Update Dates 2312

2312 * *CAIP
* *CVS
* *Iberoamerican Congress on Pattern Recognition
* *ICIAP
* *ICIP
* 2F-TP: Learning Flexible Spatiotemporal Dependency for Flexible Traffic Prediction
* 3D Brain Registration with Intensity Shift Robustness
* 3D Face Reconstruction Based on Weakly-Supervised Learning Morphable Face Model
* 3D Facial Expression Generator Based on Transformer VAE
* 3D Hippocampus Segmentation Using a Hog Based Loss Function with Majority Pooling
* 3D Human Motion Prediction via Activity-Driven Attention-MLP Association
* 3D Label Stereo Matching Method Using Underwater Energy Function, A
* 3D layout estimation of general rooms based on ordinal semantic segmentation
* 3D LiDAR Multi-Object Tracking with Short-Term and Long-Term Multi-Level Associations
* 3d Non-separable Moment Invariants
* 3D Semantic Segmentation of Aerial Photogrammetry Models Based on Orthographic Projection
* 3D Unsupervised Region-Aware Registration Transformer
* 3D Vehicle Object Tracking Algorithm Based on Bounding Box Similarity Measurement
* 3D-CSL: Self-Supervised 3D Context Similarity Learning for Near-Duplicate Video Retrieval
* 3D-DDA: 3D Dual-Domain Attention for Brain Tumor Segmentation
* 3D-Gradient Guided Rate Control Model for Screen Content Video Coding
* 3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data
* 3M3D: Multi-View, Multi-Path, Multi-Representation for 3D Object Detection
* 3SNet: Semi-Anchor-Free 3D Object Detector With Slice Attention and Symmetric Features Propagation
* 4DME: A Spontaneous 4D Micro-Expression Dataset With Multimodalities
* AAFACE: Attribute-Aware Attentional Network for Face Recognition
* Abandoned Object Detection Using Persistent Homology
* Abnormal-Aware Loss and Full Distillation for Unsupervised Anomaly Detection Based on Knowledge Distillation
* Accurate and robust visual SLAM with a novel ray-to-ray line measurement model
* Accurate Registration between Ultra-Wide-Field and Narrow Angle Retina Images with 3D Eyeball Shape Optimization
* Accurate Segmentation for Pathological Lung Based on Integration of 3D Appearance and Surface Models
* Accurate Single-Image Defocus Deblurring Based on Improved Integration with Defocus Map Estimation
* ACE-MEF: Adaptive Clarity Evaluation-Guided Network With Illumination Correction for Multi-Exposure Image Fusion
* Achieving a Decentralized and Secure Cab Sharing System Using Blockchain Technology
* Action Anticipation with Goal Consistency
* Action recognition method based on lightweight network and rough-fine keyframe extraction
* Active Class Selection for Dataset Acquisition in Sign Language Recognition
* Active Supervision: Human in the Loop
* Activity-based model based on multi-day cellular data: Considering the lack of personal attributes and activity type
* ADA-VIT: Attention-Guided Data Augmentation for Vision Transformers
* AdaNI: Adaptive Noise Injection to improve adversarial robustness
* Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
* Adaptive and Robust Mmwave-Based 3D Human Mesh Estimation for Diverse Poses
* Adaptive Approach for Battery State of Charge and State of Power Co-Estimation With a Fractional-Order Multi-Model System Considering Temperatures, An
* Adaptive bistable stochastic resonance based blind watermark extraction in discrete cosine transform domain
* Adaptive Camouflage Pattern Generation to Different Environments Via Content-Aware Style Transfer
* adaptive enhancement method based on stochastic parallel gradient descent of glioma image, An
* Adaptive Gaussian mixture model for identifying outliers in historical route travel times
* Adaptive Graph Convolution Module for Salient Object Detection
* Adaptive graph fusion learning for multi-view spectral clustering
* Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal Retrieval
* Adaptive Multi-Feature Fusion Graph Convolutional Network for Hyperspectral Image Classification
* Adaptive Multi-Fidelity Sampling Framework for Safety Analysis of Connected and Automated Vehicles, An
* Adaptive semantic transfer network for unsupervised 2D image-based 3D model retrieval
* Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing
* Adaptive Traffic Light Control With Deep Reinforcement Learning: An Evaluation of Traffic Flow and Energy Consumption
* Adaptive Underwater Image Enhancement Guided by Generalized Imaging Components
* AdaTriplet-RA: Domain matching via adaptive triplet and reinforced attention for unsupervised domain adaptation
* Adding Distance Information to Self-Supervised Learning for rich Representations
* Addressing Information Inequality for Text-Based Person Search via Pedestrian-Centric Visual Denoising and Bias-Aware Alignments
* Adequacy Analysis Using UAV of Heavy Rainfall Disaster Reduction Facilities According to Urban Development in Republic of Korea
* ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection
* Adjustable Fast Decision Method for Affine Motion Estimation in VVC, An
* ADMNet: Adaptive-Weighting Dual Mapping for Online Tracking With Respiratory Motion Estimation in Contrast-Enhanced Ultrasound
* Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score.
* Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression
* Adversarial and focused training of abnormal videos for weakly-supervised anomaly detection
* Adversarial color projection: A projector-based physical-world attack to DNNs
* Adversarial Defect Synthesis for Industrial Products in Low Data Regime
* Adversarial Defense via Perturbation-Disentanglement in Hyperspectral Image Classification
* Adversarial Example Detection Bayesian Game
* Adversarial Neon Beam: A light-based physical attack to DNNs
* AFA-Net: Adaptive Feature Attention Network in image deblurring and super-resolution for improving license plate recognition
* AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition
* Aggregated Shape Similarity Index: A Case Study of Comparing the Footprints of OpenStreetMap and INSPIRE Buildings, An
* AGLC-GAN: Attention-based global-local cycle-consistent generative adversarial networks for unpaired single image dehazing
* Ai-driven Prototype for Groundwater Level Prediction: Exploring the Gorgovivo Spring Case Study, An
* AICT: An Adaptive Image Compression Transformer
* Airborne LiDAR Strip Adjustment Method Based on Point Clouds with Planar Neighborhoods
* Alibaba and forty thieves algorithm and novel Prioritized Prewitt Pattern(PPP)-based convolutional neural network (CNN) using hyperspherically compressed weights for facial emotion recognition
* Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation
* All-Intra Rate Control Using Low Complexity Video Features for Versatile Video Coding
* Alpr: A Method for Identifying License Plates Using Sequential Information
* ALR-GAN: Adaptive Layout Refinement for Text-to-Image Synthesis
* Alternating Direction Method of Multipliers for Convolutive Non-Negative Matrix Factorization
* Alternative to Bilinear and Nearest-Neighbour Enlarging for Monitor Displays, An
* Ambiguous Edge Detection Method for Computed Tomography Scans of Coronavirus Disease 2019 Cases, An
* AMCFNet: Asymmetric multiscale and crossmodal fusion network for RGB-D semantic segmentation in indoor service robots
* Analysis and Impact of Training Set Size in Cross-subject Human Activity Recognition
* Analysis of Spatial and Temporal Distribution Patterns of Traditional Opera Culture along the Beijing-Hangzhou Grand Canal
* Analysis of Spatiotemporal Variations and Influencing Factors of Sea Ice Extent in the Arctic and Antarctic
* Analysis of the E-Region Low-Altitude Quasi-Periodic Event in Low-Latitudes of China
* Analysis of Various Visual Cryptographic Techniques and their Issues Based on Optimization Algorithms
* AnANet: Association and Alignment Network for Modeling Implicit Relevance in Cross-Modal Correlation Classification
* Annotating the Inferior Alveolar Canal: The Ultimate Tool
* Anti-Disturbance Adaptive Control Approach for Automated Vehicles in Mixed Connected Traffic Environment, An
* AoI-Aware Power Control and Subcarrier Assignment in D2D-Aided Underlaying Cellular Networks for High-Speed Railways
* APP-Net: Auxiliary-Point-Based Push and Pull Operations for Efficient Point Cloud Recognition
* Appearance-Motion Network for Vision-Based Crash Detection: Improving the Accuracy in Congested Traffic, An
* Application of a Multifractal Model for Identification of Lithology and Hydrothermal Alteration in the Dasuji Porphyry Mo Deposit in Inner Mongolia, China
* Applying Dynamic Human Activity to Disentangle Property Crime Patterns in London during the Pandemic: An Empirical Analysis Using Geo-Tagged Big Data
* Applying Segment-Level Attention on Bi-Modal Transformer Encoder for Audio-Visual Emotion Recognition
* approximate tensor singular value decomposition approach for the fast grouping of whole-body human poses, An
* Arbitrary Point Cloud Upsampling Via Dual Back-Projection Network
* Arbitrary-oriented traffic participant detection and axis prediction for complex crossing road in aerial view
* Are metrics measuring what they should? An evaluation of Image Captioning task metrics
* Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation
* Artifact: A Large-Scale Dataset With Artificial And Factual Images For Generalizable And Robust Synthetic Image Detection
* Assessing domain gap for continual domain adaptation in object detection
* Assessing Regional Development Balance Based on Zipf's Law: The Case of Chinese Urban Agglomerations
* Assessing Rice Sheath Blight Disease Habitat Suitability at a Regional Scale through Multisource Data Analysis
* Assessing the Generalizability of Deep Neural Networks-based Models for Black Skin Lesions
* Assessing the limits of centralized unmanned aerial vehicle conflict management in U-Space
* Assessment of Machine Learning Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco—Mexico
* Assessment of Upper-Body Movement Quality in the Cartesian-Space is Feasible in the Harmony Exoskeleton
* ASVFI: Audio-Driven Speaker Video Frame Interpolation
* Asymmetric Cross-Scale Alignment for Text-Based Person Search
* Asymmetric Scalable Cross-Modal Hashing
* Asymmetric Training in RealnessGAN
* Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing
* Atten-Adapter: A Unified Attention-Based Adapter for Efficient Tuning
* Attention Cycle-consistent universal network for More Universal Domain Adaptation
* Attention-Guided Contrastive Masked Image Modeling for Transformer-Based Self-Supervised Learning
* Attentive Deep K-SVD Network for Patch Correlated Image Denoising
* Attribute Learning with Knowledge Enhanced Partial Annotations
* Attribute network joint embedding based on global attention
* Attribute-guided transformer for robust person re-identification
* Audio Related Quality of Experience Evaluation in Urban Transportation Environments With Brain Inspired Graph Learning
* Audio-Visual Emotion Recognition With Preference Learning Based on Intended and Multi-Modal Perceived Labels
* Audio-Visual Quality Assessment for User Generated Content: Database and Method
* Augmentation Based on Artificial Occlusions for Resilient Instance Segmentation
* Augmented Multi-Scale Spatiotemporal Inconsistency Magnifier for Generalized DeepFake Detection
* Augmented Reality for Indoor Localization and Navigation: The Case of UNIPI AR Experience
* Autism Spectrum Disorder Identification from Visual Exploration of Images
* Automated Classification of Dyadic Conversation Scenarios Using Autonomic Nervous System Responses
* Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers
* Automated Method for Generating Prefabs of AR Map Point Symbols Based on Object Detection Model, An
* Automated Vehicle Identification Based on Car-Following Data With Machine Learning
* Automatic Colorectal Polyps Detection Approach for Ct Colonography, An
* Automatic Crop Classification Based on Optimized Spectral and Textural Indexes Considering Spatial Heterogeneity
* Automatic Detection and Mapping of Dolines Using U-Net Model from Orthophoto Images
* Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches
* Automatic Generation of Semantic Parts for Face Image Synthesis
* Automatic Shadow Generation via Exposure Fusion
* Automatic Targetless Monocular Camera and LiDAR External Parameter Calibration Method for Mobile Robots
* Autonomous Bus Operation Alternatives in Urban Areas Using Fuzzy Dombi-Bonferroni Operator Based Decision Making Model
* Autonomous Driving Based on Approximate Safe Action
* Autonomous Polycrystalline Material Decomposition For Hyperspectral Neutron Tomography
* Autonomous Vehicle Group Cooperation Model in an Urban Scene, An
* autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion Segmentation
* Average Gradient-Based Adversarial Attack
* Background Clustering Pre-Training for Few-Shot Segmentation
* Background Masked Guided Network for Skin Lesion Segmentation in Dermoscopy Image
* Base Layer Efficiency in Scalable Human-Machine Coding
* Baseline on Continual Learning Methods for Video Action Recognition, A
* BATINeT: Background-Aware Text to Image Synthesis and Manipulation Network
* Bayesian Federated Learning Framework With Online Laplace Approximation, A
* Bayesian Hybrid Loss for Hyperspectral SISR Using 3D Wide Residual CNN
* BCKD: Block-Correlation Knowledge Distillation
* Be an Excellent Student: Review, Preview, and Correction
* Behavioral analysis of bar charts in documents via stochastic petri-net modeling
* Benchmark Analysis for Robustness of Multi-Scale Urban Road Networks Under Global Disruptions
* Benchmark and Investigation of Deep-learning-based Techniques for Detecting Natural Disasters in Aerial Images, A
* Benchmarking of Blind Video Deblurring Methods on Long Exposure and Resource Poor Settings
* BGTracker: Cross-Task Bidirectional Guidance Strategy for Multiple Object Tracking
* BHAC-MRI: Backdoor and Hybrid Attacks on MRI Brain Tumor Classification Using CNN
* Bi-Graph Reasoning for Masticatory Muscle Segmentation From Cone-Beam Computed Tomography
* Bias-Based Soft Label Learning for Facial Expression Recognition
* Bibliometric Insights into the Implications of Urban Built Environment on Travel Behavior
* bidirectional fusion branch network with penalty term-based trihard loss for person re-identification, A
* Bidirectional Translation Between UHD-HDR and HD-SDR Videos
* Bilaterally Slimmable Transformer for Elastic and Efficient Visual Question Answering
* Bilevel Imaging Learning Problems as Mathematical Programs with Complementarity Constraints: Reformulation and Theory
* Biometric Recognition of African Clawed Frogs
* Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks
* Bitrate-Performance Optimized Model Training for the Neural Network Coding (NNC) Standard
* BITS-Net: Blind Image Transparency Separation Network
* Blackbox Face Reconstruction from Deep Facial Embeddings Using A Different Face Recognition Model
* Blind Dehazed Image Quality Assessment: A Deep CNN-Based Approach
* Blind image watermark decoder in NSST-FPCET domain using Weibull Mixtures-HMT
* Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics
* Blind Quality Assessment of Light Field Image Based on Spatio-Angular Textural Variation
* Blind single-image-based thin cloud removal using a cloud perception integrated fast Fourier convolutional network
* Block-Based Motion Estimation for Deep-Learned Video Coding
* Blues: Before-relu-estimates Bayesian Inference for Crowd Counting
* Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces
* Boosting Generic Visual-Linguistic Representation With Dynamic Contexts
* Brain-Inspired Hierarchical Interactive In-Memory Computing System and Its Application in Video Sentiment Analysis, A
* Branch-and-Price Algorithm for Large-Scale Multidepot Electric Bus Scheduling, A
* Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning
* Breast MRI Multi-tumor Segmentation Using 3d Region Growing
* Bridging the Gap: Analyzing the Relationship between Environmental Justice Awareness on Twitter and Socio-Environmental Factors Using Remote Sensing and Big Data
* BS-YOLOv5s: Insulator Defect Detection with Attention Mechanism and Multi-Scale Fusion
* BSL: Sustainable Collaborative Inference in Intelligent Transportation Systems
* Budget-aware Pruning for Multi-domain Learning
* Buffer-MIL: Robust Multi-instance Learning with a Buffer-based Approach
* But That's Not Why: Inference Adjustment by Interactive Prototype Revision
* CAM-Enhancing Generative Person Re-ID Method Based Global and Local Features, A
* Can Human Attribute Segmentation be More Robust to Operational Contexts Without New Labels?
* Can we Distill Knowledge from Powerful Teachers Directly?
* Capsule Transformer Network for Dynamic Hand Gesture Recognition Using Multimodal Data
* CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components
* cascaded framework with cross-modality transfer learning for whole heart segmentation, A
* Category-Aware Multimodal Attention Network for Fashion Compatibility Modeling
* Causality-Driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians, A
* CCRANet: A Two-Stage Local Attention Network for Single-Frame Low-Resolution Infrared Small Target Detection
* CDNet: Cluster Decision for Deepfake Detection Generalization
* CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution
* CDS-Net: Cooperative dual-stream network for image manipulation detection
* Cellular Binary Neural Network for Accurate Image Classification and Semantic Segmentation
* CenterTube: Tracking Multiple 3D Objects With 4D Tubelets in Dynamic Point Clouds
* Cfab: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images
* CFPNet: A Denoising Network for Complex Frequency Band Signal Processing
* Change Detection for Remote Sensing Images based on Semantic Prototypes and Contrastive Learning
* Change Detection Needs Neighborhood Interaction in Transformer
* Channel Pruning Via Attention Module And Memory Curve
* Channel Pyramidal Transformer Network for Single Image Deraining
* Characterization of Antenna Radiation Pattern and Penetration Depth in Ground Penetrating Radar Field Missions
* Charge Curve and Battery Management System Aware Optimal Charging Scheduling Framework for Electric Vehicle Fast Charging Stations With Heterogeneous Customer Mix, A
* Chassis Global Dynamics Optimization for Automated Vehicles: A Multiactuator Integrated Control Method
* CISPC: Embedding Images and Point Clouds in a Joint Concept Space by Contrastive Learning
* CKT: Cross-Image Knowledge Transfer for Texture Anomaly Detection
* Classification of Breast Micro-calcifications as Benign or Malignant Using Subtraction of Temporally Sequential Digital Mammograms and Machine Learning
* Classification of Honey Pollens with Imagenet Neural Networks
* Classification Task Assisted Segmentation Network for Breast Tumor Segmentation in Ultrasound Images
* Classify NIR Iris Images Under Alcohol/drugs/sleepiness Conditions Using a Siamese Network
* ClGanNet: A novel method for maize leaf disease identification using ClGan and deep CNN
* Click-Pixel Cognition Fusion Network With Balanced Cut for Interactive Image Segmentation
* CLIP-FG: Selecting Discriminative Image Patches by Contrastive Language-Image Pre-Training for Fine-Grained Image Classification
* CLIP-TSA: Clip-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection
* CLIP4Stereo: Revisiting Domain Generalized Stereo Matching via Clip
* Closer Look at Video Sampling for Sequential Action Recognition, A
* CLOT: Contrastive Learning-Driven and Optimal Transport-Based Training for Simultaneous Clustering
* ClothFit: Cloth-Human-Attribute Guided Virtual Try-on Network Using 3D Simulated Dataset
* ClothSeg: semantic segmentation network with feature projection for clothing parsing
* Cloud Water Path-Based Model for Cloudy-Sky Downward Longwave Radiation Estimation from FY-4A Data, A
* Cluster-Level Contrastive Learning for Emotion Recognition in Conversations
* CMGNet: Collaborative multi-modal graph network for video captioning
* CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers
* CNN Accelerator at the Edge With Adaptive Zero Skipping and Sparsity-Driven Data Flow
* CNN-Based Estimation of Water Depth from Multispectral Drone Imagery for Mosquito Control
* Co-MDA: Federated Multisource Domain Adaptation on Black-Box Models
* Coarse to Fine Two-Stage Approach to Robust Tensor Completion of Visual Data
* Coarse-to-Fine Feedback Guidance Based Stereo Image Quality Assessment Considering Dominant Eye Fusion
* Coarse-To-Fine Pyramid Feature Mining for Wheat Head Detection
* Coarse-to-Fine Task-Driven Inpainting for Geoscience Images
* Coastal Vulnerability Assessment of Thrace Peninsula: Implications for Climate Change and Sea Level Rise
* COCCA: Point Cloud Completion through CAD Cross-Attention
* COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection
* COFI: Coarse-semantic to Fine-instance Unsupervised Mitochondria Segmentation in EM
* CoInNet: A Convolution-Involution Network With a Novel Statistical Attention for Automatic Polyp Segmentation
* Collaborative Multi-Metadata Fusion to Improve the Classification of Lumbar Disc Herniation
* Collaborative Vehicle Rerouting System With Dynamic Vehicle Selection
* Color Learning for Image Compression
* Com-STAL: Compositional Spatio-Temporal Action Localization
* Combining Identity Features and Artifact Analysis for Differential Morphing Attack Detection
* Combining Self-Supervised and Supervised Learning with Noisy Labels
* Common Lines Approach for Ab Initio Modeling of Molecules with Tetrahedral and Octahedral Symmetry, A
* Communication-Aware Motion Planning of AUV in Obstacle-Dense Environment: A Binocular Vision-Based Deep Learning Method
* Compact Neural Network via Stacking Hybrid Units
* Compact Selective Transformer Based on Information Entropy for Facial Expression Recognition in the Wild
* Comparative Analysis of Pixel-Level Fusion Algorithms and a New High-Resolution Dataset for SAR and Optical Image Fusion
* Comparative Hotspot Analysis of Urban Living Environments and Transit-Oriented Development (TOD) Strategies: A Case Study of Beijing and Xi'an
* Comparative Performance Assessment of Different Video Codecs, A
* Comparative Study of Explainable Ai models in the Assessment of Multiple Sclerosis, A
* Comparative Study of Landslide Susceptibility Mapping Using Bagging PU Learning in Class-Prior Probability Shift Datasets, A
* Comparative Study of Saliency- and Scanpath-Based Approaches for Patch Selection in Image Quality Assessment
* Comparative Study on Noise-Estimation-Based Fuzzy C-Means Clustering for Image Segmentation
* Comparison of convolutional neural networks architectures for mango leaf classification
* Comparison of GPM IMERG Version 06 Final Run Products and Its Latest Version 07 Precipitation Products across Scales: Similarities, Differences and Improvements
* Comparison of Neural Network-based Super-resolution Models on 3d Rendered Images, A
* Compensation for Patient Movements in CBCT Imaging for Dental Applications
* Complete AI-based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management, A
* Complexity Reduction of Graph Signal Denoising Based on Fast Graph Fourier Transform
* Complexity Scalable Learning-Based Image Decoding
* Complexity-Efficient Quantizer Selection for HEVC Encoder
* Compound Effects of Highway Reconstruction and Climate Change on Vegetation Activity over the Qinghai Tibet Plateau: The G318 Highway as a Case Study, The
* Compound Multi-Branch Feature Fusion for Image Deraindrop
* Comprehensive receptive field adaptive graph convolutional networks for action recognition
* Comprehensive Survey of Dataset Distillation, A
* Comprehensive Survey on Authentication and Attack Detection Schemes That Threaten It in Vehicular Ad-Hoc Networks, A
* Comprehensive Survey on Distributed Training of Graph Neural Networks, A
* Comprehensive Survey on Privacy-Preserving Spatial Data Query in Transportation Systems
* Compressed Geometric Arrays for Point Cloud Processing
* Computation Offloading for Energy and Delay Trade-Offs With Traffic Flow Prediction in Edge Computing-Enabled IoV
* Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
* Computer Vision-based Water Level Monitoring System for Touchless and Sustainable Water Dispensing, A
* Computer-Aided Autism Spectrum Disorder Diagnosis With Behavior Signal Processing
* Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network
* Condition Invariance for Autonomous Driving by Adversarial Learning
* Conditional reiterative High-Fidelity GAN inversion for image editing
* Confidence-Aware Clustered Landmark Filtering For Hybrid 3D Face Tracking
* Consensus Knowledge Exploitation for Partial Query Based Image Retrieval
* Consensus Ranking for Efficient Face Image Retrieval: A Novel Method for Maximising Precision and Recall
* Consensus-Based Vehicle Platoon Control Under Periodic Event-Triggered Strategy
* Consistency Preservation and Feature Entropy Regularization for GAN Based Face Editing
* Consistent and Diverse Human Motion Prediction Using Conditional Variational Autoencoder with Context-Aware Latent Space
* Consistent and Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting
* Constructing comprehensive and discriminative representations with diverse attention for occluded person re-identification
* Constructing Immunized Stego-Image for Secure Steganography via Artificial Immune System
* Construction of a Real-Time Ship Trajectory Prediction Model Based on Ship Automatic Identification System Data
* Content-Adaptive Parallel Entropy Coding for End-to-End Image Compression
* Context-Aware Data Augmentation for LIDAR 3d Object Detection
* Context-Aware Inpainter-Refiner for Skeleton-Based Human Motion Completion
* Context-Aware Multi-Stream Networks for Dimensional Emotion Prediction in Images
* Context-Aware Pedestrian Trajectory Prediction with Multimodal Transformer
* Context-Aware Transformers for Weakly Supervised Baggage Threat Localization
* Contextualizing Meta-Learning via Learning to Decompose
* Continual Learning for Out-of-Distribution Pedestrian Detection
* Continual Learning, Fast and Slow
* Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning
* Continual Source-free Unsupervised Domain Adaptation
* Continuous and Periodic Event-Triggered Sliding-Mode Control for Path Following of Underactuated Surface Vehicles
* Contour Artifact Removal for Expanded HDR Content
* Contour-Assisted Long-Range Perceptual Network for Camouflaged Instance Segmentation
* Contradicted by the Brain: Predicting Individual and Group Preferences via Brain-Computer Interfacing
* Contrario Detection of H.264 Video Double Compression, A
* Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models
* Contrastive Learning Approach for Screenshot Demoiréing, A
* Contrastive Multi-Level Graph Neural Networks for Session-Based Recommendation
* Control of Connected Vehicles in Road Network via Traffic Flow Information Feedback
* Controllable Model Compression for Roadside Camera Depth Estimation
* Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space
* Convergence Analysis of Volumetric Stretch Energy Minimization and Its Associated Optimal Mass Transport
* Convergent Neural Network for Non-Blind Image Deblurring, A
* Convexification Numerical Method for a Coefficient Inverse Problem for the Riemannian Radiative Transfer Equation
* ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets
* Convolutional Features-Based Broad Learning With LSTM for Multidimensional Facial Emotion Recognition in Human-Robot Interaction
* Convolutional Forward Models for X-Ray Computed Tomography
* Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness, A
* Coordinated Control Strategy of Railway Multisource Traction System With Energy Storage and Renewable Energy
* Coordination and Optimization Control Framework for Vessels Platooning in Inland Waterborne Transportation System
* Copy-paste with self-adaptation: A self-adaptive adjustment method based on copy-paste augmentation
* Correlation and Foreground Attention to Improve Object Detection
* Correlation between Ionospheric Electron Density Variations Derived from Swarm Satellite Observations and Seismic Activity at the Australian-Pacific Tectonic Plate Boundary, The
* Coseismic Deformation, Fault Slip Distribution, and Coulomb Stress Perturbation of the 2023 Turkiye-Syria Earthquake Doublet Based on SAR Offset Tracking
* Cost-Efficient Multi-Instance Multi-Label Active Learning Via Correlation of Features
* Counterfactual explanations for misclassified images: How human and machine explanations differ
* Coupled discriminative manifold alignment for low-resolution face recognition
* Coupling Spatial and Channel Transformer for Single Image Deraining
* Covariance-Aware Feature Alignment with Pre-Computed Source Statistics for Test-Time Adaptation to Multiple Image Corruptions
* CPA-YOLOv7: Contextual and pyramid attention-based improvement of YOLOv7 for drones scene target detection
* CPG-LS: Causal Perception Guided Linguistic Steganography
* CPG3D: Cross-Modal Priors Guided 3D Object Reconstruction
* CPU Microarchitectural Performance Analysis of SVT-AV1 Encoder
* CR-LDSO: Direct Sparse LiDAR-Assisted Visual Odometry With Cloud Reusing
* CR-UNIT: Unsupervised Image-to-Image Translation with Content Reconstruction
* Critical Disaster Indicators (CDIs): Deriving the Duration, Damage Degree, and Recovery Level from Nighttime Light Image Time Series
* Cross Modal Video Representations for Weakly Supervised Active Speaker Localization
* Cross Spectral Image Reconstruction Using a Deep Guided Neural Network
* Cross-Class Bias Rectification for Point Cloud Few-Shot Segmentation
* Cross-Domain Aspect-Based Sentiment Classification by Exploiting Domain- Invariant Semantic-Primary Feature
* Cross-domain car detection model with integrated convolutional block attention mechanism
* Cross-Domain Few-Shot Classification Via Inter-Source Stylization
* Cross-Domain Image-Object Retrieval Based on Weighted Optimal Transport
* Cross-domain point cloud completion for multi-class indoor incomplete objects via class-conditional GAN inversion
* Cross-Inferential Networks for Source-Free Unsupervised Domain Adaptation
* Cross-Layer Patch Alignment and Intra-and-Inter Patch Relations for Knowledge Distillation
* Cross-Level Multi-Modal Features Learning With Transformer for RGB-D Object Recognition
* Cross-Modal Data Augmentation for Tasks of Different Modalities
* Cross-Modality Transformer With Modality Mining for Visible-Infrared Person Re-Identification
* Cross-Radiometric Calibration and NDVI Application Comparison of FY-4A/AGRI Based on Aqua-MODIS
* Cross-Scale Query-Support Alignment Approach for Small Object Detection in the Few-Shot Regime
* Cross-View Recurrence-Based Self-Supervised Super-Resolution of Light Field
* CrossFuser: Multi-Modal Feature Fusion for End-to-End Autonomous Driving Under Unseen Weather Conditions
* Crowd Emotion Prediction for Human-Vehicle Interaction Through Modified Transfer Learning and Fuzzy Logic Ranking
* Crustal Imaging across the Princess Elizabeth Land, East Antarctica from 2D Gravity and Magnetic Inversions
* Cryptanalysis of iterative encryption and image sharing scheme based on the VQ attack
* CS-net: Conv-simpleformer network for agricultural image segmentation
* CSIR: Cascaded Sliding CVAEs With Iterative Socially-Aware Rethinking for Trajectory Prediction
* CT-VOS: Cutout prediction and tagging for self-supervised video object segmentation
* CTI-Unet: Hybrid Local Features and Global Representations Efficiently
* Cuboid-Net: A multi-branch convolutional neural network for joint space-time video super resolution
* Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation
* Curriculum Knowledge Switching for Pancreas Segmentation
* CVCNet: Learning Cost Volume Compression for Efficient Stereo Matching
* CXRMIM: Masked Image Modeling Pre-Training Paradigm for Chest X-Ray Images Analysis
* Cycle Consistency Based Pseudo Label and Fine Alignment for Unsupervised Domain Adaptation
* CycleGAN-Based SAR-Optical Image Fusion for Target Recognition
* D-DARTS: Distributed Differentiable Architecture Search
* DASTSiam: Spatio-temporal fusion and discriminative enhancement for Siamese visual tracking
* Data Augmentation Using Corner CutMix and an Auxiliary Self-Supervised Loss
* Data Generation with Structure Enforcing Adversarial Learning
* Data Poisoning Attack Aiming the Vulnerability of Continual Learning
* Data-Assisted Two-Stage Method for the Inverse Random Source Problem, A
* Dataset Distillation: A Comprehensive Review
* Dataset-Level Directed Image Translation for Cross-Domain Crowd Counting
* DAUT: Underwater Image Enhancement Using Depth Aware U-shape Transformer
* DBN-Mix: Training dual branch network using bilateral mixup augmentation for long-tailed visual recognition
* DC3DCD: Unsupervised learning for multiclass 3D point cloud change detection
* DCapsNet: Deep capsule network for human activity and gait recognition with smartphone sensors
* DDFusion: An efficient multi-exposure fusion network with dense pyramidal convolution and de-correlation fusion
* Deblur Capsule Networks
* Decentralized Parallel SGD Based on Weight-Balancing for Intelligent IoV
* Deceptive Jamming Algorithm against Synthetic Aperture Radar in Large Squint Angle Mode Based on Non-Linear Chirp Scaling and Low Azimuth Sampling Reconstruction
* Decoding Spontaneous Informal Spaces in Old Residential Communities: A Drone and Space Syntax Perspective
* Decoupled Multi-Task Network for Shadow Removal, A
* Decoupled Spatial-Channel Inverted Bottleneck For Image Compression, A
* Dedicated Encoding-streams Based Spatio-temporal Framework for Dynamic Person-independent Facial Expression Recognition
* Deep Active Learning Based on Saliency-Guided Data Augmentation for Image Classification
* Deep Adaptive Quadruplet Hashing With Probability Sampling for Large-Scale Image Retrieval
* Deep Bayesian Blind Color Deconvolution of Histological Images
* Deep Cascade-Learning Model via Recurrent Attention for Immunofixation Electrophoresis Image Analysis
* Deep CNN-Based Pre-Encoding Perceptual Quality Control and Prediction
* Deep Cross-Modal Hashing Based on Semantic Consistent Ranking
* Deep Cross-Modal Steganography Using Neural Representations
* Deep Efficient Continuous Manifold Learning for Time Series Modeling
* Deep intra-image contrastive learning for weakly supervised one-step person search
* Deep Learning Based Approach for Synthesizing Realistic Depth Maps, A
* Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography
* Deep Learning in the Identification of Psoriatic Skin Lesions
* Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography
* Deep Learning Reconstruction for Single Pixel Imaging with Generative Adversarial Networks
* Deep Learning-Based Anomaly Detection for Connected Autonomous Vehicles Using Spatiotemporal Information
* Deep Learning-Based Compressed Domain Point Cloud Classification
* Deep Learning-Based Local Feature Extraction Method for Improved Image Matching and Surface Reconstruction from Yutu-2 PCAM Images on the Moon, A
* Deep Learning-Based Melanoma Detection with Optimized Features via Hybrid Algorithm
* Deep Learning-Enabled Road Segmentation and Edge-Centerline Extraction from High-Resolution Remote Sensing Images
* Deep Natural Language Inference Predictor Without Language-specific Training Data, A
* Deep OC-Sort: Multi-Pedestrian Tracking by Adaptive Re-Identification
* Deep Reinforcement Clustering
* Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse
* Deep Robust Low Rank Correlation With Unifying Clustering Structure for Cross Domain Adaptation
* Deep Scene Flow Learning: From 2D Images to 3D Point Clouds
* Deep self-enhancement hashing for robust multi-label cross-modal retrieval
* Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement
* Deep Supervised Multi-View Learning With Graph Priors
* deep transfer learning framework for mapping high spatiotemporal resolution LAI, A
* Deep Unfolding Network with Physics-Based Priors for Underwater Image Enhancement
* Deep Unfolding Scheme for Grant-Free Massive-Access Vehicular Networks
* Deep Unrolling Shrinkage Network for Dynamic MR Imaging
* Deep Unsupervised Hashing with Semantic Consistency Learning
* Deep Unsupervised Reflection Removal Using Diffusion Models
* Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations
* Deep-Learning-Based Energy Aware Images
* Deep-Learning-Based Multimodal Data Fusion Framework for Urban Region Function Recognition, A
* Deep-sea image stitching: Using multi-channel fusion and improved AKAZE
* Deepfake detection via inter-frame inconsistency recomposition and enhancement
* Deepfake Face Provenance for Proactive Forensics
* Deepfakes Audio Detection Leveraging Audio Spectrogram and Convolutional Neural Networks
* DeepFM-Based Non-Parametric Model Enabled Big Data Platform for Predicting Passenger Car Sales in Sustainable Way, A
* Deeplabv3+ Ensemble for Diagnosis of Cardiac Transplant Rejection
* Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space
* Deformation Behavior and Reactivation Mechanism of the Dandu Ancient Landslide Triggered by Seasonal Rainfall: A Case Study from the East Tibetan Plateau, China
* Deformation Robust Text Spotting with Geometric Prior
* Degradation Conditioned GAN for Degradation Generalization of Face Restoration Models
* Delineation of Backfill Mining Influence Range Based on Coal Mining Subsidence Principle and Interferometric Synthetic Aperture Radar
* Denoising Point Clouds with Intensity and Spatial Features in Rainy Weather
* Dense Depth Estimation for Surgical Endoscope Robot with Multi-Baseline Depth Map Fusion
* Dense-and-Similar Object detection in aerial images
* DENSECL: Haze Mitigation Using Dense Blocks and Contrastive Loss Regularization
* Densely Connected Swin-UNet for Multiscale Information Aggregation in Medical Image Segmentation
* DenSplitnet: Classifier-invariant neural network method to detect COVID-19 in chest CT data
* dependency-based hybrid deep learning framework for target-dependent sentiment classification, A
* Depression Detection Using Deep Learning and Natural Language Processing Techniques: A Comparative Study
* Depression Recognition Using Remote Photoplethysmography From Facial Videos
* Depth Camera Face Recognition by Normalized Fractal Encodings
* Depth Estimation of Multi-Modal Scene Based on Multi-Scale Modulation
* Depth Map Estimation from Multi-View Images with NERF-Based Refinement
* DeSeal: Semantic-Aware Seal2Clear Attention for Document Seal Removal
* Design of Provably Secure Authentication Protocol for Edge-Centric Maritime Transportation System
* Design of Safety Petri Net Controllers for Deadlock Prevention at a Class of Road Intersections
* Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization
* Detect Arbitrary-Shaped Text via Adaptive Thresholding and Localization Quality Estimation
* Detecting Compromised IoT Devices Through XGBoost
* Detecting Stable Diffusion Generated Images Using Frequency Artifacts: A Case Study on Disney-Style Art
* Detecting, Analyzing, and Predicting Land Use/Land Cover (LULC) Changes in Arid Regions Using Landsat Images, CA-Markov Hybrid Model, and GIS Techniques
* Detection and Control Factor Analysis of Active Landslides in Guizhou Province, China, Using Sentinel-1 SAR Imagery, The
* Detection of Atmospheric Hydrofluorocarbon-22 with Ground-Based Remote High-Resolution Fourier Transform Spectroscopy over Hefei and an Estimation of Emissions in the Yangtze River Delta
* Detection of Covid-19 in Chest X-ray Images Using Percolation Features and Hermite Polynomial Classification
* Detection of Desert Aerosol Incorporating Coherent Doppler Wind Lidar and Rayleigh-Mie-Raman Lidar, The
* Detection Transformer with Diversified Object Queries
* Determination of Critical Edges in Air Route Network Using Modified Weighted Sum Method and Grey Relational Analysis
* Development and performance evaluation of enhanced image dehazing method using deep learning networks
* Development and Testing of an MRI-compatible Immobilization Device for Head and Neck Imaging
* Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier
* Development of a Voice Virtual Assistant for the Geospatial Data Visualization Application on the Web
* Development of Few-Shot Learning Capabilities in Artificial Neural Networks When Learning Through Self-Supervised Interaction
* Developments in Scope and Availability of HF Radar Wave Measurements and Robust Evaluation of Their Accuracy
* DF-Net: Diversity-Focused Network for Video Object Detection
* DFT-CAM: Discrete Fourier Transform Driven Class Activation Map
* DGSN: Learning how to segment pedestrians from other datasets for occluded person re-identification
* Diag-IoU Loss for Object Detection
* DIF-SR: A Differential Item Functioning-based Sample Reweighting Method
* Diffdefense: Defending Against Adversarial Attacks via Diffusion Models
* Difference between WMO Climate Normal and Climatology: Insights from a Satellite-Based Global Cloud and Radiation Climate Data Record
* Differences in the Vertical Distribution of Aerosols, Nitrogen Dioxide, and Formaldehyde between Islands and Inland Areas: A Case Study in the Yangtze River Delta of China
* Differentiable Entropy Model for Learned Image Compression, A
* Differentiable Gaussian Prototype Layer for Explainable Fruit Segmentation, A
* Differential Enhanced Siamese Segmentation Network for Printed Label Defect Detection
* DiffusionSTR: Diffusion Model for Scene Text Recognition
* Digital Staining of White Blood Cells With Confidence Estimation
* DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition
* DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization
* Discrete-Mapping-Based Cross-Component Prediction Paradigm for Screen Content Coding, A
* Discriminative features enhancement for low-altitude UAV object detection
* Discriminative projection fuzzy K-Means with adaptive neighbors
* Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis
* Disentangled generation network for enlarged license plate recognition and a unified dataset
* Display Power Modeling for Energy Consumption Control
* Distance to a River Modifies Climate Legacy on Vegetation Growth in a Boreal Riparian Forest
* Distance-based Weighted Transformer Network for image completion
* Distilling Knowledge of Bidirectional Language Model for Scene Text Recognition
* Distributed multi-target tracking and active perception with mobile camera networks
* Distribution Characteristics and Influencing Factors of Sea Ice Leads in the Weddell Sea, Antarctica
* Distributionally Robust Optimization for Reliability-Based Lane Reservation and Route Design Under Uncertainty, A
* Distributions and Direct Radiative Effects of Different Aerosol Types in North China
* Disturbance rejection with compensation on features
* Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning
* DLAHSD: Dynamic Label Adopted in Auxiliary Head for SAR Detection
* DLEN: Deep Laplacian Enhancement Networks for Low-Light Images
* DNC-Net:Dual-neighbourhood Consensus Network for Feature Matching
* Do Emotional States Influence Physiological Pain Responses?
* DOC: Text Recognition via Dual Adaptation and Clustering
* Document Binarization with Multi-Branch Gated Convolutional Generative Adversarial Networks
* Document Change Detection With Hierarchical Patch Comparison
* Dodging the Double Descent in Deep Neural Networks
* DoG Accuracy Via Equivariance: Get The Interpolation Right
* Domain Adaptation in Power Line Segmentation: A New Synthetic Dataset
* Domain Adaptation of Digital Pathology Images using Joint Stain Color and Image Quality Constraints
* Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation
* Domain Adaptive Sampling for Cross-Domain Point Cloud Recognition
* Domain Generalization Method for Person Re-Id Using Metabin and Mixstyle
* Domain Invariant Feature Learning Based on Cluster Contrastive Learning for Intelligence Fault Diagnosis With Limited Labeled Data
* Domain invariant regularization by disentangling content and style Features for visual domain generalization
* Domain-adaptive Data Synthesis for Large-scale Supermarket Product Recognition
* Domain-Generalized Face Anti-Spoofing with Unknown Attacks
* Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
* Downsampling GAN for Small Object Data Augmentation
* DP-Net: Learning Discriminative Parts for Image Recognition
* DPDM: Feature-Based Pose Refinement with Deep Pose and Deep Match for Monocular Visual Odometry
* Driver Emotion Recognition With a Hybrid Attentional Multimodal Fusion Framework
* Driving Style Feature Extraction and Recognition Based on Hyperdimensional Computing and Semi-Supervised Twin Projection Vector Machine
* DSG-PL: ROI Extraction Based on Dual Saliency Guided Progressive Learning for Weakly Labeled Remote Sensing Images
* Dual Cross-Attention for Video Object Segmentation via Uncertainty Refinement
* Dual Discriminative Low-Rank Projection Learning for Robust Image Classification
* dual fusion deep convolutional network for blind universal image denoising, A
* Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering
* Dual Regression-Enhanced Gaze Target Detection in the Wild
* Dual Structural Knowledge Interaction for Domain Adaptation
* Dual Temporal Transformers for Fine-Grained Dangerous Action Recognition
* Dual Transformer Encoder Model for Medical Image Classification
* Dual-Attention Deep Discriminative Domain Generalization Model for Hyperspectral Image Classification, A
* Dual-Channel Semi-Supervised Adversarial Network for Building Segmentation from UAV-Captured Images
* DualRC: A Dual-Resolution Learning Framework With Neighbourhood Consensus for Visual Correspondences
* DVST: Deformable Voxel Set Transformer for 3D Object Detection from Point Clouds
* Dyadic Affect in Parent-Child Multimodal Interaction: Introducing the DAMI-P2C Dataset and its Preliminary Analysis
* Dynamic attention augmented graph network for video accident anticipation
* Dynamic Contrastive Distillation for Image-Text Retrieval
* Dynamic deformable transformer for end-to-end face alignment
* Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction
* Dynamic Dual-Graph Fusion Convolutional Network for Alzheimer's Disease Diagnosis
* Dynamic Local Filters in Graph Convolutional Neural Networks
* Dynamic Point Cloud Compression Approach Using Hexahedron Segmentation
* Dynamic Range Transformer (DRT): Learning Enhanced Log-Perceptual Information with Swin-Fourier Convolution Network for HDR Imaging
* Dynamic speed harmonization for mixed traffic flow on the freeway using deep reinforcement learning
* Dynamic Unilateral Dual Learning for Text to Image Synthesis
* D^3K: Dynastic Data-Free Knowledge Distillation
* E3ID: An efficient end to end person search model
* Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review
* Early Detection of Cars Exiting Road-Side Parking
* Early Detection of Hip Periprosthetic Joint Infections Through CNN on Computed Tomography Images
* Early Diagnosis of Prostate Cancer Using Parametric Estimation of IVIM from DW-MRI
* Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach
* ECG Feature-based Classification of Induced Pain Levels
* ECLAD: Extracting Concepts with Local Aggregated Descriptors
* ECSNet: An Accelerated Real-Time Image Segmentation CNN Architecture for Pavement Crack Detection
* EDDMF: An Efficient Deep Discrepancy Measuring Framework for Full-Reference Light Field Image Quality Assessment
* Edge and Skeleton Guidance Network for Salient Object Detection in Optical Remote Sensing Images
* Edge Synthesis Block: A Building Unit for Real-Time Single Image Super Resolution
* Edge-Assisted Massive Video Delivery Over Cell-Free Massive MIMO
* Editorial on Special Issue Geo-Information Applications in Active Mobility and Health in Cities
* Editorial: Special Issue on Unobtrusive Physiological Measurement Methods for Affective Applications
* EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion
* EERCA-ViT: Enhanced Effective Region and Context-Aware Vision Transformers for image sentiment analysis
* Effective Attention-based CNN Model for Fire Detection in Adverse Weather Conditions, An
* Effective CNN-based Super Resolution Method for Video Coding, An
* Effective End-to-End Vision Language Pretraining With Semantic Visual Loss
* Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds, An
* Effects of Spatial Reference Frames, Map Dimensionality, and Navigation Modes on Spatial Orientation Efficiency
* Effects of Strong Geomagnetic Storms on the Ionosphere and Degradation of Precise Point Positioning Accuracy during the 25th Solar Cycle Rising Phase: A Case Study
* Efficient Aerial Image Object Detection with Imaging Condition Decomposition
* Efficient and Effective Nonconvex Low-Rank Subspace Clustering via SVT-Free Operators
* Efficient any-Target Backdoor Attack with Pseudo Poisoned Samples
* Efficient BP Algorithm Based on TSU-ICSI Combined with GPU Parallel Computing, An
* Efficient Brazilian Sign Language Recognition: A Study on Mobile Devices
* Efficient Construction of Voxel Models for Ore Bodies Using an Improved Winding Number Algorithm and CUDA Parallel Computing
* Efficient Convolution and Transformer-based Network for Video Frame Interpolation
* Efficient Deep Unrolling Super-Resolution Network for Lidar Automotive Scenes, An
* Efficient Deep Video Model For Deepfake Detection, An
* Efficient Detection of Forest Fire Smoke in UAV Aerial Imagery Based on an Improved Yolov5 Model and Transfer Learning
* Efficient Dynamic Correspondence Network
* Efficient Feature Reconstruction via l2,1-Norm Regularization for Few-Shot Classification
* Efficient Joint Video Denoising and Super-Resolution
* Efficient Offline/Online Heterogeneous-Aggregated Signcryption Protocol for Edge Computing-Based Internet of Vehicles
* Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant, An
* Efficient Per-Shot Transformer-Based Bitrate Ladder Prediction for Adaptive Video Streaming
* Efficient Prediction of Model Transferability in Semantic Segmentation Tasks
* Efficient Pruning Method for Learned Lossy Image Compression Models Based on Side Information
* Efficient Reliability-Based Path Planning of Off-Road Autonomous Ground Vehicles Through the Coupling of Surrogate Modeling and RRT*
* Efficient Representation Learning for Inner Speech Domain Generalization
* Efficient Resource Allocation for Multimedia Streaming in Software-Defined Internet of Vehicles
* Efficient Single Image De-Raining Model With Decoupled Deep Networks, An
* Efficient Transfer by Robust Label Selection and Learning with Pseudo-Labels
* Efficient Vehicle-Assisted Aggregate Authentication Scheme for Infrastructure-Less Vehicular Networks, An
* Efficient Visual Tracking Based on Fuzzy Inference for Intelligent Transportation Systems
* Efficient-HDRTV: Efficient SDR to HDR Conversion for HDR TV
* EgoFish3D: Egocentric 3D Pose Estimation From a Fisheye Camera via Self-Supervised Learning
* EGRC-Net: Embedding-Induced Graph Refinement Clustering Network
* Elastic Strategy-Based Adaptive Genetic Algorithm for Solving Dynamic Vehicle Routing Problem With Time Windows
* ELEGAN: An Efficient Low Light Enhancement GAN for Unpaired Supervision
* Elliptic Energy Loss for Rotated Object Detection in Aerial Images, The
* Embil: An English-manipuri Bi-lingual Benchmark for Scene Text Detection and Language Identification
* Emission Analysis of Electric Motorcycles and Assessment of Emission Reduction With Fleet Electrification
* Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users
* Emotion Expression in Human Body Posture and Movement: A Survey on Intelligible Motion Factors, Quantification and Validation
* Emotional Contagion-Aware Deep Reinforcement Learning for Antagonistic Crowd Simulation
* Emotional Expressivity is a Reliable Signal of Surprise
* Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunities
* Empirical Study of Attention-based Models for Automatic Classification of Gastrointestinal Endoscopy Images
* Empowering Domain Experts With Formal Methods for Consistency Verification of Safety Requirements
* Enabling High-Resolution Pose Estimation in Real Time Using Active Perception
* Enabling Safe ITS: EEG-Based Microsleep Detection in VANETs
* Enabling the Encoder-Empowered GAN-based Video Generators for Long Video Generation
* Encoder Complexity Control in SVT-AV1 by Speed-Adaptive Preset Switching
* encoder-decoder framework with dynamic convolution for weakly supervised instance segmentation, An
* Encoding-Aware Deep Video Super-Resolution Framework
* End to End Generative Meta Curriculum Learning for Medical Data Augmentation
* End-to-end Asbestos Roof Detection on Orthophotos Using Transformer-based Yolo Deep Neural Network
* End-to-end Deep Learning Approach for Video Captioning Through Mobile Devices, An
* End-to-End Learned Light Field Image Rescaling Using Joint Spatial-Angular and Epipolar Information
* End-to-End Trainable Weakly Non-Negative Factorization
* End-to-End Video Gaze Estimation via Capturing Head-Face-Eye Spatial-Temporal Interaction Context
* End-to-end wavelet block feature purification network for efficient and effective UAV object tracking
* Endoscopic Feature Enhancement for Stomach 3D Reconstruction without Dyeing
* Energy Efficiency Optimization in LoRa Networks: A Deep Learning Approach
* Energy Management Method of a Hybrid Energy Storage System Combined With the Transportation-Electricity Coupling Characteristics of Ports
* Enhanced Digital Halftoning via Weighted Sigma-Delta Modulation
* Enhanced Neuron Attribution-Based Attack Via Pixel Dropping, An
* Enhanced Quantified Local Implicit Neural Representation for Image Compression
* Enhanced Temporal Motion Derivation Beyond VVC
* Enhanced U-Transformer Networks for Automatic Pulmonary Vessel Segmentation in CT Images
* Enhancing Crop Classification Accuracy through Synthetic SAR-Optical Data Generation Using Deep Learning
* Enhancing Hierarchical Vector Quantized Autoencoders for Image Synthesis Through Multiple Decoders
* Enhancing Leaf Area Index Estimation with MODIS BRDF Data by Optimizing Directional Observations and Integrating PROSAIL and Ross–Li Models
* Enhancing Low-Light Images Using Infrared Encoded Images
* Enhancing Next Active Object-Based Egocentric Action Anticipation with Guided Attention
* Enhancing Object Detection in Maritime Environments Using Metadata
* Enhancing Open-vocabulary Semantic Segmentation with Prototype Retrieval
* Enhancing Path Planning Efficiency for Underwater Gravity Matching Navigation with a Novel Three-Dimensional Along-Path Obstacle Profiling Algorithm
* Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach
* Enhancing Style-Guided Image-to-Image Translation via Self-Supervised Metric Learning
* Enhancing Targeted Transferability Via Suppressing High-Confidence Labels
* Enroll-to-Verify Approach for Cross-Task Unseen Emotion Class Recognition, An
* Ensemble Deep Learning for Sustainable Multimodal UAV Classification
* Ensemble learning-based method for maritime background subtraction in open sea environments
* Epidemic Spreading in Metapopulation Networks Coupled With Awareness Propagation
* Epigraphically-Relaxed Linearly-Involved Generalized Moreau-Enhanced Model for Layered Mixed Norm Regularization
* Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging
* ERCA*: A New Approach for the Resource Constrained Shortest Path Problem
* ERF-RTMDet: An Improved Small Object Detection Method in Remote Sensing Images
* Error Concealment for Scalable Video Coding Based on Deformable Convolution Network
* Estimated Depth Based Progressive Interactive Framework for RGB Salient Object Detection in Images
* Estimating the Observation Area of a Stripmap SAR via an ISAR Image Sequence
* Estimating the Surface Fuel Load of the Plant Physiognomy of the Cerrado Grassland Using Landsat 8 OLI Products
* Estimating the Uncertainty in Emotion Class Labels With Utterance-Specific Dirichlet Priors
* Estimation and Evaluation of Zenith Tropospheric Delay from Single and Multiple GNSS Observations
* Estimation of grain protein content in commercial bread and durum wheat fields via traits inverted by radiative transfer modelling from Sentinel-2 timeseries
* Estimation of Macroscopic Fundamental Diagram Solely From Probe Vehicle Trajectories With an Unknown Penetration Rate
* Estimation of the Water Level in the Ili River from Sentinel-2 Optical Data Using Ensemble Machine Learning
* Evaluating efficiency of railway transportation based on cross-efficiency evaluation method and relative entropy evaluation method in China
* Evaluating Feature Selection Methods and Machine Learning Algorithms for Mapping Mangrove Forests Using Optical and Synthetic Aperture Radar Data
* Evaluating the Impact of Time-to-Collision Constraint and Head Gaze on Usability for Robot Navigation in a Corridor
* Evaluating the Performance of Geographic Object-Based Image Analysis in Mapping Archaeological Landscapes Previously Occupied by Farming Communities: A Case of Shashi-Limpopo Confluence Area
* Evaluation and Spatiotemporal Differentiation of Cultural Tourism Development Potential: The Case of the Middle and Lower Reaches of the Yellow River
* Evaluation of 3d Reconstruction Pipelines Under Varying Imaging Conditions
* Evaluation of a Visual Question Answering Architecture for Pedestrian Attribute Recognition
* Evaluation of FY-3E Hyperspectral Infrared Atmospheric Sounder-II Long-Wave Temperature Sounding Channels, The
* Evaluation of Original and Water Stress-Incorporated Modified Weather Research and Forecasting Vegetation Photosynthesis and Respiration Model in Simulating CO2 Flux and Concentration Variability over the Tibetan Plateau
* Evaluation of the Resilience of the Catering Industry in Hong Kong before and after the COVID-19 Outbreak Based on Point-of-Interest Data
* Evaluation of the SAIL Radiative Transfer Model for Simulating Canopy Reflectance of Row Crop Canopies
* Evaluation of Tropopause Height from Sentinel-6 GNSS Radio Occultation Using Different Methods
* Event Data Stream Compression Based on Point Cloud Representation
* Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising
* Event-Triggered Integral Formation Controller for Networked Nonholonomic Mobile Robots: Theory and Experiment
* Event-Triggered Robust Path Tracking Control Considering Roll Stability Under Network-Induced Delays for Autonomous Vehicles
* Exact Rényi and Kullback-Leibler Divergences Between Multivariate t-Distributions
* Exchange means change: An unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange
* Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning
* Explainability-enhanced Neural Network for Thoracic Diagnosis Improvement
* Explainable and Generalizable Blind Image Quality Assessment via Semantic Attribute Reasoning
* Explainable Deep Learning Methods in Medical Image Classification: A Survey
* Explainable few-shot learning with visual explanations on a low resource pneumonia dataset
* Explaining Semantic Text Similarity in Knowledge Graphs
* Explaining StyleGAN Synthesized Swimmer Images in Low-dimensional Space
* Exploiting EXIF Data to Improve Image Classification Using Convolutional Neural Networks
* Exploiting recollection effects for memory-based video object segmentation
* Exploiting sublimated deep features for image retrieval
* Exploring Action Centers for Temporal Action Localization
* Exploring Anatomical Similarity in Cardiac-Gated SPECT Images for A Deep Learning Network
* Exploring Audio Compression as Image Completion in Time-frequency Domain
* Exploring Diffusion Models for Unsupervised Video Anomaly Detection
* Exploring Effective Knowledge Distillation for Tiny Object Detection
* Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding
* Exploring Self-Supervised Representation Learning for Low-Resource Medical Image Analysis
* Exploring the Connection Between Neuron Coverage and Adversarial Robustness in DNN Classifiers
* Exploring the Function of Expressions in Negotiation: The DyNego-WOZ Corpus
* Exploring the Spatial Relationship between Street Crime Events and the Distribution of Urban Greenspace: The Case of Porto, Portugal
* Exploring the Topics of Audio Words for Detecting Alzheimer's Disease From Spontaneous Speech
* Exposing Deepfake Face Forgeries With Guided Residuals
* Exposing fake images generated by text-to-image diffusion models
* External knowledge-assisted Transformer for image captioning
* Extracting Citrus in Southern China (Guangxi Region) Based on the Improved DeepLabV3+ Network
* Extraction of Roof Feature Lines Based on Geometric Constraints from Airborne LiDAR Data
* Extrinsic Calibration of Multiple Depth Cameras for 3d Face Reconstruction
* F-SCP: An automatic prompt generation method for specific classes based on visual language pre-training models
* Face and body-shape integration model for cloth-changing person re-identification
* Face Image Quality Estimation on Presentation Attack Detection
* Face Photo-Sketch Synthesis Via Domain-Invariant Feature Embedding
* Facet-Level Segmentation of 3d Textures on Cultural Heritage Objects
* Facial Expression Recognition Using Light Field Cameras: A Comparative Study of Deep Learning Architectures
* Facial Point Graphs for Stroke Identification
* Fair and Scalable Electric Vehicle Charging Under Electrical Grid Constraints
* Fairness in face presentation attack detection
* Fake Colorized Image Detection Approaches: A Review
* Fall Detection with Event-based Data: A Case Study
* False Correspondence Removal via Revisiting Semantic Context with Position-Attentive Learning
* FAMM: Facial Muscle Motions for Detecting Compressed Deepfake Videos Over Social Networks
* Fast Context Adaptation for Video Object Segmentation
* Fast Detection of Moving Targets by Refocusing in GBSAR Imagery Based on Enlightend Search
* Fast Learning-Based Split Type Prediction Algorithm for VVC
* Fast Method for Robust Video Watermarking Based on Zernike Moments, A
* Fast Optimal Transport for Latent Domain Adaptation
* Fast QTMT Partition for VVC Intra Coding Using U-Net Framework
* Fast Self-Guided Multi-View Subspace Clustering
* Fast SwT-Based Deep Steganalysis Network for Arbitrary-Sized Images
* Fast Video Instance Segmentation via Recurrent Encoder-based Transformers
* Fast, Memory-efficient Spectral Clustering with Cosine Similarity
* Fast-Convergent Federated Learning via Cyclic Aggregation
* Fat: Field-Aware Transformer for 3D Point Cloud Semantic Segmentation
* FCOSR: A Simple Anchor-Free Rotated Detector for Aerial Object Detection
* Fead-d: Facial Expression Analysis in Deepfake Detection
* Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving
* Feature Adversarial Distillation for Point Cloud Classification
* Feature Enhancement and Fusion for RGB-T Salient Object Detection
* Feature Fusion Enhanced Super Resolution for Low Bitrate Screen Content Compression
* Feature fusion method based on spiking neural convolutional network for edge detection
* Feature Importance for Clustering
* Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction
* Feature learning based on connectivity estimation for unbiased mammography mass classification
* Feature matching of remote-sensing images based on bilateral local-global structure consistency
* Feature perturbation augmentation for reliable evaluation of importance estimators in neural networks
* Feature Refinement Module for Light-Weight Semantic Segmentation Network, A
* Feature Space Data Augmentation for Viewpoint-Robust Action Recognition in Videos
* Feature specific progressive improvement for salient object detection
* Feature Structure Similarity Index for Hybrid Human and Machine Vision
* Feature-Aware Prohibited Items Detection for X-Ray Images
* Feature-Domain Proximal High-Dimensional Gradient Descent Network for Image Compressed Sensing
* FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis
* Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis
* FedLive: A Federated Transmission Framework for Panoramic Livecast With Reinforced Variational Inference
* FEDMBP: Multi-Branch Prototype Federated Learning on Heterogeneous Data
* Fermouth: Facial Emotion Recognition from the Mouth Region
* Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction
* Few-Shot Hyperspectral Image Classification Based on Cross-Domain Spectral Semantic Relation Transformer
* Few-Shot Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad Learning System
* Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
* Few-shot learning via weighted prototypes from graph structure
* few-shot learning-based ischemic stroke segmentation system using weighted MRI fusion, A
* Few-Shot Lip-Password Based Speaker Verification
* Few-Shot Speaker Identification Using Lightweight Prototypical Network With Feature Grouping and Interaction
* FGC-VC: Flow-Guided Context Video Compression
* FGCVQA: Fine-Grained Cross-Attention for Medical VQA
* Fibonet: A Light-weight and Efficient Neural Network for Image Segmentation
* Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels
* Film Grain Removal Using Metadata
* Filter Clustering for Compressing CNN Model With Better Feature Diversity
* Filtering in Triplet Markov Chain Model in the Presence of Non-Gaussian Noise with Application to Target Tracking
* Filtering Safe Temporal Motifs in Dynamic Graphs for Dissemination Purposes
* Finalization of VVenC's Screen Content Detector and Two-Pass Rate Control Using Pre-Filtering Statistics
* Finding Camouflaged Object Guided by Contour and Attention
* Finding Paths With Least Expected Time in Stochastic Time-Varying Networks Considering Uncertainty of Prediction Information
* Finding the Right Moment: Human-Assisted Trailer Creation via Task Composition
* Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis
* Fine-Grained Simulation Study on the Incidence Rate of Dysentery in Chongqing, China, A
* Fine-Grained Visual Classification via Internal Ensemble Learning Transformer
* Fine-to-Coarse Object Classification of Very Large Images
* FINNCH: Cooperative Pursuit Navigation for a Pursuer Team to Capture a Single Evader in Urban Environments
* First Comprehensive Dataset with Multiple Distortion Types for Visual Just-Noticeable Differences, The
* First-Person Video Domain Adaptation With Multi-Scene Cross-Site Datasets and Attention-Based Methods
* Fisheye Multiple Object Tracking by Learning Distortions Without Dewarping
* Flash Compensated Low-Light Enhancement Via Hierarchical Network Prediction
* Flash Flood Hazard Assessment along the Red Sea Coast Using Remote Sensing and GIS Techniques
* Flow-Based One-Class Anomaly Detection with Multi-Frequency Feature Fusion
* Flow-Guided Deformable Attention Network for Fast Online Video Super-Resolution
* Flow-Guided Transformer for Video Colorization
* FM-3DFR: Facial Manipulation-Based 3-D Face Reconstruction
* FNRegion: A fast NAM-based region extraction algorithm
* Focal Distillation From High-Resolution Data to Low-Resolution Data for 3D Object Detection
* Focus and Align: Learning Tube Tokens for Video-Language Pre-Training
* Food Image Classification: The Benefit of In-domain Transfer Learning
* Forecasting the Propagation from Meteorological to Hydrological and Agricultural Drought in the Huaihe River Basin with Machine Learning Methods
* Forest Height Inversion by Combining Single-Baseline TanDEM-X InSAR Data with External DTM Data
* Forest Loss Related to Brazil Nut Production in Non-Timber Forest Product Concessions in a Micro-Watershed in the Peruvian Amazon
* Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality Assessment
* Formal Approach to Design and Security Verification of Operating Systems for Intelligent Transportation Systems Based on Object Model, A
* Forward Diffusion Guided Reconstruction as a Multi-Modal Multi-Task Learning Scheme
* Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation
* Fourier Series and Laplacian Noise-Based Quantization Error Compensation for End-to-End Learning-Based Image Compression
* FPGA-Accelerated HEVC Encoder for Energy-Efficient Multi-Access Edge Computing
* FrankenMask: Manipulating semantic masks with transformers for face parts editing
* Frequency Agile Anti-Interference Technology Based on Reinforcement Learning Using Long Short-Term Memory and Multi-Layer Historical Information Observation
* Frequency Disentangled Features in Neural Image Compression
* Frequency Enhancement Network for Efficient Compressed Video Action Recognition
* Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression
* Frequent Pattern Mining in Continuous-Time Temporal Networks
* From Feline Classification to Skills Evaluation: A Multitask Learning Framework for Evaluating Micro Suturing Neurosurgical Skills
* From Front to Rear: 3D Semantic Scene Completion Through Planar Convolution and Attention-Based Network
* Frustration Recognition Using Spatio Temporal Data: A Novel Dataset and GCN Model to Recognize In-Vehicle Frustration
* Fuel-Efficient Switching Control for Platooning Systems With Deep Reinforcement Learning
* FuF-Det: An Early Forest Fire Detection Method under Fog
* Full-Scene Defocus Blur Detection With DeFBD+ via Multi-Level Distillation Learning
* Full-Season Crop Phenology Monitoring Using Two-Dimensional Normalized Difference Pairs
* Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation
* Fully Automatic Cervical Vertebrae Segmentation Via Enhanced U2-Net
* Function2vec: A Geographic Knowledge Graph Model of Urban Function Evolution and Its Application
* Functional Knowledge Transfer with Self-supervised Representation Learning
* FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation
* Fusing Ascending and Descending Time-Series SAR Images with Dual-Polarized Pixel Attention UNet for Landslide Recognition
* Fusing Explicit and Implicit Flow for Optical Flow Estimation
* FusionCalib: Automatic extrinsic parameters calibration based on road plane reconstruction for roadside integrated radar camera fusion sensors
* Fuzzy Logic Visual Network (FLVN): A Neuro-symbolic Approach for Visual Features Matching
* Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction
* FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation
* Gait feature learning via spatio-temporal two-branch networks
* GAITMM: Multi-Granularity Motion Sequence Learning for Gait Recognition
* GCK-Maps: A Scene Unbiased Representation for Efficient Human Action Recognition
* general elevating framework for label noise filters, A
* Generalizable and efficient cross-domain person re-identification model using deep metric learning
* Generalizable Embeddings with Cross-Batch Metric Learning
* Generalized black hole clustering algorithm
* Generalized Fake Image Detection Method Based on Gated Hierarchical Multi-Task Learning
* Generalized Median Computation for Consensus Learning: A Brief Survey
* Generalized Pseudo-Labeling in Consistency Regularization for Semi-Supervised Learning
* Generalizing Graph Neural Networks on Out-of-Distribution Graphs
* Generative Adversarial Networks: A Survey on Attack and Defense Perspective
* Generative Data Free Model Quantization With Knowledge Matching for Classification
* Genetic Algorithm-Based Adaptive Wiener Gain for Speech Enhancement Using an Iterative Posterior NMF
* Genetic-Algorithm-Assisted Self-Scheduled Multidelay PIR Control: Experiments in a Car-Like Vehicle System
* Geo-Referencing and Analysis of Entities Extracted from Old Drawings and Photos Using Computer Vision and Deep Learning Algorithms
* Geo-Visualization of Spatial Occupancy on Smart Campus Using Wi-Fi Connection Log Data
* Geometric Knowledge Oriented Single-Frame 2D-to-3D Human Absolute Pose Estimation Method, A
* Geometric Magnification-based Attention Graph Convolutional Network for Skeleton-based Micro-Gesture Recognition
* Geometric Prior-Assisted Feature Presentation Enhancement for Object Detection in Aerial Images
* Geometric-inspired graph-based Incomplete Multi-view Clustering
* Geometry-Aware Network for Unsupervised Learning of Monocular Camera's Ego-Motion
* Geometry-Aware Video Quality Assessment for Dynamic Digital Human
* GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold
* GIS-Based Damage Evaluation Method for Explosives Road Transportation Accidents, A
* Global Balanced Networks for Multi-View Stereo
* Global-Local Awareness Network for Image Super-Resolution
* Global-Local Contrastive Learning Framework for Video Captioning, A
* GLR: Gradient-based Learning Rate Scheduler
* GMML is All You Need
* GNP Attack: Transferable Adversarial Examples Via Gradient Norm Penalty
* GPCGC: A Green Point Cloud Geometry Coding Method
* Grad-FEC: Unequal Loss Protection of Deep Features in Collaborative Intelligence
* Graph Embedding of Almost Constant Large Graphs
* Graph Neural Networks With Triple Attention for Few-Shot Learning
* Graph-Based Facial Affect Analysis: A Review
* Graph-based Feature Learning from Image Markers
* Graphrpe: Relative Position Encoding Graph Transformer for 3d Human Pose Estimation
* Grassland Chlorophyll Content Estimation from Drone Hyperspectral Images Combined with Fractional-Order Derivative
* Grid-Based Gradient Descent Extended Target Clustering Method and Ship Target Inverse Synthetic Aperture Radar Imaging for UHF Radar, A
* Grid-Transformer for Few-Shot Hyperspectral Image Classification
* Group Activity Representation Learning With Long-Short States Predictive Transformer
* Group Synchrony for Emotion Recognition Using Physiological Signals
* GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification
* Guided Sampling by Neighborhood Information and Matching Scores for Multi-Structure Data
* H-CapsNet: A capsule network for hierarchical image classification
* HairManip: High quality hair manipulation via hair element disentangling
* Half of an Image is Enough for Quality Assessment
* Hand Gesture Recognition Exploiting Handcrafted Features and LSTM
* Hands in Focus: Sign Language Recognition Via Top-Down Attention
* Hands, Objects, Action! Egocentric 2d Hand-based Action Recognition
* Hard Samples Based Margin Loss for Face Verification
* Hashing for Structure-based Anomaly Detection
* HDR-LMDA: A Local Area-Based Mixed Data Augmentation Method for HDR Video Reconstruction
* HDTC: Hybrid Model of Dual-Transformer and Convolutional Neural Network from RGB-D for Detection of Lettuce Growth Traits
* Head/Tail Breaks-Based Approach to Characterizing Space-Time Risks of COVID-19 Epidemic in China's Cities, A
* Hedging risks in the C-ITS road-side unit investment case for Flanders: A real options approach
* HER2-Sish Histopathology Image Classification Using Deep Neural Networks
* Hero: A Multi-modal Approach on Mobile Devices for Visual-aware Conversational Assistance in Industrial Domains
* Heterogeneous Image Change Detection Based on Deep Image Translation and Feature Refinement-Aggregation
* Heterogeneous Reinforcement Learning Network for Aspect-Based Sentiment Classification With External Knowledge
* HFENet: Hybrid Feature Enhancement Network for Detecting Texts in Scenes and Traffic Panels
* HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval
* HI-RES ACG: Towards High-Resolution Anime Characters Generation
* Hierarchical Arithmetic Coding of Displacements for Dynamic Mesh Compression
* Hierarchical Clustering Based on Dendrogram in Sustainable Transportation Systems
* Hierarchical Conditional Semi-Paired Image-to-Image Translation for Multi-Task Image Defect Correction on Shopping Websites
* Hierarchical Detailed Intermediate Supervision for Image-to-Image Translation
* Hierarchical Feature Fusion Transformer for No-Reference Image Quality Assessment
* Hierarchical Graph Convolutional Networks for Action Quality Assessment
* Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification, A
* hierarchical multi-modal cross-attention model for face anti-spoofing, A
* Hierarchical Multi-task Learning via Task Affinity Groupings
* Hierarchical Optimization of Speed Planning and Energy Management for Connected Hybrid Electric Vehicles Under Multi-Lane and Signal Lights Aware Scenarios
* Hierarchical Pretrained Backbone Vision Transformer for Image Classification in Histopathology
* Hierarchical Terrain Attention and Multi-Scale Rainfall Guidance for Flood Image Prediction
* High Dynamic Range Image Tone Mapping Based on Layer Decomposition and Image Fusion
* High Dynamic Range Imaging with Multi-Exposure Binning on Quad Bayer Color Filter Array
* High-Accuracy Gesture Recognition using Mm-Wave Radar Based on Convolutional Block Attention Module
* High-Precision Motion Vector Refinement for Bi-Directional Optical Flow
* High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis, A
* High-Resolution PM2.5 Concentrations Estimation Based on Stacked Ensemble Learning Model Using Multi-Source Satellite TOA Data
* High-speed optical 3D measurement device for quality control of aircraft rivet
* High-Temporal-Resolution Prediction of Malaria Transmission Risk in South Kivu, Democratic Republic of the Congo, Based on Multi-Criteria Evaluation Using Geospatial Data
* High-Throughput and Multiplierless Hardware Design for the AV1 Local Warped MC Interpolation
* Highly Crowd Detection and Counting Based on Curriculum Learning
* Hinting Pipeline and Multivariate Regression CNN for Maize Kernel Counting on the Ear
* Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia
* History Based Incremental Singular Value Decomposition for Background Initialization and Foreground Segmentation
* HM-PCGC: A Human-Machine Balanced Point Cloud Geometry Compression Scheme
* HMPD: A Novel Dataset for Microplastics Classification with Digital Holography
* HOKEM: Human and Object Keypoint-Based Extension Module for Human-Object Interaction Detection
* Hole Inpainting Algorithm for Half-Organized Point Cloud Obtained by Structured-Light Section System
* How to Turn Your Camera into a Perfect Pinhole Model
* HQRetouch: Learning Professional Face Retouching Via Masked Feature Fusion and Semantic-Aware Modulation
* HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation
* HSV-3S and 2D-GDA for High-Saturation Low-Light Image Enhancement in Night Traffic Monitoring
* Human-in-the-Loop Optimization of Wearable Robotic Devices to Improve Human-Robot Interaction: A Systematic Review
* Human-interpretable and deep features for image privacy classification
* Human-Robot Interaction Video Sequencing Task (HRIVST) for Robot's Behavior Legibility
* HY-LSTM: A new time series deep learning architecture for estimation of pedestrian time to cross in advanced driver assistance system
* Hybrid Contrastive Prototypical Network for Few-Shot Scene Classification
* Hybrid Motion Representation Learning for Prediction From Raw Sensor Data
* Hybrid railway vehicle trajectory optimisation using a non-convex function and evolutionary hybrid forecast algorithm
* Hybrid Regularizations for Multi-Aspect Category Sentiment Analysis
* Hybrid-MVS: Robust Multi-View Reconstruction With Hybrid Optimization of Visual and Depth Cues
* Hyperspectral Image Classification Network Based on 3D Octave Convolution and Multiscale Depthwise Separable Convolution
* Hyperspectral Image Classification Promotion Using Dynamic Convolution Based on Structural Re-Parameterization
* HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-Shot Action Recognition
* I3N: Intra- and Inter-Representation Interaction Network for Change Captioning
* ICCL: Self-Supervised Intra- and Cross-Modal Contrastive Learning with 2D-3D Pairs for 3D Scene Understanding
* Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images
* ICN Based Efficient Content Caching Scheme for Vehicular Networks
* Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks
* Identification of personality traits from handwritten text documents using multi-label classification models
* Identifying Spatiotemporal Patterns of Multiscale Connectivity in the Flow Space of Urban Agglomeration in the Yellow River Basin
* IFF: A Superresolution Algorithm for Multiple Measurements
* IFGLT: Information fusion guided lightweight Transformer for image denoising
* IIDS: Intelligent Intrusion Detection System for Sustainable Development in Autonomous Vehicles
* IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification
* Image Aesthetics Assessment with Attribute-Assisted Multimodal Memory Network
* Image Coding Via Perceptually Inspired Graph Learning
* Image Dehazing Guided by Low-Pass Reinforced Airlight
* Image Inpainting by Mscswin Transformer Adversarial Autoencoder
* Image Inpainting with Information Loss Reduction and Texture-Structure Feature Fusion
* Image Manipulation Localization Using Multi-Scale Feature Fusion and Adaptive Edge Supervision
* Image Retrieval in Semiconductor Manufacturing
* Image Steganoganalyzer With Comprehensive Detection Performance, An
* Image Stitching Based on Multi-Scale Meshes
* Image Synthesis and Modified BlendMask Instance Segmentation for Automated Nanoparticle Phenotyping
* Image tone mapping based on clustering and human visual system models
* Image Translation-Based Deniable Encryption against Model Extraction Attack
* Image-Coupled Volume Propagation for Stereo Matching
* Imbalance-Aware Adaptive Margin Loss for Fair Multi-Label Face Attribute Recognition
* Impact of Black Edge Artifact on QoE of the FOV-Based Cloud VR Services, The
* Impact of Side-Scan Sonar Resolution and Acoustic Shadow Phenomenon on the Quality of Sonar Imagery and Data Interpretation Capabilities, The
* Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network
* Impacts of Land Use/Land Cover Distributions on Permafrost Simulations on Tibetan Plateau
* Impacts of Urban Morphology on Seasonal Land Surface Temperatures: Comparing Grid- and Block-Based Approaches
* Implementation of Image Denoising based on Backward Stochastic Differential Equations
* Implementing a Dual-Spectrometer Approach for Improved Surface Reflectance Estimation
* Implicit Attention-Based Cross-Modal Collaborative Learning for Action Recognition
* Implicit space pose consistent transfer network for deep face verification
* Imposing Total Variation Prior Into Guided Filter
* Improve Unsupervised Deep Hashing Via Masked Contrastive Learning
* Improved Bilinear Pooling for Real-time Pose Event Camera Relocalisation
* Improved Mapping of Regional Forest Heights by Combining Denoise and LightGBM Method
* Improved Power Management Under Uncertain Driving Conditions for Plug-In Hybrid Electric Vehicles via Intelligent Controller
* Improved Upper Bound on the Rate-Distortion Function of Images, An
* Improvement of Differential-GNSS Positioning by Estimating Code Double-Difference-Error Using Machine Learning
* Improvement of Image Segmentation Model for Handwritten Notebook Analytics
* Improving Adversarial Transferability Via Feature Translation
* Improving CNN-based Person Re-identification using score Normalization
* Improving defocus blur detection via adaptive supervision prior-tokens
* Improving Generalization in Facial Manipulation Detection Using Image Noise Residuals and Temporal Features
* Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation
* Improving Learned Invertible Coding with Invertible Attention and Back-Projection
* Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage
* Improving metric-based few-shot learning with dynamically scaled softmax loss
* Improving NERF with Height Data for Utilization of GIS Data
* Improving Pest Detection via Transfer Learning
* Improving Robustness of Single Image Super-Resolution Models with Monte Carlo Method
* Improving Spherical Image Resampling Through Viewport-Adaptivity
* Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity
* Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding
* Incentive Mechanism of Incorporating Supervision Game for Federated Learning in Autonomous Driving, An
* Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data
* InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement
* Individual tooth segmentation in human teeth images using pseudo edge-region obtained by deep neural networks
* Indoor Camera Pose Estimation From Room Layouts and Image Outer Corners
* Inductive Graph Neural Networks for Moving Object Segmentation
* Infer unseen from seen: Relation regularized zero-shot visual dialog
* Inference Acceleration of Deep Learning Classifiers Based on RNN
* Influences of Satellite Sensor and Scale on Derivation of Ecosystem Functional Types and Diversity
* Infrared and Visible Image Fusion via Interactive Compensatory Attention Adversarial Learning
* Infrared Small Target Detection Based on Saliency Guided Multi-Task Learning
* Infrastructure-Enabled GPS Spoofing Detection and Correction
* Infrastructure-related challenges in implementing connected and automated vehicles on urban roads: Insights from experts and stakeholders
* Insights into Very Early Afterslip Associated with the 2021 M 8.2 Chignik, Alaska Earthquake Using Subdaily GNSS Solutions
* Integer Quantized Learned Image Compression
* Integrated Approach for 3D Solar Potential Assessment at the City Scale, An
* Integrating Earth Observation with Stream Health and Agricultural Activity
* Integrating Model Predictive Control With Federated Reinforcement Learning for Decentralized Energy Management of Fuel Cell Vehicles
* Intelligent and Fair IoV Charging Service Based on Blockchain With Cross-Area Consensus
* Intelligent Detection and Segmentation of Space-Borne SAR Radio Frequency Interference
* Intelligent Painter: Picture Composition with Resampling Diffusion Model
* Intelligent Segmentation and Change Detection of Dams Based on UAV Remote Sensing Images
* Intelligent Trajectory Tracking and Formation Control of Underactuated Autonomous Underwater Vehicles: A Critical Review
* Inter-Frame Coding for Dynamic Meshes Via Temporally-Consistent Re-Meshing
* Inter-Intra Modal Representation Augmentation With DCT-Transformer Adversarial Network for Image-Text Matching
* Inter-Observer Consistent Deep Adversarial Training for Visual Scanpath Prediction, An
* Inter-Scale Sure-Let Image Restoration with Deep Unrolled Image Prior
* Interaction of Cognitive and Affective Load Within a Virtual City
* Interaction Transformer for Human Reaction Generation
* Interactive Change-Aware Transformer Network for Remote Sensing Image Change Captioning
* Interactive Segmentation with Incremental Watershed Cuts
* Intercomparison of Landsat OLI and JPSS VIIRS Using a Combination of RadCalNet Sites as a Common Reference
* Internet in the Middle of Nowhere: Performance of Geoportals in Rural Areas According to Core Web Vitals
* Interpolation Kernel Machines: Reducing Multiclass to Binary
* Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning
* Interpretable Neural Networks for Video Separation: Deep Unfolding RPCA With Foreground Masking
* Interpretable Unsupervised Unrolling Network for Hyperspectral Pansharpening, An
* Interpretable Visual Question Answering Referring to Outside Knowledge
* Interpretable Visual Question Answering Via Reasoning Supervision
* Interpreting Convolutional Neural Networks by Explaining Their Predictions
* Interpreting Latent Representation in Neural Radiance Fields for Manipulating Object Semantics
* InterREC: An Interpretable Method for Referring Expression Comprehension
* Intra-Class Adaptive Augmentation With Neighbor Correction for Deep Metric Learning
* Introducing A Framework for Single-Human Tracking Using Event-Based Cameras
* Introduction to the Special Issue on Sustainable Solutions for the Intelligent Transportation Systems
* Introspective perception for mobile robots
* investigation into automated age estimation using sclera images: a novel modality, An
* Investigation on the Utilization of Millimeter-Wave Radars for Ocean Wave Monitoring
* IPVNet: Learning implicit point-voxel features for open-surface 3D reconstruction
* IR-Guided Energy Optimization Framework for Depth Enhancement in Time of Flight Imaging
* Is Spectral Unmixing Model or Nonlinear Statistical Model More Suitable for Shrub Coverage Estimation in Shrub-Encroached Grasslands Based on Earth Observation Data? A Case Study in Xilingol Grassland, China
* ISHS-Net: Single-View 3D Reconstruction by Fusing Features of Image and Shape Hierarchical Structures
* It Wasn't Me: Irregular Identity in Deepfake Videos
* ITER: Image-to-Pixel Representation for Weakly Supervised HSI Classification
* Jackknife-Inspired Deep Learning Approach to Subject-Independent Classification of EEG, A
* Jam Propagation Analysis With Mesoscopic Traffic Simulation
* JDT-NAS: Designing Efficient Multi-Object Tracking Architectures for Non-GPU Computers
* Joint Demosaicing and Denoising with Gradient Guidance in Quad Bayer CFA
* Joint Design of Channel Estimation and Flocking Control for Multi-AUV-Based Maritime Transportation Systems
* Joint discriminative representation learning for end-to-end person search
* Joint Feature Generation and Open-set Prototype Learning for generalized zero-shot open-set classification
* Joint Image and Feature Levels Disentanglement for Generalizable Vehicle Re-identification
* Joint Learning of Fully Connected Network Models in Lifting Based Image Coders
* Joint Learning of Image Deblurring and Depth Estimation Through Adversarial Multi-Task Network
* Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement, A
* Joint Optimized Point Cloud Compression for 3d Object Detection
* Joint Probability Distribution Regression for Image Cropping
* Joint representation learning for text and 3D point cloud
* Joint Resource Scheduling for UAV-Enabled Mobile Edge Computing System in Internet of Vehicles
* Joint Security and Resources Allocation Scheme Design in Edge Intelligence Enabled CBTCs: A Two-Level Game Theoretic Approach
* Joint Semantic-Instance Segmentation Method for Intelligent Transportation System
* Joint Shared-and-Specific Information for Deep Multi-View Clustering
* Joint Under-Sampling Pattern Optimization and Content-Based Reconstruction Network for Fast MRI Reconstruction
* JoyPose: Jointly learning evolutionary data augmentation and anatomy-aware global-local representation for 3D human pose estimation
* JPEG Compliant Compression for DNN Vision
* JPEG image encryption with grouping coefficients based on entropy coding
* JPEG Information Regularized Deep Image Prior for Denoising
* JPEG Pleno Learning-Based Point Cloud Coding: A Performance Analysis
* JPEG Pleno Light Field Encoder with Mesh based View Warping
* KAN-AV dataset for audio-visual face and speech analysis in the wild
* KBStyle: Fast Style Transfer Using a 200 KB Network With Symmetric Knowledge Distillation
* KD-Fixmatch: Knowledge Distillation Siamese Neural Networks
* Key Feature-Enhanced Network for Remote Sensing Object Detection, A
* Key point detection method for fish size measurement based on deep learning
* Key Point-based Orientation Estimation of Strawberries for Robotic Fruit Picking
* Key Role Guided Transformer for Group Activity Recognition
* Keypoints Dictionary Learning for Fast and Robust Alignment
* Keyrtual: A Lightweight Virtual Musical Keyboard Based on RGB-D and Sensors Fusion
* KGSR: A kernel guided network for real-world blind super-resolution
* Knowledge Distillation Hashing for Occluded Face Retrieval
* Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease
* Knowledge Guided Deep Learning for General-purpose Computer Vision Applications
* Knowledge-Guided Blind Image Quality Assessment With Few Training Samples
* L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images, An
* L2fusion: Low-Light Oriented Infrared and Visible Image Fusion
* Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval
* Ladder Siamese Network: A Method and Insights for Multi-Level Self-Supervised Learning
* LAFIT: Efficient and Reliable Evaluation of Adversarial Defenses With Latent Features
* Laformer: Vision Transformer for Panoramic Image Semantic Segmentation
* Land Cover and Landscape Structural Changes Using Extreme Gradient Boosting Random Forest and Fragmentation Analysis
* Landscape Pattern of Sloping Garden Erosion Based on CSLE and Multi-Source Satellite Imagery in Tropical Xishuangbanna, Southwest China
* Landscape Sensitivity Assessment of Historic Districts Using a GIS-Based Method: A Case Study of Beishan Street in Hangzhou, China
* Language Identification as Improvement for Lip-Based Biometric Visual Systems
* Language-Guided Face Animation by Recurrent StyleGAN-Based Generator
* Laptran: Transformer Embedding Graph Laplacian for Point Cloud Part Segmentation
* Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection
* Large Scale Multi-View RGBD Visual Affordance Learning Dataset, A
* Large-scale Analysis of Athletes' Cumulative Race Time in Running Events, A
* Large-Scale Multi-Fleet Platoon Coordination: A Dynamic Programming Approach
* Latent-Shift: Gradient of Entropy Helps Neural Codecs
* LatentPatch: A Non-Parametric Approach for Face Generation and Editing
* Layout-Bridging Text-to-Image Synthesis
* LBKENET: lightweight Blur Kernel Estimation Network for Blind Image Super-resolution
* LCMV: Lightweight Classification Module for Video Domain Adaptation
* LDCformer: Incorporating Learnable Descriptive Convolution to Vision Transformer for Face Anti-Spoofing
* Learn by Yourself: A Feature-Augmented Self-Distillation Convolutional Neural Network for Remote Sensing Scene Image Classification
* Learn More: Sub-Significant Area Learning for Fine-Grained Visual Classification
* Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective
* Learnable EVC Intra Predictor Using Masked Convolutions, A
* Learnable Hierarchical Label Embedding and Grouping for Visual Intention Understanding
* Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation
* Learned Image Compression Guided Adaptive Quantization for Perceptual Quality
* Learned Image Compression with Large Capacity and Low Redundancy of Latent Representation
* Learned Lossless Image Compression Through Interpolation With Low Complexity
* Learned Tensor Low-CP-Rank and Bloch Response Manifold Priors for Non-Cartesian MRF Reconstruction
* Learning a target-dependent classifier for cross-domain semantic segmentation: Fine-tuning versus meta-learning
* Learning conditional variational autoencoders with missing covariates
* Learning cross-task relations for panoptic driving perception
* Learning Disentangled Features for NERF-Based Face Reconstruction
* Learning Extended Depth of field Hyperspectral Imaging
* Learning full context feature for human motion prediction
* Learning Generalized Knowledge From a Single Domain on Urban-Scene Segmentation
* Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels
* Learning Landmarks Motion from Speech for Speaker-agnostic 3d Talking Heads Generation
* Learning Multi-Scale Features for JPEG Image Artifacts Removal
* Learning Mutually in Crowd Scenes for Pedestrian Detection
* Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition
* Learning Raw Image Denoising Using a Parametric Color Image Model
* Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling
* Learning scalable dynamic filter in convolutional networks
* Learning Self-Correlation in Space and Time as Motion Representation for Action Recognition
* Learning Spatial-Temporal Embeddings for Sequential Point Cloud Frame Interpolation
* Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis
* Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis
* Learning Stage-Wise GANs for Whistle Extraction in Time-Frequency Spectrograms
* Learning to Adapt Adversarial Perturbation Consistency for Domain Adaptive Semantic Segmentation of Remote Sensing Images
* Learning to Draw Through A Multi-Stage Environment Model Based Reinforcement Learning
* Learning Torso Prior for Co-Speech Gesture Generation with Better Hand Shape
* Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities
* Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion
* Learning-Based Rate Control for Learning-Based Point Cloud Geometry Coding
* Learnt Deep Hyperparameter Selection in Adversarial Training for Compressed Video Enhancement with a Perceptual Critic
* Leveraging Efficient Training and Feature Fusion in Transformers for Multimodal Classification
* Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography
* Leveraging Model Fusion for Improved License Plate Recognition
* Leveraging Optical Flow Features for Higher Generalization Power in Video Object Segmentation
* Leveraging Question Answering for Domain-Agnostic Information Extraction
* Leveraging topology for domain adaptive road segmentation in satellite and aerial imagery
* Leveraging Visual Prompts To Guide Language Modeling for Referring Video Object Segmentation
* LFTransNet: Light Field Salient Object Detection via a Learnable Weight Descriptor
* LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition
* LGSQE: Lightweight Generated Sample Quality Evaluation
* Lietome: An LSTM-based Method for Deception Detection by Hand Movements
* Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
* lightweight bus passenger detection model based on YOLOv5, A
* Lightweight CNN-Based in-Loop Filter for VVC Intra Coding
* Lightweight Deep Deblurring Model with Discriminative Multi-Scale Feature Fusion
* Lightweight detection network based on receptive-field feature enhancement convolution and three dimensions attention for images captured by UAVs
* Lightweight Hybrid Representation for Virtual Complex Scenes, A
* Lightweight Multi-View-Group Neural Network for 3D Shape Classification
* Lightweight Network Towards Real-Time Image Denoising On Mobile Devices
* Lightweight Real-Time Semantic Segmentation Network with Efficient Transformer and CNN
* lightweight unsupervised adversarial detector based on autoencoder and isolation forest, A
* linear transportation Lp distance for pattern recognition, A
* Lite-HRNet Plus: Fast and Accurate Facial Landmark Detection
* Lite-RTSE: Exploring a Cost-Effective Lite DNN Model for Real-Time Speech Enhancement in RTC Scenarios
* LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit
* LLA-Flow: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation
* Llieformer: A Low-Light Image Enhancement Transformer Network with a Degraded Restoration Model
* LMPDNET: TOF-PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method
* Local Context and Dimensional Relation Aware Transformer Network for Continuous Affect Estimation
* Local Texture Complexity Guided Adversarial Attack
* Local-Aware Intra Template Matching Prediction
* Local-Global Contrast for Learning Voice-Face Representations
* Localization of GNSS Spoofing Interference Source Based on a Moving Array Antenna
* Locally Accumulated Adam For Distributed Training With Sparse Updates
* Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification
* Location Planning of Emergency Medical Facilities Using the p-Dispersed-Median Modeling Approach
* Long-Short Range Adaptive Transformer With Dynamic Sampling for 3D Object Detection
* Long-Tailed Federated Learning Via Aggregated Meta Mapping
* Long-Term Detection of Suspended Particulate Matter Concentration and Water Colour in Gravel and Sand Pit Lakes through Landsat and Sentinel-2 Imagery, The
* Lossy LiDAR Point Cloud Compression via Cylindrical 3D Convolution Networks
* Low Complexity Coding Unit Decision for Video-Based Point Cloud Compression
* Low Complexity Estimator of Hyperbolic Frequency Modulated Signals, A
* Low Light RGB and IR Image Fusion with Selective CNN-Transformer Network
* Low-Cost and Fast Operational Procedure to Identify Potential Slope Instabilities in Cultural Heritage Sites, A
* Low-Cost and Robust Multi-Sensor Data Fusion Scheme for Heterogeneous Multi-Robot Cooperative Positioning in Indoor Environments, A
* Low-dimensionality Information Extraction Model for Semi-Structured Documents
* Low-Sampling-Frequency Plane wave Medical Ultrasound Imaging based on Adversarial Learning
* LSR: A Light-Weight Super-Resolution Method
* LT-ViT: A Vision Transformer for Multi-Label Chest X-Ray Classification
* LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification
* Luminance-Preserving Visible and Near-Infrared Image Fusion Network with Edge Guidance
* Lung segmentation in chest X-ray image using multi-interaction feature fusion network
* L_1 beta L_q Minimization for Signal and Image Recovery
* M3FPolypSegNet: Segmentation Network with Multi-Frequency Feature Fusion for Polyp Localization in Colonoscopy Images
* Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances, A
* Machine Learning Detects a Biopsy Needle in Ultrasound Images
* Machine Learning Paradigm for Studying Pictorial Realism: How Accurate are Constable's Clouds?, A
* Machine-Attention-based Video Coding for Machines
* Machine-Learning-Based Forest Classification and Regression (FCR) for Spatial Prediction of Liver Fluke Opisthorchis viverrini (OV) Infection in Small Sub-Watersheds
* Magnetic Tracking With Real-Time Geomagnetic Vector Separation for Robotic Dockable Charging
* MAGVA: An Open-Set Fault Diagnosis Model Based on Multi-Hop Attentive Graph Variational Autoencoder for Autonomous Vehicles
* Manifold Regularized Joint Transfer for Open Set Domain Adaptation
* Many-Objective Optimization Based Intrusion Detection for in-Vehicle Network Security
* Many-to-many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks
* Map-Informed Unrolled Algorithms for Hyper-Parameter Estimation
* MAPoseNet: Animal pose estimation network via multi-scale convolutional attention
* Mapping Gross Domestic Product Distribution at 1 km Resolution across Thailand Using the Random Forest Area-to-Area Regression Kriging Model
* Mapping Main Grain Crops and Change Analysis in the West Liaohe River Basin with Limited Samples Based on Google Earth Engine
* MC-GTA: A Synthetic Benchmark for Multi-camera Vehicle Tracking
* MCLA Task Offloading Framework for 5G-NR-V2X-Based Heterogeneous VECNs
* MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction
* MCSfM: Multi-Camera-Based Incremental Structure-From-Motion
* MCTE: Marrying Convolution and Transformer Efficiently for End-to-End Medical Image Segmentation
* MDC-Net: Multi-domain constrained kernel estimation network for blind image super resolution
* MDFD: Study of Distributed Non-IID Scenarios and Frechet Distance-Based Evaluation
* Measure4dhand: Dynamic Hand Measurement Extraction from 4D Scans
* Measuring the Multiple Functions and Tradeoffs among Streets: A New Framework Using the Deep Learning Method
* Medical Transformers for Boosting Automatic Grading of Colon Carcinoma in Histological Images
* MEGL: Multi-Experts Guided Learning Network for Single Camera Training Person Re-Identification
* Memory-Enhanced Twin Delayed Deep Deterministic Policy Gradient (ME-TD3)-Based Unmanned Combat Aerial Vehicle Trajectory Planning for Avoiding Radar Detection Threats in Dynamic and Unknown Environments
* MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets
* Merging multiple sensing platforms and deep learning empowers individual tree mapping and species detection at the city scale
* Metagrad: Adaptive Gradient Quantization with Hypernetworks
* MetaTraj: Meta-Learning for Cross-Scene Cross-Object Trajectory Prediction
* MFFN: Multi-Path Feedback Fusion Network for Lightweight Image Super Resolution
* MFMAM: Image inpainting via multi-scale feature module with attention module
* MFS enhanced SAM: Achieving superior performance in bimodal few-shot segmentation
* MFTSC: A Semantically Constrained Method for Urban Building Height Estimation Using Multiple Source Images
* MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification
* MGT-PC: Memory-Guided Transformer For Robust Point Cloud Classification
* MIA-Net: Multi-Modal Interactive Attention Network for Multi-Modal Affective Analysis
* Micro-Expression Recognition with Layered Relations and More Input Frames
* MIL-ViT: A multiple instance vision transformer for fundus image classification
* Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training
* Mining False Positive Examples for Text-Based Person Re-Identification
* Mitigating Dataset Bias in Image Captioning Through Clip Confounder-Free Captioning Network
* Mix-Net: Automatic Segmentation of COVID-19 CT Images Based on Parallel Design
* Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks
* Mixed-Methods Approach to Land Use Renewal Strategies in and around Abandoned Airports: The Case of Beijing Nanyuan Airport
* MLP-JCG: Multi-Layer Perceptron With Joint-Coordinate Gating for Efficient 3D Human Pose Estimation
* MMPosE: Movie-Induced Multi-Label Positive Emotion Classification Through EEG Signals
* MMSMCNet: Modal Memory Sharing and Morphological Complementary Networks for RGB-T Urban Scene Semantic Segmentation
* Modality Meets Long-Term Tracker: A Siamese Dual Fusion Framework for Tracking UAV
* Modality-Aware OOD Suppression Using Feature Discrepancy for Multi-Modal Emotion Recognition
* Model Doctor for Diagnosing and Treating Segmentation Error
* Model Predictive Eco-Driving Control for Heavy-Duty Trucks Using Branch and Bound Optimization
* Model Regularisation for Skin Lesion Symmetry Classification: Symderm v2.0
* Model-Agnostic Visual Explanations via Approximate Bilinear Models
* Modeling and Interpreting 6-D Object Pose Estimation
* Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal Fake News Detection
* Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks
* Modeling Lateral Control Behaviors of Distracted Drivers for Haptic-Shared Steering System
* Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction
* Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches
* Modeling the Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors Using Inverse Reinforcement Learning
* Modeling the Global Relationship via the Point Cloud Transformer for the Terrain Filtering of Airborne LiDAR Data
* Modeling Uncertainty of GEDI Clear-Sky Terrain Height Retrievals Using a Mixture Density Network
* Modeling Vehicle Paths at Intersections: A Unified Approach Based on Entrance and Exit Lanes
* Modelling Two Sugarcane Agro-Industrial Yields Using Sentinel/Landsat Time-Series Data and Their Spatial Validation at Different Scales in Costa Rica
* Modified Iteration-Free SPGA Based on Removing the Linear Phase, A
* Monitoring Mesoscale Convective System Using Swin-Unet Network Based on Daytime True Color Composite Images of Fengyun-4B
* Monitoring the Area Change in the Three Gorges Reservoir Riparian Zone Based on Genetic Algorithm Optimized Machine Learning Algorithms and Sentinel-1 Data
* Monitoring Total Suspended Solids and Chlorophyll-a Concentrations in Turbid Waters: A Case Study of the Pearl River Estuary and Coast Using Machine Learning
* monocular image depth estimation method based on weighted fusion and point-wise convolution, A
* More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning
* Morphometric Analysis of Trail Network and Tourist Vulnerability in a Highly Frequented Protected Area
* Mortality Prediction via Logistic Regression in Intensive Care Unit Patients with Pneumonia
* Motion Plane Adaptive Motion Modeling for Spherical Video Coding in H.266/VVC
* Motion-Based Conceptual Space Model to Support 3D Evacuation Simulation in Indoor Environments, A
* MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned From Image Pairs
* Motorcycle Detection and Collision Warning Using Monocular Images from a Vehicle
* Mouth Cavity Visual Analysis Based on Deep Learning for Oropharyngeal Swab Robot Sampling
* Moving: A Modular and Flexible Platform for Embodied Visual Navigation
* MPCCT: Multimodal vision-language learning paradigm with context-based compact Transformer
* MQ-Coder Inspired Arithmetic Coder for Synthetic DNA Data Storage
* mr2vec: Multiple role-based social network embedding
* MSA-GCN: Multiscale Adaptive Graph Convolution Network for gait emotion recognition
* MSV-RGNN: Multiscale Voxel Graph Neural Network for 3D Object Detection
* MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection
* MTJND: Multi-Task Deep Learning Framework for Improved JND Prediction
* MTU2-Net: Extracting Internal Solitary Waves from SAR Images
* Multi Hybrid Extractor Network for 3D Human Pose Estimation
* Multi Task-Based Facial Expression Synthesis with Supervision Learning and Feature Disentanglement of Image Style
* Multi-Agent Lifelong Implicit Neural Learning
* Multi-Agent Mix Hierarchical Deep Reinforcement Learning for Large-Scale Fleet Management
* Multi-Agent Reinforcement Learning for Intelligent V2G Integration in Future Transportation Systems
* Multi-Agent Reinforcement Learning With Policy Clipping and Average Evaluation for UAV-Assisted Communication Markov Game
* Multi-branch Segmentation-guided Attention Network for crowd counting
* Multi-Classification of Retinal Diseases Using a Pyramidal Ensemble Deep Framework
* Multi-Clue Reconstruction of Sharing Chains for Social Media Images
* Multi-conformation Aproach of ENM-NMA Dynamic-based Descriptors for HIV Drug Resistance Prediction
* Multi-cues underwater image restoration algorithm combined with light field technology
* Multi-Dimension Compression of Feed-Forward Network in Vision Transformers
* Multi-Dimensional Pruned Sparse Convolution for Efficient 3D Object Detection
* Multi-Exit Vision Transformer with Custom Fine-Tuning for Fine-Grained Image Recognition
* Multi-Frequency Differential Absorption LIDAR (DIAL) System for Aerosol and Cloud Retrievals of CO2/H2O and CH4/H2O
* Multi-Granularity Interaction and Integration Network for Video Question Answering
* Multi-Label Adversarial Attack Based on Label Correlation
* Multi-label learning based on instance correlation and feature redundancy
* Multi-Modal Hierarchical Attention-Based Dense Video Captioning
* Multi-Modal Image Fusion via Deep Laplacian Pyramid Hybrid Network
* Multi-modal spatial relational attention networks for visual question answering
* Multi-Modal Transformer Approach for Football Event Classification, A
* Multi-Modal Transformer With Global-Local Alignment for Composed Query Image Retrieval
* Multi-Object Tracking as Attention Mechanism
* Multi-Object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-Based Fishing Bycatch Monitoring
* Multi-Order Networks for Action Unit Detection
* Multi-Parameter Empirical Fusion Model for Ionospheric TEC in China's Region, A
* Multi-Range View Aggregation Network With Vision Transformer Feature Fusion for 3D Object Retrieval
* Multi-resolution distillation for self-supervised monocular depth estimation
* Multi-Scale Attention Learning Network for Facial Expression Recognition
* Multi-Scale Cell Segmentation Method for Detecting Hematological Disorders, A
* Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video Compression
* Multi-scale dynamic fusion for correcting uneven illumination images
* Multi-Scale Fusion and Decomposition Network for Single Image Deraining
* Multi-Scale Road Matching Based on the Summation Product of Orientation and Distance and Shape Descriptors
* Multi-Scale Spectral Loss Revisited
* Multi-Scale Temporal Feature Fusion for Few-Shot Action Recognition
* Multi-Scale Transformer Network for Saliency Prediction on 360-Degree Images
* Multi-Semantic Alignment Co-Reasoning Network for Video Question Answering
* Multi-Source Satellite and WRF-Chem Analyses of Atmospheric Pollution from Fires in Peninsular Southeast Asia
* Multi-Source-Data-Assisted AUV for Path Cruising: An Energy-Efficient DDPG Approach, A
* Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-Identification
* Multi-Stream Network for Mesh Denoising Via Graph Neural Networks with Gaussian Curvature, A
* Multi-Task Model Based on Vision Task Level for Saliency Object Detection in Foggy Conditions
* multi-task network for speaker and command recognition in industrial environments, A
* Multi-Task Probabilistic Regression with Overlap Maximization for Visual Tracking
* Multi-View 3D Compton Image Reconstruction With a Generalized List-Mode MLEM Algorithm
* Multi-view graph convolution network for the recognition of human action with spatial and temporal occlusion problems
* Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals
* Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity
* Multichannel Localization Method for Camouflaged Object Detection, A
* Multimodadl Graph Signal Denoising With Simultaneous Graph Learning using Deep Algorithm Unrolling
* Multimodal Multilevel Converged Attention Network for Hand Gesture Recognition With Hybrid sEMG and A-Mode Ultrasound Sensing, A
* Multimodal Mutual Attention-Based Sentiment Analysis Framework Adapted to Complicated Contexts
* Multimodal Sentiment Analysis Based on Attentional Temporal Convolutional Network and Multi-Layer Feature Fusion
* Multiple Description Video Coding for Real-Time Applications using HEVC
* Multiple Relational Learning Network for Joint Referring Expression Comprehension and Segmentation
* Multiple Spheres Detection Problem: Center Based Clustering Approach
* Multiscale Analysis of Spatial Accessibility to Acute Hospitals in Carinthia, Austria
* Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression
* Multiscale probability map guided index pooling with attention-based learning for road and building segmentation
* Multiscale Representations Learning Transformer Framework for Point Cloud Classification
* Multiscale Residual Solver for Total Variation Models, A
* Multispectral Camera Suite for the Observation of Earth's Outgoing Radiative Energy, A
* Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition
* Multithreaded Algorithms for Lossless Intra Compression of Point Cloud Geometry Based on the Silhouette 3d Coder
* Multivariate Transformer Network for Mild Cognitive Impairment Identification, The
* Mutual Relative Position Learning Transformer for Cross-View Geo-Localization
* Mutually Beneficial Transformer for Multimodal Data Fusion
* Mutually Supervised Learning via Interactive Consistency for Geographic Object Segmentation from Weakly Labeled Remote Sensing Imagery
* NCL++: Nested Collaborative Learning for long-tailed visual recognition
* Near-Infrared Fluorescence Tomography and Imaging of Ventricular Cerebrospinal Fluid Flow and Extracranial Outflow in Non-Human Primates
* Neighborhood Contrastive Transformer for Change Captioning
* NERD: Neural Field-Based Demosaicking
* Neural Airport Ground Handling
* Neural architecture search: A contemporary literature review for computer vision applications
* Neural Augmented Exposure Interpolation for HDR Imaging
* Neural Field Real-Time Transmission Using Multiple Description Coding with Random Position Sampling
* Neural Global Illumination for Inverse Rendering
* Neural Graph Refinement for Robust Recognition of Nuclei Communities in Histopathological Landscape
* Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction, A
* Neural Predictive Model of Negative Emotions for COVID-19, A
* NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery
* New Approach to the Ionosphere at Middle and Low Latitudes under the Geomagnetic Quiet Time of December 2019 by ICON and GOLD Observations, A
* new deep CNN for 3D text localization in the wild through shadow removal, A
* Night vision self-supervised Reflectance-Aware Depth Estimation based on reflectance
* Nighttime Haze Removal with Spatially Variant Ambient Light and Saliency-Weighted Fused Transmission
* No-Reference Quality Assessment Method for Digital Human Head, A
* no-reference underwater image quality evaluator via quality-aware features, A
* NOAA MODIS SST Reanalysis Version 1
* Node-Oriented Spectral Filtering for Graph Neural Networks
* Noise-Avoidance Sampling for Annotation Missing Object Detection
* Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approaches
* Nonlocal Low-Rank Residual Modeling for Image Compressive Sensing Reconstruction
* Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution
* Not with My Name! Inferring Artists' Names of Input Strings Employed by Diffusion Models
* Novel Action Saliency and Context-Aware Network for Weakly-Supervised Temporal Action Localization, A
* Novel Annotation and Metrics for Mangrove Species Classification Using Bounding Box Object Detection
* Novel Approach for Predicting Large Wildfires Using Machine Learning towards Environmental Justice via Environmental Remote Sensing and Atmospheric Reanalysis Data across the United States, A
* novel blind tamper detection and localization scheme for multiple faces in digital images, A
* Novel Class Activation Map for Visual Explanations in Multi-Object Scenes, A
* Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation, A
* Novel Closed-Loop Frequency Control Approach for Wireless Power Transfer Systems in On-Road Electric Vehicles, A
* novel complex-valued convolutional network for real-world single image dehazing, A
* Novel Distributed Situation Awareness Consensus Approach for UAV Swarm Systems, A
* Novel Grid Collection and Management Model of Remote Sensing Change Detection Samples
* Novel Hybrid Method for Urban Green Space Segmentation from High-Resolution Remote Sensing Images, A
* Novel Interval Type-2 Fuzzy Classifier Based on Explainable Neural Network for Surface Electromyogram Gesture Recognition, A
* Novel Loss for Change Point Detection Models With Time-Invariant Representations, A
* Novel Method of Modeling Grassland Wildfire Dynamics Based on Cellular Automata: A Case Study in Inner Mongolia, China, A
* Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization, A
* novel parameter decoupling approach of personalised federated learning for image analysis, A
* Novel Pseudo-Label Generation Method for Semi-Superivised SAR Target Recognition Based on Deep Learning, A
* Novel Selective Encryption Scheme for H.266/VVC Video, A
* Novel Spatial Position Prediction Navigation System Makes Surgery More Accurate, A
* Novel Weakly Supervised Segmentation Approach for Rapid Left Ventricle Annotation, A
* Novelty Detection in Human-machine Interaction Through a Multimodal Approach
* NTrans-Net: A Multi-Scale Neutrosophic-Uncertainty Guided Transformer Network for Indoor Depth Completion
* NUCQ: Non-Uniform Conditional Quantization for Learned Image Compression
* OAMatcher: An overlapping areas-based network with label credibility for robust and accurate feature matching
* Object Detection and Counting Challenges in Real Street Monitoring: Case Study of Homeless Encampments
* Object Detection Made Simpler by Eliminating Heuristic NMS
* Object drift determination network based on dual-template joint decision-making in long-term visual tracking
* Object-Centric Video Prediction Via Decoupling of Object Dynamics and Interactions
* OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection
* Observed Equity and Driving Factors of Automated External Defibrillators: A Case Study Using WeChat Applet Data
* Obstacle Avoidance and Interaction in Extended Reality: An Approach Based on 3d Object Detection
* OCVOS: Object-Centric Representation for Video Object Segmentation
* Odd: One-Class Anomaly Detection Via The Diffusion Model
* OEST: Outlier Exposure by Simple Transformations for Out-of-Distribution Detection
* Of Mice and Pose: 2d Mouse Pose Estimation from Unlabelled Data and Synthetic Prior
* Oil and Water Separation Phenomenon Inspired Loss for Feature Learning, The
* Omission-Free Inpainting: A Three-Stage Approach to Ensure Object Generation
* Omnidirectional Depth Estimation With Hierarchical Deep Network for Multi-Fisheye Navigation Systems
* On complementing unsupervised learning with uncertainty quantification
* On Exploring Multiplicity of Primitives and Attributes for Texture Recognition in the Wild
* On Minimizing the Age of Information in NOMA-Based Vehicular Networks Using Markov Decision Process
* On the Definition of Standard Parallels in Map Projections
* On the Relationship Between Iterated Statistical Linearization and Quasi-Newton Methods
* On Using RPPG Signals for Deepfake Detection: A Cautionary Note
* On-Orbit Relative Sensor Normalization for Unbalance Images from the Ice Pathfinder Satellite (BNU-1), An
* OnDA-DETR: Online Domain Adaptation for Detection Transformers with Self-Training Framework
* One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis
* Online Learning Framework for Sensor Fault Diagnosis Analysis in Autonomous Cars, An
* Online Pedestrian Tracking Using A Dense Fisheye Camera Network With Edge Computing
* OOD Attack: Generating Overconfident out-of-Distribution Examples to Fool Deep Neural Classifiers
* Open-Set Recognition for Facial-Expression Recognition
* Openfashionclip: Vision-and-language Contrastive Learning with Open-source Fashion Data
* Operator Theory for Analyzing the Resolution of Multi-illumination Imaging Modalities, An
* Optical and Thermal Image Processing for Monitoring Rainfall Triggered Shallow Landslides: Insights from Analogue Laboratory Experiments
* Optical Character Recognition for Medical Records Digitization with Deep Learning
* Optimal Path Tracking Control Based on Online Modeling for Autonomous Vehicle With Completely Unknown Parameters
* Optimal Power and Energy Management Control for Hybrid Fuel Cell-Fed Shipboard DC Microgrid
* Optimal UAV Trajectory Design for Moving Users in Integrated Sensing and Communications Networks
* Optimization and Simulation of Mountain City Land Use Based on MOP-PLUS Model: A Case Study of Caijia Cluster, Chongqing
* Optimization of Privacy Budget Allocation In Differential Privacy-Based Public Transit Trajectory Data Publishing for Smart Mobility Applications
* Optimized Coded Aperture Design in Compressive Spectral Imaging Via Coherence Minimization
* Optimized Neural Network with Refined Features for Categorization of Motor Imaginary Signals
* Optimized Pipeline for Image-based Localization in Museums from Egocentric Images, An
* Optimizing Image Compression Ratio for Generating Highly Accurate Local Digital Terrain Models: Experimental Study for Martian Moons eXploration Mission
* Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression
* Optimizing Transformer for Large-Hole Image Inpainting
* Optimizing Water Level Management Strategies to Strengthen Reservoir Support for Bird’s Migration Network
* Oropharynx Visual Detection by Using a Multi-Attention Single-Shot Multibox Detector for Human-Robot Collaborative Oropharynx Sampling
* Overlap Loss: Rethinking Weakly Supervised Instance Segmentation in Crowded Scenes
* PAG-TSN: Ridership Demand Forecasting Model for Shared Travel Services of Smart Transportation
* Pairwise Feature Learning for Unseen Plant Disease Recognition
* Palmprint Anti-Spoofing Based on Domain-Adversarial Training and Online Triplet Mining
* Pancreatic Cancer Detection Using Hyperspectral Imaging and Machine Learning
* PanoVLM: Low-Cost and accurate panoramic vision and LiDAR fused mapping
* PAR Contest 2023: Pedestrian Attributes Recognition with Multi-task Learning
* Parallel Gradient Blend for Class Incremental Learning
* Parallel Transportation in TransVerse: From Foundation Models to DeCAST
* ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
* Parameter-Efficient Vision Transformer with Linear Attention
* Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth
* Pars-OFF: A Benchmark for Offensive Language Detection on Farsi Social Media
* Part Aware Graph Convolution Network with Temporal Enhancement for Skeleton-Based Action Recognition
* Partial Multi-Modal Hashing via Neighbor-Aware Completion Learning
* Partial Point Cloud Completion Network Focusing on Detail Reconstruction, A
* Participants-based Synchronous Optimization Network for skeleton-based action recognition
* Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers
* Past Information Aggregation for Multi-Person Tracking
* Patch-based stochastic attention for image editing
* Patch-Wise Auto-Encoder for Visual Anomaly Detection
* PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes
* Pavement Image Enhancement in Pixel-Wise Based on Multi-Level Semantic Information
* PC-GNN: Pearson Correlation-Based Graph Neural Network for Recognition of Human Lower Limb Activity Using sEMG Signal
* PDR: Progressive Depth Regularization for Monocular 3D Object Detection
* PEAR: Positional-encoded Asynchronous Autoregression for satellite anomaly detection
* Penalized Modified Huber Regularization to Improve Adversarial Robustness, A
* Per-Lane Variable Speed Limit and Lane Change Control for Congestion Management at Bottlenecks
* Perceived Conversation Quality in Spontaneous Interactions
* Perception-guided defocus blur detection based on SVD feature
* Perception-Oriented Omnidirectional Image Super-Resolution Based on Transformer Network
* Perceptual Light Field Image Coding with CTU Level Bit Allocation
* Performance Assessment of Fine-tuned Barrier Recognition Models in Varying Conditions
* Performance Characterization of 2D CNN Features for Partial Video Copy Detection
* Performance Enhancement of C-V2X Mode 4 Utilizing Multiple Candidate Single-Subframe Resources
* Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model
* Personality Trait Recognition Based on Smartphone Typing Characteristics in the Wild
* PFC-UNIT: Unsupervised Image-to-Image Translation with Pre-Trained Fine-Grained Classification
* PFNet: Large-Scale Traffic Forecasting With Progressive Spatio-Temporal Fusion
* PFONet: A Progressive Feedback Optimization Network for Lightweight Single Image Dehazing
* PFTA-Net: Progressive Feature Alignment and Temporal Attention Fusion Networks for Video Inpainting
* Physically Based Thermal Infrared Snow/Ice Surface Emissivity for Fast Radiative Transfer Models
* Physics-Informed Deep Deblurring: Over-parameterized vs. Under-parameterized
* PIDViT: Pose-Invariant Distilled Vision Transformer for Facial Expression Recognition in the Wild
* PIT: Progressive Interaction Transformer for Pedestrian Crossing Intention Prediction
* PL-UNeXt: Per-Stage Edge Detail and Line Feature Guided Segmentation for Power Line Detection
* Planetary Radar: State-of-the-Art Review
* Play&Go Corporate: An End-to-End Solution for Facilitating Urban Cyclability
* PLMP: Point-Line Minimal Problems in Complete Multi-View Visibility
* Pluralistic Face Inpainting With Transformation of Attribute Information
* Point Cloud Denoising Via Momentum Ascent in Gradient Fields
* Point Cloud Geometry and Color Coding in a Learning-Based Ecosystem for JPEG Coding Standards
* Point Cloud Upsampling with Dynamic Graph Scattering Transform
* Point-Based Learnable Query Generator for Human-Object Interaction Detection
* Point-NAS: A Novel Neural Architecture Search Framework for Point Cloud Analysis
* Point-Supervised Single-Cell Segmentation via Collaborative Knowledge Sharing
* Point2Lane: Polyline-Based Reconstruction With Principal Points for Lane Detection
* Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges, A
* Polar Amplification in the Earth's Three Poles Based on MODIS Land Surface Temperatures
* Polarimetric Synthetic Aperture Radar Image Classification Based on Double-Channel Convolution Network and Edge-Preserving Markov Random Field
* Polarimetric Synthetic Aperture Radar Ship Potential Area Extraction Based on Neighborhood Semantic Differences of the Latent Dirichlet Allocation Bag-of-Words Topic Model
* Polarization-Enhancement Effects for the Retrieval of Significant Wave Heights from Gaofen-3 SAR Wave Mode Data
* Policing Social Disorder and Broken Windows Theory: Spatial Evidence from the Franeleros Experience
* PolSAR Image Classification Based-On Semi-Supervised Polarimetric Feature Selection
* Pose aligned modality-invariant feature learning for NIR-VIS heterogeneous face recognition
* Pose-Aided Video-Based Person Re-Identification via Recurrent Graph Convolutional Network
* Pose-guided adversarial video prediction for image-to-video person re-identification
* Pose2Trajectory: Using transformers on body pose to predict tennis player's trajectory
* Position-Based Emergency Message Dissemination Schemes in the Internet of Vehicles: A Review
* Pre-Training with Fractal Images Facilitates Learned Image Quality Estimation
* Precision Nitrogen Fertilization for Opium Poppy Using Combined Proximal and Remote Sensor Data Fusion
* Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations
* Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks
* Predictive Coding for Animation-Based Video Compression
* Predictive-Reactive Optimization Framework With Feedback-Based Knowledge Distillation for On-Demand Food Delivery, A
* PREFAB-GEN : AD HOC Image Generation for Pre-Manufacturing of Tires Using Image-To-Image Translation
* Preliminary Estimations of Mars Atmospheric and Ionospheric Profiles from Tianwen-1 Radio Occultation One-Way, Two-Way, and Three-Way Observations
* Preliminary Exploration for Long-Distance Non-Standardized Delivery
* Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy
* Presumably Correct Undersampling
* PRIME: Posterior Reconstruction of the Input for Model Explanations
* Privacy-Preserving Approach for Multi-Source Domain Adaptive Object Detection, A
* Privacy-Preserving Cross-Area Traffic Forecasting in ITS: A Transferable Spatial-Temporal Graph Neural Network Approach
* Prnet: A Progressive Regression Network for No-Reference User-Generated-Content (UGC) Video Quality Assessment
* Probabilistic Contrastive Framework for Semi-Supervised Learning, A
* Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections, A
* Probability-Based All-Zero Block Early Termination Algorithm for QSHVC, A
* Processing Energy Modeling For Neural Network Based Image Compression
* Product Image Recommendation with Transformer Model Using Deep Reinforcement Learning
* Product Image Representation Learning on Large Scale Noisy Datasets
* Progressive dense feature fusion network for single image deraining
* Progressive dilation dense residual fusion network for single-image deraining
* Progressive Local Filter Pruning for Image Retrieval Acceleration
* Progressive Mixup Augmented Teacher-Student Learning for Unsupervised Domain Adaptation
* Progressive Motion Boosting for Video Frame Interpolation
* Progressive Multi-View Fusion for 3D Human Pose Estimation
* Progressive Pretraining Network for 3D System Matrix Calibration in Magnetic Particle Imaging
* Progressive Recurrent Network for shadow removal
* Progressive Refinement Learning Based on Feature Interactive Fusion for Semantic Segmentation of Remote Sensing Limited Dataset
* Prompt Prototype Learning Based on Ranking Instruction For Few-Shot Visual Tasks
* Prototype Learning for Automatic Check-Out
* Prototype-Based Intent Perception
* Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise
* PS-NeRV: Patch-Wise Stylized Neural Representations for Videos
* PSAM: Progressive Spatial Adaptive Matching for Reference-Based Super Resolution
* PSCO: A Point Cloud Scene Classification Model Based on Contrast Learning
* Pseudo Labels Refinement with Intra-Camera Similarity for Unsupervised Person Re-Identification
* Pseudodepth-SLR: Generating Depth Data for Sign Language Recognition
* PSM-PS: Part-based Signal Modulation for Person Search
* Purifying Low-Light Images via Near-Infrared Enlightened Image
* Pushing the Limits of the Wiener Filter in Image Denoising
* PWDformer: Deformable transformer for long-term series forecasting
* Pyramid Masked Image Modeling for Transformer-Based Aerial Object Detection
* Pyramid Transformer Driven Multibranch Fusion for Polyp Segmentation in Colonoscopic Video Images
* QARV: Quantization-Aware ResNet VAE for Lossy Image Compression
* QoE-Oriented Mobile Virtual Reality Game in Distributed Edge Networks
* QTN: Quaternion Transformer Network for Hyperspectral Image Classification
* Quality Control for Ocean Current Measurement Using High-Frequency Direction-Finding Radar
* Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception, A
* Quantifiable Robustness Estimation for Object Detection with CNNs Using Intrinsic Dimensionality
* Quasi-Online Detection of Take and Release Actions from Egocentric Videos
* Quaternion Relation Embedding for Scene Graph Generation
* Query by Activity Video in the Wild
* Query-Based Video Summarization with Pseudo Label Supervision
* Quick Dissimilarity Detection for Center-Based Binary Images Via Smart Mapping
* Quick Estimation Model for Mapping Earthquake Impacts in Bogota, Colombia
* Quitting Ratio-Based Bitrate Ladder Selection Mechanism for Adaptive Bitrate Video Streaming
* QVRF: A Quantization-Error-Aware Variable Rate Framework for Learned Image Compression
* Race Bias Analysis of Bona Fide Errors in Face Anti-spoofing
* Radar Characteristics and Causal Analysis of Two Consecutive Tornado Events Associated with Heavy Precipitation during the Mei-Yu Season
* Radar HRRP Unseen Class Recognition Based on the Joint Dictionary Learning
* Radar Reflectivity Image Prediction Method: The Spatial MIM + Pix2Pix, A
* Random Forest Variable Importance Measures for Spatial Dynamics: Case Studies from Urban Demography
* Random hand gesture authentication via efficient Temporal Segment Set Network
* RANet: Relationship Attention for Hyperspectral Anomaly Detection
* Ranked Similarity Weighting and Top-nk Sampling in Deep Metric Learning
* RDEPD: Re-Exploring Depth Estimation for Pedestrian Detection
* Re-Parameterized Real-Time Stereo Matching Network Based on Mixed Cost Volumes Toward Autonomous Driving
* Re-Thinking the Effectiveness of Batch Normalization and Beyond
* Real-time GAN-based Model for Underwater Image Enhancement
* Real-time Multi-person Pose Tracking Method Using Deep Reinforcement Learning
* Real-Time Supermarket Product Recognition on Mobile Devices Using Scalable Pipelines
* Real-Time Trust Prediction in Conditionally Automated Driving Using Physiological Measures
* Real-Time Wheel Detection and Rim Classification in Automotive Production
* Realization of Digraph Filters Via Augmented GFT
* Reaper: Articulated Object 6d Pose Estimation with Deep Reinforcement Learning
* recent survey on perceived group sentiment analysis, A
* Recognizing, Fast and Slow: Complex Emotion Recognition With Facial Expression Detection and Remote Physiological Measurement
* Reconstruction with robustness: A semantic prior guided face super-resolution framework for multiple degradations
* Recovering Quality Scores in Noisy Pairwise Subjective Experiments Using Negative Log-Likelihood
* Rectangular-Output Image Stitching
* Reduced Complexity Multiscale CNN for in-Loop Video Restoration
* Redundancy-Reduced Sparsity-Based Adaptive Beamforming for Polarization-Sensitive Arrays
* ReeBundle: A Method for Topological Modeling of White Matter Pathways Using Diffusion MRI
* REER-H: A Reliable Energy Efficient Routing Protocol for Maritime Intelligent Transportation Systems
* Reference Data Set for the Study of Healthy Subject Gait with Inertial Measurements Units, A
* Refined Knowledge Transfer for Language-Based Person Search
* Refining Noisy Labels With Label Reliability Perception for Person Re-Identification
* Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning
* Regenerative Braking Control Strategy for Distributed Drive Electric Vehicles Based on Slope and Mass Co-Estimation
* Region-adaptive and context-complementary cross modulation for RGB-T semantic segmentation
* Regional context-based recalibration network for cataract recognition in AS-OCT
* Regularizing Neural Radiance Fields from Sparse RGB-D Inputs
* Relation-balanced graph convolutional network for 3D human pose estimation
* Reliability of Deep Neural Networks for an End-to-End Imitation Learning-Based Lane Keeping
* Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method
* Remote Sensing and GIS in Landslide Management: An Example from the Kravarsko Area, Croatia
* Remote Sensing Application in Chinese Medicinal Plant Identification and Acreage Estimation: A Review
* Remote Sensing Image Super-Resolution via Multi-Scale Texture Transfer Network
* Remote Sensing Inversion and Mapping of Typical Forest Stand Age in the Loess Plateau
* Remote Sensing of Coastal Waters, Land Use/Cover, Lakes, Rivers, and Watersheds II
* Remote Sensing-Based Outdoor Thermal Comfort Assessment in Local Climate Zones in the Rural-Urban Continuum of eThekwini Municipality, South Africa
* Replay-based Online Adaptation for Unsupervised Deep Visual Odometry
* Representation Learning of Vertex Heatmaps for 3D Human Mesh Reconstruction From Multi-View Images
* Request for Clarity over the End of Sequence Token in the Self-critical Sequence Training, A
* Research on Approximate Spatial Keyword Group Queries Based on Differential Privacy and Exclusion Preferences in Road Networks
* Research on Deformation Evolution of a Large Toppling Based on Comprehensive Remote Sensing Interpretation and Real-Time Monitoring
* Research on Prediction of Surface Deformation in Mining Areas Based on TPE-Optimized Integrated Models and Multi-Temporal InSAR
* Research on seamless image stitching based on fast marching method
* Research on the Characteristic Spectral Band Determination for Water Quality Parameters Retrieval Based on Satellite Hyperspectral Data
* Research on the Extraction Method Comparison and Spatial-Temporal Pattern Evolution for the Built-Up Area of Hefei Based on Multi-Source Data Fusion
* Research on Traffic Accident Risk Prediction Method Based on Spatial and Visual Semantics
* Research on train braking model by improved Polach model considering wheel-rail adhesion characteristics
* Residential Extraction Based on Weakly-Supervised Similarity-Aware Multi-Source Alignment Strategy with Limited SAR Data
* Residual Cascade CNN for Detection of Spatially Relevant Objects in Agriculture: The Grape-stem Paradigm
* Residual Deformable Convolution for better image de-weathering
* Residual shape adaptive dense-nested Unet: Redesign the long lateral skip connections for metal surface tiny defect inspection
* ResNet-based surface normal estimator with multilevel fusion approach with adaptive median filter region growth algorithm for road scene segmentation
* RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds
* Restorable Visible and Infrared Image Fusion
* Restoration of Extremely Compressed Background for VCM Using Guided Generative Priors
* Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation
* Rethinking Long-Tailed Visual Recognition with Dynamic Probability Smoothing and Frequency Weighted Focusing
* Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian Regularizer
* Retrieval of Land Surface Temperature over Mountainous Areas Using Fengyun-3D MERSI-II Data
* Retrieve the Visible Feature to Improve Thermal Pedestrian Detection Using Discrepancy Preserving Memory Network
* Reuse Non-Terrain Policies for Learning Terrain-Adaptive Humanoid Locomotion Skills
* Reversible adversarial steganography for security enhancement
* Reversible Data Hiding for JPEG Images With Adaptive Multiple Two-Dimensional Histogram and Mapping Generation
* Reversible Data Hiding in Encrypted Images Based on Time-Varying Huffman Coding Table
* Reversible Data Hiding of JPEG Image Based on Adaptive Frequency Band Length
* Review of Machine Learning-Based Recognition of Sign Language, A
* Review of Modern Fashion Recommender Systems, A
* review of regional and Global scale Land Use/Land Cover (LULC) mapping products generated from satellite remote sensing, A
* Revisiting Modality Imbalance In Multimodal Pedestrian Detection
* Revolutionizing Thermal Imaging: GAN-Based Vision Transformers for Image Enhancement
* RFID-assisted visual multiple object tracking without using visual appearance and motion
* Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium
* Risk Assessment for Connected Vehicles Under Stealthy Attacks on Vehicle-to-Vehicle Networks
* Risk Assessment of Landslide Collapse Disasters along National Highways Based on Information Quantity and Random Forest Coupling Methods: A Case Study of the G331 National Highway
* Risk-averse receding horizon motion planning for obstacle avoidance using coherent risk measures
* RLID-V: Reinforcement Learning-Based Information Dissemination Policy Generation in VANETs
* Rlstm: A Novel Residual and Recurrent Network for Pedestrian Action Classification
* RMLANet: Random Multi-Level Attention Network for Shadow Detection and Removal
* Robust Adversarial Defence: Use of Auto-inpainting
* robust and clinically applicable deep learning model for early detection of Alzheimer's, A
* Robust and Sample-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles
* Robust Bounding Box Regression for Small Object Detection
* Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation, A
* Robust Face Anti-Spoofing Framework with Convolutional Vision Transformer
* Robust Fault-Tolerant Estimation of Sideslip and Roll Angles for Distributed Drive Electric Buses With Stochastic Passenger Mass
* Robust Feature Extraction via L_inf-Norm Based Nonnegative Tucker Decomposition
* Robust Feature Learning Against Noisy Labels
* Robust Graph Neural Diffusion for Image Matching
* Robust Graph-Based Segmentation of Noisy Point Clouds
* Robust Lane Detection Through Self Pre-Training With Masked Sequential Autoencoders and Fine-Tuning With Customized PolyLoss
* Robust Least Squares Regression for Subspace Clustering: A Multi-View Clustering Perspective
* Robust Multispectral Pedestrian Detection Via Spectral Position-Free Feature Mapping
* Robust Nucleus Classification with Iterative Graph Representational Learning
* Robust Perception and Precise Segmentation for Scribble-Supervised RGB-D Saliency Detection
* Robust Perception Under Adverse Conditions for Autonomous Driving Based on Data Augmentation
* Robust Remote Photoplethysmography Estimation With Environmental Noise Disentanglement
* Robust Reversible Watermarking by Fractional Order Zernike Moments and Pseudo-Zernike Moments
* Robust RGB-T Tracking via Consistency Regulated Scene Perception
* Robust Service and Charging Plan for Dynamic Electric Demand-Responsive Transit Systems
* Robust vehicle lane keeping control with networked proactive adaptation
* Robust Video-Text Retrieval Via Noisy Pair Calibration
* Robust visual question answering via semantic cross modal augmentation
* Robust Wind Turbine Blade Segmentation from RGB Images in the Wild
* Robustly Integrated Design of Plug-in Fuel Cell Electric Buses Considering the Noise Disturbance
* RoCNet++: Triangle-based descriptor for accurate and robust point cloud registration
* RoMP-transformer: Rotational bounding box with multi-level feature pyramid transformer for object detection
* Rotation XGBoost Based Method for Hyperspectral Image Classification with Limited Training Samples
* Route Planning Based on Parallel Optimization in the Air-Ground Integrated Network
* RQNet: Residual Quaternion CNN for Performance Enhancement in Low Complexity and Device Robust Acoustic Scene Classification
* RSFDM-Net: Real-Time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement
* RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs
* RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data
* SA-FlowNet: Event-based self-attention optical flow estimation with spiking-analogue neural networks
* SAE-PPL: Self-guided attention encoder with prior knowledge-guided pseudo labels for weakly supervised video anomaly detection
* Safe Robot Navigation in Indoor Healthcare Workspaces
* Safety Monitoring of Transportation Infrastructure Foundation: Intelligent Recognition of Subgrade Distresses Based on B-Scan GPR Images
* Saliency-Aware Method for Arbitrary Style Transfer, A
* Sampling Equivariant Self-Attention Networks for Object Detection in Aerial Images
* Sampling-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow
* Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers
* SAR Target Extraction Based On Saliency-Guided Cross-Domain Discrepancy Alignment Strategy
* SAR-ATR with knowledge hierarchy division and information dissemination networks
* SAR-HUB: Pre-Training, Fine-Tuning, and Explaining
* Sarcasm Detection: A Review, Synthesis and Future Research Agenda
* Satellite and High-Spatio-Temporal Resolution Data Collected by Southern Elephant Seals Allow an Unprecedented 3D View of the Argentine Continental Shelf
* Satellite Imagery-Based Cloud Classification Using Deep Learning
* Satellite Lidar Measurements as a Critical New Global Ocean Climate Record
* Satellite Observational Study of Topographical Effects on Daytime Shallow Convective Clouds, A
* Satellite remote sensing model for estimating canopy transpiration in cypress plantation using in situ sap flow observations and forest inventory
* Satellite Velocity Correction Method of Ocean Current Retrieval for a Spaceborne Doppler Scatterometer
* Satellite-Based Localization of IoT Devices Using Joint Doppler and Angle-of-Arrival Estimation
* Satellite-Derived Lagrangian Transport Pathways in the Labrador Sea
* SatelliteSkill5: An Augmented Reality Educational Experience Teaching Remote Sensing through the UN Sustainable Development Goals
* SATPlate: A Germany License Plate Detection Dataset and Baselines
* SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes
* Scalable and accurate subsequence transform for time series classification
* Scale Region Recognition Network for Object Counting in Intelligent Transportation System
* Scale-Aware Monocular Visual Odometry and Extrinsic Calibration Using Vehicle Kinematics
* Scapegoat Generation for Privacy Protection from Deepfake
* Scene adaptive mechanism for action recognition
* Scene Flow Estimation from Point Clouds with Contrastive Loss and Dual Pseudo Labels
* Scene Text Recognition Models Explainability Using Local Features
* Scene Text Segmentation by Paired Data Synthesis
* Scene-Adaptive Real-Time Fast Dehazing and Detection in Driving Environment
* Scene-pathy: Capturing the Visual Selective Attention of People Towards Scene Elements
* Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search
* Scoping Survey on Cross-Reality Systems, A
* Score-Based Diffusion Models for Bayesian Image Reconstruction
* ScratchHOI: Training Human-Object Interaction Detectors from Scratch
* SCTANet: A Spatial Attention-Guided CNN-Transformer Aggregation Network for Deep Face Image Super-Resolution
* SDAT-Former: Foggy Scene Semantic Segmentation Via A Strong Domain Adaptation Teacher
* SDWD: Style Diversity Weighted Distance Evaluates the Intra-Class Data Diversity of Distributed GANs
* Seabream Freshness Classification Using Vision Transformers
* Seasonal Cooling Effect of Vegetation and Albedo Applied to the LCZ Classification of Three Chinese Megacities
* Seasonal Effect of the Vegetation Clumping Index on Gross Primary Productivity Estimated by a Two-Leaf Light Use Efficiency Model
* Secure Traffic Monitoring With Spatio-Temporal Metadata Protection Using Oblivious RAM
* Segmentation and Classification-Based Diagnosis of Tumors From Breast Ultrasound Images Using Multibranch Unet
* Segmentation is Tracking: Spatial-Temporal Map Vehicle Trajectory Reconstruction and Validation
* Segmentation of the Left Ventricle by SDD double threshold selection and CHT
* Segmentation of the Left Ventricle for the Cardiac Phases between End-Diastole and End-Systole
* Selecting A Diverse Set Of Aesthetically-Pleasing and Representative Video Thumbnails Using Reinforcement Learning
* Self Adaptive Global-Local Feature Enhancement for Radiology Report Generation
* Self Patch Labeling Using Quality Distribution Estimation for CNN-Based 360-IQA Training
* Self-Attention Convolutional Long Short-Term Memory for Short-Term Arctic Sea Ice Motion Prediction Using Advanced Microwave Scanning Radiometer Earth Observing System 36.5 GHz Data
* Self-Compensating Learning for Few-Shot Segmentation
* Self-Enhanced Training Framework for Referring Expression Grounding
* Self-Ensembling GAN for Cross-Domain Semantic Segmentation
* Self-organizing Map Clustering Approach to Support Territorial Zoning, A
* Self-Reinforcing For Few-Shot Medical Image Segmentation
* Self-similarity Block for Deep Image Denoising
* Self-Supervised 3D Action Representation Learning With Skeleton Cloud Colorization
* Self-Supervised 3D Skeleton Representation Learning with Active Sampling and Adaptive Relabeling for Action Recognition
* Self-Supervised Contrastive Learning for Audio-Visual Action Recognition
* Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach
* Self-Supervised Denoising of Optical Coherence Tomography with Inter-Frame Representation
* Self-Supervised Digital Histopathology Image Disentanglement for Arbitrary Domain Stain Transfer
* Self-Supervised Focus Measure Fusing for Depth Estimation from Computer-Generated Holograms
* Self-supervised latent feature learning for partial point clouds recognition
* Self-Supervised Learning for Context-Independent DfD Network using Multi-View Rank Supervision
* Self-Supervised Learning for Scanned Halftone Classification with Novel Augmentation Techniques
* Self-Supervised Learning for Semi-Supervised Temporal Language Grounding
* Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
* Self-supervised Monocular Depth Estimation on Unseen Synthetic Cameras
* Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement
* SEM-CS: Semantic Clipstyler for Text-Based Image Style Transfer
* SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection
* Semantic and Instance-Aware Pixel-Adaptive Convolution for Panoptic Segmentation
* Semantic Circle Detection and Circle-Inner Segmentation for Tree-Wise Citrus Summer Shoot Management in Aerial Images
* Semantic Learning Network for Controllable Video Captioning
* Semantic Mapping of Incremental 3D Point Clouds Based on Multi-Hop Graph Attention Network
* Semantic Relevance Learning for Video-Query Based Video Moment Retrieval
* Semantic Scene Completion with Point Cloud Representation and Transformer-based feature fusion
* Semantic Segmentation in Thermal Videos: A New Benchmark and Multi-Granularity Contrastive Learning-Based Framework
* Semantic segmentation with cross convolution and multi-layer feature refinement
* Semantic Traffic Law Adaptive Decision-Making for Self-Driving Vehicles
* Semantic-Embedded Knowledge Acquisition and Reasoning for Image Segmentation
* Semantics-Guided Visual Simultaneous Localization and Mapping with U-Net for Complex Dynamic Indoor Environments, A
* Semantics-Preserving Sketch Embedding for Face Generation
* Semi-automated Lesions Segmentation of Brain Metastases in MRI Images
* Semi-Paired Approach for Label-to-Image Translation, A
* Semi-Structural Interview-Based Chinese Multimodal Depression Corpus Towards Automatic Preliminary Screening of Depressive Disorders
* Semi-supervised Classification for Remote Sensing Datasets
* Semi-Supervised Contrastive Learning of Global and Local Representation for 3d Medical Image Segmentation
* Semi-Supervised Few-Shot Segmentation with Noisy Support Images
* Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences
* Sentiment Analysis for the Natural Environment: A Systematic Review
* Sentinel-1 Imagery Used for Estimation of Soil Organic Carbon by Dual-Polarization SAR Vegetation Indices
* Separated Fan-Beam Projection with Gaussian Convolution for Invariant and Robust Butterfly Image Retrieval
* Sequential architecture-agnostic black-box attack design and analysis
* Sequential Model Correction for Nonlinear Inverse Problems
* SGA-Net: A Sparse Graph Attention Network for Two-View Correspondence Learning
* SGFNet: Semantic-Guided Fusion Network for RGB-Thermal Semantic Segmentation
* SGSR: A Saliency-Guided Image Super-Resolution Network
* Shallow Camera Pipeline for Night Photography Enhancement
* Shallow U-Net with Split-Fused Attention Mechanism for Retinal Vessel Segmentation, A
* Shared-Private Memory Networks For Multimodal Sentiment Analysis
* Short Communication: Localized Adversarial Artifacts for Compressed Sensing MRI
* Show, Tell and Rephrase: Diverse Video Captioning via Two-Stage Progressive Training
* SiamCCF: Siamese visual tracking via cross-layer calibration fusion
* SiamCLIM: Text-Based Pedestrian Search Via Multi-Modal Siamese Contrastive Learning
* Siamese Graph Learning for Semi-Supervised Age Estimation
* Siamese Network Representation for Active Learning
* Sift-guided Saliency-based Augmentation for Weed Detection in Grassland Images: Fusing Classic Computer Vision with Deep Learning
* Simple But Powerful, a Language-Supervised Method for Image Emotion Classification
* Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning
* Simple Self-Distillation Learning for Noisy Image Classification
* Simplicial Complex Neural Networks
* Simplification and Regularization Algorithm for Right-Angled Polygon Building Outlines with Jagged Edges
* SimSwap++: Towards Faster and High-Quality Identity Swapping
* Simulation of Parallel Polarization Radiance for Retrieving Chlorophyll a Concentrations in Open Oceans Based on Spaceborne Polarization Crossfire Strategy
* Simulation of Synthetic Aperture Radar Images for Ocean Ship Wakes
* Simultaneous Watermarking and Draco 3D Object Compression Method
* Simultaneously Training and Compressing Vision-and-Language Pre-Training Model
* Single Image HDR Synthesis with Histogram Learning
* Single Image LDR to HDR Conversion Using Conditional Diffusion
* Single-Domain Generalization for Semantic Segmentation Via Dual-Level Domain Augmentation
* Single-Image HDR Reconstruction Based on Two-Stage GAN Structure
* Single-Line Text Detection in Multi-Line Text with Narrow Spacing for Line-Based Character Recognition
* Single-Stage Heavy-Tailed Food Classification
* Skeleton Action Recognition Based on Spatio-Temporal Features
* Skeleton Neural Networks via Low-Rank Guided Filter Pruning
* Skeleton-Based Action Recognition Through Contrasting Two-Stream Spatial-Temporal Networks
* Skeleton-Based Action Recognition with Select-Assemble-Normalize Graph Convolutional Networks
* Sketch face recognition based on light semantic Transformer network
* Sketchffusion: Sketch-Guided Image Editing with Diffusion Model
* Skill-Based Hierarchical Reinforcement Learning for Target Visual Navigation
* Slope-Scale Evolution Categorization of Deep-Seated Slope Deformation Phenomena with Sentinel-1 Data
* Slovo: Russian Sign Language Dataset
* Small object detection based on hierarchical attention mechanism and multi-scale separable detection
* Smart Affect Monitoring With Wearables in the Wild: An Unobtrusive Mood-Aware Emotion Recognition System
* SMNet: Synchronous Multi-Scale Low Light Enhancement Network With Local and Global Concern
* Smooth and Stepwise Self-Distillation for Object Detection
* Smoothing and Transition Matrices Estimation to Learn with Noisy Labels
* Snow Persistence and Snow Line Elevation Trends in a Snowmelt-Driven Basin in the Central Andes and Their Correlations with Hydroclimatic Variables
* Social Attributes-Based Content Delivery for Sparse Vehicular Content-Centric Network
* Social Image-Text Sentiment Classification With Cross-Modal Consistency and Knowledge Distillation
* Soft-IntroVAE for Continuous Latent Space Image Super-Resolution
* Solving photogrammetric cold cases using AI-based image matching: New potential for monitoring the past with historical aerial images
* Source Identification of 3D Printer Based on Layered Texture Encoders
* Space-Time-Waveform Joint Adaptive Detection for MIMO Radar
* Spaceborne SAR Time-Series Images Change Detection Based on SAR-SIFT-Logarithm Background Subtraction
* Sparse Double Descent in Vision Transformers: Real or Phantom Threat?
* Spatial Accessibility of Public Electric Vehicle Charging Services in China
* Spatial and Spectral Translation of Landsat 8 to Sentinel-2 Using Conditional Generative Adversarial Networks
* Spatial and Temporal Evolution of the Characteristics of Spatially Aggregated Elements in an Urban Area: A Case Study of Wuhan, China
* Spatial Effects of Regional Poverty: Spatial Dependence, Spatial Heterogeneity and Scale Effects, The
* Spatial Exploration Indicators in the Remote Assessment of Visual Neglect
* Spatial Heterogeneity of Summer Rainfall Trends over the Tibetan Plateau Contributed by Different Rainfall Intensities
* Spatial Transformer Generative Adversarial Network for Image Super-resolution
* Spatial-Frequency Network for Segmentation of Remote Sensing Images
* Spatial-Temporal Exclusive Capsule Network for Open Set Action Recognition
* Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario
* Spatial-temporal Graph Transformer for Surgical Skill Assessment in Simulation Sessions
* Spatial-Temporal Graphs Plus Transformers for Geometry-Guided Facial Expression Recognition
* Spatial-Temporal Mapping and Landscape Influence of Aquaculture Ponds in the Yangtze River Economic Belt from 1985 to 2020
* Spatial-Temporal Transformer Network for Human Mocap Data Recovery
* Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces
* Spatially-Regularized Features for Vehicle Re-Identification: An Explanation of Where Deep Models Should Focus
* Spatio-Temporal Dynamics of Total Suspended Sediments in the Belize Coastal Lagoon
* Spatio-temporal human action localization in indoor surveillances
* Spatio-temporal multi-level attention crop mapping method using time-series SAR imagery
* Spatio-Temporal Perception-Distortion Trade-Off in Learned Video SR
* Spatio-Temporal Variability of the Aerosol Optical Depth over the Gorky and Cheboksary Reservoirs in 2022-2023
* Specchieri Marven Dataset: An Abbreviation-Rich Dataset in Venetian Idiom, The
* Specialise to Generalise: The Person Re-identification Case
* Spectral Grouping Driven Hyperspectral Super-Resolution
* Speech Synthesis With Mixed Emotions
* Spherical Centralized Quantization for Fast Image Retrieval
* Spherical Framelets from Spherical Designs
* Spiking GLOM: Bio-Inspired Architecture for Next-Generation Object Recognition
* Split Gibbs Sampler Revisited: Improvements to Its Algorithmic Structure and Augmented Target Distribution, The
* SPN2D-GAN: Semantic Prior Based Night-to-Day Image-to-Image Translation
* SPS: Accurate and Real-Time Semantic Positioning System Based on Low-Cost DEM Maps
* SPSRec: An Efficient Signal Phase Recommendation for Signalized Intersections With GAN and Decision-Tree Model
* SSCNet: A Spectrum-Space Collaborative Network for Semantic Segmentation of Remote Sensing Images
* ST-MFNET Mini: Knowledge Distillation-Driven Frame Interpolation
* Stable Deep MRI Reconstruction Using Generative Priors
* Stage of Decay Estimation Exploiting Exogenous and Endogenous Image Attributes to Minimize Manual Labeling Efforts and Maximize Classification Performance
* STANet: Spatiotemporal Adaptive Network for Remote Sensing Images
* State Prediction and Anti-Interference-Based Flight Path-Following for UAVs
* Stealthy Frequency-Domain Backdoor Attacks: Fourier Decomposition and Fundamental Frequency Injection
* Steformer: Efficient Stereo Image Super-Resolution With Transformer
* STEPSBI: Quick spatiotemporal fusion with coarse- and fine-resolution scale transformation errors and pixel-based synthesis base image pair
* Stingless Bee Classification: A New Dataset and Baseline Results
* STPNet: Quantifying the Uncertainty of Electric Vehicle Charging Demand via Long-Term Spatiotemporal Traffic Flow Prediction Intervals
* Streaming Graph-based Supervoxel Computation Based on Dynamic Iterative Spanning Forest
* Strengthening Deep Learning Model for Robust Screening of Volumetric Chest Radiographic Scans
* STRFormer: Spatial-Temporal-ReTemporal Transformer for 3D human pose estimation
* Stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound Images
* StrongSORT: Make DeepSORT Great Again
* Structural Analysis of the Additive Noise Impact on the alpha-Tree
* Structural Charging and Replenishment Policies for Battery Swapping Charging System Operation Under Uncertainty
* Structural Complexity of Coral Reefs in Guam, Mariana Islands
* Structure-Aware Framework of Unsupervised Cross-Modality Domain Adaptation via Frequency and Spatial Knowledge Distillation, A
* Structure-Aware Generative Adversarial Network for Text-to-Image Generation
* Structure-Fusion Network for Medical Image Classification, A
* Study of Subjective and Objective Quality Assessment of HDR Videos, A
* Study of the Effect of Different Atmospheric Conditions on the Temporal Evolution of the Mixing Layer over Madrid during the Year 2020 by Means of Two Different Methods: Ceilometer Signals and the ECMWF-IFS Meteorological Model
* Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings
* Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach
* Subjective Assessment of the Impact of a Content Adaptive Optimiser for Compressing 4K HDR Content With AV1
* Subjective Quality Assessment of Enhanced Retinal Images
* Subspace Model-Assisted Deep Learning for Improved Image Reconstruction
* Suitability of Satellite Imagery for Surveillance of Maize Ear Damage by Cotton Bollworm (Helicoverpa armigera) Larvae
* Super-Resolution of BVOC Maps by Adapting Deep Learning Methods
* Supervised Learning of Hierarchical Image Segmentation
* Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations
* Survey of Single Image Rain Removal Based on Deep Learning, A
* Survey on Deep Generative 3D-Aware Image Synthesis, A
* Survey on Emotion Sensing Using Mobile Devices
* Survey on Video Action Recognition in Sports: Datasets, Methods and Applications, A
* Susceptibility Mapping of Unhealthy Trees in Jiuzhaigou Valley Biosphere Reserve
* Suspended Sediment Concentration Estimation along Turbid Water Outflow Using a Multispectral Camera on an Unmanned Aerial Vehicle
* Sustainability Assessment of Regional Transportation: An Innovative Fuzzy Group Decision-Making Model
* Sustainable and Round-Optimized Group Authenticated Key Exchange in Vehicle Communication
* Sustainable and Transferable Traffic Sign Recognition for Intelligent Transportation Systems
* Sustainable Micromobility Management in Smart Cities
* Sustainable Multi-Agent Routing Algorithm for Vehicle Platoons in Urban Networks, A
* Swinat-Unet: a new Backbone for Precipitation Nowcasting
* SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images
* Synchronization of Boolean networks with chaos-driving and its application in image cryptosystem
* Synthcap: Augmenting Transformers with Synthetic Data for Image Captioning
* Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features, A
* TAMM: A Task-Adaptive Multi-Modal Fusion Network for Facial-Related Health Assessments on 3D Facial Images
* TAQ: Top-K Attention-Aware Quantization for Vision Transformers
* Target-Discriminability-Induced Multi-Source-Free Domain Adaptation
* Target-driven One-shot Unsupervised Domain Adaptation
* Task-Adaptive Feature Matching Loss for Image Deblurring
* Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition
* Task-Aware Graph Convolutional Network for Active Learning
* Task-Driven Video Compression for Humans and Machines: Framework Design and Optimization
* Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information
* Teacher-student Synergetic Knowledge Distillation for Detecting Alcohol Consumption in NIR Iris Images
* Teaching Computer Programming with Mathematics for Generating Digital Videos and Machine Learning Optimization
* Teaching Practices Analysis Through Audio Signal Processing
* Team DETR: Guide Queries as a Professional Team in Detection Transformers
* Teardrops on My Face: Automatic Weeping Detection From Nonverbal Behavior
* Tell Your Story: Text-Driven Face Video Synthesis with High Diversity via Adversarial Learning
* Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity
* temporal densely connected recurrent network for event-based human pose estimation, A
* Temporal Feature Matching and Propagation for Semantic Segmentation on 3D Point Cloud Sequences
* Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms
* Temporal Speciation Network for Few-Shot Object Detection
* Tensor Extended Kalman Filter and its Application to Traffic Prediction
* Tensor-Based Incomplete Multi-View Clustering With Low-Rank Data Reconstruction and Consistency Guidance
* TensorFormer: A Tensor-Based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection
* Text Growing on Leaf
* Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss
* TextSLAM: Visual SLAM With Semantic Planar Text Features
* Textual Context-Aware Dense Captioning With Diverse Words
* Texture Analysis Contribution to Evaluate the Common Carotid Artery's Cardiovascular Disease (cvd) Risk Using Structural Equation Modeling
* Texture-Guided Transfer Learning for Low-Quality Face Recognition
* Theoretical Validation of the Moving Observer Method, A
* Thermal Infrared Guided Color Image Dehazing
* Threat Assessment Strategy of Human-in-the-Loop Unmanned Underwater Vehicle Under Uncertain Events
* TIB: Detecting Unknown Objects via Two-Stream Information Bottleneck
* Time Distributed Multiview Representation for Speech Emotion Recognition
* Time pattern reconstruction for classification of irregularly sampled time series
* Time-aware Circulant Matrices for Question-based Temporal Localization
* Tiny Object Tracking With Proposal Position Enhancement
* TMNet: Triple-modal interaction encoder and multi-scale fusion decoder network for V-D-T salient object detection
* Token-Consistent Dropout For Calibrated Vision Transformers
* Topological safeguard for evasion attack interpreting the neural networks' behavior
* Topology Based Denoising Approach for 2D Scalar Fields, A
* Toward Accurate Crowd Counting in Large Surveillance Areas Based on Passive WiFi Sensing
* Toward high imperceptibility deep JPEG steganography based on sparse adversarial attack
* Toward Optimal Real-Time Volumetric Video Streaming: A Rolling Optimization and Deep Reinforcement Learning Based Approach
* Toward Robust Neural Image Compression: Adversarial Attack and Model Finetuning
* Toward Smart Traffic Management with 3D Placement Optimization in UAV-Assisted NOMA IIoT Networks
* Toward Sustainable Transportation: Robust Lane-Change Monitoring With a Single Back View Cabin Camera
* Towards a Robust Solution for the Supermarket Shelf Audit Problem: Obsolete Price Tags in Shelves
* Towards Accurate and Efficient Sleep Period Detection Using Wearable Devices
* Towards an Unsupervised Growcut Algorithm for Mammography Segmentation
* Towards Codebook-Free Deep Probabilistic Quantization for Image Retrieval
* Towards Comprehensive Monocular Depth Estimation: Multiple Heads are Better Than One
* Towards Explainable Navigation and Recounting
* Towards Facial Expression Robustness in Multi-scale Wild Environments
* Towards Modeling 3D Dense Shape Correspondence from Category-Specific Multi-View Images
* Towards object tracking for quadruped robots
* Towards Query Efficient and Generalizable Black-Box Face Reconstruction Attack
* Towards Robust Colour Texture Classification with Limited Training Data
* Towards Robust Defect Detection in Casting Using Contrastive Learning
* Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification
* TP-YOLO: A Lightweight Attention-Based Architecture for Tiny Pest Detection
* TR3D: Towards Real-Time Indoor 3D Object Detection
* Tracking and Identification of Ice Hockey Players
* Traction Control Allocation Employing Vehicle Motion Feedback Controller for Four-Wheel-Independent-Drive Vehicle
* Traffic Equilibrium Considering Heterogeneity Across Electric Vehicles
* Traffic Modeling Based on Data-Driven Method for Simulation Test of Autonomous Driving
* Training Cartoonization Network without Cartoon
* Training-Free Location-Aware Text-to-Image Synthesis
* TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation
* Trajectory Tracking of Variable Centroid Objects Based on Fusion of Vision and Force Perception
* Transbuilding: An End-to-End Polygonal Building Extraction with Transformers
* Transferable driver facial expression recognition based on joint discriminative correlation alignment network with enhanced feature attention
* Transferable Takagi-Sugeno-Kang Fuzzy Classifier With Multi-Views for EEG-Based Driving Fatigue Recognition in Intelligent Transportation
* Transferring Image-CLIP to Video-Text Retrieval via Temporal Relations
* Transform, contrast and tell: Coherent entity-aware multi-image captioning
* Transformation Consistency for Remote Sensing Image Super-Resolution
* Transformer Based Conditional GAN for Multimodal Image Fusion
* Transformer-Based Multi-Scale Feature Integration Network for Video Saliency Prediction
* Transformer-Based Variable-Rate Image Compression with Region-of-Interest Control
* Transforming Multidimensional Data into Images to Overcome the Curse of Dimensionality
* Transionospheric Autofocus for Synthetic Aperture Radar
* TranSpeckle: An edge-protected transformer for medical ultrasound image despeckling
* Transpointflow: Learning Scene Flow from Point Clouds with Transformer
* Transportation Internet: A Sustainable Solution for Intelligent Transportation Systems
* TRG-DQA: Texture Residual-Guided Dehazed Image Quality Assessment
* TRICKVOS: A Bag of Tricks for Video Object Segmentation
* Triple critical feature capture network: A triple critical feature capture network for weakly supervised object detection
* True Rank Guided Efficient Neural Architecture Search for End to End Low-complexity Network Discovery
* Truncated Weighted Nuclear Norm Regularization and Sparsity for Image Denoising
* Trust Model for Edge-Driven Vehicular Ad Hoc Networks Using Fuzzy Logic, A
* Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation
* TSFC: Texture and Structure Features Coupling for Image Inpainting
* TT U-Net: Temporal Transformer U-Net for Motion Artifact Reduction Using PAD (Pseudo All-Phase Clinical-Dataset) in Cardiac CT
* Twisted Gaussian Risk Model Considering Target Vehicle Longitudinal-Lateral Motion States for Host Vehicle Trajectory Planning, A
* Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition
* Two is Better than One: Achieving High-quality 3d Scene Modeling with a NeRF Ensemble
* two-Dimensional Difference Histogram Equalization with fuzzy Cumulative Distribution Correction for dark Images, A
* Two-Stage Intrusion Detection System in Intelligent Transportation Systems Using Rule Extraction Methods From Deep Neural Networks
* Two-Stage Optimal Trajectory Planning Based on Resilience Adjustment Model for Virtually Coupled Trains
* Two-step multi-view data classification based on dynamic Graph-ELM
* UAV Multi-object Tracking by Combining Two Deep Neural Architectures
* UAV small target detection algorithm based on an improved YOLOv5s model
* UAV-Assisted RSUs for V2X Connectivity Using Voronoi Diagrams in 6G+ Infrastructures
* UAVs and 3D City Modeling to Aid Urban Planning and Historic Preservation: A Systematic Review
* ULcompress: A Unified low bit-rate image Compression Framework via Invertible Image Representation
* Uncertainty Aware Implicit Image Function for Arbitrary-Scale Super-Resolution
* Uncovering Lies: Deception Detection in a Rolling-dice Experiment
* Uncovering Manipulated Files Using Mathematical Natural Laws
* Understanding Map Misinterpretation: Factors Influencing Correct Map Reading and Common Errors
* Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks
* Undirected graph representing strategy for general room layout estimation
* unified and efficient semi-supervised learning framework for stereo matching, A
* Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification, A
* Unified Learning-Based Lossy and Lossless JPEG Recompression
* unified model for the fairness mechanism-based coordinated vehicle route guidance, A
* Unified Multi-Weather Visibility Restoration
* UniG-Encoder: A universal feature encoder for graph and hypergraph node classification
* Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data
* Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data
* Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee, An
* Unrolled iPPG: Video Heart Rate Estimation via Unrolling Proximal Gradient Descent
* Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior
* Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers
* Unsupervised Band Selection Method via Contrastive Learning for Hyperspectral Images, An
* Unsupervised Deep Hashing With Deep Semantic Distillation
* Unsupervised Domain Adaptation with Imbalanced Character Distribution for Scene Text Recognition
* Unsupervised Domain Adaptive Learning for Image Desnowing with Real-World Data
* Unsupervised Domain Adaptive Person Re-Identification with Adaptive Structure Learning
* Unsupervised image transformation for long wave infrared and visual image matching using two channel convolutional autoencoder network
* Unsupervised industrial anomaly detection with diffusion models
* Unsupervised Learning Approach to Resolve Phenotype to Genotype Mapping in Budding Yeasts Vacuoles, An
* Unsupervised Medical Image Translation With Adversarial Diffusion Models
* Unsupervised State Representation Learning in Partially Observable Atari Games
* Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
* Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis
* Unveiling the Influence of Image Super-resolution on Aerial Scene Classification
* UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
* Urban Road Lane Number Mining from Low-Frequency Floating Car Data Based on Deep Learning
* Urban road travel time prediction based on gated recurrent unit using internet data
* Urban Traffic Congestion Level Prediction Using a Fusion-Based Graph Convolutional Network
* Use of Affective Visual Information for Summarization of Human-Centric Videos
* USGG: Union Message Based Scene Graph Generation
* Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios
* Using Classifier Discrepancy for Cross-Domain Image Retrieval
* Using Decoupled Features for Photorealistic Style Transfer
* Using Deep Reinforcement Learning to Automate Network Configurations for Internet of Vehicles
* Using Diffusion Models for Dataset Generation: Prompt Engineering vs. Fine-tuning
* USURP: Universal Single-Source Adversarial Perturbations on Multimodal Emotion Recognition
* UT-GAN: A Novel Unpaired Textual-Attention Generative Adversarial Network for Low-Light Text Image Enhancement
* Utilizing Super-Resolution for Enhanced Automotive Radar Object Detection
* V-shaped neural network structure based on multi-scale features for image denoising
* Variational Deep Atmospheric Turbulence Correction for Video
* Variational Feature Disentanglement for Few-Shot Domain Adaptation
* Variations and Depth of Formation of Submesoscale Eddy Structures in Satellite Ocean Color Data in the Southwestern Region of the Peter the Great Bay
* Vehicle re-identification based on grouping aggregation attention and cross-part interaction
* Vehicle Re-identification Based on Unsupervised Domain Adaptation by Incremental Generation of Pseudo-labels
* Vehicle-Borne Multi-Sensor Temporal-Spatial Pose Globalization via Cross-Domain Data Association
* Vehicular Abandoned Object Detection Based on VANET and Edge AI in Road Scenes
* Vehicular Task Offloading and Job Scheduling Method Based on Cloud-Edge Computing
* VEPL-Net: A Deep Learning Ensemble for Automatic Segmentation of Vegetation Encroachment in Power Line Corridors Using UAV Imagery
* Verb-driven machine reading comprehension with dual-graph neural network
* Vertical vs. Horizontal Fractal Dimensions of Roads in Relation to Relief Characteristics
* VGSG: Vision-Guided Semantic-Group Network for Text-Based Person Search
* Video Question Answering Using Clip-Guided Visual-Text Attention
* Video Sonification to Support Visually Impaired People: The Visavis Approach
* Video Summarization Through Fine-Grained Hierarchical Modeling with Multi-Dimensional Features
* Video Super-Resolution Via Event-Driven Temporal Alignment
* Video-Music Retrieval with Fine-Grained Cross-Modal Alignment
* Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
* View-coherent correlation consistency for semi-supervised semantic segmentation
* View-Normalized and Subject-Independent Skeleton Generation for Action Recognition
* Virtual coupling of permanent magnetic maglev trains: An improved cooperative tracking and collision avoidance control protocol
* Virtual Reality for Emotion Elicitation: A Review
* Visibility-Based R-Tree Spatial Index for Consistent Visualization in Indoor and Outdoor Scenes
* Visible and Infrared Image Fusion Framework Based on Dual-Path Encoder-Decoder and Multi-Scale Discrete Wavelet Transform, A
* Visible-Infrared Person Re-Identification via Cross-Modality Interaction Transformer
* Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition
* Visual and Spatial Context Fusion for Implicit Human Reconstruction
* Visual Interaction Perceptual Network for Blind Image Quality Assessment
* Visualizing Android Malicious Applications Using Texture Features
* Vital information is only worth one thumbnail: Towards efficient human pose estimation
* Viva: a Variational Image Vectorization Algorithm on Dual-Primal Graph Pairs
* VM-NERF: Tackling Sparsity in NeRF with View Morphing
* VOLTCom: A Novel Online Trajectory Compression Method Based on Vector Processing
* WaterFormer: A coupled transformer and CNN network for waterbody detection in optical remotely-sensed imagery
* Wavelet-Based Frequency-Dividing Interactive CNN for Image Classification
* Wavelet-based network for high dynamic range imaging
* Weak Segmentation-guided GAN for Realistic Color Edition
* Weakly Semi-Supervised Oriented Object Detection with Points
* Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning
* Weakly Supervised Disentanglement with Triplet Network
* Weakly Supervised Few-Shot Semantic Segmentation via Pseudo Mask Enhancement and Meta Learning
* Weather Radar Parameter Estimation Based on Frequency Domain Processing: Technical Details and Performance Evaluation
* Web-Based Geodesign Tool for Evaluating the Integration of Transport Infrastructure, Public Spaces, and Human Activities, A
* Weed-Crop Segmentation in Drone Images with a Novel Encoder-Decoder Framework Enhanced via Attention Modules
* Weeds Classification with Deep Learning: An Investigation Using Cnn, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy
* Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising
* Weighted k-Nearest-Neighbors-Based Spatial Framework of Flood Inundation Risk for Coastal Tourism: A Case Study in Zhejiang, China, A
* What Determinants Will Enhance or Constrain the Spatiality of Agricultural Products with Geographical Indications in Northeast China? An Interpretable Learning Approach
* What Drives the Spatial Heterogeneity of Urban Leisure Activity Participation? A Multisource Big Data-Based Metrics in Nanjing, China
* What Modality Matters? Exploiting Highly Relevant Features for Video Advertisement Insertion
* Wheat Yield Prediction Using Unmanned Aerial Vehicle RGB-Imagery-Based Convolutional Neural Network and Limited Training Samples
* When IC meets text: Towards a rich annotated integrated circuit text dataset
* When Visible-to-Thermal Facial GAN Beats Conditional Diffusion
* Widespread Assessment and Open Issues on Image Captioning Models, A
* WiFE: WiFi and Vision Based Unobtrusive Emotion Recognition via Gesture and Facial Expression
* Wifi CSI-based Long-range Through-wall Human Activity Recognition with the ESP32
* Wildfruip: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild
* Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis
* X-Ray Spectral Estimation Using Dictionary Learning
* Xi-Net: Transformer based Seismic Waveform Reconstructor
* YOLO-MAXVOD for Real-Time Video Object Detection
* YOLO-PAI: Real-time handheld call behavior detection algorithm and embedded application
* YOLOMM: You Only Look Once for Multi-modal Multi-tasking
* You Only Need 80k Parameters to Enhance Image: Learning Periodic Features for Image Enhancement
* Zero-Shot Human-Object Interaction (HOI) Classification by Bridging Generative and Contrastive Image-Language Models
* Zero-Shot Hyperspectral Image Denoising With Self-Completion with Patterned Masks
* ZREC: Robust Recovery of Mean and Percentile Opinion Scores
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Index for "2"