection in Autonomous Driving
* Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer
* Exploring Inherent Consistency for Semi-Supervised Anatomical Structure Segmentation in Medical Imaging
* Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection
* Exploring Saliency Bias in Manipulation Detection
* Exploring Shared Perception and Control in Cooperative Vehicle-Intersection Systems: A Review
* Exploring Spatio-Temporal Dynamics of Future Extreme Precipitation, Runoff, and Flood Risk in the Hanjiang River Basin, China
* Exploring the Impact of Moire Pattern on Deepfake Detectors
* Exploring the Potential of Recurrence Quantification Analysis for Video Analysis and Motion Detection
* Exploring the Potential of Synthetic Data to Replace Real Data
* Exploring the synergy between textual identity and visual signals in human-object interaction
* Exploring the Use of High-Resolution Satellite Images to Estimate Corn Silage Yield Within Field
* Exploring Topological Information Beyond Persistent Homology to Detect Geospatial Objects
* Exposing the Limits of Deepfake Detection using novel Facial mole attack: A Perceptual Black- Box Adversarial Attack Study
* Exposing video surveillance object forgery by combining TSF features and attention-based deep neural networks
* ExposureNet: Mobile camera exposure parameters autonomous control for blur effect prevention
* Extended Multiple Cross-Component Linear Models with Adaptive Thresholding and Overlapped Averaging Beyond VVC
* Extending Segment Anything Model into Auditory and Temporal Dimensions for Audio-Visual Segmentation
* Extensive Analysis of Different Approaches to Driver Gaze Classification, An
* Extracting long-term spatiotemporal characteristics of traffic flow using attention-based convolutional transformer
* Extracting Wetlands in Coastal Louisiana from the Operational VIIRS and GOES-R Flood Products
* Extremely compact video representation for efficient near-duplicates detection
* Eyeglass Reflection Removal With Joint Learning of Reflection Elimination and Content Inpainting
* Face Drawing GAN by Channel Attention and Matrix Product Attention
* Face Morphing Detection in Social Media Content
* Face super resolution with a high frequency highway
* Factorized Embedding Graph Matching Network for Learning Lawler's Quadratic Assignment Problem
* Fanet: Feature Amplification Network for Semantic Segmentation in Cluttered Background
* Fantom: Federated Adversarial Network for Training Multi-Sequence Magnetic Resonance Imaging in Semantic Segmentation
* Fast adaptively balanced min-cut clustering
* Fast Coding Mode Prediction for Intra Prediction in VVC SCC
* Fast Constant-Quality Video Encoding Using VVENC With Rate Capping Based On Pre-Analysis Statistics
* Fast Edge-Aware Occlusion Detection in The Context of Multispectral Camera Arrays
* Fast Hyperspectral Image Classification with Strong Noise Robustness Based on Minimum Noise Fraction
* Fast Inter Mode Decision with Resolution Sampling for VVC 360-Degree Video Coding
* fast intra CU partition algorithm in Versatile Video Coding for 360-degree video, A
* Fast Learning of Signed Distance Functions From Noisy Point Clouds via Noise to Noise Mapping
* Fast Template Matching-Based Reference Picture Padding for Video Coding
* Fast Unsupervised Tensor Restoration via Low-Rank Deconvolution
* Fast-BEV: A Fast and Strong Bird's-Eye View Perception Baseline
* Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network With Token Migration
* Fast-Vid2Vid++: Spatial-Temporal Distillation for Real-Time Video-to-Video Synthesis
* FastFaceCLIP: A lightweight text-driven high-quality face image manipulation
* FAWN: Floor-and-Walls Normal Regularization for Direct Neural TSDF Reconstruction
* FC3DNET: A Fully Connected Encoder-Decoder for Efficient Demoiréing
* Feasibility of Emergency Flood Traffic Road Damage Assessment by Integrating Remote Sensing Images and Social Media Information
* Feature Decomposition Transformers for Infrared and Visible Image Fusion
* Feature Enhanced Learning Image Compression with Recurrent Criss-Cross Attention
* Feature extractor optimization for discriminative representations in Generalized Category Discovery
* Feature-Driven Inception Dilated Network for Infrared Image Super-Resolution Reconstruction, A
* Features Disentanglement for Explainable Convolutional Neural Networks
* FedAWA: Aggregation Weight Adjustment in Federated Domain Generalization
* FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients
* Federated Feature Augmentation and Alignment
* Federated finger vein presentation attack detection for various clients
* Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
* FEditNet++: Few-Shot Editing of Latent Semantics in GAN Spaces With Correlated Attribute Disentanglement
* FedMDO: Privacy-Preserving Federated Learning via Mixup Differential Objective
* FEDMI: A Federated Learning Framewoek for Secure Sharing of Medical Images
* FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
* Few-shot class incremental learning via prompt transfer and knowledge distillation
* Few-Shot Cross-Domain Object Detection with Instance-Level Prototype-Based Meta-Learning
* FewarNet: An Efficient Few-Shot View Synthesis Network Based on Trend Regularization
* FFPNet: Fine-Grained Feature Perception Network for Semantic Change Detection on Bi-Temporal Remote Sensing Images
* Field Programmable Gate Array (FPGA) Implementation of Parallel Jacobi for Eigen-Decomposition in Direction of Arrival (DOA) Estimation Algorithm
* Fine-Detailed Neural Indoor Scene Reconstruction Using Multi-Level Importance Sampling and Multi-View Consistency
* Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs
* Fine-Grained Satisfaction Analysis of In-Vehicle Infotainment Systems Using Improved Kano Model and Cumulative Prospect Theory
* Fine-Scaled Predictive Modeling of Road Surface Conditions and Temperature in Urban Areas
* Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation
* FireNet: A Lightweight and Efficient Multi-Scenario Fire Object Detector
* Fisheye Stereo Camera Using Fisheye Vertical Stereo Method
* FishFocusNet: An improved method based on YOLOv8 for underwater tropical fish identification
* Fishing Net Optimization: A Learning Scheme of Optimizing Multi-Lateration Stations in Air-Ground Vehicle Networks
* Fixed-Time Command Filter Fuzzy Adaptive Formation Control for Nonholonomic Multirobot Systems With Unknown Dead-Zones
* flare removal network for night vision perception: Resistant to the interference of complex light, A
* FlexAE: A Self-Conditioned Detector To Prevent Model Overfitting for Unsupervised Video Anomaly Detection
* FlexibleCP: A data augmentation strategy for traffic sign detection
* Floodwater Extraction from UAV Orthoimagery Based on a Transformer Model
* FM-YOLOv8:Lightweight gesture recognition algorithm
* Food: Facial Authentication and Out-Of-Distribution Detection with Short-Range FMCW Radar
* Footbots: A Transformer-Based Architecture for Motion Prediction in Soccer
* Fourier Ptychography Microscopy with Integrated Positional Misalignment Correction
* Fourier Ptychography with Information Entropy Based No-Reference Image Quality Assessment Learning
* Framework for Subregion Ensemble Learning Mapping of Land Use/Land Cover at the Watershed Scale, A
* Free-Form Composition Networks for Egocentric Action Recognition
* FREGNet: Ship Recognition Based on Feature Representation Enhancement and GCN Combiner in Complex Environment
* FREQ-MIP-AA: Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields
* Frequency domain task-adaptive network for restoring images with combined degradations
* Frequency Selecting Method for High-Frequency Communication Based on Ionospheric Oblique Backscatter Sounding, A
* Frequency-Aware Feature Fusion for Dense Image Prediction
* Frequency-Spatial Domain Information Fusion Network for Pan-Sharpening
* From Data to Decision: Interpretable Machine Learning for Predicting Flood Susceptibility in Gdansk, Poland
* From Spectral Characteristics to Index Bands: Utilizing UAV Hyperspectral Index Optimization on Algorithms for Estimating Canopy Nitrogen Concentration in Carya Cathayensis Sarg
* Fruit fast tracking and recognition of apple picking robot based on improved YOLOv5
* Full-Reference Point Cloud Quality Assessment Using Spectral Graph Wavelets
* fused score computation approach to reflect the overlap between the predicted box and the ground truth in pedestrian detection, A
* Fusion of Independent and Interactive Features for Human-Object Interaction Detection
* Fusion-Based Approach for Blind Contrast-Enhanced Image Ranking, A
* Fuzzy-Logic-Based Approach for Eliminating Interference Lines in Micro Rain Radar (MRR-2), A
* Gabic: Graph-Based Attention Block for Image Compression
* Gabor Feature Network for Transformer-Based Building Change Detection Model in Remote Sensing
* Gaitgs: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition
* GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation
* Game-Theory in Practice: Application to Motion Planning and Decision Making in an Autonomous Shuttle Bus
* Gaseous Object Detection
* GASSF-Net: Geometric Algebra Based Spectral-Spatial Hierarchical Fusion Network for Hyperspectral and LiDAR Image Classification
* GC2: Generalizable Continual Classification of Medical Images
* GC3: Grouped convolutional color constancy
* GEEG-YOLOv8: Gaussian Enhanced Euclidean Norm Ghost Attention for Real-Time Polyp Detection
* General Optimization Methods for YOLO Series Object Detection in Remote Sensing Images
* Generalizable Causal-Invariance-Driven Segmentation Model for Peripancreatic Vessels, A
* Generalizable Metric Network for Cross-Domain Person Re-Identification
* Generalized Nested Latent Variable Models for Lossy Coding Applied to Wind Turbine Scenarios
* Generalized Parametric Contrastive Learning
* Generate DSLR-Like Image with Global Information and Prior Guided ISP
* Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression
* Generation of Risky Scenarios for Testing Automated Driving Visual Perception Based on Causal Analysis
* Generative Visual Compression: A Review
* Gengmm: Generalized Gaussian-Mixture-Based Domain Adaptation Model for Semantic Segmentation
* GeoDTR+: Toward Generic Cross-View Geolocalization via Geometric Disentanglement
* Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation
* Geometry-semantic aware for monocular 3D Semantic Scene Completion
* Geomorphological Insights to Analyze the Kinematics of a DSGSD in Western Sicily (Southern Italy)
* Geophysical Investigation in Which 3D Electrical Resistivity Tomography and Ground-Penetrating Radar Are Used to Determine Singularities in the Foundations of the Protected Historic Tower of Murcia Cathedral (Spain), A
* GEXMERT: Geometrically enhanced cross-modality encoder representations from transformers inspired by higher-order visual percepts
* Ghost Removal from Forward-Scan Sonar Views near the Sea Surface for Image Enhancement and 3-D Object Modeling
* GINet: Graph Interactive Network with Semantic-Guided Spatial Refinement for Salient Object Detection in Optical Remote Sensing Images
* Giraffe: A Genetic Programming Algorithm To Build Deep Learning Ensembles for ECG Arrhythmia Classification
* Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers
* Global attention module and cascade fusion network for steel surface defect detection
* Global information aware network with global interaction graph attention for infrared small target detection
* Global information regulation network for multimodal sentiment analysis
* Global Ionospheric Response During Extreme Geomagnetic Storm in May 2024
* Globally and locally optimized Pannini projection for high FoV rendering of 360° images
* GNSS Carrier Phase Improvement Using a MEMS INS-Aided Long Coherent Architecture for High Precision Navigation
* GR-Former: Graph-reinforcement transformer for skeleton-based driver action recognition
* Gradient Harmonization in Unsupervised Domain Adaptation
* Gradient Inversion Attacks: Impact Factors Analyses and Privacy Enhancement
* Gradient-Level Differential Privacy Against Attribute Inference Attack for Speech Emotion Recognition
* Gradtrans: Transformer-Based Gradient Guidance for Image Generation
* Graph Convolutional Networks with Minimal Appearance Information for Action Recognition
* Graph Denoising With Framelet Regularizers
* Graph Multi-Convolution and Attention Pooling for Graph Classification
* Graph neural networks as strategic transport modelling alternative: A proof of concept for a surrogate
* Graph Regulation Network for Point Cloud Segmentation
* Graph-Based Spatio-Temporal Semantic Reasoning Model for Anti-Occlusion Infrared Aerial Target Recognition
* Graphic: Graph-Based Representation for Analyzing People's High-Level Interactions in Crowds
* GraphMLP: A graph MLP-like architecture for 3D human pose estimation
* GRAZ Method: Determination of Urban Surface Temperatures from Aerial Thermography Based on a Three-Dimensional Sampling Algorithm, The
* GRiD: Guided Refinement for Detector-Free Multimodal Image Matching
* Gridless Maximum Likelihood One-Bit Direct Position Determination
* Ground4Act: Leveraging visual-language model for collaborative pushing and grasping in clutter
* Group link prediction in bipartite graphs with graph neural networks
* GroupedMixer: An Entropy Model With Group-Wise Token-Mixers for Learned Image Compression
* GroupMorph: Medical Image Registration via Grouping Network With Contextual Fusion
* GSSF: Generalized Structural Sparse Function for Deep Cross-Modal Metric Learning
* GSTGM: Graph, spatial-temporal attention and generative based model for pedestrian multi-path prediction
* GT-CAM: Game Theory Based Class Activation Map for GCN
* Guaranteed Coverage Prediction Intervals With Gaussian Process Regression
* Guided Context Gating: Learning To Leverage Salient Lesions in Retinal Fundus Images
* Gumbel-NeRF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields
* Hand-Object Reconstruction Via Interaction-Aware Graph Attention Mechanism
* Hard Convex-Shape Constraint in DNNs for Object Segmentation, A
* Harmonized Approach: Beyond-the-Limit Control for Autonomous Vehicles Balancing Performance and Safety in Unpredictable Environments, A
* Hazards Prioritization With Cognitive Attention Maps for Supporting Driving Decision-Making
* HC2L: Hybrid and Cooperative Contrastive Learning for Cross-Lingual Spoken Language Understanding
* HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement
* HCPVF: Hierarchical Cascaded Point-Voxel Fusion for 3D Object Detection
* HDF-Net: Capturing Homogeny Difference Features to Localize the Tampered Image
* Hdplifter: Hierarchical Dynamics Perception for 2D-to-3D Human Pose Lifting
* HDR-ChipQA: No-reference quality assessment on High Dynamic Range videos
* Heatmap-Supplemented R-CNN Trained Using an Inflated IoU for Small Object Detection, A
* Helmert Transformation Problem. From Euler Angles Method to Quaternion Algebra
* Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System, A
* Heterogeneous traffic intersections control design based on reinforcement learning
* Heuristic-Based Multi-Agent Deep Reinforcement Learning Approach for Coordinating Connected and Automated Vehicles at Non-Signalized Intersection
* HF2TNet: A Hierarchical Fusion Two-Stage Training Network for Infrared and Visible Image Fusion
* HFVOS: History-Future Integrated Dynamic Memory for Video Object Segmentation
* Hidden Archaeological Remains in Heterogeneous Vegetation: A Crop Marks Study in Fortified Settlements of Northwestern Iberian Peninsula
* HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
* Hiding image with inception transformer
* Hierarchical Analysis of Miombo Woodland Spatial Dynamics in Lualaba Province (Democratic Republic of the Congo), 1990-2024: Integrating Remote Sensing and Landscape Ecology Techniques
* Hierarchical Coarse-Fine Adaptive Fusion Network for the Joint Classification of Hyperspectral and LiDAR Data, A
* Hierarchical Graph Interaction Transformer With Dynamic Token Clustering for Camouflaged Object Detection
* Hierarchical Heterogeneous Multi-Agent Cross-Domain Search Method Based on Deep Reinforcement Learning
* Hierarchical Mixed-Precision Post-Training Quantization for SAR Ship Detection Networks
* Hierarchical Noise-Tolerant Meta-Learning With Noisy Labels
* Hierarchical Vertex-Wise Intensification Graph Convolution for Skeleton-Based Activity Recognition
* Hierarchically Recognizing Vector Graphics and A New Chart-Based Vector Graphics Dataset
* HierCode: A lightweight hierarchical codebook for zero-shot Chinese text recognition
* High-capacity reversible data hiding in encrypted images based on adaptive block coding selection
* High-Fidelity and Efficient Pluralistic Image Completion With Transformers
* High-performance mitosis detection using single-level feature and hybrid label assignment
* High-Precision Disparity Estimation for Lunar Scene Using Optimized Census Transform and Superpixel Refinement
* High-Resolution Collaborative Forward-Looking Imaging Using Distributed MIMO Arrays
* High-Resolution Remote Sensing Road Extraction Method Based on the Coupling of Global Spatial Features and Fourier Domain Features, A
* High-Resolution SAR-to-Multispectral Image Translation Based on S2MS-GAN
* Highly Constrained Coded Aperture Imaging Systems Design Via a Knowledge Distillation Approach
* Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos
* HiSC4D: Human-Centered Interaction and 4D Scene Capture in Large-Scale Space Using Wearable IMUs and LiDAR
* HIST: Hierarchical and sequential transformer for image captioning
* Histohdr-Net: Histogram Equalization for Single LDR to HDR Image Translation
* HoloGesture: A Multimodal Dataset for Hand Gesture Recognition Robust to Hand Textures on Head-Mounted Mixed-Reality Devices
* Homogeneous and heterogeneous relational graph for visible-infrared person re-identification
* HOPE: A Hierarchical Perspective for Semi-Supervised 2D-3D Cross-Modal Retrieval
* HOPE: High-Order Polynomial Expansion of Black-Box Neural Networks
* How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification
* How to reduce the influence of special vehicles on traffic flow? A Dogit-ABM approach
* How to Train Your VAE
* HPIDN: A Hierarchical prior-guided iterative denoising network with global-local fusion for enhancing low-dose CT images
* HTR-VT: Handwritten text recognition with vision transformer
* Hue-Preserving Contrast Enhancement Method Using Histogram Specification for Each RGB Component, A
* Human-Centric Behavior Description in Videos: New Benchmark and Model
* Human-Inspired Anticipative Cruise Control for Enhancing Mixed Traffic Flow
* Human-Vehicle Shared Steering Control for Obstacle Avoidance: A Reference-Free Approach With Reinforcement Learning
* Hybrid All-in-Focus Imaging From Neuromorphic Focal Stack
* Hybrid Decision-Making for Intelligent High-Speed Train Operation: A Boundary Constraint and Pre-Evaluation Reinforcement Learning Approach
* Hybrid Refractive and Diffractive Testing Method for Free-Form Convex Mirror in High-Resolution Remote-Sensing Cameras
* Hybrid Single Input and Multiple Output Method For Compressing Features Towards Machine Vision Tasks
* Hydraulics of Time-Variable Water Surface Slope in Rivers Observed by Satellite Altimetry
* Hyperspectral Image Classification With Fuzzy Spatial-Spectral Class Discriminate Information
* HyperStyle3D: Text-Guided 3D Portrait Stylization via Hypernetworks
* IBFusion: An Infrared and Visible Image Fusion Method Based on Infrared Target Mask and Bimodal Feature Extraction Strategy
* Ice Sheet Mass Changes over Antarctica Based on GRACE Data
* IGCN: A Provably Informative GCN Embedding for Semi-Supervised Learning With Extremely Limited Labels
* IIS-FVIQA: Finger Vein Image Quality Assessment with intra-class and inter-class similarity
* Illumination Distribution-Aware Thermal Pedestrian Detection
* Illumination-Enhanced Infrared and Low-Light Visible Image Fusion
* illumination-guided dual attention vision transformer for low-light image enhancement, An
* illumination-guided dual-domain network for image exposure correction, An
* ILN-SSR: Improved Logarithmic Norm and Sparse Structure Refinement for Infrared Small Target Detection
* Image Coding for Machine Via Analytics-Driven Appearance Redundancy Reduction
* Image Coding For Machines With Edge Information Learning Using Segment Anything
* Image Decomposition-Guided Network for Image Interpolation, An
* Image dehazing via self-supervised depth guidance
* Image quilting heuristic compressed sensing video privacy protection coding for abnormal behavior detection in private scenes
* Image-Based Beam Tracking With Deep Learning for mmWave V2I Communication Systems
* Image-based virtual try-on: Fidelity and simplification
* Imbalanced Data Robust Online Continual Learning Based on Evolving Class Aware Memory Selection and Built-In Contrastive Representation Learning
* Impact of Directly Assimilating Radar Reflectivity Using a Reflectivity Operator Based on a Double-Moment Microphysics Scheme on the Analysis and Forecast of Typhoon Lekima (1909)
* Impact of Drought on Vegetation at Basin Scale: A Case Study of the Wei River Basin, China, The
* Impact of Site Conditions on Quercus robur and Quercus petraea Growth and Distribution Under Global Climate Change
* Impacts of Climate Change on Forest Biodiversity Changes in Northeast China
* Impacts of Digital Elevation Model Elevation Error on Terrain Gravity Field Calculations: A Case Study in the Wudalianchi Airborne Gravity Gradiometer Test Site, China
* Impacts of GCP Distributions on UAV-PPK Photogrammetry at Sermeq Avannarleq Glacier, Greenland
* Implicit Gradient-Modulated Semantic Data Augmentation for Deep Crack Recognition
* Improved Adaptive Grid-Based Progressive Triangulated Irregular Network Densification Algorithm for Filtering Airborne LiDAR Data, An
* Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
* Improved Low-Cost Dual-Antenna GNSS Dynamic Attitude Determination Method in Complex Environments, An
* Improved MRF Reconstruction via Structure-Preserved Graph Embedding Framework
* Improved Physics-Based Dual-Band Model for Satellite-Derived Bathymetry Using SuperDove Imagery, An
* Improved protection for colour images via invertible colour-to-grey, image distortion, and visible-imperceptible watermarking
* Improved Road Extraction Models through Semi-Supervised Learning with ACCT
* Improved semantic-guided network for skeleton-based action recognition
* Improved Velocity-Aided Method for Smartphone Single-Frequency Code Positioning in Real-World Driving Scenarios, An
* Improvement of Image Reconstruction for MRI Using Phase-Scrambling Fourier Transform and Dual-Domain Strategy
* Improving Automatic Target Recognition with Infrared Imagery Using Vision Transformers and Focused Data Augmentation
* Improving Image Coding for Machines Through Optimizing Encoder Via Auxiliary Loss
* Improving Image De-Raining Using Reference-Guided Transformers
* Improving Network Performance and Coverage Using Contract-Based Incentivized V2V Communications
* Improving Pre-Trained Model-Based Speech Emotion Recognition From a Low-Level Speech Feature Perspective
* Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground Camera
* Improving Real-Time Near-Infrared Face Alignment with a Paired VIS-NIR Dataset and Data Augmentation Through Image-to-Image Translation
* Improving Self-Supervised Vision Transformers for Visual Control
* Improving YOLOv8 with parallel frequency channel attention for taxi passengers
* IMU-Assisted Target-Free Extrinsic Calibration of Heterogeneous Lidars Based on Continuous-Time Optimization
* IN-Loop Filter for Object Mask Coding in Versatile Video Coding
* Inaccurate Label Distribution Learning
* Incidence Angle Normalization of C-Band Radar Backscattering Coefficient over Agricultural Surfaces Using Dynamic Cosine Method
* Incorporating Nonlocal Traffic Flow Model in Physics-Informed Neural Networks
* Increasing Trust in Image Analysis by Detecting Trellis Quantization in JPEG Images
* Individual Tree Crown Delineation Using Airborne LiDAR Data and Aerial Imagery in the Taiga-Tundra Ecotone
* Indoor Scene Localization Method Using Graphical Summary of Multi-View RGB-D Images, An
* Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks
* Inductive State-Relabeling Adversarial Active Learning With Heuristic Clique Rescaling
* Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining
* Influence of Structure from Motion Algorithm Parameters on Metrics for Individual Tree Detection Accuracy and Precision
* Information hiding using approximate POSIT representation
* INformer: Inertial-Based Fusion Transformer for Camera Shake Deblurring
* InfoUCL: Learning Informative Representations for Unsupervised Continual Learning
* Infrared and Visible Image Fusion via Sparse Representation and Guided Filtering in Laplacian Pyramid Domain
* Infrared Image Generation Based on Visual State Space and Contrastive Learning
* Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure
* Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor
* Injecting Text Clues for Improving Anomalous Event Detection From Weakly Labeled Videos
* Innovative Tool for Monitoring Mangrove Forest Dynamics in Cuba Using Remote Sensing and WebGIS Technologies: SIGMEM, An
* InSAR Analysis of Partially Coherent Targets in a Subsidence Deformation: A Case Study of Maceió
* Instance Consistency Regularization for Semi-Supervised 3D Instance Segmentation
* Instance-Aware Uncertainty for Active Learning in Object Detection
* Instance-Level Scaling and Dynamic Margin-Alignment Knowledge Distillation for Remote Sensing Image Scene Classification
* Instantaneous Center of Rotation Tracking Control of Four-Wheel Independent Steering Vehicles Under Large-Curvature Turning Conditions
* Insulator detection based on FA-YOLO network with improved feature extraction ability
* Integrated Intelligent Guidance and Motion Control of USVs With Anticipatory Collision Avoidance Decision-Making
* Integrated Intra-View and Inter-View Framework for Multiple Traffic Variable Data Simultaneous Recovery, An
* Integrated Sensing and Communications Waveform Design for OTFS and FTN Fusion
* Integrating Neural Radiance Fields End-to-End for Cognitive Visuomotor Navigation
* Integrating Neural-Symbolic Reasoning With Variational Causal Inference Network for Explanatory Visual Question Answering
* Integrating Thermal Infrared Imaging and Weather Data for Short-Term Prediction of Building Envelope Thermal Appearance
* Integrating Vision-Language Supervision for Uniform Appearance Tracking
* Integration of Generative-Adversarial-Network-Based Data Compaction and Spatial Attention Transductive Long Short-Term Memory for Improved Rainfall-Runoff Modeling
* Intelligent Finite-Time Protocol-Based Stabilization for Networked UMV Systems With DoS Attacks
* Intelligent Game-Theoretic Approach for Resilient Robust Control Design of Cyber-Physical Systems: Application to Intelligent Transportation Systems
* Intelligent Monitoring Applications of Landslide Disaster Knowledge Graphs Based on ChatGLM2
* Intelligent Multi-View Test Time Augmentation
* Inter-Modality Similarity Learning for Unsupervised Multi-Modality Person Re-Identification
* Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
* Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions From 3D Structures
* Interactive Prediction and Decision-Making for Autonomous Vehicles: Online Active Learning With Traffic Entropy Minimization
* Interactive Teaching for Fine-Granular Few-Shot Object Recognition Using Vision Transformers
* Interferometric Synthetic Aperture Radar Phase Linking with Level 2 Coregistered Single Look Complexes: Enhancing Infrastructure Monitoring Accuracy at Algeciras Port
* International Standard for Assessing Trustworthiness in Media, An
* Interplay Between Atmospheric Correction and Fusion Techniques Enhances the Quality of Remote Sensing Image Fusion
* Interpretable Deep Graph Neural Network Based on Attentional Multi-Scale Feature Fusion for FMRI Analysis, An
* Interpretable Prediction of Pedestrian Crossing Intention: Fusion of Human Skeletal Information in Natural Driving Scenarios
* Interpretable Traffic Accident Prediction: Attention Spatial-Temporal Multi-Graph Traffic Stream Learning Approach
* interpretable unsupervised capsule network via comprehensive contrastive learning and two-stage training, An
* Interpreting the Fraudulence Level of Different Finger Photo Presentation Attack Instruments
* Interval Type-2 Fuzzy Path Tracking Control for Autonomous Ground Vehicles Under Switched Triggered and Sensor Attacks
* Intracranial hematoma segmentation on head CT based on multiscale convolutional neural network and transformer
* Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation
* Intrinsic Image Decomposition Based on Quantized Prior Codebook
* Intuitive-K-prototypes: A mixed data clustering algorithm with intuitionistic distribution centroid
* Investigating and Reducing the Impairment of Point Spread Effect for Spatiotemporal Fusion of Remote Sensing Imagery
* Investigating Self-Supervised Methods for Label-Efficient Learning
* Investigating the Role of Cover-Crop Spectra for Vineyard Monitoring from Airborne and Spaceborne Remote Sensing
* Investigation of Global International GNSS Service Control Information Extraction for Geometric Calibration of Remote Sensing Images
* Invisible Intruders: Label-Consistent Backdoor Attack Using Re-Parameterized Noise Trigger
* InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding
* Ionospheric Absorption Variation Based on Ionosonde and Riometer Data and the NOAA D-RAP Model over Europe During Intense Solar Flares in September 2017
* Iris image retrieval using partial matching of image blocks
* ISDAT: An image-semantic dual adversarial training framework for robust image classification
* Isochrone-Based Predictive Optimization for Efficient Ship Voyage Planning and Execution, An
* Iterative decoupling deconvolution network for image restoration
* Iterative target updation based boosting ensembles for outlier detection
* Iterative Two-Stage Probability Adjustment Strategy With Progressive Incremental Searching for Image Steganography, An
* JOA-GAN: An improved single-image super-resolution network for remote sensing based on GAN
* Joint Active and Passive Beamforming for Vehicle Localization With Reconfigurable Intelligent Surfaces
* Joint Cooperative Caching and UAV Trajectory Optimization Based on Mobility Prediction in the Internet of Connected Vehicles
* Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs
* Joint Image Restoration For Domain Adaptive Object Detection In Foggy Weather Condition
* Joint Optimizing High-Speed Cruise Control and Multi-Hop Communication in Platoons: A Reinforcement Learning Approach
* Joint Path Planning for Multiple Automated Vehicles in Lane-Free Traffic With Vehicle Nudging
* Joint Prediction of Sea Clutter Amplitude Distribution Based on a One-Dimensional Convolutional Neural Network with Multi-Task Learning
* Joint Scene Flow Estimation and Moving Object Segmentation on Rotational LiDAR Data
* Joint-Limb Compound Triangulation With Co-Fixing for Stereoscopic Human Pose Estimation
* Joint-Wise Temporal Self-Similarity Periodic Selection Network for Repetitive Fitness Action Counting
* JOINTRF: End-To-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression
* JPEG Image Ciphering Based on Chaotic Encryption
* Kendall's Tau Based Spectrum Sensing for Cognitive Radio in the Presence of Laplace Noise
* Kernel Density Estimation for the Interpretation of Seismic Big Data in Tectonics Using QGIS: The Türkiye-Syria Earthquakes (2023)
* KFA: Keyword Feature Augmentation for Open Set Keyword Spotting
* Knowledge Base Driven Task-Oriented Image Semantic Communication Scheme, A
* Knowledge distillation of face recognition via attention cosine similarity review
* Knowledge Distillation-Based Spatio-Temporal MLP Model for Real-Time Traffic Flow Prediction
* Knowledge graph construction in hyperbolic space for automatic image annotation
* Knowledge Graph Enhancement for Fine-Grained Zero-Shot Learning on ImageNet21K
* Knowledge Guided Evolutionary Transformer for Remote Sensing Scene Classification
* Knowledge-Infused Learning for Fine-Grained Plant Disease Recognition
* Koopcon: A new approach towards smarter and less complex learning
* Ku-Band SAR-Drone System and Methodology for Repeat-Pass Interferometry
* Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias
* Label-Guided Dynamic Spatial-Temporal Fusion for Video-Based Facial Expression Recognition
* lambda-Domain Rate Control via Wavelet-Based Residual Neural Network for VVC HDR Intra Coding
* Land Cover Mapping in East China for Enhancing High-Resolution Weather Simulation Models
* Land Subsidence Detection Using SBAS- and Stacking-InSAR with Zonal Statistics and Topographic Correlations in Lakhra Coal Mines, Pakistan
* Land Use Classification Via Multi-Modal Complementary Feature Fusion and Context Information Enhancement for Optical and SAR Images
* Landmark-in-facial-component: Towards occlusion-robust facial landmark localization
* Landslide Hazard Prediction Based on UAV Remote Sensing and Discrete Element Model Simulation: Case from the Zhuangguoyu Landslide in Northern China
* Language-Guided Dual-Modal Local Correspondence for Single Object Tracking
* Laplacian Gradient Consistency Prior for Flash Guided Non-Flash Image Denoising
* Large-Capacity Data Hiding Scheme in Encrypted VVC Video, A
* Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-Labels
* Latency-Aware Unified Dynamic Networks for Efficient Image Recognition
* Latency-Free Driving Scene Prediction for On-Road Teledriving With Future-Image-Generation
* Latent Enhancing Autoencoder for Occluded Image Classification
* Latent Semantic and Disentangled Attention
* Latitude-Redundancy-Aware All-Zero Block Detection for Fast 360-Degree Video Coding
* Layer-wise normalized deep incomplete multiview nonnegative matrix factorization
* Learn by an Example Transformer for Domain Generalization in Video Object Segmentation
* Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation
* learnable motion preserving pooling for action recognition, A
* Learnable Radar Imaging Paradigm Driven by Deep Generative Model, A
* Learned Compression of Encoding Distributions
* Learned Image Compression for Both Humans and Machines via Dynamic Adaptation
* Learned Image Compression Using a Long and Short Attention Module
* Learned Image Compression with Text Quality Enhancement
* Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud Attribute Compression
* Learned Tensor Neural Network Texture Prior for Photon-Counting CT Reconstruction
* Learning A Rain-Invariant Network For Instance Segmentation In The Rain
* Learning Agent-Based Model Predictive Control for Holistic Vehicle Performance
* Learning an Augmented RGB Representation for Dynamic Hand Gesture Authentication
* Learning at a Glance: Towards Interpretable Data-Limited Continual Semantic Segmentation via Semantic-Invariance Modelling
* Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression
* Learning Cross-Attention Point Transformer With Global Porous Sampling
* Learning Disentangled Representation for One-Shot Progressive Face Swapping
* Learning From Human Attention for Attribute-Assisted Visual Recognition
* Learning Generalizable Mixed-Precision Quantization via Attribution Imitation
* Learning Graph Attentions via Replicator Dynamics
* Learning Hierarchical Visual Transformation for Domain Generalizable Visual Matching and Recognition
* Learning Local Semantic Region Activations for Weakly Supervised Object Localization
* Learning Many-to-Many Mapping for Unpaired Real-World Image Super-Resolution and Downscaling
* Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning
* Learning Multidimensional Spatial Attention for Robust Nighttime Visual Tracking
* Learning neural implicit surfaces with local probability standard variance
* Learning Noise Adapters for Incremental Speech Enhancement
* Learning Orthonormal Features in Self-Supervised Learning using Functional Maximal Correlation
* Learning Self- and Cross-Triplet Context Clues for Human-Object Interaction Detection
* Learning Semantic Polymorphic Mapping for Text-Based Person Retrieval
* Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation
* Learning Temporal Cues for Fine-Grained Action Recognition
* Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming
* Learning to Evaluate the Artness of AI-Generated Images
* Learning to Generate Diverse Data From a Temporal Perspective for Data-Free Quantization
* Learning to Holistically Detect Bridges From Large-Size VHR Remote Sensing Imagery
* Learning weakly supervised audio-visual violence detection in hyperbolic space
* Learning With Instance-Dependent Noisy Labels By Anchor Hallucination And Hard Sample Label Correction
* Learning-Based Optimization Algorithms for Routing Problems: Bibliometric Analysis and Literature Review
* Learning-Based Point Cloud Decoding with Independent and Scalable Reduced Complexity
* Learning-Based Video Compression with Continuously Variable Bitrate Coding
* Legit: Text Legibility for User-Generated Media
* Lensless Phase Retrieval with Regularization By Blind Noise Map Estimation and Denoising
* Lercpose: Learned Ranking and Contrastive Loss for Robust Head Pose Estimation
* Leveraging Generated Image Captions for Visual Commonsense Reasoning
* Leveraging occupancy map to accelerate video-based point cloud compression
* LFGN: Low-Level Feature-Guided Network for Adversarial Defense
* LFSamba: Marry SAM With Mamba for Light Field Salient Object Detection
* LG-AKD: Application of a lightweight GCN model based on adversarial knowledge distillation to skeleton action recognition
* LIA: Latent Image Animator
* LICAF: Lidar-Camera Asymmetric Fusion for Gait Recognition
* Lidar Depth Map Guided Image Compression Model
* Light-Weight Self-Supervised Contrastive Learning Network For Small Sample Hyperspectral Image Classification
* Lightweight Access Delegation With Multi-Ciphertext Equivalence Test for Shared Data in ITS
* Lightweight Design for Infrared Dim and Small Target Detection in Complex Environments
* lightweight hash-directed global perception and self-calibrated multiscale fusion network for image super-resolution, A
* Lightweight LiDAR-Camera Alignment With Homogeneous Local-Global Aware Representation
* Lightweight Model Pre-Training via Language Guided Knowledge Distillation
* lightweight object detection approach based on edge computing for mining industry, A
* Lightweight Recurrent Neural Network for Image Super-Resolution
* Lightweight transmission line defect identification method based on OFN network and distillation method
* lightweight underwater fish image semantic segmentation model based on U-Net, A
* Lightweight Underwater Image Enhancement via Impulse Response of Low-Pass Filter Based Attention Network
* Likelihood-Based Triangulation Method for Uncertainties in Through-Water Depth Mapping, A
* Limb Temperature Observations in the Stratosphere and Mesosphere Derived from the OMPS Sensor
* Linearity Assessment from the Plankton, Aerosol, Cloud, and Ocean Ecosystem Ocean Color Instrument Pre-Launch Testing and On-Orbit Operations
* Linguistic Hallucination for Text-Based Video Retrieval
* Linking Vegetation Phenology to Net Ecosystem Productivity: Climate Change Impacts in the Northern Hemisphere Using Satellite Data
* Lip Feature Disentanglement for Visual Speaker Authentication in Natural Scenes
* Lipface: Lipschitz-Conditioned for Resolution Robust Face Recognition
* LiSD: An Efficient Multi-Task Learning Framework for Lidar Segmentation and Detection
* Lite Localization Network and DUE-Based Watermarking for Color Image Copyright Protection
* LithoPW: Leveraging Visual Memory Encoding and Defect-Aware Optimization for Precise Determination of the Lithography Process Windows
* LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation
* Local and global mixture network for image inpainting
* Local-Perception-Enhanced Spatial-Temporal Evolving Graph Transformer Network: Citywide Demand Prediction of Taxi and Ride-Hailing
* Local-to-Global Semantic Learning for Multi-View 3D Object Detection From Point Cloud
* Localization of Image Splicing Under Segment Anything Model With Integrated Compression and Edge Artifacts
* Localizing Moments of Actions in Untrimmed Videos of Infants with Autism Spectrum Disorder
* Logit Variated Product Quantization Based on Parts Interaction and Metric Learning With Knowledge Distillation for Fine-Grained Image Retrieval
* Long-Term Airport Network Performance Forecasting With Linear Diffusion Graph Networks
* Long-Term Geo-Positioned Re-Identification Dataset of Urban Elements
* Lossless medical ultrasound image compression based on frequency domain decomposition
* Low-Complexity Bit-Embedding Decoder for Non-Binary LDPC Codes in F_2^q, A
* Low-complexity content-aware encoding optimization of batch video
* Low-Complexity Prediction of Energy Statistic Exceedance Probability for eta-mu Variates
* Low-correlation multilinear dimensionality reduction applied to volcano-seismic classification
* Low-Dimensional Gradient Helps Out-of-Distribution Detection
* Low-Light Image Enhancement With SAM-Based Structure Priors and Guidance
* Low-Rank Matrix and Tensor Decomposition Using Randomized Two-Sided Subspace Iteration with Application to Video Reconstruction
* Low-rank sparse fully-connected tensor network for tensor completion
* Low-rank tensor completion based on tensor train rank with partially overlapped sub-blocks and total variation
* Low-Rank Tensor Completion With 3-D Spatiotemporal Transform for Traffic Data Imputation
* Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding
* LPAM: A lightweight medical segmentation network based on Mamba improved by prompt attention
* Lrdif: Diffusion Models for Under-Display Camera Emotion Recognition
* LSDM-PCB: A Lightweight Small Defect Detection Model for Printed Circuit Board
* LSTM + Transformer Real-Time Crash Risk Evaluation Using Traffic Flow and Risky Driving Behavior Data
* LTM-NeRF: Embedding 3D Local Tone Mapping in HDR Neural Radiance Field
* LTTrack: Rethinking the Tracking Framework for Long-Term Multi-Object Tracking
* Luminance decomposition and reconstruction for high dynamic range Video Quality Assessment
* Luminate: Linguistic Understanding and Multi-Granularity Interaction for Video Object Segmentation
* Lunar Regolith Thickness and Stratigraphy of the Chang'E-6 Landing Site, The
* LVD-YOLO: An efficient lightweight vehicle detection model for intelligent transportation systems
* LWIRPOSE: A Novel Long Wave Infrared Thermal Image Pose Dataset and Benchmark
* M-SSD based on anchor proposal and ResNet101 backbone for placental haemorrhage MRI detection
* M-YOLOv8s: An improved small target detection algorithm for UAV aerial photography
* M3ixup: A multi-modal data augmentation approach for image captioning
* M3T: Multi-Modal Medical Transformer To Bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation
* MA-ResUNet: Multi-attention optic cup and optic disc segmentation based on improved U-Net
* MA-ST3D: Motion Associated Self-Training for Unsupervised Domain Adaptation on 3D Object Detection
* MAC: Maximal Cliques for 3D Registration
* Machine Learning Clustering Techniques to Support Structural Monitoring of the Valgadena Bridge Viaduct (Italy)
* Machine Learning for UAV-Aided ITS: A Review With Comparative Study
* Machine Learning With Tree Tensor Networks, CP Rank Constraints, and Tensor Dropout
* Mamba-PCGC: Mamba-Based Point Cloud Geometry Compression
* Many-Objective Jaccard-Based Evolutionary Feature Selection for High-Dimensional Imbalanced Data Classification
* Map-matching for cycling travel data in urban area
* Mapping Forest Carbon Stock Distribution in a Subtropical Region with the Integration of Airborne Lidar and Sentinel-2 Data
* Mapping Human Pressure for Nature Conservation: A Review
* Mapping Leaf Mass Per Area and Equivalent Water Thickness from PRISMA and EnMAP
* Mapping Seasonal Spatiotemporal Dynamics of Alpine Grassland Forage Phosphorus Using Sentinel-2 MSI and a DRL-GP-Based Symbolic Regression Algorithm
* Mapping the Normalized Difference Vegetation Index for the Contiguous U.S. Since 1850 Using 391 Tree-Ring Plots
* Mare Volcanism in Apollo Basin Evaluating the Mare Basalt Genesis Models on the Moon
* Marginal debiased network for fair visual recognition
* Markov Progressive Framework, a Universal Paradigm for Modeling Long Videos
* MAS-DSO: Advancing Direct Sparse Odometry With Multi-Attention Saliency
* Mask-Based Invisible Backdoor Attacks on Object Detection
* Mask-Guided Discriminative Feature Network for Occluded Person Re-Identification
* Mask2Anomaly: Mask Transformer for Universal Open-Set Segmentation
* Masked Momentum Contrastive Learning for Semantic Understanding by Observation
* Masked Signal Modeling for Plastic Waste Resin Classification
* MATNet: Multilevel attention-based transformers for change detection in remote sensing images
* MAVAD: Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos
* Maximum Entropy and Quantized Metric Models for Absolute Category Ratings
* MBFE-UNet: A Multi-Branch Feature Extraction UNet with Temporal Cross Attention for Radar Echo Extrapolation
* MBQuant: A novel multi-branch topology method for arbitrary bit-width network quantization
* MBSNet: To Distinguish Motion From Stillness for Airport Traffic Safety
* MC-Whisper: Extending Speech Foundation Models to Multichannel Distant Speech Recognition
* MCSGCalib: Multi-Constraint-Based Extrinsic Calibration of Solid-State LiDAR and GNSS/INS for Autonomous Vehicles
* MCT-Net: a Lightweight Multiscale Convolutional Transformer Network for Polyp Segmentation
* MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation
* Mdbfusion: A Visible and Infrared Image Fusion Framework Capable for Motion Deblurring
* Measure-Driven Neural Solver for Optimal Transport Mapping
* Measurement Guidance in Diffusion Models: Insight from Medical Image Synthesis
* Medea: Multi-View Efficient Depth Adjustment
* Medical Image Encryption Based on Josephus Scrambling and Dynamic Cross-Diffusion for Patient Privacy Security
* Medical Image Segmentation Review: The Success of U-Net
* Medical Knowledge-Guided Semi-Supervised Bi-Ventricular Segmentation
* MedSyn: Text-Guided Anatomy-Aware Synthesis of High-Fidelity 3-D CT Images
* Memories are One-to-Many Mapping Alleviators in Talking Face Generation
* Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization of Traffic Scenes
* MEMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD
* Meta-DM: Applications of Diffusion Models on Few-Shot Learning
* Meta-Prompt: Boosting Whisper's Performance in Low-Resource Speech Recognition
* Metaheuristic Camera Calibration for Optical Tomographic Imaging in Industrial Environments
* MetaIP: Meta-Network-Based Intra Prediction With Customized Parameters for Video Coding
* Method for Constructing an Urban Waterlogging Emergency Knowledge Graph Based on Spatiotemporal Processes, A
* Method for Generating Pseudo-Polarization Images, A
* method of degradation mechanism-based unsupervised remote sensing image super-resolution, A
* Methodological Framework for High-Resolution Surface Urban Heat Island Mapping: Integration of UAS Remote Sensing, GIS, and the Local Climate Zoning Concept, A
* Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-Shot Metric Depth and Surface Normal Estimation
* MFLFC: Multi-Frame Fusion Based Low-Resolution Feature Compression for Object Tracking
* MGNR: A Multi-Granularity Neighbor Relationship and Its Application in KNN Classification and Clustering Methods
* MGRQ: Post-Training Quantization for Vision Transformer with Mixed Granularity Reconstruction
* Micro-Expression Recognition Based on 3DCNN Combined with GRU and New Attention Mechanism
* Microwave Coincidence Imaging with Phase-Coded Stochastic Radiation Field
* Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels
* Minimization of Submesh Boundary Errors in Dynamic Mesh Coding
* Mining smart card data to estimate transfer passenger flow in a metro network
* MINN: Learning the Dynamics of Differential-Algebraic Equations and Application to Battery Modeling
* Mirroring the Parking Target: An Optimal-Control-Based Parking Motion Planner With Strengthened Parking Reliability and Faster Parking Completion
* Mitigating Accuracy-Robustness Trade-Off via Balanced Multi-Teacher Adversarial Distillation
* Mix-Domain Contrastive Learning for Unpaired H&E-to-IHC Stain Translation
* MM-IRSTD: Conv Self-Attention-Based Multi-Modal Small and Dim Target Detection in Infrared Dual-Band Images
* MMAE: A universal image fusion method via mask attention mechanism
* MMAQ: A Multi-Modal Self-Supervised Approach for Estimating Air Quality from Remote Sensing Data
* MNN: Mixed nearest-neighbors for self-supervised learning
* Mobile Phone Use Driver Distraction Detection Based on MSaE of Multi-Modality Physiological Signals
* modality separation approach for facial sketch synthesis, A
* Modeling Inner- and Cross-Task Contrastive Relations for Continual Image Classification
* Modeling of Biologically Effective Daily Radiant Exposures over Europe from Space Using SEVIRI Measurements and MERRA-2 Reanalysis
* Modeling of Solar Radiation Pressure for BDS-3 MEO Satellites with Inter-Satellite Link Measurements
* Modified Method for Reducing the Scale Effect in Land Surface Temperature Downscaling at 10 m Resolution, A
* Modified State Refinement GRU for Atrial Fibrillation and Premature Ventricular Contraction Signals Detection, A
* MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLO
* Modular and Robust Physics-Based Approach for Lensless Image Reconstruction, A
* Momentum Accelerated Algorithm for ReLU-Based Nonlinear Matrix Decomposition, A
* Monitoring Aeolian Erosion from Surface Coal Mines in the Mongolian Gobi Using InSAR Time Series Analysis
* Monitoring Coastal Evolution and Geomorphological Processes Using Time-Series Remote Sensing and Geospatial Analysis: Application Between Cape Serrat and Kef Abbed, Northern Tunisia
* Monitoring Salinity in Inner Mongolian Lakes Based on Sentinel-2 Images and Machine Learning
* MonoBooster: Semi-Dense Skip Connection With Cross-Level Attention for Boosting Self-Supervised Monocular Depth Estimation
* MonoGAE: Roadside Monocular 3D Object Detection With Ground-Aware Embeddings
* MOODv2: Masked Image Modeling for Out-of-Distribution Detection
* Morphology-Guided Network via Knowledge Distillation for RGB-D Mirror Segmentation
* Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving
* Motion-Adaptive Inference for Flexible Learned B-Frame Compression
* Motion-Aware Dynamic Graph Neural Network for Video Compressive Sensing
* Motion-Lie Transformer: Geometric Attention for 3D Human Pose Motion Prediction
* MPC-Net: Multi-Prior Collaborative Network for Low-Light Image Enhancement
* MPG-Net: A Semantic Segmentation Model for Extracting Aquaculture Ponds in Coastal Areas from Sentinel-2 MSI and Planet SuperDove Images
* MRLReID: Unconstrained Cross-Resolution Person Re-Identification With Multi-Task Resolution Learning
* MSD-CRFS: Multi-Scale Dual Aggregation Conditional Random Fields for Monocular Depth Estimation
* MSGAT: Multi-Stage Graph Attention Network for Human Motion Prediction
* MSNet: Multi-Scale Network for Object Detection in Remote Sensing Images
* MSSPG-AL: Few-Shot Hyperspectral Image Classification with Active Learning Updated Multi-Scale Superpixel Graph Fusion
* MTA-PS: Towards Practical Person Search in Videos
* MTCSNet: One-Stage Learning and Two-Point Labeling are Sufficient for Cell Segmentation
* Multi-Agent Deep Reinforcement Learning for Recharging-Considered Vehicle Scheduling Problem in Container Terminals
* Multi-Agent DRL-Controlled Connected and Automated Vehicles in Mixed Traffic With Time Delays
* Multi-Agent Sensing Framework via Joint Motion Planning and Resource Optimization, A
* Multi-Attribute Vision Transformers are Efficient and Robust Learners
* Multi-Channel Optimization Generative Model for Stable Ultra-Sparse-View CT Reconstruction
* Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis
* Multi-Dimensional Visual Data Restoration: Uncovering the Global Discrepancy in Transformed High-Order Tensor Singular Values
* Multi-domain pseudo-reference quality evaluation for infrared and visible image fusion
* Multi-Focus Image Fusion Algorithm Based on Multi-Task Learning and PS-ViT
* Multi-Grained Gradual Inference Model for Multimedia Event Extraction
* Multi-image encryption and authentication using computational ghost imaging and singular value decomposition
* Multi-Layer Probabilistic Association Reasoning Network for Image-Text Retrieval
* Multi-Modal Medical Image Fusion for Non-Small Cell Lung Cancer Classification
* Multi-Modal Object Detection Method Based on Dual-Branch Asymmetric Attention Backbone and Feature Fusion Pyramid Network
* Multi-modal video search by examples: A video quality impact analysis
* Multi-Modality Feature Enhancement Method Based on Feature Disentanglement for SAR Image Target Detection, A
* Multi-Module Modeling and Optimization Framework for Integrated Planning and Operation of Electric Bus Shuttle Fleets, A
* Multi-Object Detection for Daily Road Maintenance Inspection With UAV Based on Improved YOLOv8
* Multi-Objective Offloading Optimization in MEC and Vehicular-Fog Systems: A Distributed-TD3 Approach
* multi-objective optimization model for RSU deployment in intelligent expressways based on traffic adaptability, A
* Multi-Path Interference Mitigation for Indirect Time-of-Flight Camera By the Distortion of Coding Curve
* Multi-Prior Driven Network for RGB-D Salient Object Detection
* Multi-Reference Flow-Guided Cross-Domain Reconstruction for General Object 6D Pose Estimation
* Multi-Scale and Multi-Network Deep Feature Fusion for Discriminative Scene Classification of High-Resolution Remote Sensing Images
* Multi-Scale Expression of Coastal Landform in Remote Sensing Images Considering Texture Features
* Multi-Scale Feature Fusion and Distribution Similarity Network for Few-Shot Automatic Modulation Classification
* Multi-Scale Feature Fusion Deep Learning Network for the Extraction of Cropland Based on Landsat Data, A
* Multi-Scale Feature Fusion Network for Chip Surface Defect Detection, A
* Multi-scale skeleton simplification graph convolutional network for skeleton-based action recognition
* Multi-Scale Validation and Analysis of Flash Flooding Impacts on Urban Road Transportation, A
* Multi-Source Dynamic Temporal Point Process Model for Train Delay Prediction, A
* Multi-Source Fusion Approach for Driver Fatigue Detection Using Physiological Signals and Facial Image, A
* Multi-Speaker Text-to-Speech Training With Speaker Anonymized Data
* Multi-stage image inpainting using improved partial convolutions
* Multi-Static Radar System Deployment Within a Non-Connected Region Utilising Particle Swarm Optimization
* Multi-System Fusion Positioning Method Based on Factor Graph
* Multi-Task Affinity Propagation Based Natural Image Matting
* Multi-Task Framework for Car Detection From High-Resolution UAV Imagery Focusing on Road Regions, A
* Multi-teacher Universal Distillation Based on Information Hiding for Defense Against Facial Manipulation
* Multi-Tiered Collaborative Network for Optical Remote Sensing Fine-Grained Ship Detection in Foggy Conditions, A
* Multi-Type Attention for Solving Multi-Depot Vehicle Routing Problems
* Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization
* Multi-View Multi-Focus Image Fusion: A Novel Benchmark Dataset and Method
* Multi-View Network for Colorectal Polyps Detection in CT Colonography
* Multi-Year Hurricane Impacts Across an Urban-to-Industrial Forest Use Gradient
* Multiclassification of Vocal Folds Disorders from Videos By Spatio-Temporal Deep Features
* Multilevel Fine-Grained Features-Based General Framework for Object Detection
* Multimodal Biometric Recognition Method Based on Federated Learning, A
* Multimodal Co-Attention Fusion Network With Online Data Augmentation for Cancer Subtype Classification
* Multimodal Cross-Lingual Summarization for Videos: A Revisit in Knowledge Distillation Induced Triple-Stage Training Method
* Multimodal Decoupled Distillation Graph Neural Network for Emotion Recognition in Conversation
* Multimodal Deep Learning Integration of Image, Weather, and Phenotypic Data Under Temporal Effects for Early Prediction of Maize Yield
* Multimodal Transformer Using Cross-Channel Attention for Object Detection in Remote Sensing Images
* Multimodal-Enhanced Objectness Learner for Corner Case Detection In Autonomous Driving
* Multiple Controlled Toffoli Driven Adaptive Quantum Neural Network Model for Dynamic Workload Prediction in Cloud Environments, A
* Multiple Subspace-Based Target Detection in Deterministic Interference
* Multiple-Input Multiple-Output Microwave Tomographic Imaging for Distributed Photonic Radar Network
* Multiscale Framework for Capturing Oscillation Dynamics of Autonomous Vehicles in Data-Driven Car-Following Models, A
* MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification
* Multispectral pedestrian detection based on feature complementation and enhancement
* Multitask Weakly Supervised Generative Network for MR-US Registration
* Multitemporal Monitoring of Rocky Walls Using Robotic Total Station Surveying and Persistent Scatterer Interferometry
* Multivariable Study of a Traveling Ionosphere Disturbance Using the Arecibo Incoherent Scatter Radar, A
* MVAFormer: RGB-Based Multi-View Spatio-Temporal Action Recognition with Transformer
* MVCrackViT: Robust Multi-View Crack Detection For Point Cloud Segmentation Using View Attention
* MVSE-Net: A Multi-View Deep Network With Semantic Embedding for LiDAR Place Recognition
* MWIRSTD: A MWIR Small Target Detection Dataset
* National-Scale Detection of New Forest Roads in Sentinel-2 Time Series
* Navigating Limitations with Precision: A Fine-Grained Ensemble Approach To Wrist Pathology Recognition on a Limited X-Ray Dataset
* NCMNet: Neighbor Consistency Mining Network for Two-View Correspondence Pruning
* NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
* NDVI or PPI: A (Quick) Comparison for Vegetation Dynamics Monitoring in Mountainous Area
* Needle in a (Medical) Haystack: Detecting a Biopsy Needle In Ultrasound Images Using Vision Transformers, A
* NeRF-based Polarimetric Multi-view Stereo
* Nested Cross-Validation for HBV Conceptual Rainfall-Runoff Model Spatial Stability Analysis in a Semi-Arid Context
* Nested Fully-Connected Tensor Network Decomposition for Multi-Dimensional Visual Data Recovery
* Neural Disparity Refinement
* Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding
* Neural Radiance Field-Assisted Static-Scene Video Coding
* NeuralRecon: Real-Time Coherent 3D Scene Reconstruction From Monocular Video
* Neuroimaging Yolov8-Based Cad Framework for Anosmia Grading in Covid-19, A
* New Algorithm for Predicting Dam Deformation Using Grey Wolf-Optimized Variational Mode Long Short-Term Neural Network, A
* New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning, A
* New Constructions of 2-D Golay Complementary Array Sets With Highly Flexible Array Sizes for Massive MIMO Omni-Directional Transmission
* new deepfake detection model for responding to perception attacks in embodied artificial intelligence, A
* New Efficient Split & Merge Algorithm for Embedded Systems, A
* New Family of Graph Representation Matrices: Application to Graph and Signal Classification, A
* New Fingerprinting Technique for Engraved Binary Matrix Authentication, A
* New Framework for Integrating DNN-Based Geographic Simulation Models within GISystems, A
* New Method for Extracting Three-Dimensional Surface Deformation in Underground Mining Areas Based on the Differentiability of D-InSAR Line-of-Sight Displacements, A
* New method of colour image encryption using triple chaotic maps
* new network model for multiple object detection for autonomous vehicle detection in mining environment, A
* New People-Object Interaction Dataset and NVS Benchmarks, A
* Nighttime scene understanding with label transfer scene parser
* NLIC: Non-Uniform Quantization-Based Learned Image Compression
* NN-Based In-Loop Filtering with Inputs Transformed
* Noise2Variance: Dual networks with variance constraint for self-supervised real-world image denoising
* Noisy-Aware Unsupervised Domain Adaptation for Scene Text Recognition
* Non-local Matching of Superpixel-based Deep Features for Color Transfer and Colorization
* Non-Separablewavelet Transform Using Learnable Convolutional Lifting Steps
* Nonlinear and Threshold Effects on Station-Level Ridership: Insights from Disproportionate Weekday-to-Weekend Impacts
* Nonparametric Clustering-Guided Cross-View Contrastive Learning for Partially View-Aligned Representation Learning
* Norm-Integrated Softmax Loss for Deep Face Recognition
* Normalized Cyclic Loop Network for Rail Surface Defect Detection Using Knowledge Distillation
* Novel and Effective Method to Directly Solve Spectral Clustering, A
* Novel Approach for 3D Renal Segmentation Using a Modified GAN Model and Texture Analysis, A
* novel approach for long-term secure storage of domain independent videos, A
* Novel Architecture for Image Vectorization with Increasing Granularity, A
* Novel Beam-Domain Direction-of-Arrival Tracking Algorithm for an Underwater Target, A
* novel density-based representation for point cloud and its ability to facilitate classification, A
* Novel Detection Transformer Framework for Ship Detection in Synthetic Aperture Radar Imagery Using Advanced Feature Fusion and Polarimetric Techniques, A
* novel domain independent scene text localizer, A
* Novel Image Formation Model for Descattering, A
* Novel ISAR Image Feature Suppression Method Based on Arbitrary Phase Encoding, A
* Novel Machine Learning-Based Trust Management Against Multiple Misbehaviors for Connected and Automated Vehicles, A
* Novel Meta Attention Guided Framework for Breast Abnormality Classification with Combination of FSL and DA
* novel multi-modal fusion method based on uncertainty-guided meta-learning, A
* Novel Pre-Processing Approach and Benchmarking Analysis for Faster, Robust, and Improved Small Object Detection Methods, A
* Novel Robust Video Watermarking Scheme Based on Concentric Ring Subband and Visual Cryptography With Piecewise Linear Chaotic Mapping
* Novel Swap-Body Mode for the Long-Haul Trucking Problem, A
* novel target detection method with dual-domain multi-frequency feature in side-scan sonar images, A
* Novel Uncertainty Quantification Through Perturbation-Assisted Sample Synthesis
* novel underwater object detection enhanced algorithm based on YOLOv5-MH, A
* Novel Vertical Active Damping System for the Superconducting Electrodynamic Suspension, A
* NTK-Guided Few-Shot Class Incremental Learning
* Numerical Weather Prediction of Sea Surface Temperature in South China Sea Using Attention-Based Context Fusion Network
* Nyctale: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction
* Object Detection Framework Using Multiple Tone Mappings on High-Dynamic-Range Images
* Object matching of visible-infrared image based on attention mechanism and feature fusion
* Object-Aware Adaptive Image Retargeting Via Importance Map Fusion
* Object-Aware Network Embedding Deep Superpixel for Semantic Segmentation of Remote Sensing Images, An
* Object-Centric Representation Learning for Video Scene Understanding
* Observation of Boundary-Layer Jets in the Northern South China Sea by a Research Vessel
* ODVISTA: An Omnidirectional Video Dataset for Super-Resolution and Quality Enhancement Tasks
* OMRA: Online Motion Resolution Adaptation to Remedy Domain Shift in Learned Hierarchical B-Frame Coding
* ON Annotation-Free Optimization of Video Coding for Machines
* On Efficient Neural Network Architectures for Image Compression
* On Second-Order Statistics of the Log-Average Periodogram for Gaussian Processes
* On the Cloud Detection from Backscattered Images Generated from a Lidar-Based Ceilometer: Current State and Opportunities
* On the Detection of Images Generated from Text
* On the Exploitation of DCT-Traces in the Generative-AI Domain
* On the Suitability of Different Satellite Land Surface Temperature Products to Study Surface Urban Heat Islands
* On Transforming Reinforcement Learning With Transformers: The Development Trajectory
* On-Orbit Geometric Calibration and Accuracy Validation of the Jilin1-KF01B Wide-Field Camera
* On-the-Fly Coordination of Maneuvers for Separation Assurance of UAM Aircraft in Congested Airspace
* One-Hot Logistic Regression for Radiomics-Based Classification
* One-Shot Multi-Rate Pruning Of Graph Convolutional Networks for Skeleton-Based Recognition
* One-Stage Anchor-Free Online Multiple Target Tracking With Deformable Local Attention and Task-Aware Prediction
* One-Stream Stepwise Decreasing for Vision-Language Tracking
* Online Anchor-Based Training for Image Classification Tasks
* Online kernel-based clustering
* OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
* OODNet: A deep blind JPEG image compression deblocking network using out-of-distribution detection
* OORD: The Oxford Offroad Radar Dataset
* Open Data-Driven 3D Building Models for Micro-Population Mapping in a Data-Limited Setting
* Open World Object Detection Via Cooperative Foundation Models for Driving Scenes
* Open-Set Single-Domain Generalization for Robust Face Anti-Spoofing
* Open-Vocabulary Panoptic Segmentation Using Bert Pre-Training of Vision-Language Multiway Transformer Model
* Openanimaltracks: A Dataset for Animal Track Recognition
* Operational Support Estimator Networks
* Optical Flow as Spatial-Temporal Attention Learners
* Optimal Adaptive Cruise Control in Mixed Traffic With Communication Latence and Driver Reaction
* Optimal operation of co-phase traction power supply system with HESS and PV
* Optimal Transport-Based Method for Medical Image Generation, An
* Optimization for route selection under the integration of dispatching and control at the railway station: A 0-1 programming model and a two-stage solution algorithm
* Optimization Method for Evacuation Guidance in Multi-Room Scenarios, An
* Optimized Decoupled Structure with Non-Local Attention for Deep Image Compression
* Optimized deep learning enabled lecture audio video summarization
* Optimized Soil Moisture Mapping Strategies on the Tibetan Plateau Using Downscaled and Interpolated Maps as Mutual Covariates
* Optimizing customized bus services for multi-trip urban passengers: A bi-objective approach
* Optimizing GNSS/INS Integrated Navigation: A Deep Learning Approach for Error Compensation
* Optimizing Learned Image Compression on Scalar and Entropy-Constraint Quantization
* Optimizing the Deployment of Static and Mobile Roadside Units Using a Branch-and-Price Algorithm
* Optimizing Time-Dependent Network Flows With Environmental Objectives: A Path Controlling Approach Enabled by Automated Vehicles
* Optimizing traffic signal control for continuous-flow intersections: Benchmarking against a state-of-practice model
* Order Estimation of Linear-Phase FIR Filters for DAC Equalization in Multiple Nyquist Bands
* Outlier-Probability-Based Feature Adaptation for Robust Unsupervised Anomaly Detection on Contaminated Training Data
* Outlook into the Future of Egocentric Vision, An
* OV-DAR: Open-Vocabulary Object Detection and Attributes Recognition
* OV-VIS: Open-Vocabulary Video Instance Segmentation
* Overcoming learning bias via Prototypical Feature Compensation for source-free domain adaptation
* Ozone Detector Based on Ultraviolet Observations on the Martian Surface
* Pair Then Relation: Pair-Net for Panoptic Scene Graph Generation
* Palette-based colour normalization for histopathology images
* Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation
* Paon: A New Neuron Model Using Padé Approximants
* Parallel multi-scale dynamic graph neural network for multivariate time series forecasting
* Parallel Task-Prompts ICM: A Versatile Feature Codec for Machine Vision
* Parameter efficient finetuning of text-to-image models with trainable self-attention layer
* Parametric Analytical Modulation Transfer Function Model in Turbid Atmosphere with Application to Image Restoration
* Partial Inter-Frame Coding for Dynamic Meshes
* Passenger Location Estimation in Public Transport: Evaluating Methods and Camera Placement Impact
* Patch-Level Region-Aware Module with a Multi-Label Framework for Remote Sensing Image Captioning, A
* PatchMixing Masked Autoencoders for 3D Point Cloud Self-Supervised Learning
* Path Loss and Shadowing for UAV-to-Ground UWB Channels Incorporating the Effects of Built-Up Areas and Airframe
* Path Signature Approach for Speech-Based Dementia Detection, A
* Path-Guided Formation-Containment Control for Networked Heterogeneous Multi-Vehicle Systems
* PCA-UNET for Object Segmentation
* Perceptual Learned Image Compression via End-to-End JND-Based Optimization
* Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling
* Performance Assessment and Quality Control of Fluorescence Molecular Endoscopy With a Multi-Parametric Rigid Standard
* Performance Prescribed Cooperative Guidance Against Maneuvering Target Under Malicious Attacks
* Personality Shaping: A Prescriptive Approach Based on Virtual-Real Human Interaction
* Personalized route recommendation for passengers in urban rail transit based on collaborative filtering algorithm
* Personatalk: Preserving Personalized Dynamic Speech Style In Talking Face Generation
* Perspective-assisted prototype-based learning for semi-supervised crowd counting
* Phase Transitions in Pedestrian Evacuation: A Dynamic Modeling with Small-World Networks
* PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
* PhotoStyle60: A Photographic Style Dataset for Photo Authorship Attribution and Photographic Style Transfer
* Physical Adversarial Attack Meets Computer Vision: A Decade Survey
* Physically Secure and Privacy-Preserving Charging Authentication Framework With Data Aggregation in Vehicle-to-Grid Networks
* Physics-Driven Multispectral Filter Array Pattern Optimization and Hyperspectral Image Reconstruction
* Physics-Guided Multi-Source Transfer Learning for Network-Scale Traffic Flow Prediction
* Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion
* Physics-Informed Neural Network Approach to Augmented Dynamics Visual Servoing of Multirotors, A
* Physics-Inspired Distributed Energy Equation for Macroscopic Traffic Flow Models, A
* Physiological Modeling with Multispectral Imaging for Heart Rate Estimation
* Picture Partitioning Design of Neural Network-Based Intra Coding for Video Coding for Machines
* Pilot-Free Semantic Communication Over Multi-User Mimo Fading Channels
* Pix2HDR: A Pixel-Wise Acquisition and Deep Learning-Based Synthesis Approach for High-Speed HDR Videos
* Pixel Distillation: Cost-Flexible Distillation Across Image Sizes and Heterogeneous Networks
* Pixel shuffling is all you need: spatially aware convmixer for dense prediction tasks
* Pixel-Wise Color Constancy Via Smoothness Techniques In Multi-Illuminant Scenes
* Plane Constraints Aided Multi-Vehicle Cooperative Positioning Using Factor Graph Optimization
* Playing for 3D Human Recovery
* PLGNet: Prior-Guided Local and Global Interactive Hybrid Network for Face Super-Resolution
* Point Cloud Geometry Scalable Coding with a Quality-Conditioned Latents Probability Estimator
* Point Clouds are Specialized Images: A Knowledge Transfer Approach for 3D Understanding
* Point'n Move: Interactive scene object manipulation on Gaussian splatting radiance fields
* Poisoning Topology View in Software-Defined Vehicular Network: An Empirical Study
* Polyp-DAM: Polyp Segmentation via Depth Anything Model
* Pose-Invariant Learning for Efficient Person Identification from Hyperspectral Hand Images
* Pose-Promote: Progressive Visual Perception for Activities of Daily Living
* Power-Llava: Large Language and Vision Assistant for Power Transmission Line Inspection
* Practical Calibration Method for Cameras and Multiple Line-Lasers in Light Sectioning Systems for Underwater Environments, A
* Practical Network Acceleration With Tiny Sets: Hypothesis, Theory, and Algorithm
* Pre-Dam Vltava River Valley: A Case Study of 3D Visualization of Large-Scale GIS Datasets in Unreal Engine
* Pre-Detection and Pre-Registration Averaging of Full Wave Signals in Airborne LiDAR Bathymetry
* Pre-Trained Transformer-Based Parallel Multi-Channel Adaptive Image Sequence Interpolation Network
* Precise Analysis of Covariance Identifiability for Activity Detection in Grant-Free Random Access
* Precise City-Scale Urban Water Body Semantic Segmentation and Open-Source Sampleset Construction Based on Very High-Resolution Remote Sensing: A Case Study in Chengdu
* PRECISION: A Physics-Constrained and Noise-Controlled Diffusion Model for Photon Counting Computed Tomography
* Preconditioning Approach To Optimizing Sensing Matrix for Improved Compressed Sensing CT Reconstruction, A
* Predefined-Time Fault-Tolerant Control for Active Vehicle Suspension Systems With Reference X-Dynamics and Conditional Disturbance Cancellation
* Predicting Rock Hardness and Abrasivity Using Hyperspectral Imaging Data and Random Forest Regressor Model
* Prediction of Commercial Street Location Based on Point of Interest (POI) Big Data and Machine Learning
* Prediction of the vehicle lane-changing distance in an urban inter-tunnel weaving section based on wavelet transform and dual-channel neural network
* Prediction-Based Forward-Looking Vehicle Dispatching Strategy for Dynamic Ride-Pooling, A
* Predictive Modelling of Land Cover Changes in the Greater Amanzule Peatlands Using Multi-Source Remote Sensing and Machine Learning Techniques
* Preliminary Global NO2 Retrieval from EMI-II Onboard GF5B/DQ1 and Comparison to TROPOMI
* Preterm infant limb movement recognition with graph and convolution fusion network
* Preventive Energy Management Strategy Before Extreme Weather Events by Modeling EVs' Opt-In Preferences
* Prior-DualGAN: Rain rendering from coarse to fine
* Priorformer: A UGC-VQA Method with Content and Distortion Priors
* Privacy-Preserving Algorithm for APPs in Vehicle Intelligent Terminal System: A Compressive Method
* Privacy-Preserving Visual Cues Communication for Hearing-Impaired People Using Deep Learning
* Privacy-SF: An encoding-based privacy-preserving segmentation framework for medical images
* Pro2Diff: Proposal Propagation for Multi-Object Tracking via the Diffusion Model
* Profit Maximization of Independent Task Offloading in MEC-Enabled 5G Internet of Vehicles
* Progress in Remote Sensing of Heavy Metals in Water
* Progressive cross-level fusion network for RGB-D salient object detection
* Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression
* Project, Skate, and Refresh: Improved Schrödinger Bridge Sampler for Image Restoration
* Prompt Performance Prediction for Image Generation
* Prompt-Based Ingredient-Oriented All-in-One Image Restoration
* Prototype Correlation Matching and Class- Relation Reasoning for Few-Shot Medical Image Segmentation
* Prototype-wise self-knowledge distillation for few-shot segmentation
* Provable Unrestricted Adversarial Training Without Compromise With Generalizability
* Prune Channel and Distill: Discriminative Knowledge Distillation for Semantic Segmentation
* PSANet: Automatic colourisation using position-spatial attention for natural images
* PSSS-EEG: A Probabilistic-masking Self-Supervised Swin-transformer model for EEG-based drowsiness recognition
* PST-Diff: Achieving High-Consistency Stain Transfer by Diffusion Models With Pathological and Structural Constraints
* PTPFusion: A progressive infrared and visible image fusion network based on texture preserving
* PUAD: Frustratingly Simple Method for Robust Anomaly Detection
* PVDN-Urban: A Dataset for Provident Vehicle Detection at Night in Urban Scenarios
* PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image Segmentation
* PVT2DNet: Polyp segmentation with vision transformer and dual decoder refinement strategy
* PWISeg: Weakly-Supervised Surgical Instrument Instance Segmentation
* Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering
* pyramid Gaussian pooling based CNN and transformer hybrid network for smoke segmentation, A
* Pyramid quaternion discrete cosine transform based ConvNet for cancelable face recognition
* Q-Bench+: A Benchmark for Multi-Modal Foundation Models on Low-Level Vision From Single Images to Pairs
* QBMA-BIV: Quantum-Key-Distribution (QKD)-Based Multi-Server Authentication Scheme for Blockchain-Enabled Internet of Vehicles
* QFAE: Q-Function guided Action Exploration for offline deep reinforcement learning
* QKSAN: A Quantum Kernel Self-Attention Network
* Quadruple-Consistency Vision Transformer for Medical Image Segmentation with Limited Number of Sparse Annotations
* Quality Improvement Synthetic Aperture Radar (SAR) Images Using Compressive Sensing (CS) With Moore-Penrose Inverse (MP
* Quality of Experience of Viewport Adaptive Omnidirectional Video Streaming
* Quality-Invariant Domain Generalization for Face Anti-Spoofing
* Quantification and Visualization of CT Myocardial Perfusion Imaging to Detect Ischemia-Causing Coronary Arteries
* Quantifying Annual Glacier Mass Change and Its Influence on the Runoff of the Tuotuo River
* Quantifying Cyber Risks: The Impact of DoS Attacks on Vehicle Safety in V2X Networks
* Quantifying Night Sky Brightness as a Stressor for Coastal Ecosystems in Moreton Bay, Queensland
* Quantifying the Contributions of Vegetation Dynamics and Climate Factors to the Enhancement of Vegetation Productivity in Northern China (2001-2020)
* Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization
* Quantitative Analysis of Human Activities and Climatic Change in Grassland Ecosystems in the Qinghai-Tibet Plateau
* Quantitative Evaluations of Pumping-Induced Land Subsidence and Mitigation Strategies by Integrated Remote Sensing and Site-Specific Hydrogeological Observations
* Quantitative Pixel-Level Segmentation and 3D Reconstruction of Concealed Cracks in Asphalt Pavements
* Quantization After Inter Prediction in Displacement Coding of Dynamic Meshes
* Quantum-Resistant Key Management Scheme Using Blockchain in C-V2X, A
* Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction
* R2D2-GAN: Robust Dual Discriminator Generative Adversarial Network for Microscopy Hyperspectral Image Super-Resolution
* R3LIVE++: A Robust, Real-Time, Radiance Reconstruction Package With a Tightly-Coupled LiDAR-Inertial-Visual State Estimator
* Radar-Based Crowd Counting in Real-World Environments With Spatiotemporal Transformer
* Rafmnet: Reinforced Attention Fusion and Multiscale Network for Noisy Infrared and Visible Image Fusion
* Rage for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications
* Random Permutation Set Reasoning
* Random Tensor Analysis: Outlier Detection and Sample-Size Determination
* Range-Constrained and Stable Federated Charging Scheme for Electricity Vehicles
* Rate-Complexity Optimization in Lossless Neural-Based Image Compression
* Rate-Quality or Energy-Quality Pareto Fronts for Adaptive Video Streaming?
* RAVEN: Robust Anonymous Vehicular End-to-End Encryption and Efficient Mutual Authentication for Post-Quantum Intelligent Transportation Systems
* RD-Domain Virtual Aperture Extension Method for Shipborne HFSWR, An
* RDMS: Reverse distillation with multiple students of different scales for anomaly detection
* Rdssd: 3D Single Stage Object Detector for Roadside Lidar Sensors
* Reading is Believing: Revisiting Language Bottleneck Models for Image Classification
* Real-Time 3D Visual Perception by Cross-Dimensional Refined Learning
* Real-Time Analysis and Message Priority Assignment for TSN-CAN Gateway
* Real-Time and Resource-Efficient Multi-Scale Adaptive Robotics Vision for Underwater Object Detection and Domain Generalization
* Real-time fire and smoke detection with transfer learning based on cloud-edge collaborative architecture
* Real-Time Lightweight Video Super-Resolution With RRED-Based Perceptual Constraint
* Real-Time Monocular Depth Estimation on Embedded Systems
* Real-Time Pavement Damage Detection With Damage Shape Adaptation
* Real-Time Prediction of Remaining Driving Range for Electric Motorcycle Applications
* Real-Time Semantic Video Communication of General Scenes
* Real-Time Ubiquitous Radar Target Classification with 1D ResNet-SE-Based Multi-Channel Network
* Real-Time Video Prediction with Fast Video Interpolation Model and Prediction Training
* Real-World Atmospheric Turbulence Correction Via Domain Adaptation
* Real-World Satellite Video Subjective QOE Database, A
* Realization of Integrated Regional Ecological Management Based on Ecosystem Service Supply and Demand Flow Networks: An Example from a Dominant Mineral Resources Development Area
* Rebuttal to Comments
* ReCAP: Protecting Cooperative Adaptive Cruise Control Against Multi-Channel Perception Adversary
* Recognition of vehicle license plates in highway scenes with deep fusion network and connectionist temporal classification
* Reconstruct Dynamic Scene for Spike Camera Based on 3D Space Time Similarity
* Recovering Bathymetry Using BP Neural Network Combined with Modified Gravity-Geologic Method: A Case Study in the South China Sea
* Recurrent 3-D Multi-Level Visual Transformer for Joint Classification of Heterogeneous 2-D AND 3-D Radiographic Data
* Recurrent Multiscale Feature Modulation for Geometry Consistent Depth Learning
* Recurrent Spatio-Temporal Graph Neural Network Based on Latent Time Graph for Multi-Channel Time Series Forecasting, A
* Redefining Cystoscopy with AI: Bladder Cancer Diagnosis Using an Efficient Hybrid CNN-Transformer Model
* Redefining Visual Quality: The Impact of Loss Functions on INR-Based Image Compression
* Reduced-Scale Mobile Robots for Autonomous Driving Research
* Reducing Motion Artifacts in Brain MRI Using Vision Transformers and Self-Supervised Learning
* Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
* Reference-Aware Adaptive Network for Image-Text Matching
* Reference-then-supervision framework for infrared and visible image fusion
* Referring Image Segmentation with Two-Stage Multi-Modal Interaction
* Refined Coseismic Slip and Afterslip Distributions of the 2021 Mw 6.1 Yangbi Earthquake Based on GNSS and InSAR Observations
* Refining 3D Human Texture Estimation From a Single Image
* Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
* Reflection Removal via Recurrent Learning Guided by Physics Prior and Focal Perceptual Loss
* Regularization by denoising diffusion process meets deep relaxation in phase
* Reinforcement Learning-Based Secure Video Transmission For IOV Systems
* Reinforcing Pre-Trained Models Using Counterfactual Images
* Relational Proxies: Fine-Grained Relationships as Zero-Shot Discriminators
* Relationship between Tibetan Plateau Surface Heat Fluxes and Daily Heavy Precipitation in the Middle and Lower Yangtze River Basins (1980-2022)
* Relative Radiometric Correction Method Based on Temperature Normalization for Jilin1-KF02
* Relative Radiometric Normalization for the PlanetScope Nanosatellite Constellation Based on Sentinel-2 Images
* Remote Sensing Image Change Captioning Using Multi-Attentive Network with Diffusion Model
* Remote Sensing Image Denoising Based on Feature Interaction Complementary Learning
* Remote Sensing Image Uneven Haze Removal Based On Haze Density Estimation and Saliency-Driven Dual Channel Fusion
* Remote Sensing LiDAR and Hyperspectral Classification with Multi-Scale Graph Encoder-Decoder Network
* Remotely Sensed Estimation of Daily Near-Surface Air Temperature: A Comparison of Metop and MODIS
* Removing Reflective Flare in Real-World Conditions
* RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation
* Res-NeRV: Residual Blocks for a Practical Implicit Neural Video Decoder
* Research and Design of BPM Shortwave Time Signal Modulation Technology Based on Chirp
* Research on Distributed Autonomous Timekeeping Algorithm for Low-Earth-Orbit Constellation
* Research on Forage-Livestock Balance in the Three-River-Source Region Based on Improved CASA Model
* Research on Global Off-Road Path Planning Based on Improved A* Algorithm
* Research on image saliency detection based on deep neural network
* Research on Monitoring the Speed of Glacier Terminus Movement Based on the Time-Series Interferometry of a Ground-Based Radar System
* Research on Radar Target Detection Based on the Electromagnetic Scattering Imaging Algorithm and the YOLO Network
* Research on Vehicle Trajectory Prediction Methods in Urban Main Road Scenarios
* Reset: A Residual Set-Transformer Approach to Tackle the Ugly-Duckling Sign in Melanoma Detection
* Residual k-Nearest Neighbors Label Distribution Learning
* Residual network with self-adaptive time step size
* Resiliency-Guided Grid-Forming Converter Control of Distributed Solar-Powered Electric Vehicles
* ResNeRF-PCAC: Super Resolving Residual Learning NeRF for High Efficiency Point Cloud Attributes Coding
* RESSCAL3D++: Joint Acquisition and Semantic Segmentation of 3D Point Clouds
* Rethinking and Conceptualizing Just Noticeable Difference Estimation by Residual Learning
* Rethinking Domain Adaptation and Generalization in the ERA Of Clip
* Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher
* Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier Is All You Need
* Rethinking Noise Sampling in Class-Imbalanced Diffusion Models
* Rethinking Pooling for Multi-Granularity Features in Aerial-View Geo-Localization
* Rethinking Self-Attention for Multispectral Object Detection
* Rethinking Self-Supervised Semantic Segmentation: Achieving End-to-End Segmentation
* Rethinking Temporal Self-Similarity For Repetitive Action Counting
* Rethinking the validity of perturbation in single-step adversarial training
* Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing
* Retinex enhancement algorithm for low-light intensity image based on improved illumination map, The
* Retrieval of Solar Shortwave Irradiance from All-Sky Camera Images
* Revealing Cropping Intensity Dynamics Using High-Resolution Imagery: A Case Study in Shaanxi Province, China
* Revealing the Dark Side of Non-Local Attention in Single Image Super-Resolution
* Reverse Auction-Based Individualized Incentive System for Transit Mobility Management, A
* Review of Cloud-Edge SLAM: Toward Asynchronous Collaboration and Implicit Representation Transmission, A
* Review of Deep Learning-Based Remote Sensing Image Caption: Methods, Models, Comparisons and Future Directions, A
* review of recent advances in 3D Gaussian Splatting for optimization and reconstruction, A
* Review of Safe Reinforcement Learning: Methods, Theories, and Applications, A
* Review of Satellite-Based CO2 Data Reconstruction Studies: Methodologies, Challenges, and Advances, A
* Review of State-of-the-art Mixed-Precision Neural Network Frameworks, A
* Review of t-SNE, A
* Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications, A
* Review on Emergency Vehicle Management for Intelligent Transportation Systems, A
* Review on Hardware Devices and Software Techniques Enabling Neural Network Inference Onboard Satellites
* Revisiting 3D point cloud analysis with Markov process
* Revisiting the Trade-Off Between Accuracy and Robustness via Weight Distribution of Filters
* Revisiting trace norm minimization for tensor Tucker completion: A direct multilinear rank learning approach
* Revitalizing Convolutional Network for Image Restoration
* RFG-HDR: Representative Feature-Guided Transformer for Multi-Exposure High Dynamic Range Imaging
* RFI-Aware and Low-Cost Maximum Likelihood Imaging for High-Sensitivity Radio Telescopes
* RFNET: Refined Fusion Three-Branch RGB-D Salient Object Detection Network
* RFSC-net: Re-parameterization forward semantic compensation network in low-light environments
* RGB Guided ToF Imaging System: A Survey of Deep Learning-Based Methods
* RIDERS: Radar-Infrared Depth Estimation for Robust Sensing
* RIHINNet: A robust image hiding method against JPEG compression based on invertible neural network
* RIS-Assisted Secure UAV Communication Scheme Against Active Jamming and Passive Eavesdropping
* Road Crack Detection Model Integrating GLMANet and EFPN, A
* Road Traffic Sign Recognition Algorithm Based on Cascade Attention-Modulation Fusion Mechanism
* RoadBEV: Road Surface Reconstruction in Bird's Eye View
* Robust 3D Semantic Segmentation with Incomplete Point Clouds Based on Sequential Frame Sampling
* Robust Constraint-Following Control for Bio-Inspired Structure Oriented Active Suspension System of High-Speed Trains
* robust coverless image-synthesized video steganography based on asymmetric structure, A
* Robust Decoupled Cruise Control Design of the High-Speed Train as Uncertain Large-Scale System
* Robust Domain Adaptive Object Detection With Unified Multi-Granularity Alignment
* Robust Leader-Follower Control for Cooperative Harvesting Operation of a Tractor-Trailer and a Combine Harvester Considering Confined Space
* robust low-rank tensor completion model with sparse noise for higher-order data recovery, A
* Robust Multi-Prototypes Aware Integration for Zero-Shot Cross-Domain Slot Filling
* Robust Principal Component Analysis Based on Fuzzy Local Information Reservation
* Robust Representation Learning with Self-Distillation for Domain Generalization
* Robust Safety for Mixed-Autonomy Traffic With Delays and Disturbances
* Robust Sample Information Retrieval in Dark-Field Computed Tomography With a Vibrating Talbot-Lau Interferometer
* Robust Secret Image Sharing Resistant to JPEG Recompression Based on Stable Block Condition
* Robust Semi-Supervised Learning by Wisely Leveraging Open-Set Data
* Robust Skin Color Driven Privacy-Preserving Face Recognition Via Function Secret Sharing
* Robust text watermarking based on average skeleton mass of characters against cross-media attacks
* Robust Tracking via Combing Top-Down and Bottom-Up Attention
* Robust Trend Analysis in Environmental Remote Sensing: A Case Study of Cork Oak Forest Decline
* robust watermarking approach for medical image authentication using dual image and quorum function, A
* RobustMVS: Single Domain Generalized Deep Multi-View Stereo
* Robustness of Tensor Decomposition-Based Neural Network Compression
* Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
* ROI-DVC: A Region-of-Interest Based Deep Video Coding Framework
* Role of Subsurface Changes and Environmental Factors in Shaping Urban Heat Islands in Southern Xinjiang, The
* Rotated R-CNN: A Two-Stage Object Detection Method Adapted To Oriented Bounding Boxes
* RP-Net: A Robust Polar Transformation Network for rotation-invariant face detection
* RSPS-SAM: A Remote Sensing Image Panoptic Segmentation Method Based on SAM
* Rsud20K: a Dataset for Road Scene Understanding in Autonomous Driving
* RTMDet-MGG: A Multi-Task Model With Global Guidance
* S3GCN: Sport Scoring Siamese Graph Convolution Network
* Safe Reinforcement Learning With Dual Robustness
* Safeguard Vehicle Platooning Based on Resilient Control Against False Data Injection Attacks
* Safety-Aware Human-in-the-Loop Reinforcement Learning With Shared Control for Autonomous Driving
* Safety-Oriented Motion Cueing Algorithm for a Serial Robotic Flight Simulator Using a Predictive Neural Network Reference Governor, A
* SAFLFusionGait: Gait recognition network with separate attention and different granularity feature learnability fusion
* Saliency As a Schedule: Intuitive Image Attribution
* Saliency detection for underwater moving object with sonar based on motion estimation and multi-trajectory analysis
* Saliency-Aware End-to-End Learned Variable-Bitrate 360-Degree Image Compression
* Salient Guided Text Detection in E-Commerce Images
* Salient Object Detection From Arbitrary Modalities
* Sample Domain Prediction and Transform Skip for Region Adaptive Hierarchical Transform in Geometric Point Cloud Compression
* SANERV: Scene-Adaptive Neural Representation for Videos
* SARO-MB3-BiGRU: A novel model for short-term traffic flow forecasting in the context of big data
* Say No to Freeloader: Protecting Intellectual Property of Your Deep Model
* Scalable and Adaptable Supervised Learning Approach for Solving the Traveling Salesman Problems, A
* Scalable Hypersphere Embedding for Semantic Metric Learning
* Scalable Training Strategy for Blind Multi-Distribution Noise Removal, A
* Scene Chinese Recognition with Local and Global Attention
* Scene Generalized Multi-View Pedestrian Detection with Rotation-Based Augmentation and Regularization
* Scene Text Recognition Using Progressive Rectification Network And Spelling Error Correction Language Model
* Scintillation Counters of the High-Energy Particle Detector of the China Seismo-Electromagnetic (CSES-02) Satellite, The
* Score-Based Counterfactual Generation for Interpretable Medical Image Classification and Lesion Localization
* Screen-Shooting Resistant Watermarking With Grayscale Deviation Simulation
* SDFSD-v1.0: A Sub-Meter SAR Dataset for Fine-Grained Ship Detection
* SDPT: Semantic-Aware Dimension-Pooling Transformer for Image Segmentation
* SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI
* SE3D: A Framework for Saliency Method Evaluation in 3D Imaging
* SEA++: Multi-Graph-Based Higher-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation
* Search and recovery network for camouflaged object detection
* Searching Discriminative Regions for Convolutional Neural Networks in Fundus Image Classification With Genetic Algorithms
* Searching to Exploit Memorization Effect in Deep Learning With Noisy Labels
* Seasonal and Interannual Variations in Sea Ice Thickness in the Weddell Sea, Antarctica (2019-2022) Using ICESat-2
* Seasonal Variations in the Rainfall Kinetic Energy Estimation and the Dual-Polarization Radar Quantitative Precipitation Estimation Under Different Rainfall Types in the Tianshan Mountains, China
* Secret image sharing with distinct covers based on improved Cycling-XOR
* Secrets of Event-Based Optical Flow, Depth and Ego-Motion Estimation by Contrast Maximization
* Secure Self-Certified Broadcast Authentication Protocol for Intelligent Transportation Systems in UAV-Assisted Mobile Edge Computing Environments, A
* See the Unseen: Grid-Wise Drivable Area Detection Dataset and Network Using LiDAR
* SeFi-CD: A Semantic First Change Detection Paradigm That Can Detect Any Change You Want
* SegGuard: Defending Scene Segmentation Against Adversarial Patch Attack
* SegHSI: Semantic Segmentation of Hyperspectral Images With Limited Labeled Pixels
* Segment Any Object Model (SAOM): Real-To-Simulation Fine-Tuning Strategy For Multi-Class Multi-Instance Segmentation
* Segmentation of Drone Collision Hazards in Airborne RADAR Point Clouds Using PointNet
* Segmentation of Hard Exudates and Hemorrhages from Diabetic Retinopathy Images Using Residual U-Net with Squeeze and Excite Blocks
* Seismic Random Noise Attenuation Using DARE U-Net
* Selective Transfer Learning of Cross-Modality Distillation for Monocular 3D Object Detection
* Self-Distillation With Augmentation in Feature Space
* Self-Enhanced Feature Fusion for RGB-D Semantic Segmentation
* Self-Supervised 3D Scene Flow Estimation and Motion Prediction Using Local Rigidity Prior
* Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks
* Self-Supervised Anomaly Detection and a New Benchmark for X-Ray Cargo Images
* Self-Supervised Diffusion Framework for Facial Emotion Recognition, A
* Self-supervised fusion network for RGB-D interest point detection and description
* Self-Supervised Monocular Depth Estimation for All-Day Images Based on Dual-Axis Transformer
* Self-Supervised Multi-View Stereo with Adaptive Depth Priors
* Self-Supervised Point Cloud Prediction for Autonomous Driving
* Self-Supervised Sub-Action Parsing Network for Semi-Supervised Action Quality Assessment
* Self-supervised vessel trajectory segmentation via learning spatio-temporal semantics
* Semantic aware representation learning for optimizing image retrieval systems in radiology
* Semantic Enhanced Few-Shot Object Detection
* Semantic-Aware Detail Search and Feature Constraint for Cross-Resolution Person Re-Identification
* Semantic-aware frame-event fusion based pattern recognition via large vision-language models
* Semantic-Based Implicit Feature Transform for Few-Shot Classification
* Semantic-Constraint Matching for transformer-based weakly supervised object localization
* Semantic-Enhanced Point-Box Joint Prompting for Video Object Segmentation
* Semantic-Guided Representation Enhancement for Multi-Label Image Classification
* Semantic-Region Specific Lookup Tables for Image Enhancement Via Unpaired Learning
* Semantically Enhanced Label Prediction Method for Imbalanced POI Data Category Distribution, A
* Semi-Supervised 3D Object Detection with Channel Augmentation Using Transformation Equivariance
* Semi-Supervised Action Recognition from Newborn Resuscitation Videos
* Semi-supervised contextual cognitive augmentation-based cross-teaching network for multiclass medical image segmentation
* Semi-Supervised Coupled Thin-Plate Spline Model for Rotation Correction and Beyond
* Semi-Supervised Domain Adaptation via Joint Transductive and Inductive Subspace Learning
* Semi-Supervised Graph Structure Learning via Dual Reinforcement of Label and Prior Structure
* Semi-Supervised Graphical Deep Dictionary Learning for Hyperspectral Image Classification From Limited Samples
* semi-supervised segmentation network fusing pseudo-label with multi-level feature consistency correction for hard exudates, A
* SemiGMMPoint: Semi-supervised point cloud segmentation based on Gaussian mixture models
* Sensor-Health Aware Resilient Fusion With Application to Multi-Vehicle Tracking Using Infrastructure Sensors and Edge Compute
* Sequential Manipulation Against Rank Aggregation: Theory and Algorithm
* Sequential Scan-Based Single-Dimension Multi-Voxel System Matrix Calibration for Open-Sided Magnetic Particle Imaging
* Set of Diverse Queries With Uncertainty Regularization for Composed Image Retrieval
* Set-Nas: Sample-Efficient Training for Neural Architecture Search With Strong Predictor and Stratified Sampling
* Severe Convection at Burgas Airport: Case Study 17 September 2022
* SEY-Net: Semantic edge Y-shaped network for pancreas segmentation
* SFD: Similar Frame Dataset for Content-Based Video Retrieval
* SFDiff: Diffusion model with sufficient spatial-Fourier frequency information interaction for low-light image enhancement
* SFNet - A Spatial-Frequency Domain Neural Network For Image Lens Flare Removal
* SG-JND: Semantic-Guided Just Noticeable Distortion Predictor for Image Compression
* SGIR-Tree: Integrating R-Tree Spatial Indexing as Subgraphs in Graph Database Management Systems
* SH-YOLO: Small Target High Performance YOLO for Abnormal Behavior Detection in Escalator Scene
* Shadow-Aware Makeup Transfer with Lighting Adaptation
* Sharpness-Aware Lookahead for Accelerating Convergence and Improving Generalization
* Shifting from Trade-Offs to Synergies in Ecosystem Services Through Effective Ecosystem Management in Arid Areas
* Ship Landmark: An Informative Ship Image Annotation and Its Applications
* Si-GAIS: Siamese Generalizable-Attention Instance Segmentation for Intersection Perception System
* Siamese network optimization using genetic algorithm for brain diseases, A
* Similarity-Weighted IoU (sIOU): A Comprehensive Metric for Evaluating Model Performance Through Similarity-Weighted Class Overlaps
* Simple Image Signal Processing using Global Context Guidance
* Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions
* Simsam: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation
* Simulating High-Resolution Sun-Induced Chlorophyll Fluorescence Image of Three-Dimensional Canopy Based on Photon Mapping
* Simulating the Cellular Context in Synthetic Datasets for Cryo-Electron Tomography
* Single Graph Convolution is All You Need: Efficient Grayscale Image Classification, A
* Single-Panorama Classification of 3D Objects Using Horizontally Stacked Dilated Convolutions
* SINO-CT-Fusion-Net: A Lightweight Deep Learning Framework for Detection and Classification of Intracranial Hemorrhages
* SkatingVerse: A large-scale benchmark for comprehensive evaluation on human action understanding
* SKETCH2MANGA: Shaded Manga Screening from Sketch with Diffusion Models
* Skin cancer identification utilizing deep learning: A survey
* Sky-GVIO: Enhanced GNSS/INS/Vision Navigation with FCN-Based Sky Segmentation in Urban Canyon
* Sky-Scanning for Energy: Unveiling Rural Electricity Consumption Patterns through Satellite Imagery's Convolutional Features
* SLAM2: Simultaneous Localization and Multimode Mapping for indoor dynamic environments
* SLNL: Soft Label Regularization for Semi-Supervised Facial Expression Recognition with Negative Label Learning
* Small Object Detection Method Based on Global Multi-Level Perception and Dynamic Region Aggregation
* SMO-CLIP: Enhancing Anomalous Smoke Density Assessment Using a Hybrid LLM-VLM Approach
* Smooth Tensor Product for Tensor Completion
* SN-NET: Semismooth Newton Driven Lightweight Network for Real-World Image Denoising
* SNN using color-opponent and attention mechanisms for object recognition
* Social Welfare Theory-Inspired Lexicographic Optimal Charging Scheduling Framework for Modular EV Fast Charging Stations, A
* Social-ATPGNN: Prediction of multi-modal pedestrian trajectory of non-homogeneous social interaction
* SODA: A Dataset for Small Object Detection in UAV Captured Imagery
* Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations
* SoLAD: Sampling Over Latent Adapter for Few Shot Generation
* Some Can Be Better than All: Multimodal Star Transformer for Visual Dialog
* Source-Free Continual Adaptive Learning with Limited Labels on Evolving Data Drifts
* Source-Free Image-Text Matching via Uncertainty-Aware Learning
* SovaSeg-Net: Scale Invariant Ovarian Tumors Segmentation from Ultrasound Images
* Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine Learning with Multi-Sensor Observations
* Sparse Coding Inspired LSTM and Self-Attention Integration for Medical Image Segmentation
* Sparse Graph Formulation for Efficient Spectral Image Segmentation, A
* Sparse Transformer Refinement Similarity Map for Aerial Tracking
* Sparse-View Spectral CT Reconstruction and Material Decomposition Based on Multi-Channel SGM
* SparseComm: An Efficient Sparse Communication Framework for Vehicle-Infrastructure Cooperative 3D Detection
* Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction
* Spatial and Temporal Patterns of Forest Biomass Carbon Sink in China from 1990 to 2021
* Spatial and Temporal Patterns of Grassland Species Diversity and Their Driving Factors in the Three Rivers Headwater Region of China from 2000 to 2021
* Spatial Downscaling of Sea Surface Temperature Using Diffusion Model
* Spatial Ensemble Distillation Learning for Large-Scale Real-Time Crash Prediction
* Spatial guided image captioning: Guiding attention with object's spatial interaction
* Spatial Plaid Attention Decoder for Semantic Segmentation
* Spatial Prior-Guided Bi-Directional Cross-Attention Transformers for Tooth Instance Segmentation
* Spatial Steerability of GANs via Self-Supervision from Discriminator
* Spatial-Channel Collaborated Attention for Cross-Scale Crowd Counting
* Spatial-Temporal Analysis of Greenness and Its Relationship with Poverty in China
* Spatial-Temporal Correlation Learning for Traffic Demand Prediction
* Spatial-Temporal Evaluation of Satellite-Derived Rainfall Estimations for Water Resource Applications in the Upper Congo River Basin
* Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object Detection
* Spatial-Temporal Upfront Pricing Under a Mixed Pooling and Non-Pooling Market With Reinforcement Learning
* Spatiality-Aware Prompt Tuning for Few-Shot Small Object Detection
* Spatially Varying Effect Mechanism of Intermodal Connection on Metro Ridership: Evidence from a Polycentric Megacity with Multilevel Ring Roads
* Spatio-Temporal Adaptation with Dilated Neighbourhood Attention for Accident Anticipation
* Spatio-Temporal Aligned SUNet Model for Low-Light Video Enhancement, A
* Spatio-temporal feature learning for enhancing video quality based on screen content characteristics
* Spatiotemporal Evolution Analysis of Surface Deformation on the Beihei Highway Based on Multi-Source Remote Sensing Data
* Spatiotemporal Information, Near-Field Perception, and Service for Tourists by Distributed Camera and BeiDou Positioning System in Mountainous Scenic Areas
* Spectral Characteristics and Identification of Degraded Alpine Meadow in Qinghai-Tibetan Plateau Based on Hyperspectral Data
* Spectral Discrimination of Common Karoo Shrub and Grass Species Using Spectroscopic Data
* SPFDNet: Water Extraction Method Based on Spatial Partition and Feature Decoupling
* SR4KVQA: Video quality assessment database and metric for 4K super-resolution
* SRL-ProtoNet: Self-supervised representation learning for few-shot remote sensing scene classification
* SS-CXR: Self-Supervised Pretraining Using Chest X-Rays Towards A Domain Specific Foundation Model
* SSR-2D: Semantic 3D Scene Reconstruction From 2D Images
* Stability Assessment of the Maltravieso Cave (Caceres, Spain) Through Engineering Rock Mass Classification, Empirical, Numerical and Remote Techniques
* Stackelberg Pricing Game for Ride-Hailing Platforms With Combined Travel Modes
* STAFFormer: Spatio-temporal adaptive fusion transformer for efficient 3D human pose estimation
* Stage-by-Stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction
* Standard Compliant Video Coding Using Low Complexity, Switchable Neural Wrappers
* Standardized Spectroscopic Mixture Model, The
* Standards for Data Space Building Blocks
* Start-TV: A Closed-Form Initialization for Total Variation Models
* Statistical Analysis of Complex Shape Graphs
* Statistical and Independent Component Analysis of Sentinel-1 InSAR Time Series to Assess Land Subsidence Trends
* Statistical Image Realism Score For Deepfake Detection, A
* Statistics-Aware Audio-Visual Deepfake Detector
* Status of the Implementation of the Building Information Modeling Mandate in Poland: A Literature Review, The
* Stay Focus on Object: Cross-Domain Detection Using Domain-Invariant Object Representation
* STCA: High-Altitude Tracking via Single-Drone Tracking and Cross-Drone Association
* Stegocrypt: A robust tri-stage spatial steganography algorithm using TLM encryption and DNA coding for securing digital images
* Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
* STQD-Det: Spatio-Temporal Quantum Diffusion Model for Real-Time Coronary Stenosis Detection in X-Ray Angiography
* Strain and Deformation Analysis Using 3D Geological Finite Element Modeling with Comparison to Extensometer and Tiltmeter Observations
* Strategy Based on LSTM Controller With Adaptive Proportional Compensation for High-Speed Train Operation Control, A
* Streaming Neural Images
* Streamlined Hybrid Annotation Framework Using Scalable Codestream for Bandwidth-Restricted UAV Object Detection
* StreamVoice+: Evolving Into End-to-End Streaming Zero-Shot Voice Conversion
* Stroke-Seg: A deep learning-based framework for chinese stroke segmentation
* Strong-Help-Weak: An Online Multi-Task Inference Learning Approach for Robust Advanced Driver Assistance Systems
* Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation
* Structure-Guided Image Completion With Image-Level and Object-Level Semantic Discriminators
* Structured Pruning and Quantization for Learned Image Compression
* Study and Analysis of the Thunder Source Location Error Based on Acoustic Ray-Tracing
* Study of the Evolution of Haze Microblog Concerns Based on a Co-Word Network Analysis, A
* Study of the Tidal Variations in the Ionosphere and the MLT Region over Mohe and Beijing During Six Intense Geomagnetic Storms from 2016 to 2021
* Study on a Spatiotemporal Entity-Based Event Data Model, A
* study on a target detection model for autonomous driving tasks, A
* Study on the Classification of Shrubs and Grasses on the Tibetan Plateau Based on Unmanned Aerial Vehicle Multispectral Imagery, A
* Study on the Effect of Color Spaces in Learned Image Compression, A
* Study on the Identification Method of Planar Geological Structures in Coal Mines Using Ground-Penetrating Radar
* Study on the Predawn Ionospheric Heating Effect and Its Main Controlling Factors, A
* Study on Typhoon Center Localization Based on an Improved Spatio-Temporally Consistent Scale-Invariant Feature Transform and Brightness Temperature Perturbations, A
* Subblock-Based Combined Inter and Intra Prediction Beyond VVC
* Subgroups for Detection Transformer
* Subjective Driving Risk Prediction Based on Spatiotemporal Distribution Features of Human Driver's Cognitive Risk
* Subjective Portrait Region Cropping on Landscape Video Study
* Subjective Quality Assessment of Thermal Infrared Images
* Subjective Quality Evaluation of 3D Mesh with Dynamic Level of Detail in Virtual Reality, A
* Super-Fast Satellite Selection Algorithm Based on Power Series Expansion, A
* Super-Resolution for Near-Eye Light Field Display in Fourier Space
* Super-resolution reconstruction algorithm for medical images by fusion of wavelet transform and multi-scale adaptive feature selection
* Super: Selfie Undistortion and Head Pose Editing with Identity Preservation
* Superpixel Guided Network for Weakly Supervised Semantic Segmentation
* Superpixel Mixing: A Data Augmentation Technique for Robust Deep Visual Recognition Models
* Surface Ages in the Vicinity of the Chang'e-6 Landing Site
* Surface Anomaly Detection with Anomalous Feature Restriction And Difference-Aware Enhancement
* Surface defect detection method of aluminium alloy castings based on data enhancement and CRT-DETR
* Surface Reconstruction From Point Clouds: A Survey and a Benchmark
* Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation, A
* Survey of Extrinsic Calibration on LiDAR-Camera System for Intelligent Vehicle: Challenges, Approaches, and Trends
* Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal, A
* Survey of Label-Efficient Deep Learning for 3D Point Clouds, A
* Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application, A
* Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations, A
* Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking, A
* Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective, A
* Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection, A
* Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future, A
* Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends, A
* Sustainable Distributed Adaptive Platoon in Multi-Agent Mobile-Edge Computing Networks for Lane Reduction Scenario
* SvRetina-LPD: A Sliding Vertex-Based RetinaNet for Robust Multi-Oriented License Plate Detection
* Swin-fisheye: Object detection for fisheye images
* Symbolic Music Generation From Graph-Learning-Based Preference Modeling and Textual Queries
* Synthesis Pyramid Pooling: A Strong Pooling Method for Gait Recognition in the Wild
* Synthmanticlidar: A Synthetic Dataset for Semantic Segmentation On Lidar Imaging
* System-Informed Neural Network for Frequency Detection
* Systematic Review of Ship Wake Detection Methods in Satellite Imagery, A
* Systematic Review of Single-Channel EEG-Based Drowsiness Detection Methods
* S²CNet: Semantic and Structure Completion Network for 3D Object Detection
* T-Net++: Effective Permutation-Equivariance Network for Two-View Correspondence Pruning
* TagCLIP: Improving Discrimination Ability of Zero-Shot Semantic Segmentation
* Talking-Head Video Compression With Motion Semantic Enhancement Model
* Target localization and defect detection of distribution insulators based on ECA-SqueezeNet and CVAE-GAN
* Taxes are All You Need: Integration Of Taxonomical Hierarchy Relationships Into the Contrastive Loss
* TBConvL-Net: A hybrid deep learning architecture for robust medical image segmentation
* TBNet: A texture and boundary-aware network for small weak object detection in remote-sensing imagery
* TCA-NET: Triplet Concatenated-Attentional Network for Multimodal Engagement Estimation
* TCFormer: Visual Recognition via Token Clustering Transformer
* TDAD: Trident Distillations for Anomaly Detection
* Tectonic Activity Analysis of the Laji-Jishi Shan Fault Zone: Insights from Geomorphic Indices and Crustal Deformation Data
* Temporal adaptive bidirectional bridging for RGB-D tracking
* Temporal Clustering and Temporal Reference Based Specular Detection for 1-MS Visual Feedback System
* Temporal Regularization for Robust Motion Compensation in Reduced Dose Cardiac-Gated Spect Images
* Temporal Scalable Coding for Dynamic Meshes
* Temporal Transformer Encoder for Video Class Incremental Learning
* Temporal-Spatial SPDAGG Network For Skeleton-Based Human Action Recognition From Aerial Perspectives
* Temporo-Spatial Parallel Sparse Memory Networks for Efficient Video Object Segmentation
* Tensorized and Compressed Multi-View Subspace Clustering via Structured Constraint
* Terahertz Emission Modeling of Lunar Regolith
* Testing the Limits of Atmospheric Correction over Turbid Norwegian Fjords
* Text Detector Based on the Specific Text Prompt, A
* Thermal Videodiff (TVD): A Diffusion Architecture for Thermal Video Synthesis
* Thqa: A Perceptual Quality Assessment Database for Talking Heads
* Three-Dimensional Geometric-Physical Modeling of an Environment with an In-House-Developed Multi-Sensor Robotic System
* Three-Dimensional Reconstruction of Retaining Structure Defects from Crosshole Ground Penetrating Radar Data Using a Generative Adversarial Network
* Three-Dimensional Thermohaline Reconstruction Driven by Satellite Sea Surface Data Based on Sea Ice Seasonal Variation in the Arctic Ocean
* Three-way decision-based label integration for crowdsourcing
* Through-Wall Imaging Based On WiFi Channel State Information
* Time Difference of Arrival Estimation Method Utilizing an Inexact Reconstruction Within the Framework of Compressed Sensing, The
* Time Series Anomaly Detection in Vehicle Sensors Using Self-Attention Mechanisms
* Time-Dependent Lane-Level Navigation With Spatiotemporal Mobility Modeling Based on the Internet of Vehicles
* Time-Reversion Fast-Sampling Score-Based Model for Limited-Angle CT Reconstruction
* Time-Space-Based Virtual Coupling High-Speed Train Separation Model and Trajectory Planning
* Tiny Object Detection via Regional Cross Self-Attention Network
* Token-Mixer: Bind Image and Text in One Embedding Space for Medical Image Reporting
* Toolkit to Benchmark Point Cloud Quality Metrics with Multi-Track Evaluation Criteria, A
* TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching
* Topo-Geometric Analysis of Variability in Point Clouds Using Persistence Landscapes
* Toward Blind Flare Removal Using Knowledge-Driven Flare-Level Estimator
* Toward DNN of LUTs: Learning Efficient Image Restoration With Multiple Look-Up Tables
* Toward Efficient Deep Blind Raw Image Restoration
* Toward Efficient Video Compression Artifact Detection and Removal: A Benchmark Dataset
* Toward Greener and Sustainable Airside Operations: A Deep Reinforcement Learning Approach to Pushback Rate Control for Mixed-Mode Runways
* Toward Low Artifact Virtual Try-On Via Pre-Warping Partitioned Clothing Alignment
* Toward Modalities Correlation for RGB-T Tracking
* Toward On-Demand Transmission: Joint Feature and Image Coding With Reversible Neural Networks
* Toward Real-World Super Resolution with Adaptive Self-Similarity Mining
* Toward Reliable License Plate Detection in Varied Contexts: Overcoming the Issue of Undersized Plate Annotations
* Toward Sustainable Last-Mile Deliveries: A Comparative Study of Energy Consumption and Delivery Time for Drone-Only and Drone-Aided Public Transport Approaches in Urban Areas
* Toward Task-Independent Optimal Adaptive Control of a Hip Exoskeleton for Locomotion Assistance in Neurorehabilitation
* Towards a Flexible Semantic Guided Model for Single Image Enhancement and Restoration
* Towards Accurate and Low-Cost Path Reconstruction in Mobile UAV Networks
* Towards Better Control of Latent Spaces for Face Editing
* Towards Context-Aware Emotion Recognition Debiasing From a Causal Demystification Perspective via De-Confounded Training
* Towards Discriminative Feature Generation for Generalized Zero-Shot Learning
* Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph
* Towards Generalizable Referring Image Segmentation Via Target Prompt And Visual Coherence
* Towards Generalized UAV Object Detection: A Novel Perspective from Frequency Domain Disentanglement
* Towards Hybrid Quantum-Classical Deep Learning Architecture for Indoor-Outdoor Detection Using QCNN-LSTM and Cluster State Signal Processing
* Towards Lightweight Super-Resolution With Dual Regression Learning
* Towards Non Co-occurrence Incremental Object Detection with Unlabeled In-the-Wild Data
* Towards Privacy-Enhancing Provenance Annotations for Images
* Towards Robust Person Re-Identification Via Efficient and Generalized Adversarial Training
* Towards Robust Semantic Segmentation against Patch-Based Attack via Attention Refinement
* Towards Robust Visual Localization Using Multi-View Images and HD Vector Map
* Towards Specific Domain Prompt Learning via Improved Text Label Optimization
* Towards the Detection of AI-Synthesized Human Face Images
* Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
* Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset
* Towards Visual-Prompt Temporal Answer Grounding in Instructional Video
* Tracking Moisture Dynamics in a Karst Rock Formation Combining Multi-Frequency 3D GPR Data: A Strategy for Protecting the Polychrome Hall Paintings in Altamira Cave
* Traffic Load Simulation for Long-Span Bridges Using a Transformer Model Incorporating In-Lane Transverse Vehicle Movements
* Traffic Object Detection for Autonomous Driving Fusing LiDAR and Pseudo 4D-Radar Under Bird's-Eye-View
* Traffic Sign Interpretation via Natural Language Description
* Traffic Signal Coordination Under Stochastic Demands and Turning Ratios Considering Spatial-Temporal Dependencies
* Traffic Signal Phase and Timing Estimation Using Trajectory Data From Radar Vision Integrated Camera
* Traffic State Estimation for Connected Vehicles Using the Second-Order Aw-Rascle-Zhang Traffic Model
* Trajectory Intent Prediction of Autonomous Systems Using Dynamic Mode Decomposition
* Trajectory Planning for Autonomous Driving Featuring Time-Varying Road Curvature and Adhesion Constraints
* Transformation Decoupling Strategy Based on Screw Theory for Deterministic Point Cloud Registration With Gravity Prior
* Transformer Module Networks for Systematic Generalization in Visual Question Answering
* Transformer-Based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval
* Transformer-based invertible neural network for robust image watermarking, A
* Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection, A
* Transformer-Based Visual Segmentation: A Survey
* Transformer-CNN for small image object detection
* Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach
* Transition in Different Critical Situations: How Non-Driving Related Tasks Affect Drivers' Physiological Response and Takeover Behavior After Partial Automation Silent Failures
* Transportation for 4-DOF Tower Cranes: A Periodic Sliding Mode Control Approach
* TRECK: Long-Term Traffic Forecasting With Contrastive Representation Learning
* Tree Completion Net: A Novel Vegetation Point Clouds Completion Model Based on Deep Learning
* Tree Species Classification by Multi-Season Collected UAV Imagery in a Mixed Cool-Temperate Mountain Forest
* Tree Species Classification from UAV Canopy Images with Deep Learning Models
* Triple Consistency for Transparent Cheating Problem in Light Field Depth Estimation
* Triplet Adaptation Framework for Robust Semi-Supervised Learning
* Tropical Cyclone Wind Direction Retrieval Based on Wind Streaks and Rain Bands in SAR Images
* Trustworthy Authentication Against Visual Master Face Dictionary Attacks (Trauma), A
* Trustworthy SR: Resolving Ambiguity in Image Super-Resolution Via Diffusion Models and Human Feedback
* TSAE-UNet: A Novel Network for Multi-Scene and Multi-Temporal Water Body Detection Based on Spatiotemporal Feature Extraction
* TSF-NET3D: TSF-NET for 3D Point Cloud Attribute Compression Artifacts Removal
* TTMGNet: Tree Topology Mamba-Guided Network Collaborative Hierarchical Incremental Aggregation for Change Detection
* Tuning Vision-Language Models With Multiple Prototypes Clustering
* Two Heads Better Than One: Dual Degradation Representation for Blind Super-Resolution
* Two-Dimensional Coherent Polarization-Direction-of-Arrival Estimation Based on Sequence-Embedding Fusion Transformer
* two-layer regression network for robust and accurate domain adaptation, A
* Two-Level Intra Prediction Using High-Order Macropixel Neighbors for Plenoptic Video Coding
* Two-Stage Offloading for an Enhancing Distributed Vehicular Edge Computing and Networks: Model and Algorithm
* Two-Stage Tripletnet: Light Weight Remote Sensing Scene Classification
* Typhoon Early Warning and Monitoring Based on the Comprehensive Characteristics of Oceanic and Ionospheric Echoes from HFSWR: The Case of Typhoon Muifa
* U-Convnext Network for Infrared Small Target Detection
* U-Match: Exploring Hierarchy-Aware Local Context for Two-View Correspondence Learning
* U-Tell: Unsupervised Task Expert Lifelong Learning
* U-TPE: A universal approximate thumbnail-preserving encryption method for lossless recovery
* UAFer: A Unified Model for Class-Agnostic Binary Segmentation With Uncertainty-Aware Feature Reassembly
* UAT: Unsupervised object tracking based on graph attention information embedding
* UAV image object detection based on self-attention guidance and global feature fusion
* UCSwin-UNet model for medical image segmentation based on cardiac haemangioma
* Uimt: A Framework for Improving Unimodal Inference via Multimodal Training
* UIR-ES: An unsupervised underwater image restoration framework with equivariance and stein unbiased risk estimator
* Ultra-High Resolution Image Segmentation via Locality-Aware Context Fusion and Alternating Local Enhancement
* Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation
* Unambiguous Pyramid Cost Volumes Fusion for Stereo Matching
* Unbiased scene graph generation via head-tail cooperative network with self-supervised learning
* Uncalibrated and Unsupervised Photometric Stereo with Piecewise Regularizer
* Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
* Uncertainty-Aware and Class-Balanced Domain Adaptation for Object Detection in Driving Scenes
* Uncertainty-Aware Pedestrian Crossing Prediction via Reinforcement Learning
* Uncertainty-Boosted Robust Video Activity Anticipation
* Uncovering Communities of Pipelines in the Task-FMRI Analytical Space
* Understanding LiDAR Performance for Autonomous Vehicles Under Snowfall Conditions
* Understanding Whitening Loss in Self-Supervised Learning
* Underwater Change Detection Using Multiple Sampling-Based Probabilistic Learner and Feature Preservance Discriminator
* Underwater Optical Imaging: Methods, Applications and Perspectives
* Underwater organisms detection algorithm based on multi-scale perception and representation enhancement
* Uni-to-Multi Modal Knowledge Distillation for Bidirectional LiDAR-Camera Semantic Segmentation
* Unicrowd Simulator: Visual and Behavioral Fidelity For The Generation of Crowd Datasets
* Unified Stability and Plasticity for Lifelong Person Re-Identification in Cloth-Changing and Cloth-Consistent Scenarios
* UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data
* UniRTL: A universal RGBT and low-light benchmark for object tracking
* Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search
* Universal Black-Box Adversarial Patch Attack with Optimized Genetic Algorithm
* UNK-VQA: A Dataset and a Probe Into the Abstention Ability of Multi-Modal Large Models
* Unleashing Fine-Coarse Curve Perception Via Trunk-Branch Perturbation
* Unleashing the Power of Generalized Iterative Closest Point for Swift and Effective Point Cloud Registration
* Unmanned Aerial Vehicle (UAV)-Based Pavement Image Stitching Without Occlusion, Crack Semantic Segmentation, and Quantification
* Unraveling the Platoon Dynamics of Connected Automated Vehicles With Information Errors
* Unrolled Projected Gradient Algorithm for Stain Separation in Digital Histopathological Images
* Unsupervised 3D Object Segmentation of Point Clouds by Geometry Consistency
* Unsupervised Active Visual Search With Monte Carlo Planning Under Uncertain Detections
* Unsupervised Coordinate-Based Video Denoising
* Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
* Unsupervised Domain Adaptation on End-to-End Multi-Talker Overlapped Speech Recognition
* Unsupervised Domain Adaptive Semantic Segmentation Based on Clip-Guided Prototypical Contrastive Learning
* Unsupervised Homography Estimation With Pixel-Level SVDD
* Unsupervised mapping and semantic user localisation from first-person monocular video
* Unsupervised Multi-Scale Hybrid Feature Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images
* Unsupervised Part Discovery via Dual Representation Alignment
* Unsupervised PolSAR Image Classification Based on Superpixel Pseudo-Labels and a Similarity-Matching Network
* UPT-Flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement
* Urban Spatiotemporal Event Prediction Using Convolutional Neural Network and Road Feature Fusion Network
* 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 Resistivity Structure to Study the Seismogenic Mechanism of the 2021 Luxian Ms6.0 Earthquakes
* Using UAV RGB Images for Assessing Tree Species Diversity in Elevation Gradient of Zao Mountains
* Utilizing Inherent Bias for Memory Efficient Continual Learning: A Simple and Robust Baseline
* UTrCGAN:Uncertainty-Driven Cycle-Consistent Generative Adversarial Network for Low-Light Image Enhancement
* V2V Energy Trading Scheme Based on Collaborative Edge Computing and Lightning Network
* VAG: Voxel Attenuation Grid for Sparse-View CBCT Reconstruction
* Validation of OLCI Sentinel-3 Water Products in the Baltic Sea and an Evaluation of the Effect of System Vicarious Calibration (SVC) on the Level-2 Water Products, A
* Value of Sentinel-1 Ocean Wind Fields Component for the Study of Polar Lows, The
* Variable Neighborhood Search and Alternating Direction Method of Multipliers for Integrated Optimization of Maintenance Windows and Train Timetables
* Variational Label Enhancement for Instance-Dependent Partial Label Learning
* Variations of Lake Ice Phenology Derived from MODIS LST Products and the Influencing Factors in Northeast China
* VCDSet: A New Vehicle Collision Dataset in Asia Countries for Anticipating Accidents
* Vegetative Index Intercalibration Between PlanetScope and Sentinel-2 Through a SkySat Classification in the Context of Riserva San Massimo Rice Farm in Northern Italy
* Vehicle Tracking System in Underground Parking Lots Using Smartphone
* Vehicular Ad Hoc Networks Topology Optimization for Autonomous Intersection Management System: A Periodic Intervention-Based Approach
* Velocity-Dependent Orientation Estimation Using Variance Adaptation for Extended Object Tracking
* Versatile Teacher: A class-aware teacher-student framework for cross-domain adaptation
* VF-Net: Robustness Via Understanding Distortions and Transformations
* VidaGAN: Adaptive GAN for image steganography
* Video Anomaly Detection via self-supervised and spatio-temporal proxy tasks learning
* Video Class-Incremental Learning with CLIP Based Transformer
* Video object detection via space-time feature aggregation and result reuse
* Video Rescaling With Recurrent Diffusion
* Video-Based Multi-Camera Vehicle Tracking via Appearance-Parsing Spatio-Temporal Trajectory Matching Network
* ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection
* VirPNet: A Multimodal Virtual Point Generation Network for 3D Object Detection
* virtual-reality spatial matching algorithm and its application on equipment maintenance support: System design and user study, A
* Virtual-Sensor Construction Network Based on Physical Imaging for Image Super-Resolution, A
* visible-infrared person re-identification method based on meta-graph isomerization aggregation module, A
* Vision + X: A Survey on Multimodal Learning in the Light of Data
* Vision Transformer with Key-Select Routing Attention for Single Image Dehazing
* Vision-Centric BEV Perception: A Survey
* Vision-Driven Model Based on Cognitive Heuristics for Simulating Subgroup Behaviors During Evacuation, A
* Visual Grounding With Dual Knowledge Distillation
* Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal
* Visual Out-of-Distribution Detection in Open-Set Noisy Environments
* Vito: Vision Transformer Optimization Via Knowledge Distillation On Decoders
* Vizecgnet: Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation
* VLAI: Exploration and Exploitation based on Visual-Language Aligned Information for Robotic Object Goal Navigation
* VPA-Net: A visual perception assistance network for 3d lidar semantic segmentation
* VPDet: Refined region CNN for hair follicle recognition in arbitrary angle
* VR-Based Generation of Photorealistic Synthetic Data for Training Hand-Object Tracking Models
* VTPL: Visual and text prompt learning for visual-language models
* WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes
* Wasserstein Discriminant Dictionary Learning for Graph Representation
* Water Use Efficiency in Rice Under Alternative Wetting and Drying Technique Using Energy Balance Model with UAV Information and AquaCrop in Lambayeque, Peru
* Water-Ecological Health Assessment Considering Water Supply-Demand Balance and Water Supply Security: A Case Study in Xinjiang
* WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces
* Wavelet-Enhanced CNN for Depression Classification Based on MRI Images
* Wavelet-Inspired Multi-Channel Score-Based Model for Limited-Angle CT Reconstruction
* WB-LRP: Layer-wise relevance propagation with weight-dependent baseline
* WC-CP: A Bluetooth Low Energy Indoor Positioning Method Based on the Weighted Centroid of the Convex Polygon
* Weak Augmentation Guided Relational Self-Supervised Learning
* Weakly-Supervised Depth Estimation and Image Deblurring via Dual-Pixel Sensors
* Weather-Aware Drone-View Object Detection Via Environmental Context Understanding
* Webly supervised 3D shape recognition
* Weighted Fusion Method of Marine Gravity Field Model Based on Water Depth Segmentation
* What Is Beyond Hyperbola Detection and Characterization in Ground-Penetrating Radar Data?: Implications from the Archaeological Site of Goting, Germany
* When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
* When Is It Safe to Complete an Overtaking Maneuver? Modeling Drivers' Decision to Return After Passing a Cyclist
* When Self-Supervised Pre-Training Meets Single Image Denoising
* Where and Why Travelers Visit? Classifying Coastal Tourism Activities Using Geotagged Image Content from Social Media Data
* Where to Decide? Centralized Versus Distributed Vehicle Assignment for Platoon Formation
* Whole Organ Volumetric Sensing Ultrasound Localization Microscopy for Characterization of Kidney Structure
* WHU-Smartphone: A Large-Scale Multi-Traffic Scene GNSS Dataset of Android Smartphones and a Low-Cost GNSS Module
* WNet: A dual-encoded multi-human parsing network
* WrappingNet: Mesh Autoencoder Via Deep Sphere Deformation
* XFMP: A Benchmark for Explainable Fine-Grained Abnormal Behavior Recognition on Medical Personal Protective Equipment
* YOLO-Feder Fusionnet: A Novel Deep Learning Architecture for Drone Detection
* YOLO-RSFM: An efficient road small object detection method
* YOLODCC: Improved YOLOv8 combined with dynamic confidence compensation for lightweight moving object detection
* Youtube SFV+HDR Quality Dataset
* Zenith Total Delay Combination of International GNSS Service Repro3 and the Analysis of Its Precision, The
* Zero-CSC: Low-light image enhancement with zero-reference color self-calibration
* Zero-Shot Composed Image Retrieval Considering Query-Target Relationship Leveraging Masked Image-Text Pairs
* Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities
* Zone Evaluation: Revealing Spatial Bias in Object Detection
* ZooKT: Task-adaptive knowledge transfer of Model Zoo for few-shot learning
* ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
2246 for 2411

Index for "2"


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