2606
* 3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics-Based Appearance-Medium Decoupling
* 5-Minute Water Level Retrieval and Dynamic Responses to Water-Sediment Regulation from GNSS-IR in the Yellow River
* 50 Years of Automated Face Recognition
* 5G-Enabled Cyber-Physical Infrastructure for Intelligent Automotive Battery Management
* Audio-Visual Segmentation (H4)
* Medical Applications, Pelvic Bones, Fracture, Surgery (H3)
* Multi-Modal Object Detection (H3)
* AC-HGL: Heterogeneous graph representation learning through adaptive correlation for stock movement prediction
* Active Defocus Blurring for Background Clutter Suppression in LWIR DoFP Polarimeter
* Adapting Visual Trackers to Dynamic View Transitions With Shift-View Prompt Tuning
* Adaptive and asynchronous integration of gray and white matter fMRI for brain disorder diagnosis
* Adaptive Continual Learning for Online Visual Object Tracking via Dynamic Grassmannian Appearance Modeling
* Adaptive density clustering with differential privacy
* Adaptive Feature Enhancement for SAR-Based Ship Detection
* Adaptive in Adapter: Boosting Open-Vocabulary Semantic Segmentation With Adaptive Dropout Adapter
* Adaptive learning from noisy estimated depth maps benefits monocular RGB-based 3D human pose estimation
* Adaptive Mamba Network Guided by Mixture of Experts for Infrared and Visible Image Fusion
* Adaptive Multi-Scale Lagrange Dynamics Spatial-Temporal Network for 3D Skeleton-Based Human Motion Prediction
* Adaptive Multi-Splitting Multivariate Decision Tree for Multi-Class Classification Applied on High-Resolution and Hyperspectral Remote Sensing Images, An
* Adaptive Sparse Self-Attention for Efficient Image Super-Resolution and Beyond
* Adaptive Weighted Mutual Nearest Neighbor Network With Support-Query Collaborative Feature Reconstruction for Few-Shot SAR Target Classification
* ADC-Net: a deep attention-based framework for preserving fine image details in denoising
* Addressing Imbalanced Modal Incompleteness in Realistic Multi-Modal Medical Image Segmentation via Hierarchical Gradient Alignment
* ADGT: Enhancing 3D human pose estimation with attention-driven graph-transformers
* AdvDiffusion: Adversarial Patches Generation for Face Recognition with High Transferability in Physical Domain
* Affective Touch via Haptic Interfaces: A Sequential Indentation Approach
* AFH-Net: An adaptive feature harmonization network for document image De-warping
* Age Against the Machine: How Age Relates to Listeners' Ability to Recognize Emotions in Robots' Semantic-Free Utterances
* Airborne Laser Scanning and Hyperspectral Data Fusion to Estimate Tree Species Diversity in a Subtropical Forest
* AIRPNet: Adaptive Image Restoration With Privacy Protection in Steganographic Domain
* AITQE: An Adaptive Image-Text Quality Enhancer for Scalable MLLM Pretraining
* Algebraic Geometry Approach to Viewing Graph Solvability, An
* Aligning Few-Step Diffusion Models With Dense Reward Difference Learning
* AlignMamba-2: Enhancing multimodal fusion and sentiment analysis with modality-aware Mamba
* Alignment-Invertibility Regularization for Explainable Neural Networks
* Alpha-aware neural style transfer in RGBA space via soft alpha-guided feature propagation
* AMFDiff: Adaptive multi-scale fusion diffusion model for image super-resolution
* AMG: Attention Triple-Mask-Guided Screen-Shooting Resilient Watermarking
* Analogy-Augmented Uncertainty-Aware Monocular Visual Odometry
* Analysing Virtual Labs Through Integrated Multi-Channel Eye-Tracking Technology: A Proposal for an Explanatory Fit Model
* Analysis of Situational Acceptance and Objective Indicators During Automated Driving: A Driving Simulator Study
* Analytic personalized federated meta-learning
* Analyzing Emotions and Engagement During Cognitive Stimulation Group Training With the Pepper Robot
* AnatoDiff: Synthesizing Anatomically Truthful Radiographs With Limited Training Images
* Anchor node guided global-local graph neural networks for multimedia recommendation
* Anomaly-aware transitions for reward-free offline imitation learning
* AnxietyFaceTrack: A Smartphone-Based Non-Intrusive Approach for Detecting State Anxiety Using Facial Features
* APCA-Net: Adaptive Patch-Correlation Attention Network for Vision-Based Human Hand Acupoint Detection in Acupuncture
* APNet: Accurate Prompting Network With Modality Guidance and Structural Awareness for RGB-D Semantic Segmentation
* Appearance-Based Gaze Estimation as a Benchmark for Eye Image Data Generation Methods
* AppleVLM: End-to-End Autonomous Driving With Advanced Perception and Planning-Enhanced Vision-Language Models
* ARNet: A visual reasoning framework for recovering traversable areas under anomalies in agriculture
* ASNet: An adaptive scene-aware network for RGB-thermal urban scene semantic segmentation
* Assessing the Representation of Suicidal Ideation in Social Media Datasets Relative to Suicide Notes
* Assessment of Distraction and the Impact on Technology Acceptance of Robot Monitoring Behaviour in Older Adults Care
* Assistive Technologies for Interaction and Emotion Recognition in Caregiver-Infant Dyads
* Asymmetric Frequency-Decoupled Network for Robust Visible-Infrared Fire Detection
* ATD: Improved Transformer With Adaptive Token Dictionary for Image Restoration
* AtmosOceanNet: SST forecast method driven by atmospheric-oceanic multimodal data
* Attention-Emotion Assessment of ASD Children via Representation Learning Based on Cross-Modal Disentanglement and Attention Alignment
* Attention-guided knowledge distillation based deep multiple instance learning for gigapixel whole slide image analysis
* Attribute-Guided Semantic Alignment With Pre-Trained Foundation Models for Vehicle Detection
* Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
* Audio-visual saliency prediction based on joint adversarial learning and Co-Attention mechanism
* Automated Graph-Based Path Planning for Navigating Maritime Traffic
* Automated Parkinson's Disease Detection System Using FBSE-FAWT-Based Time-Frequency Representation of Speech Signals
* Automatic Tree Species Identification in a Cold Temperate Natural Broadleaf Mixed Forest Using High-Resolution UAV Imagery and Mask R-CNN
* Autoregressive Steady-State Compensation Method for Cross-Correlation Interference Suppression in GPS-Based Passive Radar, An
* AUV intelligent perception for underwater surveillance using complete underwater imaging model
* Auxiliary Information Flow for 3D Industrial Defect Detection on IC Ceramic Package Substrate Surfaces: Dataset and Benchmark
* AV2TS: A Multivariate Time Series Modeling Framework for Audio-Visual Segmentation
* AVQACL++: Toward a Robust Framework and Benchmark for Audio-Visual Question Answering Continual Learning
* Axon Diameter Mapping From Myelin Water Diffusion MRI
* Balancing framework: Enhanced performance through contrastive masked encoders and gradient feature
* Balancing tails when comparing distributions: Comprehensive equity index (CEI) with application to bias evaluation in operational face biometrics
* Bayesian Fully-Connected Tensor Network for Hyperspectral-Multispectral Image Fusion
* Bayesian importance-weighted support vector data description
* BDTSNet: A novel bidirectional two-stream network for video-based human action recognition
* BeltCrack: The first sequential-image industrial conveyor belt crack detection dataset and its baseline with triple-domain feature learning
* Benchmarking Object Detection and a Novel Self-Supervised Framework for Weed Detection in Soybean
* Benchmarking real-world medical image classification with noisy labels: Challenges, practice, and outlook
* Benchmarking Semantic Segmentation Models via Appearance and Geometry Attribute Editing
* Beyond action units: Towards multi-cue facial emotion analysis
* Beyond Heat Dissipation: Optimizing Diffusion Models in Frequency Domain
* Beyond single and earthbound: Exploring multi-image grounding in remote sensing with Large Vision-Language Models
* BHGraphAdapter: Parameter-Efficient VLMs Tuning Meets Hyper-Graph Learning
* Bi-CFNet: A Multi-Task Audiovisual Framework With Visual Enhancement and Cross-Feedback for Depression Detection
* Bi-Temporal Benefits: Progressive Spectral-Spatial-Temporal Feature Extraction for Hyperspectral Image Classification
* Biases in Aerial Video-Based Vehicle Trajectory Generation: An Empirical Evaluation
* Bidirectional Fusion and Adaptation Network for Pedestrian Detection in Urban Scenes
* Bidirectional regression for monocular 6DoF head pose estimation and reference system alignment
* Bidirectional Temporal-Sensitive Adaptation for Generalized Zero-Shot Temporal Action Localization
* Biomechanics-Informed Non-Rigid Medical Image Registration With Elasticity Theories
* BiTAA: A Bi-Task Adversarial Attack on 3D Gaussian Fields for Cross-Task Perception
* Blind S-3D VR picture quality prediction using trivariate brightness, color, and disparity statistics
* BMCF-Net: A Bi-Temporal Multimodal Cross-Fusion Network for Precise Segmentation of Coastal Aquaculture Areas
* Body in Affective Robotics: A Survey and Conceptual Positioning Using the Performing Arts as a Scaffold for Understanding Bodily Expressed Emotion, The
* Boosting cross-domain semi-supervised medical image segmentation with internal and external regularizations
* Boosting Video Object Segmentation With Discriminative Core Features and Adaptive Position Refinement
* Bound on RIP of Order s+1 for HTP Algorithm
* Brightness-Aware Synthetic-to-Real Learning for Nighttime Hazy Image Enhancement
* Building Extraction Network with Gated Mamba-CNN and Wavelet-Based Boundary Enhancement
* C&D-CLIP: Cascaded decoder and deep cross visual prompt tuning for zero-shot semantic segmentation
* CAIR-Net: Reliability-Aware Information Routing for Robust Multimodal Object Detection Under Modality Degradation
* Calibrating Biased Distribution in VFM-Derived Latent Space via Cross-Domain Geometric Consistency
* Camouflaged object detection based on edge screening and cross-layer fusion
* CARVE: Content-Adaptive Rate-Variable Encoding for Neural Speech Codecs
* Causal Prompts for Open-Vocabulary Video Instance Segmentation
* CCMamba: A Multi-Head Criss-Cross Mamba for Pavement Crack Segmentation
* CD-HCP: A Heterogeneous Cooperative Perception Framework Utilizing Cross-Modality Dual-Attention
* CFP-DETR: Collaborative Feature Purification Network with Spatial Alignment for Aerial Small Object Detection
* CFSDBN: Emotion Recognition via Channel Feature Selection and Dynamic Brain Network
* Change detection in hyperspectral and radar/multispectral images using an unmixing-based multivariate manifold estimation
* Channel-Independence for Traffic Forecasting: A Cascaded Spatio-Temporal MLP Framework
* Characteristics of the Wind Field and Low-Level Jets in the Middle and Lower Troposphere over Chengdu, Southwest China
* Characterization of Deformation Driven by the South-to-North Water Diversion and Extreme Rainfall Along the Taihang Piedmont Using Time-Series InSAR
* Characterizing Global Methane Point-Source Emission Structures from Multi-Source Satellite Data and National Inventories: Implications for Differentiated Mitigation Pathways
* Class Knowledge-Guided Lightweight Network for Salient Object Detection of Strip Steel Surface Defect
* Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning
* Clean and consistent MLS point clouds from the start: Moving-object removal coupled with LIDAR-inertial odometry for urban scenes
* CLIP-Actor-X: Text-Driven 4D Human Avatar Generation via Cross-Modal Synthesis-Through-Optimization
* CLIP-Based Class Incremental Semantic Segmentation Framework With Generalization-Preserving Knowledge Distillation
* Cloud-Aware Dual-Path Prompt Learning with CLIP for Few-Shot Fine-Grained Ship Classification in Mixed-Sky Remote Sensing Imagery
* CM-PIUG: Cross-modal prompt injection unified modeling and game-theoretic defense strategies
* CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion Recognition
* CMD^3: Cross-Modal Decoupled Deformable Distillation for EEG-fNIRS Fusion
* CNProp: Contrastive negative pairing and self-refining label propagation for semi-supervised learning
* Co-Boosting++: Coupled Optimization of Data and Ensemble for One-Shot Federated Learning
* CO3+: Improved Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning
* Coarse Labels Matter: Revisiting the Role of Coarse-Grained Supervision in Fine-Grained Learning
* Codebook Transfer With Vision-to-Language Translation for Vector Quantization
* Cogformer: A Unified Multi-Scale Brain Representation for Visual Decoding and Reconstruction From fMRI
* Cognition-Guided Coupled Learning for Camouflaged Object Detection
* Collaborative Feedback Discriminative Propagation for Video Super-Resolution
* Collaborative Model and Data Adaptation at Test Time
* Collaborative Relay Tracking Method Incorporating Larger-Scale Spatial Context for UAVs, A
* Collaborative Signal Fusion Network for Crowd Counting in Smart City Systems
* Collision-Free Cooperative Control for Heterogeneous Multi-Vehicle Systems With Connectivity Preservation: A Path-Guided Solution
* CoMasTRe+: Unleashing Disentangled Continual Segmentation With Mixture of Continual Adapters
* Combined change detection analysis of the impacts resulting from heavy rainfall events in mountainous areas
* COMBINER: Composed Image Retrieval Guided by Attribute-Based Neighbor Relations
* Combining Eye-Tracking Technology and Subjective Evaluation to Determine Building Facade Color Combinations and Visual Quality
* Combining Neural Empathy-Aware Behavior Trees With Knowledge Graphs for Affective Human-AI Teaming
* Compactness driven Co-learning for crowd counting and localization
* Comparative Analysis of Orographic Cirrus Clouds over Major Mountainous Regions Using Satellite Observations
* Comparative Assessment of Accuracy in Video-Based Monocular Human Pose Estimation Frameworks, A
* Comparative Evaluation of Machine Learning Models for Satellite Chlorophyll-a Gap Reconstruction in the Chesapeake Bay
* Comparative Study of Deep Learning-Based QPE Correction Models for X-Band Phased-Array Radar, A
* Comparison of Lightweight Deep Neural Networks for Landsat Time-Series Land Use and Land Cover Classification over the Conterminous United States
* Competitive firm prediction: A novel heterogeneous graph sampled weighted attention network
* Complementary Text-Guided Attention for Zero-Shot Adversarial Robustness
* Complete Solution to Generalized Relative Pose Estimation From Affine Correspondences, A
* Compositional Text-to-Image Synthesis With Training-Free Layout-Guided Diffusion
* Comprehensive Study of Estimating Atmospheric Cloud Microphysical Properties Using Deep Learning Techniques, A
* Compressive self-attention transformer for low-light enhancement and zero-element pixels restoration
* Computed Quantitative Planar Imaging for Targeted Alpha Therapy: Model-Based Sparse Reconstruction Validated With a Novel 225Ac Epoxy Phantom
* Connected Subgraph-Based Heuristic Conflict-Free Association for Multi-Drone
* Connection Center Evolution and Local Similarity-Based Data Gravitation Integrated Classification Model for Effective Classification of Hyperspectral Images
* Consistent and Controllable Image Animation With Linear Motion Diffusion Transformers
* Constraint Relaxation Co-Evolutionary Algorithm for the Two-Echelon Vehicle Routing Problem With Load-Dependent Drones, A
* Constraints-Enhanced Resilient Estimation Against Random Sensor Failures and Colored Measurement Noise
* Continual graph learning: A survey
* Contrastive Decoupling: Dynamic Regularization for Enhanced Fine-Grained Image Classification
* Contribution Analysis of Soil Erosion and Future Sustainable Management Zoning in the Wuding River Basin (2001-2024)
* COP: CrOss-View Attention Prompt for Zero-Shot Sketch-Based Image Retrieval
* Correlation-Guided Recursive Pyramid Network for Deformable Brain MRI Registration
* CosineOpt: Optimization-Based Centralized Cooperative Speed Planning for Multiple CAVs Along Intersected Fixed Paths
* Count2Density: Crowd density estimation without location-level annotations
* Coupling Coordination Between Urban Development and Eco-Environment in Chinese Coastal Cities: A Multisource Remote Sensing-Based Assessment
* Covariate-Guided Graph Attention Network for Depression Recognition via Pure Facial Movements, A
* Cover Selection Method for JPEG Steganography
* Coverless Image Steganography Technique Based on Multi-Object Mapping Rules, A
* CPC-YOLO: Lightweight Framework for Small Ship Detection in SAR Images
* Creating an Affective Robot That Feels Both Touch and Emotion
* Cross-domain feature interaction enhancement network for underwater image enhancement
* Cross-modal hashing under the federated learning framework
* Cross-Modality Spectral Expansion Combined with Physical-Semantic Dual Priors for Cloud Detection in GF-1 Imagery
* Cross-plane color image encryption based on two-dimensional sine-henon map and genetic algorithm
* CSACE-Net: Cross-Modal Semantic Attention Co-Enhancement for video captioning
* CSP: Channel and Space Pruning for Compressing Deep Convolutional Neural Networks
* Curiosity and Affect-Driven Cognitive Architecture for HRI
* Curriculum-Meta learning for unbiased Multimodal Relation Extraction
* Curved Megathrust Geometry and Locking Heterogeneity Contributed to the Rupture of the 2025 Mw 8.8 Kamchatka Earthquake, as Inferred from Geodesy and Seismic Data
* CWEFS: Brain Volume Conduction Effects Inspired Channel-Wise EEG Feature Selection for Multi-Dimensional Emotion Recognition
* D2S-RSG-SSD: Dual Double-Sampling With Random Sub-Samples Generation for Self-Supervised Real Image Denoising
* DA2-LiDAR: A Generic Density-Adaptive Framework for Unsupervised Domain Adaptation in LiDAR Segmentation
* DARE-YOLO: A small object detection network for UAV scenarios via feature enhancement and dynamic multi-scale fusion
* Darwinian Wiring: A Connectome-Constrained Structural Plasticity Framework for Extreme Model Compression
* database and model for the PM2.5 concentration measurement with visible and infrared imaging, A
* DBFNM: Dual-Branch Fusion Network With Mamba Decoder for Indoor Depth Completion
* DCNet: Learning Similarity and Spatial Complementary Features for Generalized AI-Generated Image Detection
* Dealing with downward recompression for robust steganography in high quality JPEG images
* Decade-Long Photometric Observations of Light Pollution and Cloud Effects on Night Sky Brightness in Hong Kong
* Decoding Engagement: Exploring the Influence of Social Communication Cues in Human-Robot Conversational Scenarios
* Decouple, Reorganize, and Fuse: A Multimodal Framework for Cancer Survival Prediction
* Decouple-Then-Synergize: A Self-Paced Collaborative Learning Network for RGB-T Snowy Urban Scene Parsing
* Dedicated Lightweight Network with Synergistic Attention for Precise Air-to-Air UAV Detection, A
* Deep Activity Model: A Generative Deep Learning Approach for Human Mobility Pattern Synthesis
* deep and shallow Adaptive Feature Fusion Method for Image Stylization via Adversarial Learning, A
* Deep Distance Weighted Sampling Hashing for Cross-Modal Retrieval
* Deep Feature Fusion with Vegetation Indices for Wheat Lodging Monitoring Using UAV Multi-Spectral Imagery
* Deep Image Prior-Incorporated Direct PET Parametric Image Reconstruction
* Deep Leaning-Based Channel Estimation for RIS-Assisted Full-Duplex MIMO System With Hardware Impairments
* Deep learning-based underwater species recognition: Advances, benchmarks and challenges
* Deep learning-driven authentication and forgery detection methods for oil paintings
* Deep Robust Reversible Watermarking
* Deep semantic channel hashing for large-scale image retrieval
* DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction
* Degradation-Adaptive Denoising: Aligning Diffusion Models With Physics of Video Snapshot Compressive Imaging
* Deployment Prior Injection for Run-Time Re-Biasable Object Detection
* Depth-guided attenuation compensation for real-time color restoration in deep-sea stereo imaging
* Derived Topic Propagation Model Based on Topic Relevance and User Sentiment
* Design and Analytical Validation of Key Parameters for the Black Soil Monitoring Satellite Linshi-1
* Design of Informational and Promotional Messages by Cooperative Banks and Their Perception Among Young Consumers: An Eye-Tracking Analysis Versus Conscious Identification Based on Empirical Research, The
* deterministic information bottleneck method for clustering mixed-type data, A
* Development and Modeling of a Soft Array Actuator for Elderly Assistive Robotic Exoskeleton
* Deviation-guided dual-model machine learning SAR coherence change detection framework for extracting changes in low-coherence areas
* DF-Net: Dual-fidelity enhancement network for low-light images
* DFormer++: Improving RGBD Representation Learning for Semantic Segmentation
* DGNNF: Dynamic Graph Neural Network Fusion for 3D object detection
* DGR-MAE: Posterior Semantic Correction Masked Autoencoder for Fine-Grained Aircraft Recognition Under Cloud Occlusion
* DHPT: Dual-Modality Heterogeneous Prompt Tuning for Online Test-Time Adaption in Vision-Language Models
* DHR2-Net: A Dual-Hierarchical Relational Reasoning Framework for Surgical Action Triplet Recognition
* DiCLIP: Diffusion Model Enhances CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation
* Diff-magnifier: Utilizing state space model for diffusion processes in breast tumor pathological image super-resolution and classification
* DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds
* Differential Game With Motor Intent Prediction for Diverging Human Motion Plan
* Diffusion Models and Representation Learning: A Survey
* Digital Twin-Based Trajectory Planning and Feedforward-Feedback Control for an Autonomous Vehicle on Urban Roads
* Dimensionality Reduction with Classification for Hyperspectral Images Using Multi-Scale Spectral-Spatial Discriminative Model
* Discovery of Peripheral Airway Beyond Incomplete CT Annotations for Navigational Bronchoscopy
* Discrete Grid-Based Approach for Efficient Near-Optimal Coverage Selection in a Large-Scale Remote Sensing Image Dataset, A
* Disentangled Instrumentalization Learning for Dialogue Emotion Detection
* Disentangled Multi-Modal Learning of Histology and Transcriptomics for Cancer Characterization
* Disentangling Consistent and Specific Information for Double Incomplete Multi-View Multi-Label Classification
* Disentangling Management and Climate Drivers in an Anthropogenic Transitional Mediterranean Coastal Groundwater-Dependent Ecosystem
* Distillation-SAM: Knowledge Distillation-Based Auto-Prompt Embedding Learning for Surgical Image Segmentation
* Distinct but Likely Interdependent Roles of Secondary Organic and Inorganic Aerosol Formation in Aerosol Scattering
* Distributed Deep Point Cloud Feature Compression for Vehicle-to-Vehicle Cooperative Perception
* Distributed Game-Based Joint Task Offloading Over UAV-Assisted Inland Waterways Edge Networks
* Distributed NN Resilient Control for Nonlinear Vehicular Platoons Against to Deception Attacks and Actuator Faults
* Distribution-Aware CLIP-Adapter with Fine-Grained Text for Few-Shot Fine-Grained Classification
* Diving Into Epipolar Transformers for Light Field Super-Resolution and Disparity Estimation
* DLG-GS: Dynamic Lighting-Aware Real-Time 3D Gaussian Splatting for Weak-Texture Tunnel Scenes
* DMFusion: Degradation-Customized Mixture-of-Experts With Adaptive Discrimination for Multi-Modal Image Fusion
* DMSAA-SLAM: RGB-D SLAM for dynamic scenes via diffusion self-attention
* DNGaussian++: Improving Sparse-View Gaussian Radiance Fields With Depth Normalization
* DNMFNet: Unsupervised deep feature extraction for hyperspectral image classification with limited labels
* Domain adaptation for remote sensing image semantic segmentation with prototype-driven domain disentangle alignment
* Domain-generalizable face anti-spoofing with patch-based multi-tasking and artifact pattern conversion
* Doracamom: Joint 3D Detection and Occupancy Prediction With Multi-View 4D Radars and Cameras for Omnidirectional Perception
* DOSTA-Net: Domain-Shuffle Temporal Attention Network for Vessel Extraction in X-Ray Coronary Angiography Using Synthetic Data
* DOtA++: Unsupervisely and Collaboratively Detect Objects from Multi-Agent Observations With Multi-Modal Prior Constraints
* Downsampling Shuffle Transformer for Underwater Image Enhancement
* DPGNet: Dual Prior Guided Network for Surgical Instrument Segmentation
* DREAM: A Benchmark Study for Deepfake PhotoRealism AssessMent
* Driver Attention Area Recognition With Enhanced Generalizability and Efficiency Based on Improved Kalman Filtering and Transformer
* Driver's Perceived Risk Prediction Method Based on Semisupervised Learning Strategy
* DrivingGaussian++: Toward Realistic Reconstruction and Editable Simulation for Surrounding Dynamic Driving Scenes
* DS3: Dual-space sample selection for speaker representation learning with noisy labels
* DSA-GNN: Optimizing long-tail in graph structures via degree suppression with attention
* DSFFNet: Multimodal Medical Image Fusion Based on Dual-Stream Feature Fusion Network
* Dual Knowledge Distillation Framework With Class-Adaptive Temperature and TopK Feature Perturbation for Few-Shot Prompt Learning
* dual residual transformer architecture for indoor semantic occupancy prediction, A
* Dual Visual Prompting With Context-Modulated Diffusion Prompts
* Dual-attention cooperative and multi-view gated transformer for adverse weather removal
* Dual-Branch CNN with Depthwise Separable Fusion for Hyperspectral Image Classification, A
* Dual-Branch Feature Decoupling GAN with Wavelet Constraint for Azimuth-Controllable SAR Image Simulation
* Dual-Channel Retrieval-Augmented In-Context Learning for Comparative Opinion Mining
* Dual-Mode Platoon Control for Connected and Automated Vehicles at Signalized Intersection in Energy-Heterogeneous Mixed Traffic Flow
* Dual-Reliable Contrastive Fusion for Multi-View Clustering
* Dual-stream frequency-domain framework with contextual graph enhancer and consensus-difference fusion for cross-view geo-localization
* DWSFusion: Dual weight supervision for lightweight infrared and visible image fusion
* Dynamic and Consistent Doubly Stochastic similarity learning for multi-view and multi-order clustering
* Dynamic Event Triggered Adaptive Intelligent Prescribed Performance Control for Vehicle Platoon System Under Switching Topology and FDI Attacks
* Dynamic Factor Precision in Gaussian Belief Propagation: A Tracking Use Case
* Dynamic High-Frequency Convolution for Infrared Small Target Detection
* Dynamic interactive fuzzy operations for information preserving multi-exposure image fusion
* Dynamic patch-level contrastive learning for image dehazing
* Dynamic Registration-Based Photoacoustic Endoscopic Temperature Imaging for Precision Interventional Thermal Therapy and Monitoring
* Dynamic-Aware Enhanced Data Augmentation for Light Field Super-Resolution
* Dynamic-static feature fusion and multi-level interaction reasoning for group activity recognition
* EARL: Embracing amnesic replay for learning with noisy labels
* Early Detection of Geohazards in Alpine Regions Using Seasonally Partitioned InSAR: A Case Study of the Eastern Himalayan Syntaxis
* Early Fire Detection with Higher Sensitivity and Timeliness: Porting the RST-FIRES Algorithm to Rapid Scan Geostationary Data
* Early season detection of early blight (Alternaria solani) in potato crops using airborne hyperspectral imagery
* Edge AI Inference in ISCC Networks: Sensing Accuracy Analysis and Precoding Design
* EdgeFusionNet: Edge information-guided small object detection for remote sensing images
* Editorial: The Rise of Affective Computing: Challenges and Opportunities
* Educational Human Machine Interface Providing Request-to-Intervene Trigger and Reason Explanation for Enhancing the Driver's Comprehension of ADS's System Limitations, An
* EEG-Based Emotion Classification Using Deep Capsule Networks for Subject-Independent and Dependent Scenarios
* EEGTune: A data-efficient fine-tuning framework for EEG foundation models
* Effect of Stimulus Regularities on Eye Movement Characteristics
* Effects of Time and Posture Factors on Handwriting Features of Dynamic Signature
* Efficient and robust kernel learning with class-wise privileged information for pattern classification
* Efficient Context-Aware Traffic Trajectory Monitoring From Roadside LiDAR for Occlusion Handling
* efficient deep unfolding approach for snapshot compressed imaging of motion videos, An
* Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics
* Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3-D Object Detection
* Efficient Multi-Instance Generation With Janus-Pro-Driven Prompt Parsing
* Efficient Near-Field Millimeter Wave Imaging Based on Spatio-Temporal Adaptive Synergistic Constraint
* efficient network with dual-path feature enhancement and dual-attention bottlenecks for spatial image steganalysis, An
* Efficient Point Cloud Processing With High-Dimensional Positional Encoding and Non-Local MLPs
* Efficient Tensor Decomposition Scheme for Large-Scale Spectrum Environment Data Processing, An
* EfficientCovNet: Modeling the Pairwise Voxel Dependency for Brain ROI Segmentation
* EFGNet: Efficient filter guided network for dense pedestrian detection
* EFI-YOLO: An enhanced framework for industrial object detection
* Embedded Multi-View Clustering via Fusing Tensor Subspace Representation and Adaptive Graph Learning
* EMFFTrans: Efficient Multi-Scale Feature Fusion Transformer for Road Scene Semantic Segmentation
* Emo-DiT: Emotional Speech Synthesis With a Diffusion Model Approach to Enhance Naturalness and Emotional Expressiveness
* EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation
* EmoKEG: Knowledge-enhanced heterogeneous graph for emotion recognition in conversation
* EmoRAct: A neuro-symbolic framework coupling acoustic tokens with prosody semantics for emotion recognition
* EmoSENSE: Modeling Sentiment-Semantic Knowledge With Hierarchical Reinforcement Learning for Emotional Image Generation
* Emotion Alignment in Human-Robot Interaction: Effects on Communication Styles and Persuasion
* EmotionVibe: Human Emotion Recognition Through Footstep-Induced Floor Vibrations
* Emphasizing crucial features for efficient image restoration
* Empirical Polarization Distribution Models for Use in CLARREO Pathfinder-VIIRS Intercalibration
* Empirical Study on Fusion Strategy in RGB-T Salient Object Detection
* EMWMS-YOLO: Efficient Multi-Scale Detection Framework for Small Objects in Challenging Remote Sensing Scenes
* Enabling Real-Time Imaging and Onboard RFI Localization for Three-Level Quantized Microwave Interferometric Radiometers
* Energy-Efficient Lyapunov-Based Cooperative Adaptive Cruise Controller for Electric Vehicles, An
* Energy-Efficient Spiking Spectral-Weighting Reconstruction Network for Compressive Hyperspectral Imaging
* Enhanced chaotic assisted vision encoder Twin-Net model for cultural heritage image reconstruction
* Enhanced daily retrieval of Evapotranspiration from a Transformer-based deep learning model combined with satellite passive microwave and optical observations
* Enhanced Frequency Estimation for Radar Altimetry via Multi-Cycle Triangular FMCW and Clustering-Based Processing
* Enhanced Image Feature Extraction and Matching Method for Three-Dimensional Reconstruction of Forest Scenes, An
* Enhanced mass and architectural distortion detection in digital breast tomosynthesis via cross-slice weighted box fusion
* Enhanced Ship-Speed Prediction Model With Stacking Ensemble Learning, An
* Enhanced transformer with integrating weight-masked CNNs for robust hyperspectral anomaly detection
* Enhanced Video Super-Resolution Method Using U-Net-Based Spatial Transformer Module
* Enhancing 3D medical multi-modal large language models with integrated human body priors for computed tomography
* Enhancing Auditory Brainstem Response Extraction From Noised EEG With Adaptive Kalman Denoising Technique
* Enhancing Directional Wave Spectra Retrieval from Sentinel-1A SAR Wave Mode Under Strong Cut-Off Distortions via Prior-Knowledge-Integrated Machine Learning
* Enhancing Electric Vehicles Charging Service Through Mixed Charging: A Two-Stage Distributionally Robust Optimization Model
* Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation
* Enhancing Multi-View Clustering: A Sufficient Information-Theoretic Approach for Consistency Acquisition and Redundancy Elimination
* Enhancing Navigation Through Natural Sensory Mappings: A Cross-Modal Approach
* Enhancing Pedestrian Safety Through Automated Emergency Steering: Design and Experimental Validation of a Risk-Based Architecture
* Enhancing the Precision of Land Surface Temperature Retrieval in Egypt Through Intermediate Parameter Optimization
* Enhancing Vision Transformer With Shift Expansion Linear Attention for Image Classification and Object Tracking
* Enhancing Zero-Shot Adversarial Robustness of Vision-Language Models With Training-Free Adaptive Feature Movement
* Escaping Swamps Through Complex Space for Real Canonical Polyadic Decomposition
* Euler Deconvolution of Magnetic Anomalies over Undulating Terrain Using an Equivalent Source Method Based on Correlation Imaging and Improved DBSCAN
* Evaluating and Correcting Human Annotation Bias in Dynamic Micro-Expression Recognition
* Evaluating Pupillometry as a Tool for Assessing Facial and Emotional Processing in Nonhuman Primates
* Evaluating the Influence of Pseudo Tree Crown (PTC) Input Alternatives for Machine Learning and Deep Learning Models on Individual Tree Classification Performance
* evaluation framework for generative face-editing methods: Quality, identity and disentanglement, An
* Evaluation of Global and High-Resolution Canopy Height Models for Forest Monitoring and Disturbance Detection: From GEDI Footprint to Deep Learning High-Resolution Mapping
* Event-Based Motion Deblurring via Multi-Temporal Granularity Fusion
* Evolutionary Process-Embedded Spatiotemporal Interpolation Method for Marine Environmental Fields, An
* Explainable visual emotion recognition via modular reasoning
* Explanation-guided backdoor defense for ID and OOD attacks in graph neural networks
* Exploring Spontaneous Facial Micro-Expressions in On-Road Driver Behavior
* Extremely degraded face image super-resolution based on high frequency attention and noisy facial priors
* Eye Movement Parameters in Children with Reading Difficulties
* Eye-Tracking Study on Text Comprehension While Listening to Music: Preliminary Results, An
* F2FNet: An Efficient Affective State Analysis Network Reconstructing EEG From Few-Channel to Full-Channel
* F2Mamba: Forgery-Guided Vision Mamba With Multi-Scale Frequency Perception for General Image Forgery Localization
* F3-SD: Focal feature fusion with self-distillation on large vision-language models for cross-modal retrieval
* FaceEditor: Text-Driven and Mask-Constrained Face Attribute Editing
* Faces of the Mind: Unveiling Mental Health States Through Facial Expressions in 11,427 Adolescents
* Facial 3D Regional Structural Motion Representation Using Lightweight Point Cloud Networks for Micro-Expression Recognition
* Fair face forgery detection via cross-domain decoupling and entropy-adaptive enhancement
* FAME: Frequency and motion extrapolation for robust multimodal facial action unit detection
* FANet: Fovea Attention Network for Robust Aerial Geo-Localization Across Diverse Weather Conditions
* Fast and Effective Video Inpainting via Implicit Motion-Guided Propagation and Sparse Attention
* Fast Decision Making in Human-Machine Interaction Through Estimation of Human Reaching Intent
* Fast online learning algorithm based on modified hierarchical Unimodal Thompson Sampling
* FDRM-Net: A Mamba structure for single image deraining with frequency guidance
* FDSNet: Frequency-Decoupled Stack Fusion Network for Light Field All-in-Focus Image Generation
* Feature Compression for Cloud-Edge Multimodal 3D Object Detection
* Feature selection via anchor weight graph guided minimizing between-class similarity
* Feature-Level Framework for Evaluating Demographic Biases in Facial Expression Recognition Models, A
* FedG2: Cross-domain federated graph learning via dual graph matching
* FedRSL: Representation Subspace Learning in Model-Heterogeneous Federated Learning
* Feedforward Compression of Static and Streamable 3D Gaussian Splatting
* Few-Shot Action Recognition via Intra- and Inter-Video Information Maximization
* Few-Shot Contrastive Learning for Cross-Task Stroke Prognosis Prediction with Multimodal Data
* Few-Shot Pulmonary Vessel Segmentation Based on Tubular-Aware Prompt-Tuning
* Fine-Grained and Granularity-Dynamic Framework for Referring Remote Sensing Image Segmentation
* Fine-grained conditional inpainting diffusion for component-aware face makeup rendering
* Fine-Grained EEG Emotion Recognition Using Lite Residual Convolution-Based Transformer Neural Network
* Fine-Grained Emotion Adaptive Alignment Network for Image Emotion Distribution Transfer
* Fine-Grained Feature-Driven Incomplete Multi-Modal Hashing
* Fine-grained mutual geometric features enhanced human-object interaction detection
* Fine-grained normal estimation via feature-augmented knowledge transfer
* Fine-Grained Ship Classification of Remote Sensing Images Based on Class Discrepancy Learning Network
* Fine-grained sparse attention transformer to enhance electronic nose detection performance
* Fine-tuned Whisper-based semantic-temporal aggregation networks for sound event classification
* FineG-RAG: Fine-Grained Retrieval-Augmented Generation for Multimodal Large Language Models
* FiR-Rad: Fine-Grained Reinforcement With Structured Reasoning for Chest X-Ray Report Generation
* First Relative Sea Level Rise and Storm Surges Scenarios up to 2150 CE for the Coasts of Monterosso and Vernazza, Cinque Terre National Park (Liguria, Italy), The
* FIST: Frequency information in spatio-temporal tracking network for motion blur
* FLEX-MoCo: Flexible MRI motion correction using motion recognition and adaptive routing
* Flexible-Weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion
* FLKFormer: Frequency-Enhanced Large-Kernel Framework for Object Detection in UAV Imagery
* FlowTurbo: Accelerating Flow-Based Image Generation Models via Multi-Stage Refinement
* Focus-then-fusion: Learning discriminative cross-modal prototypes for few-shot classification
* FoodDiff: A Collaborative Relationship Perception Framework for Food Image Synthesis Using Diffusion Models
* Forgery-Aware and Edge-Guided Diffusion Model for General and Robust Image Forgery Localization
* Forward Scatter Radar Moving Target Detection via Linearly Weighted Time-Frequency Entropy
* FPS: Frequency prompt synchronization for micro-expression recognition
* FPZNet: Fuzzy Perception Zero-Shot Learning for Infrared and Visible Image Fusion
* FracMix: A Fractional Fourier Based Augmentation for Generalizable Person Re-Identification
* Frame-Theoretic Approach to Robust Filter Pruning in Convolutional Neural Networks, A
* FreeSplat++: Generalizable 3D Gaussian Splatting for Efficient Indoor Scene Reconstruction
* Frequency-driven lattice network for lightweight super-resolution under low-computation constraints
* Fresh Look at Generalized Category Discovery Through Non-Negative Matrix Factorization, A
* From Contrast-Driven Segmentation to Central Lumbar Spinal Stenosis Grading: A Comprehensive Multi-View Spinal MRI Image Analysis
* From Landslide Detection to Multi-Source LLM-Based Reporting: A Complete Framework for Rapid Assessment of Post-Disaster Scenarios
* From Local Training to Large-Scale Mapping: A Comparative Assessment of Machine Learning and Deep Learning for Transferable Satellite-Derived Bathymetry
* From Satellites to Safety: An Open-Source SBAS Workflow for Ground Deformation Monitoring
* From the Lab to the ICU: Video-Based Facial Pain Assessment Using a Differential Multiple Instance Learning Network
* FSAPF: A De-Scattering Framework With Stepwise Adjustment of Polarization Features
* FTransMamba: A multi-stage fusion transformer and mamba modeling for multimodal remote sensing scene understanding
* FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation
* Full Life-Cycle Evolution and Prediction of Surface Deformation in Old Goafs of Strip Pillar Mining Areas Revealed by Long-Term SBAS-InSAR
* Fuse only what matters: Degeneracy-aware multi-sensor fusion for LiDAR-Inertial-Visual SLAM
* FY-4B/GIIRS AVP Weak-Constraint-Enhanced GNSS Water Vapor Tomography over Hong Kong
* GAA-TSO: Geometry-Aware-Assisted Depth Completion for Transparent and Specular Objects
* GarmentRec: Towards Individual Garment Reconstruction From a Monocular Human Image
* gated feature fusion model for entity recognition in open-source intelligence, A
* Gaussian Prior-Guided Pseudo Mask Generation for Point-Supervised Infrared Small Target Detection
* Generalizable Occlusion-Aware Human Novel View Synthesis From Image Pairs
* Generalization Properties of Robust Learning With Random Features
* Generalized Closed-Form Solution for Magnetic Dipole Source Localization with Total-Field Magnetometers, A
* Generalized Distribution Aggregation Protocol for Federated Statistical Heterogeneity
* Generalized Integer-to-Integer Invertible Color Mapping via the ULU0 Factorization
* generative multimodal network for facial expression recognition, A
* Geographically-weighted weakly supervised Bayesian High-Resolution Transformer for 200 m resolution pan-Arctic sea ice concentration mapping and uncertainty estimation using Sentinel-1, RCM, and AMSR2 data
* Geolocation-Corrected UAV-GEDI Bridging Samples and Stacking Ensemble Models for Regional AGB Mapping in Subtropical Mountainous Forests of Simao District, Yunnan
* Geometric algebra enhanced twin-branch contrastive network design for few-shot hyperspectral image classification
* Geometric positioning and correction for the FY-3F HIRAS
* geometry-aware implicit-explicit framework for light field angular super-resolution, A
* GeoRoad-UPerNet: Geo-1-Based Weakly Supervised Multispectral Road Extraction via Role-Aware Context Fusion and Semantic Regularization
* GIFT: A Green Image Forgery Tracker
* GIGAS: Adversarial Attacks on Visual Question Answering With Multi-Modal Generative Models
* Global-Local Disturbance Decoupling for Federated Facial Expression Recognition
* global-local hybrid perception model for few-shot fine-grained image classification, A
* GMG: A Video Prediction Method Based on Global Focus and Motion Guided
* GPM DPR Observations of Regional Differences in Tropical Precipitation Systems: Microphysical Features and Land-Ocean Contrasts
* Gradient descent-driven sampling for multimodal long-term scanpath prediction in panoramic videos
* Gradient-Based Index for Multiscale Mapping of Land Degradation in Brazil, A
* Gradient-Guided Density Redistribution Network for Light Field Full-View Depth Estimation
* Gradually Vanishing Gap in Prototypical Network for unsupervised domain adaptation
* Graph Condensation via Homophily Node Refining and Fine-Grained Distribution Matching
* Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
* Graph visual representation for controllable scene layout generation
* Graph-Embedded Deep Generative Clustering for Single-Cell Multi-Omics Data Integration
* Graph-fusion guided data reconstruction for multi-view multi-label feature selection
* Graph-MDETR: A Graph-Guided Mamba-DETR Network for UAV Catenary Support Components Detection in Electrified Railways
* Grayscale-inversion and rotation invariant texture descriptor: Non-Local Binary Derivative Pattern
* Ground and Low-Altitude Target Classification in Cluttered Radar Remote Sensing via Velocity-Aware Multi-Feature Fusion
* Ground-Based Multi-Source Observations of Tropical Cyclone Wutip
* GroundCap: A visually grounded image captioning dataset with object and action identification
* Guest Editorial: Affective Robotics
* H2R-BM: Can leveraging human videos enhance performance and generalizability in robotic bimanual manipulation?
* HaloGS: Loose coupling of compact geometry and Gaussian Splats for 3D scenes
* HANeRV: Hierarchically Adaptive Neural Representation for Video Compression
* HarmonicLIME: Frequency-Aware Local Explanations for Deep Music Genre Classification
* Harmonizing Generalization and Specialization: Uncertainty-Informed Collaborative Learning for Semi-Supervised Medical Image Segmentation
* Harnessing the power of local representations for few-shot classification
* HEART: Emotionally Grounded Video Captioning via Hierarchical Emotion-Aligned Representation
* Heterogeneity-Guided Tensor Decomposition for Traffic Flow Imputation
* Hierarchical Active Exploration and Cooperative Tracking Control Framework for Networked Marine Surface Vehicles With Optimal Path Guidance, A
* Hierarchical attention fusion with synergistic adversarial contrastive learning for incomplete multi-view clustering
* Hierarchical Control for Vehicle Platoons With Cut-in/Cut-Out Maneuvers via Distributed Model Predictive Control
* Hierarchical Fourier encoding for spatially-adaptive continuous super-resolution
* Hierarchical Information Embeddings With Neural ODEs for Personalized Federated Learning
* Hierarchical Interactive Multi-Plane Image Construction for Light Field Background and Reflection Separation
* Hierarchical prior-guided and channel-wise adaptation fusion network for RGB-D railway surface defect inspection
* Hierarchical quality-aware guidance for blind JPEG artifacts removal
* Hierarchical textual-visual guidance for referring remote sensing segmentation
* Hierarchical Vision-Language Interaction for Facial Action Unit Detection
* Hierarchy-Aware and Knowledge-Guided Learning for Multi-Label Classification of Retinal Diseases From Fundus Images
* High Dynamic Range Imaging via Spatial-Frequency Interaction
* High-Density Parking Dispatch With Heuristic and DRL Approaches: A Comparative Evaluation Under Diverse Parking Scenarios
* High-frequency geometry enhanced graph attention network for hyperspectral and multispectral image fusion
* High-Precision Instance Segmentation of Tree Saplings by Multimodal Mask R-CNN Integrating RGB and Multispectral Image-Derived Indices Through a Field Phenotyping Platform
* High-Precision Multi-Instance Registration for Stacked Objects in Bin-Picking Scenes
* High-Precision Positioning Method Based on GNSS and Multi-Sensor Fusion in Urban Environments, A
* High-Resolution 3D Imaging of Non-Coherent Sources for Three-Channel Monopulse Radar via Joint Polarimetric-Angular Diversity
* High-Resolution Daily Groundwater Storage Estimation over the Korean Peninsula via GRACE-GLDAS Integration
* High-Resolution Forest Biomass Mapping in Japan Using Canopy Height Estimation from Remote Sensing and Machine Learning
* High-resolution lunar crater detection and chronology estimation through generative enhancement and redundancy filtering
* Highly efficient anomaly detection in traffic surveillance videos with optimized interference-tolerant fast convergence zeroing neural network
* Hiking skill optimization algorithm -enabled deep maxout network for intrusion detection in IoT-based construction safety monitoring
* Hour-Ahead EV Charging Scheduling Strategy Considering Heterogeneous Demands via an Online Reservation System, An
* HP-Gaussian: Head Prior-Guided Gaussian Splatting for Personalized Talking Head Synthesis From Few-Second Video
* Human-Machine Fitness While Driving: Evaluating Human Acceptance of Autonomous Driving Styles Through EEG Signal Analysis
* Human-Machine Shared Steering in Driving via Integration of Driver Fatigue in a Fuzzy Logic-Based System
* Human-Oriented Cooperative Driving Approach: Integrating Driving Intention, State, and Conflict, A
* Human-Robot Interaction Conversational User Enjoyment Scale (HRI CUES)
* HVPPF: A Hierarchical Visual Privacy Protection Framework for Cloud Services Customized to Balance Privacy and Usability
* hybrid architecture with CNN and ViT dual branches for indoor scene recognition, A
* Hybrid Debiasing Transformer With Adaptive Regularization for Video Moment Localization
* Hybrid explicit and implicit encoding for multi-view representation learning
* Hybrid Interlayer Reflective Boundary Approximation for Hyperspectral Cloud Radiance Simulation Under Optically Thick Liquid Cloud Conditions, A
* Hydrodynamically Constrained Unsupervised Learning of Multi-Source Data for Submarine Groundwater Discharge Identification
* Hyperspectral and Multispectral Image Fusion Based on Adaptive Wavelet Transform and Dual Spectral-Spatial Branch
* Hyperspectral Image Change Detection with Deep Learning: Methods, Trends, and Challenges
* Hyperspectral Object Tracking with Dimensionality Reduction and Spatial-Spectral-Temporal Modeling
* I2ID: Disentangling identity features via synchronized masking for zero-shot composed person retrieval
* Ice-Sheet Imaging near an Antarctic Drilling Site Using Passive Seismic Rayleigh Waves and P-Wave Reflections
* Identification of Mown Grassland in the Xilingol League by Leveraging Multi-Modal Remote Sensing Data and the MAD-Net Model
* Identity Clue Refinement and Enhancement for Visible-Infrared Person Re-Identification
* Identity-Free Artificial Emotional Intelligence via Micro-Gesture Understanding
* IDFreq: Identity-preserved human video generation via frequency-based decomposition
* IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration
* IIFNet3D: Instance-to-instance fusion with dual attention for indoor RGB-D 3D object detection
* IKXAI-anonymity: Iterative XAI-based probabilistic k-anonymity for face image anonymization
* Image Enhancement Based on Pigment Representation
* Image signal process with dynamic class-rebalanced and IoU-threshold for unsupervised domain adaptive dark object detection
* Image Super-Resolution Using Hierarchical Cross-Scale Self-Similarity
* Imaging Simulation for Space Object Detection Using Space-Based Optical Telescopes
* iMatcher: Improve matching in point cloud registration via local-to-global geometric consistency learning
* Impact of Freight Task Characteristics on Driving Styles: A DSS-Based Quantitative Analysis
* Impact of GOES Atmospheric Motion Vector Data Assimilation on Forecasts over South America: Akará Cyclone Case Study
* Improved and Accelerated Text-to-Image Generation With Collect, Reflect, and Refine
* Improved chroma intra prediction via a novel scaled YCbCr framework with ULU0 factorization
* Improved Self-Localization for Intelligent Vehicles in Underground Parking Lots: Fusing Visual Features and Semantic Topology
* Improving 3D Gaussian Splatting Compression by Scene-Adaptive Lattice Vector Quantization
* Improving Driver Emotion Recognition Using Structure-Detail-Aware Blind Super-Resolution
* Improving GEDI L2B Leaf Area Index Estimation Using a Four-Scale Geometric Optical Model in Temperate Forests
* Incentivized Personalized Coordinated Freight Routing Considering System Optimization With Driver-in-Loop Utility Learning
* Incomplete Multi-View Clustering via Robust Representation Learning and Tensor-Based Co-Regularization
* Inferring Pilot Cognitive States Using a Multimodal Physiology-Based Graph Fusion Model
* Influence of Different Visual Elements of High-Density Urban Observation Decks on the Visual Behavior and Place Identity of Tourists and Residents, The
* Influence of Monochromatic Illustrations on the Attention to Public Health Messages: An Eye-Tracking Study, The
* Informing Thin-Layer Placement for Coastal Wetland Restoration Through Remote Sensing and Community Outreach
* Infrared Adversarial Patch Optimization via Gaussian Heat Diffusion Model
* Inner Speech and Damasio's Theory for Modeling Robot's Emotions
* Integrated biomechanical framework for pathological gait analysis and recognition via multibody dynamics and enhanced stability metrics
* integrated framework for enhancing small AprilTag pose accuracy under long-distance conditions, An
* integrated machine learning approach for efficient gap-filling of cloudy Landsat LST imagery, An
* Integrating Machine Learning with Adaptive Kalman Filtering to Downscale GFS Air Temperature Forecasts in Mountainous Areas
* Integration of Landsat-Sentinel Time Series and Flowering Phenology for Mapping Planted Forests and Distinguishing Tree Crops
* Integration of Superpixel Segmentation, Convolutional Neural Networks and Vision Transformers for Automatic Benthic Habitats Classification
* Interpretable Multi-Temporal Landslide Susceptibility Assessment Using Random Forest and Tree-SHAP in the Eastern Himalayan Syntaxis
* Inverse Weighted Sparse Regularization and Its Application in Radon Transform
* Invertible network with adaptive projection transform and cross-flow attention for real-world image denoising
* Ionospheric Response to Solar Flares at Mid-Latitudes During Geomagnetically Quiet Periods Based on Pruhonice Ionosonde Data 2023-2024
* IrisMAE: Structure-aware masked image modeling for iris recognition
* ISRJ Extraction and Elimination Method Using Phase Code Waveform for Synthetic Aperture Radar, An
* ISTASTrack: Bridging ANN and SNN via ISTA Adapter for RGB-Event Tracking
* Joint Hail Detection from Satellite and Radar Observations with Spatially Adaptive Alignment and Wavelet-Gated Refinement
* Joint pluralistic generation and realistic inpainting of occluded facial images
* Joint Robust Estimation of System State and Unknown Input: An Extension of Kitanidis Filter
* Joint Trajectory Obfuscation and Pseudonym Swapping Mechanism Avoiding Extra Privacy Cost, A
* JointTrack: Densely joint feature extraction and interaction via temporal-spatial prompt learning for object tracking in multi-drone videos
* KED-based framework for enhanced subcanopy topography retrieval leveraging TanDEM-X InSAR and spaceborne LiDAR data, A
* Keypoint-Guided Medical Video Segmentation Model with Spatiotemporal Feature Fusion
* KF-GS: Kalman filter-guided Gaussian splatting for real-time high-quality dynamic scene reconstruction
* Knowledge-Embedded Hypergraph Neural Networks
* KRCapVLM: Beam-guided knowledge replay for knowledge-rich image captioning using vision-language model
* Label-guided optimal transport for domain adaptation regression
* Laboratory Test-Guided Medical Image Generation for Multi-Modal Disease Prediction
* Land Subsidence Detection in Penang Island Using PS-SBAS InSAR with Adaptive Machine Learning-Based Weighting
* Land Surface Temperature Dynamics in the Yarlung Zangbo River Basin on the Tibetan Plateau from 2000 to 2024
* Landmark-assisted face and mouth 3D localization in smart spaces with a monocular camera
* Landsat Imagery Built-Up Area Extraction Method with Use of Multiple Indexes and Tasseled Cap Transformation
* LandSegmenter: Towards a flexible foundation model for Land Use and Land Cover mapping
* Landslide Mapping and Susceptibility Assessment in the Middle and Lower Reaches of the Nujiang River (2017-2025) Using Satellite Embedding and Multidimensional Environmental Factors
* Lane Line Semantic Segmentation, Modeling and Road Region Detection Based on UAV Edge Computing
* Language-guided modulation-update for semi-supervised semantic segmentation
* Large-Scale Multimodality via Dual-Path Cooperative Feature Fusion Strategy for Medical Image Segmentation
* LaSSM: Efficient Semantic-Spatial Query Decoding via Local Aggregation and State Space Models for 3D Instance Segmentation
* LASTracker: A lightweight RGB-E tracking framework with ANN-SNN adaptive switching
* Latent belief reinforcement learning for online motor imagery classification
* Latest Research on Eye Tracking Applications
* LDSDet: Long-Range Context and Dynamic Cross-Modal Alignment for Multimodal Object Detection Under Challenging Illumination
* LE-DualNet: A dual-stream network ensembling large vision model priors and temporal decomposition for automated depression detection
* Leaf Angle Distribution Effects on Modelling Accuracy of Sensible and Latent Heat Fluxes in Sunflower and Wheat Crops
* Learning coherent matrixized representation in latent space for volumetric 4D generation
* Learning Compact Semantic Information and Reliable Pseudo-Labels for Incomplete Multi-View Multi-Label Classification
* Learning Continuous Wasserstein Barycenter Space for Generalized All-in-One Image Restoration
* Learning dynamic compact representations for light field angular super-resolution
* Learning Fourier-Constrained Diffusion Bridges for MRI Reconstruction
* Learning frequency and memory-aware prompts for multi-modal object tracking
* Learning From Selective Attention for Pedestrian Collision Risk Assessment
* Learning gradient-based mixup with extrapolation toward flatter minima for domain generalization
* Learning Graph Neural Architectures for Heterogeneous Multi-Agent Trajectory Prediction via Automated Search
* Learning priority-aware controllable poster layout generation
* Learning robust representations for highly dynamic pose estimation via mixture of spatiotemporal experts
* Learning task-shared and specific knowledge via mixture-of-experts in generative model for continual learning
* Learning Unknowns Without Forgetting Knowns: Compositional and Bidirectional Low-Rank Adaptive Open-World Detection Transformer
* Learning With Partial and Noisy Correspondence in Graph Matching
* LES-Talker: Fine-Grained Emotion Editing for Talking Head Generation in Linear Emotion Space
* Leveraging Feature Alignment in Grassmannian Manifold for Multi-Output Regression Tasks
* Leveraging ISTA-inspired Transformer and multi-scale CNN for image compressive sensing
* Leveraging Spatiotemporal Cues for Self-Supervised Stereo Depth Estimation in Endoscopic Videos
* LG-MxT: Local-Global collaborative Mamba-Transformer for blue-and-white porcelain inpainting
* LiDAR-Guided Semantic 3D Gaussian Splatting for Forest Digital Twins
* Lifelong multi-view clustering with anchor-prototype collaboration
* Light-DPCVR: A dataset on the impact of light on dynamic point cloud quality and user behavior in virtual reality
* Light4GS: Lightweight Compact 4D Gaussian Splatting Generation via Context Model
* Lightweight and Accurate Forest Canopy Segmentation and Cover Estimation via Text-Prompted Pre-Annotation
* Lightweight Deep and Wide Network for Image-Based Detection of Industrial Waste Gas, A
* Lightweight Frequency-Selection-Based Progressive Patch Transformer Network for Single Image Super-Resolution, A
* Lightweight Multi-Level Feature Fusion Detector for UAV-Based Tiny Personnel Detection in Hilly Road Safety Monitoring and Rescue, A
* Lightweight Multi-Scale Weight Pruning Network for Salient Object Detection
* Linear complexity hyperparameter tuning of the quadratic kernel for support vector classification
* Linking problems with solutions: Biomass waste is where most needed to mitigate energy demand during tropical nights
* Lithospheric Thermal Structure Beneath East Antarctica Derived from Aeromagnetic Anomaly Analysis
* LLFeat: Noise-Aware Feature Matching Under Various Low-Light Conditions
* LLM-driven fine-grained emotion parsing and parameterized mapping for conversational TTS
* Local Causal Discovery With Background Knowledge
* Local Semantics Refinement of Adaptive Representations for Robust Noisy Label Learning
* Localized Background-Aware Generative Distillation for Enhanced Remote Sensing Object Detection
* Locally Linear Continual Learning for Time Series Based on VC-Theoretical Generalization Bounds
* Locating Motionless Human in Through-Wall NLOS Scenarios With a Commercial mmWave Device
* LODNeuS: A Flexible Lightweight Neural Implicit Surface Representation With Unconstrained Viewpoint Rendering
* Long-Term Forest Disturbance Mapping in the Qinling Mountains Using Landsat-Sentinel Annual Composites: A Regional Assessment of LandTrendr Performance
* Low light image enhancement and semantic segmentation based on axis cross-transformer and optimized deep double convolutional U-Net model
* Low-light image enhancement via distribution of latent transitions
* LRD-ESR-Net: Pseudo-Healthy Image Synthesis Based on Low-Resolution Residual Decoupling and Edge-Prior-Guided Super-Resolution Reconstruction Module
* LRGFormer: A Multiscale Feature Fusion Transformer for Image Restoration
* Lunar Radar Sounding for Ice Deposits and Subsurface Void Detection: Preliminary System Design and Performance Analysis
* M2PL-GAN: Multi-View Multi-Level Pathology Semantic Perception Learning for H&E-to-IHC Virtual Staining
* M3-HOI: Multi-modal mining network for video-based human-object interaction recognition
* M3Former: Memory-Guided Multi-Modal Generation and Adaptive Mixture Reasoning for Incomplete-Modality Crisis Event Detection
* M4FT: Mamba, Migratory, Mobile, and Multiple Fish Tracking
* MACER-UNet: A Connected Rural Road Extraction Model Integrating Multi-Scale Perception and Edge Enhancement
* Machiavellian Robots and Their Theory of Mind
* Machine Learning Approaches for Terrestrial Water Storage Assessment in Coastal Lowland Aquifer System Using GRACE/GRACE-FO Satellite Data (2003-2023)
* MADSC: Aspect-aware description and calibrated alignment for unified Multimodal Aspect-Based Sentiment Analysis
* MAFT: A Lightweight Network for Martian Rock Segmentation Based on an Adaptive Frequency Transformer
* Mamba-based multi-modal and multi-view ophthalmologic image analysis framework for correspondence relationships and complementary information modeling, A
* MambaMatch: A Novel Model for Semi-Supervised Spinal Cortical and Cancellous Bone Segmentation
* Mapping 40 Years of Coastal Production Spaces: Spatiotemporal Co-Evolution of Aquaculture Ponds and Salt Pans Along the Jiangsu Coast, China (1985-2025)
* Mapping of Crop Planting Structures Under Limited Training Samples Using TabPFN and Sentinel-2 Time Series Data
* MARVEL: Motion-Aware Reconstruction Via Embedded Learning of Motion Prior for Time-Resolved Cardiac CT
* Mask-Guided Feature Routing and Adaptive Context Modeling for Wide-FoV UAV Object Detection in IoT Remote Sensing
* Masked Image Modeling for Generalizable Organelle Segmentation in Volume EM
* Maya Pottery Red: Hue as a Perceptual Prior for Object Detection in UAV-Based Areal Survey
* MC#: Mixture Compressor for Mixture-of-Experts Large Models
* MCC-Net: Efficient Dual-Attention Network for Infrared Small-Target Detection
* MCF-UNet: Multi-level context fusion unet for immunohistochemical positive cell detection
* MDSLCA: Multi-Scale Dilated Spatial and Local Channel Attention for LiDAR Point Cloud Semantic Segmentation
* MeCM-EDNet: An EEG Decision Prediction Model Incorporating Emotional Information Based on Multi-Task Learning
* Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models
* Medical Data Security in Blockchain: A Telemedicine Data Sharing Scheme Based on Custom OPE and 4D-YG Hyperchaotic
* Medical image segmentation via Attention-enhanced Mamba with learnable Symmetry scan and a benchmark
* MERGE: A Bimodal Audio-Lyrics Dataset for Static Music Emotion Recognition
* MESA-Net: A Multi-Directional Edge-Aware Network with Scale Adaptation for Water Body Segmentation in Karst Landscapes
* Meteorology-Conditioned High-Resolution Vegetation Forecasting: A Hierarchical Multi-Modal Fusion Network
* MFID-200: A multimodal footprint dataset and spatial-temporal prompted transformer for identification
* Microbubble Backscattering Intensity Improves the Sensitivity of Three-Dimensional (3-D) Functional Ultrasound Localization Microscopy (fULM)
* MIFFNet: A Multidimensional Image Feature Fusion Network for Lettuce Fresh Weight Estimation
* Miniaturized Coherent Doppler Wind Lidar with Self-Compensating Harris Hawks Optimization Algorithm for Low-Altitude UAV-Borne Wind Sensing
* Minimizing the pretraining gap: Domain-aligned text-based person retrieval
* MIP: Mutual information-guided prompt for class-incremental continual graph learning
* MIQANet: A Novel Dual-Branch Deep Learning Framework for MRI Image Quality Assessment
* Missing-Kernel-Based OCSVM for Anomaly Detection on Missing Data
* Mitigating Negative Transfer via Reducing Environmental Disagreement
* Mixture-of-Expert Large Language Models for Text-Based Personality Assessment From Asynchronous Video Interviews
* MLHFA: Multi-local high-frequency attention and feature aggregation for generalizable deepfake detection
* MM-MoralBench: A multimodal moral evaluation benchmark for large vision-language models
* mmWave Radar Perception Learning Using Pervasive Visual-Inertial Supervision
* Modality-Agnostic Federated Learning With Adaptive Updates for Heterogeneous Medical Image Tasks
* Modality-Agnostic Hybrid Federated Learning via Knowledge Distillation and Reinforcement Learning-Based Aggregation
* Model knowledge-prior embedded subspace learning network for hyperspectral image classification
* Modeling Continuous Weak Temporal Trends for Video-Based Micro-Expression Recognition
* Modeling Semantic and Localization Uncertainty for Weakly Supervised Temporal Action Localization
* Modelling Different Penetration Rates of Automated Eco-Driving Electric Vehicles in an Urban Area
* Monotonic Rank Knowledge Distillation via Kendall Correlation
* MoSS: Mixture of subclassifiers with complete submatrix for tolerating missing values in electronic health records
* Motif-aware brain functional connectivity network analysis for cognitive disorder diagnosis
* Motion consistency-guided spatiotemporal learning: a robust framework for low-altitude infrared object detection
* Motion2Motion: Learning human pose refining in videos without ground truth label
* Moving Beyond Functional Connectivity: Time-Series Modeling for fMRI-Based Brain Disorder Classification
* MPI-DETR: Multi-Grain Prompt and Intensity-Guided Transformer for Small-Object Detection in UAV Imagery
* MRC-Enabled Multi-IRS Framework for Efficient Dual Information Transmission
* MSDR-Net: Multiscale Dynamic Reasoning for Multi-Label Remote Sensing Image Classification
* MSFAF-Net: A Multi-Scale Frequency-Attentive Fusion Network for Pavement Crack Detection
* MSINet: A Mask Structure Inference Network for Scene Text Image Super-Resolution
* MTR-DNET: Manifold topology and re-learning driven dual-branch network for semi-supervised OCTA vessel segmentation
* Multi-Agent Transformer Learning for Moving Target Positioning and Tracking in Complex Environments Using UAV Swarms
* Multi-Context Validation of Global Fractional Vegetation Cover Products in Croplands Using Multi-Source Crop FVC References
* Multi-Decadal Evolution Pattern and Trends of the Central Coastline of Jiangsu Province: Implications for Future Coastal Management
* Multi-Dimensional Histogram Modification Framework for Reversible Data Hiding in JPEG Images
* Multi-Factor Coupling Mechanism of Small Water Body Area Dynamics Under Different Scenarios in the Chaohu Lake Basin, China
* Multi-Fidelity Emulation of Atmospheric Correction Coefficients with Physics-Guided Kolmogorov-Arnold Networks
* Multi-granularity collaborative constraint feature alignment network for unsupervised person re-identification
* Multi-Granularity Self-Guiding Graph Diffusion Model for Predicting Private Car Activity, A
* Multi-label feature selection based on binary hashing learning and dynamic graph constraints
* Multi-Level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL
* Multi-Level Cross-Modal Edge Filtering Method for High-Resolution Optical-SAR Image Registration, A
* Multi-Model Machine Learning Mapping of Gully Erosion Susceptibility in the Heihe Region of the Xiaoxingán Mountains, China
* Multi-Pathway Learning and Competition: Introducing Brain FER Mechanisms to Deep Model
* Multi-Region Aware Transformer Network for Driver Fatigue Detection in Real-World Taxi Operations, A
* Multi-scale cross-domain and class-wise kernel discriminative alignment for EEG-based emotion recognition
* Multi-scale dense network with pyramid pooling for glaucoma screening
* Multi-Scale Dynamic Temporal Network With Graph Matching Domain Adaptation for Cross-Subject EEG Emotion Recognition
* Multi-Scale High-Resolution Urban Flood Susceptibility Mapping Using MaxEnt and Multi-Source Geospatial Data
* Multi-Scale LiDAR Analysis of Urban Vegetation, Built Morphology, and Population Density in Zagreb
* Multi-Scale Perimeter Control and Route Guidance System for Large-Scale Road Networks, A
* Multi-scale tiling for pseudo-labeling in dense scene object detection
* Multi-Source Time-Series Integration for Progressive In-Season Prediction of Rice Yield, Aboveground Biomass, and Harvest Index
* Multi-view biclustering via non-negative matrix tri-factorisation
* Multi-View Clustering via Graph Regularized and One-Hot-Constrained Symmetric Nonnegative Matrix Factorization
* Multi-View Subspace Clustering via Anchor Graph Factorization
* Multidimensional Image Reconstruction via Deep Nonlinear Low-Rank Tensor Decomposition
* Multimodal Classroom Climate Recognition: Dataset, Method, Application
* Multimodal deep learning with aerial imagery and nDSM for true-slope-aware rooftop photovoltaic potential estimation
* Multimodal human video generation with uncertainty-aware pose guidance
* Multimodal Medical Image Fusion via Manifold Structure Modeling and Information Geometry Enhancement
* Multiscale Feature Fusion Spatial-Channel Attention Network for Infrared Small Target Segmentation
* Multitemporal latent dynamical framework for hyperspectral images unmixing
* Nasal Dominance and Nostril Breathing Variability: Potential Biomarkers of Acute Stress
* Natural Language Guided Approach for Blind Face Restoration: Methodology and Dataset, A
* Navigating in Mixed Traffic: A Human-Centric Approach to Manage Lane Changes of Human-Driven Vehicles
* ncRD-LG: A unified framework integrating molecular language models and subgraph learning for drug-ncRNA target prediction
* NDM: Boosting Dataset Distillation via Nested Difficulty Matching
* Negative-weighted knowledge distillation regularized graph convolutional network for multi-label class-incremental learning
* NestedMambaUNet: A Direction-Aware State Space Network for Landslide Mapping from Remote Sensing Images
* NG-YOLO: Noise-Guided YOLO for Oriented Ship Detection in SAR Images
* NIDC: General Task Backbone for Neuroimaging Analysis via Interpretable Deep Clustering
* noisy image evaluation method based on upsampling, A
* Nonlinear Bayesian Filtering With Natural Gradient Gaussian Approximation
* novel approach in quality assessment for inpainted images, A
* Novel Framework for Validation of DSM Data Quality Based on Hyperspectral Topographic Correction, A
* Novel Method for Diagnosing Asphalt Pavement Distress Causes Based on Knowledge Graph and Case-Based Reasoning, A
* Novel Method for Land Use Classification Based on Segmentation by a 4D Spectral Feature System and Semantic Assignment, A
* Object re-identification with cross-view heterogeneous contrastive learning
* Object style diffusion for generalized object detection in urban scene
* OCT sidelobe suppression method based on dual-path phase sinusoidal modulation and minimum value fusion
* ODPL-CLIP: Open differential prompt learning with CLIP for open-set domain adaptation
* Oil Spill Segmentation in Marine Radar Imager via an Enhanced GA-RBF-MBO Hybrid Approach
* On Demographic Group Fairness Guarantees in Deep Learning
* On learning denoisable student logits
* On the Adversarial Transferability of Generalized Skip Connections
* On the Convergence of the Fast Griffin-Lim Algorithm
* On the Equilibrium Between Feasible Zone and Uncertain Model in Safe Exploration
* On the Two Facets to Conquer Wild Out-of-Distribution Detection
* On-orbit relative radiometric calibration of remote sensing satellite planar array sensors with geometric constraints and multi-scale radiometric cascades
* One-Iteration ISP Controller for Real-Time Machine Vision
* One-shot novel view and pose human image synthesis via 3D prior guided diffusion model
* Only Subsets Matters: The Effect of Dual Fairness Constraints in Speech Emotion Recognition
* Open world object detection applied in semantic scene construction
* Operational State-Based Maintenance Adjustment Strategy for Automatic Train Protection System by Integrating Probabilistic Model Checking With Machine Learning Algorithm
* Opportunistic Gossip Learning-Aided Collaborative Physical Layer Authentication for Internet of Vehicles
* Optical Water Types and Their Importance in Predicting Water Quality Metrics by Satellite Imagery
* OptimalCap: Efficient and Robust LiDAR-Based Motion Capture in Free Environments
* Out-of-Distribution-Resistant Evaluations for Explanations of Graph Neural Networks
* OutDreamer: Video Outpainting With a Diffusion Transformer
* Outliers Adaptation Exploration and Centroids Matching Label Refinement for Unsupervised Person Re-Identification
* OV-Pro: Enhancing open-vocabulary 3D object detection by prototype contrastive distillation
* PAL: Prompting analytic learning with missing modality for multi-modal class-incremental learning
* PANEL: A photovoltaic-specific vision-language model for zero-shot and few-shot PV interpretation tasks in remote sensing
* PanoKernel: Large Distortion-Aware Kernel for Panoramic Depth Perception
* Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
* Parameter-efficient transfer for CLIP-based text-to-person retrieval
* Parametric-Adaptive Filter for Improving LiDAR Performance Under Snowfall Conditions, A
* Parse graph-based visual-language interaction for human pose estimation
* Partial multi-label feature selection via dual-space combination and disambiguation strategy fusion
* Particle-Subspace Joint Filtering for Multi-Source DOA Tracking With Single-Snapshot Observations
* Past, Present, and Future: A Survey of the Evolution of Affective Robotics for Well-Being
* Pastoral Impact Assessment of Typical Drought Events
* Patient-Specific Background Model Estimation for Effective Brain Stroke Microwave Imaging
* PCNet: A composite backbone for 3D point cloud representation learning
* PDAM: Prototype-Guided Dynamic and Attention-Aware Masking for Hyperspectral Classification with Noisy Labels
* Penny-Wise and Pound-Foolish in AI-Generated Image Detection
* Perception-Failure-Induced Test Scenario Searching via Online Causal Reinforcement Learning
* Performance Analysis of Eye Movement Event Detection Neural Network Models with Different Feature Combinations
* Personality Traits and Demographics Analysis in Online Mental Health Discourse
* Personalized Federated Learning for Session-Based Affective Interaction Modeling
* PET Image Reconstruction Using Deep Diffusion Image Prior
* PG-DB-RTDETR: Physics-Guided Real-Time Detection in Foggy Scenes
* PGMM: Prior Guided Multi-expert Model for Long-tailed Classification
* PGVMS: A Prompt-Guided Unified Framework for Virtual Multiplex IHC Staining With Pathological Semantic Learning
* PGWave-RotNe: A Novel Lightweight Network for Oriented Object Detection in Remote Sensing
* Phase Congruency-Guided Cross-Scale Contextual Fusion Network for Salient Object Detection in Optical Remote Sensing Images
* Phase Unwrapping in Seconds: A Spectral ADMM Algorithm for Large-Scale InSAR
* Phase-Guided Cross-Frequency Integration Network for ISAR and Optical Image Fusion
* Phase-Lag-Based MPS/MPI Dual-Mode Precise In Vivo Temperature Imaging Technique
* Phenology-Guided Multi-Source Framework for In-Season Rice Mapping in Cloud-Prone and Complex Agroecosystems, A
* Physically Constrained and Library-Guided Convolutional Autoencoder for Mineral Hyperspectral Unmixing, A
* physically-constrained Gaussian spectral decomposition framework for remote sensing estimation of chlorophyll-a and suspended matter retrieval in highly turbid coastal waters, A
* physics-guided and scene-adaptive water index for consistent surface water mapping across regions and seasons, A
* Physics-Guided Posterior Sampling for Diffusion-Based Real-World Dehazing and Image Enhancement
* Physics-informed neural networks and monocular vision for kinematics analysis: Application to table tennis
* Physiological Network of Emotion
* Pilot Study on the Comparison of Prefrontal Cortex Activities of Robotic Therapies on Elderly With Mild Cognitive Impairment, A
* Pioneering Video Semantic Segmentation With Light Field Imaging and Spatial-Angular-Temporal Fusion
* Pixel's Neighbors Are Noteworthy: Localized Vision-Language Attention for Remote Sensing Semantic Segmentation
* Pixel-Level Uncertainty Quantification for Land Surface Temperature Retrieved from MODIS Thermal Infrared Data (2003-2023)
* Plane-Wave Image Reconstruction With Hy-PCF: A Novel Hybrid CNN-Transformer for Progressive Cross-Domain Fusion
* PLRVG: Progressive layer-wise refinement for visual grounding via deep-to-shallow decoding
* Point-RMAE: Reinforcement Masked Autoencoder for 3D Representation Learning
* PolarGS: Polarimetric Cues for Ambiguity-Free Gaussian Splatting With Accurate Geometry Recovery
* Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation
* Position-surpassing Flow Estimator: Advanced Graph-Based Motion Reconstruction in the Dark
* Post-Stack Seismic Inversion with Non-Convex Total Generalized Variation Regularization
* Power quality disturbances recognition based on a new multilayer kernel extreme learning machine
* PRDiff-Dehaze: Toward non-homogeneous haze image restoration via progressive refinement diffusion
* Predicting image quality score distribution using deep neural networks
* Prediction of Severe Convective Stability Indices Based on VMD-BiGRU-Attention and GNSS
* Predictive Risk-Aware MARL-Based Cooperative Driving Strategy for CAVs in Highly Interactive Driving Environments
* PredVC: Predictive Diffusion Models for Video Compression
* Preoperative Prediction of Esophageal Cancer Survival in CT via Tumor and Lymph Node Context and Geometry Modeling
* Prescribed Intelligent Formation-Containment Control of Air-Breathing Hypersonic Vehicles Under False-Data-Injection Attacks
* Pretrained Mobility Transformer: A Foundation Model for Human Mobility
* Privacy Preserving Decentralized Learning With Positive-Incentive Noise
* Privacy-Constrained Edge Computing for Driver Expression Recognition: What and How to Offload?
* PrivNet: Generative AI-Augmented Quantum Privacy Framework for Vehicular Networks
* Probabilistic Distribution Alignment for Text-Based Person Retrieval
* Probabilistic Forecast of Tropical Cyclone Precipitation Based on Diffusion Model
* Progressive Deep Learning for Accurate Winter Rapeseed Mapping in Complex Terrain: A Case Study of Hanzhong Basin, China
* Progressive Multiscale Generator for Domain Generalization in Hyperspectral Image Classification With Small Sample
* Projection for Ecological Carrying Capacity Based on the Interpretable CAXO Model: The Case of China
* PROMIND: Privacy-Protected Mental Health Intelligence with Noise Defense for Depression Recognition
* ProMoT: Progressive Prompting of Modality and Temporal Dynamics for RGB-T Tracking
* Prompt is All You Need: Prompting Foundation Models for Large-Scale Self-Supervised Semantic Segmentation
* Prompt-Guided Domain Generalization for EEG Emotion Recognition
* Prompt-guided Modality Completion for cardiac pathology segmentation
* ProtoComp++: Diverse Point Cloud Completion With Controllable Prototype
* Prototype Decoupled Knowledge Distillation
* Prototype-based multi-view fine-grained 3D classification and ad-hoc interpretability
* Prototypical Contrastive Learning With Temporal Dynamic Graph Convolutional Network for EEG-Based Emotion Recognition
* PSD Estimation Based Enhanced Kalman Filter for Target Tracking With Singer Acceleration Noise
* Pseudo Sentences Evaluation and Quality-Aware Robust Learning for Unsupervised Text-Based Person Search
* PSO-Based Closed Box Adversarial Patch Attack Against Face Recognition
* PSTAN: A JND-Aware Pairwise Spatio-Temporal Alignment Network for Compressed Videos Quality Enhancement
* PTCNet: Pure transformer network for two-view correspondence pruning
* PWD: Prior-Aware Wavelet Diffusion for Efficient Dental Limited-Angle CT Reconstruction
* Pyramid Token Pruning for High-Resolution Large Vision-Language Models via Region, Token, and Instruction-Guided Importance
* Q-RoFormer: Quaternion Rotation-Based Transformer for Cross-Subject EEG Emotion Recognition
* QARV++: An Improved Hierarchical VAE for Learned Image Compression
* QuAC: Quality-aware chinese pre-training proactive defense framework
* Quantifying the Sense of Control Through the Hand Blink Reflex in Human-Robot Interaction
* Quantum-Enhanced Key Agreement and Signature Protocol for Securing Transportation Cyber-Physical Systems, A
* QuPaS: SAM-Based Semi-Supervised Histopathological Image Segmentation With Quantum Force Field Finetuning and Adversarial Estimation
* R2G^3 Net: A Novel Hierarchical Spatial-Temporal Neural Network With a Regional-to-Global Fusion Mechanism for Multimodal Emotion Recognition
* Radiometric Performance Monitoring Method for LuTan-1 Satellites Combining Internal Calibration and Field Calibration
* Rainstorm Disaster Risk Assessment in the Yangtze River Basin with Fengyun Satellite Precipitation Products
* Ranking-Based Self-Supervised Representation Learning for Skeleton-Based Action Recognition
* Rapid Expansion of Global Shrub Encroachment Across Aridity Gradients and Its Effects on Vegetation Dynamics
* Real-Time FPGA-Based Hardware-Algorithm Co-Design for Monocular Visual Odometry on Edge Devices
* Reason-Align-Respond: Aligning LLM Reasoning With Knowledge Graphs for KGQA
* Refining forgery-aware prompts for deepfake detection with pattern blended samples
* Refining InSAR Deformation Retrieval for the South-to-North Water Diversion via Buffer Optimization
* Reflectance oriented diffusion with normalizing flow illumination enhancement for the low-light images
* Regional Variability in the Structure and Microphysical Characteristics of Hail Clouds over China Based on GPM Observations and ERA5 Reanalysis
* Reliable Underwater Acoustic Telemetry for Ocean Remote Sensing Platforms: Channel-Prediction-Based Adaptive Polar-Raptor Coded OFDM
* Remote Sensing Estimation and Spatiotemporal Variation Characteristics of Forest Aboveground Carbon Storage in Qianjiangyuan Baishanzu National Park
* Remote sensing imagery shadow detection via physical constraint
* Remote Sensing Study of the Impact of Revegetation on Lake Shrinkage in a Semi-Arid Inland Lake Basin, Inner Mongolia
* Remove the distraction: Semantic-SNR guided low-light image enhancement under flexible supervision
* Reperio-rPPG: Relational temporal graph neural networks for periodicity learning in remote physiological measurement
* Research on the Influence of Aerosol Optical Thickness Distribution on Apparent Brightness Contrast Under Vertical Non-Uniformity
* Reservoir-Based Graph Convolutional Networks
* Rethinking post-synaptic potential dynamics: Adaptive Synaptic Filter for versatile temporal integration
* Rethinking the refinement stage of 3D object detection: A multi-task learning perspective with Mixture-of-Experts
* Rethinking the trigger of backdoor attacks: Towards physical backdoor threats
* Retrieval-Augmented Pseudo-Image Guided Alignment and Text Domain-Aware Memory Recall for Continual Zero-Shot Captioning
* Reversible Data Hiding for JPEG Images Based on Gap-Driven Histograms Generation With Coefficient-Wise Selection
* Review of Soundscape Datasets: Challenges and Prospects for Multimodal Research, A
* Review of UAV-Based Crack Detection in Civil Infrastructure: A Multi-Level Visual Analysis Framework, Scene Adaptability, and Challenges, A
* Review on Super-Resolution Reconstruction of Single-Frame Remote Sensing Images via Diffusion Models, A
* Revisiting Frequency Domain: Spatial-Frequency Joint Tuning for Referring Image Segmentation
* Revisiting Monocular 3D Object Detection With Depth Thickness Field
* Revisiting Subspace Disentangling for Light Field Spatial Super-Resolution
* Revisiting the generalization problem of low-level vision models through the lens of image deraining
* RF-Guided Dual-Strategy Feature-Selection Framework for Multi-Source Remote-Sensing-Based Estimation of Forest Aboveground Carbon Stock in Mountainous Terrain, An
* RHG-DETR: Riemannian Hyper-Graph Transformer with Dynamic Receptive Fields for Detecting Special Targets in Degraded UAV Imagery
* RLDT-Net: A Retinex-guided latent diffusion and transformer framework for low-light image enhancement
* Robot-Mediated Multi-Party Conversation Aimed at Affect Improvement for Psychiatric Patients
* RoBoTS: A Robust Bounded Twin SVM Based on RoBoSS Loss Function
* Robust Context Modeling for Unsupervised Non-Rigid Point Cloud Correspondence
* Robust contrastive multi-view subspace clustering
* Robust detector-free multimodal image matching based on visual model guidance and gated attention
* Robust feature selection with adaptive k-nearest-neighbor rough sets
* Robust multi-modal segmentation via Cosine Contrastive adversarial attacks and meta-learning adaptation
* Robust prototype-aware representation refinement for LLM-based sequential recommendation
* Robust reinforcement learning with State-Driven Dual-Mode Alternating Adversarial Training via temporal bounded attacks
* Robust SAR Ship Detection with Texture Perception Convolution and Region Balanced Sampler
* Robust Spatiotemporal Fusion Algorithm for Wetland Vegetation Phenology Retrieval in Cloud-Prone Regions, A
* Robust Tensor Completion via Gradient Tensor Nuclear L1-L2 Norm for Traffic Data Recovery
* Robust UAV Beamforming Under Pointing Jitter Using Self-Centered Covariance Reconstruction
* Robust urban SLAM via resilient GNSS-IMU-LiDAR-camera-loop fusion
* Robust Vehicle and Pedestrian Detection in Adverse Weather via a Weather-Aware Transformer
* Role of Visual Attention and Quality Cues in Consumer Purchase Decisions for Fresh and Cooked Beef: An Eye-Tracking Study, The
* Root System Architecture of Scots Pine as an Ecological Indicator of Site Productivity: First Insights from Multichannel Ground-Penetrating Radar
* Rotation-invariant representation learning by sector convolution neural networks
* RPAFormer: Building Extraction with Relative Position Aggregated Transformer
* RSUniVLM: A unified vision-language model for remote sensing via Granularity-oriented MoE
* RUMPL: Ray-Based Transformers for Universal Multi-View 2D to 3D Human Pose Lifting
* RVQ-NVC: Taming RVQ-VAE for High Fidelity Neural Vibrotactile Compression
* SADP: Spatially-Aware DCT Priors for Low-Light Image Enhancement
* Safe Fairness Guarantees Without Demographics in Classification: Spectral Uncertainty Set Perspective
* SAGE-networks: Shape-aware geometric embeddings for writer re-identification in historical manuscripts
* SAMDFuse: Semantic-Aware Multi-scale Degradation-robust Fusion network for SAR and optical images
* Sample selection for remote sensing image change detection with unsupervised knowledge representation quantification
* SAPNet++: Evolving Point-Prompted Instance Segmentation With Semantic and Spatial Awareness
* SAPP: Sparse attention transformers for pattern recognition in portfolio management
* SARL: Structure-aware representation learning for 3D human pose estimation from point clouds
* SBAS-InSAR-Based Monitoring and Hierarchical Spatiotemporal Deep Learning for Subsidence Monitoring and Prediction in Active Mining Areas: A Case Study of the Dexing Copper Mine
* Scan-Invariant Mamba With Differentiated Sequence Contrastive Learning in Computational Pathology
* SCAP: Semantic Prototype Alignment for Robust Point Cloud Registration
* SCEConv: Spatial-Channel Enhancement Convolution for feature redundancy compression
* Scribble-Supervised Multi-Organ Segmentation via Epistemic-Driven Hardness-Adaptive Focusing
* SCS-YOLO: Object detection in roadside parking scenes
* SD-ReID: View-Aware Stable Diffusion for Aerial-Ground Person Re-Identification
* SDGScenes: User-intent driven indoor scene generation via semantic dependency graph
* Sea-out NeRF: Spatial perception enhancement for underwater unmanned systems
* Search Region-Guided Adaptive Template Update for Robust Multi-Modal UAV Tracking
* SEED-OLF: A Novel EEG Dataset With Olfactory Stimulation for Emotion Recognition
* Seg-LLaVA: Empowering pixel-level understanding with large vision language model
* Seismic Source Complexities Revealed by InSAR and Analytical Modeling: The 2025 Mw 7.1 Dingri Earthquake
* Self-Attention IHF-LSTM Network to Model Interactive Hesitant Fuzzy Information and Its Application in UAV Autonomous Navigation, The
* Self-Expressive High-Order Tensor Unrolling Network for Unsupervised Hyperspectral and Multispectral Image Fusion
* Self-orthorectification of satellite images using multi-view geometric constraints without external geospatial data
* Self-Supervised Monocular Depth and Pose Estimation for Endoscopy With Latent Priors
* SELongVLM: Empowering Long Video Language Models With Self-Corrective Clip Selection
* Semantic Augmentation Variational Autoencoder for Unsupervised Anomaly Detection in Retinal OCT Images
* Semantic-Enhanced LiDAR-Inertial SLAM With Robust Loop Closure and Global Consistency
* Semantic-preserved augmentation with reliability-aware fine-tuning for aspect category sentiment analysis
* semantic-structural feature learning with multi-stage interaction for 3D point cloud registration, A
* Semi-Supervised Change Detection for High-Resolution Remote Sensing Images Based on Label Extension
* Semi-Supervised VQA Multi-Modal Explanation via Self-Critical Learning
* SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of Empathy in Sustained Human-AI Conversations
* Sensing Robots and Social Odor: How Relational Engagement and Trust Change
* SEVMark: Spatio-Temporally Enhanced Video Watermarking via Invertible Neural Networks
* SFDFuse: A lightweight spatial-frequency fusion network for infrared-visible images
* SGAN: Shapelet-based GAN for local time series black-box attack
* Shallow-water reef detection driven by few-shot learning with airborne LiDAR bathymetry
* Sharing Our Emotions With Robots: Why Do We Do It and How Does It Make Us Feel?
* SHC: Deeply Activating Human-Like Cognitive Ability for Visual Question Answering
* ShipMS-BSNet: A Multi-Scale Semantic Segmentation Method for Remote Sensing Ships in Complex Marine Environments
* SiaTalker: Siamese Emotion Injection for Coarse-to-Fine Speech-Driven 3D Facial Animation
* Signal-Geometry Optimization for Micro-Expression Recognition: A Dynamic Gradient Gain Perspective
* SimMTC: Simple Multi-View Tensor Clustering
* Simpler is Better: Feature Guard and Interaction for Semantic Correspondence
* Simultaneous surgical stereo depth and motion estimation via brightness-aware self-supervised learning
* Single positive multi-label learning via label ranking relationship
* Single-domain generalization for fastener detection via sample reconstruction and class-wise domain contrast
* Single-Image Reflection Removal via Iterative Prompt Learning of Reflection Level
* Single-Sample Data Generation Without Preset Foreign Object Quantity and Early Stopping-Best Selection Strategy for CT Foreign Object Detection
* SLM-VINS: Advancing Visual-Inertial SLAM via Hierarchical Spatial Line Integration and Multi-Mechanism Marginalization
* SMA-EL:A Minimal 1-Cycle Construction Algorithm With Simplicial Maps Annotation and Edge Loss for Emotional Brain Networks Analysis
* Smartphone-Based Telerehabilitation for Low Back Pain: A Randomized Controlled Trial on Pain, Disability, Fear-Avoidance, and Trunk Muscle Endurance
* SMHGC: Homophily-agnostic multi-view heterophilous graph clustering
* SMSAT: An Acoustic Dataset and Multi-Feature Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
* SODet-YOLO: A Small Object Detection Algorithm for UAV Aerial Photography Perspective
* SoEdit: Improving Instruction-Driven Object Editing by Focusing on a Single Object Within a Cropped Region
* Soft Label Pruning and Quantization for Large-Scale Dataset Distillation
* Source-free foundation model-enabled transferable state of health estimation for lithium-ion batteries with intelligent adapter mapping
* Sparse adversarial attack via robust attack points selection
* Sparse multimodal feature fusion transformer with frequency-convolution collaboration for wildlife multi-object tracking in UAV monitoring
* SparseGS-W: Sparse-View Gaussian Splatting for Unconstrained Image Collections With Diffusion Priors
* Spatial Multimodal Knowledge-Driven 3D Scene Graph Prediction With Vision-Language Model
* Spatial position association-based 3D CT reconstruction from biplanar X-rays
* Spatial-Temporal Attention-Based U-Net for Crop Mapping from Time-Series Sentinel-2 Imagery: A Case in Sanjiang Plain, A
* Spatial-Temporal Self-Compensating Graph Convolutional Network for Skeleton-Based Action Recognition Under Data Constraints
* Spatio-Temporal Characterization of Gastric Distensibility in Upper Endoscopy Identifies the Presence of Helicobacter pylori
* Spatio-Temporal Decoupled Knowledge Compensator for Few-Shot Action Recognition
* Spatiotemporal Assessment of Tropospheric Nitrogen Dioxide Changes During COVID-19 Lockdowns Using Cloud-Based Remote Sensing: Evidence from Central America
* Spatiotemporal Dynamics of Cropland Topsoil Organic Carbon in Changchun, China, Based on Machine Learning and Multi-Source Geospatial Data
* Spatiotemporal Evolution and Driving Mechanisms of Eco-Environmental Quality in the Northern Tibetan Plateau Based on an Improved SRSEI
* Spatiotemporal Evolution of Urban Blue-Green Spaces and Evaluation of Their Thermal Environmental Benefits in Beijing
* Spatiotemporal Impacts of Vertical Urban Development Patterns on Carbon Emission Intensity: A GeoAI Framework Using Multisource Remote Sensing Data
* Spatiotemporal Patterns and Driving Factors of Forest Vegetation Carbon Storage in Jiangxi Province, China (1990-2024): A Geographically Weighted Regression Approach
* Spatiotemporal Variability and Associated Environmental Factors of Tropospheric NO2 Column Density over North China from TROPOMI Observations, 2019-2023
* Spatiotemporal Variations and Driving Factors of Evapotranspiration in Subtropical China from 2001 to 2020
* Spectral Group-Wise Gated CNN-Mamba Network with Cross-Stage Mutual Distillation for Hyperspectral Image Classification, A
* Spectral Signatures and Target Discrimination in Underwater Multiwavelength Single-Photon LiDAR
* SPEN: Sub-Pixel Position Error Estimation Network for Multi-Modal Image Matching
* SpikeTAD: Spiking neural networks for end-to-end temporal action detection
* SSD: Making Face Forgery Clues Evident Again With Self-Steganographic Detection
* STAR-IOD: Scale-decoupled topology alignment with pseudo-label refinement for Remote Sensing Incremental Object Detection
* StarIR: Convolutional Image Restoration With Spatial-Frequency Fusion
* StarRoute-DBNet: A Novel Multi-Modal Framework for Advanced Target Detection in Dynamic Environments Using SAR and Optical Image Fusion with FocusGraph and PhaseRoute
* STCF: Multi-View Clustering for Spatial Transcriptomics Based on Cross-View Fusion
* Stealthy backdoor attack method targeting group fairness in self-supervised learning
* STH-CL: Spatial and Temporal Hypergraph Contrastive Learning for Radar Signal Sorting
* StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
* Structure prediction and opportunity-cost scheduler for LLM inference
* Structured-condensed prompt tuning in vision-language models for fine-grained image recognition
* Study on Three-Dimensional Deformation Inversion in Mining Areas Based on PIM Optimized by CMA-ES and Multi-Source InSAR
* Studying Pupil-Size Changes as a Function of Task Demands and Emotional Content in a Clinical Interview Situation
* Style-Guided Source Data Augmentation and Target Feature Optimization for Cross-Domain Few-Shot Image Classification
* Sub-Nyquist Wideband Spectrum Sensing and DOA Estimation With Sparse Co-Arrays
* Summertime Zonal Wind Reversal near the Mesopause over Langfang (39.4°N, 116.7°E), China
* Supervised Small-Baseline and Large-Baseline Homography Learning With Diffusion-Based Data Generation
* Surface Ozone Increases over Northwest China Linked to North Pacific SST-Driven Warming
* Surface-Subsurface Thermal Correspondence over Coal Fire Areas with UAV Thermal Infrared Remote Sensing and Subsurface Temperature Field Reconstruction
* Surveillance Facial Image Quality Assessment: A Multi-Dimensional Dataset and Lightweight Model
* Survey on Interpretability in Visual Recognition, A
* SwiftDistill: Efficient robust knowledge transfer via dual-branch adversarial distillation and hardness-balanced augmentation
* SynCast: Synergizing Contradictions in Precipitation Nowcasting via Diffusion Sequential Preference Optimization
* Synergistic audio-textual cues: A cross-modal framework for weakly-supervised temporal action localization
* SynLiTS: Phase Prompting-Driven Diffusion Synthesis and Context-Aware Fusion for Unaligned Liver Tumor Segmentation
* T-Rex2++: Toward Generic Object Perception via Text-Visual Prompt Synergy
* Tail Task Risk Minimization in Meta-Learning From Theoretical Advances to Practical Strategies
* TailorEdit: An Adaptive Framework for Instruction-Guided Fashion Image Editing
* TAIS-Net: Time adaptive implicit sampling diffusion model for arbitrary-scale UAV video super-resolution
* TARS: Trust-Aware Reward Shaping for Vehicle Lane Change Automation
* Task-driven remote sensing image captioning for earth understanding: From multi-task dataset to task-conditioned framework
* Task-Related Electrodermal Activity Dynamics in Robot-Mediated Interaction: A Six-Case Study of Children With Neurodevelopmental Disorders
* Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis
* Temporal-camera-based semantic scene completion network with query-mask constraint and 3D layout initialization
* Temporal-spatial cross-fusion for dynamic micro expression recognition
* Terrain-Adaptive LiDAR-IMU SLAM with Multi-Feature fusion for complex underground environments
* Test-Time Domain-Agnostic Meta-Prompt Learning for Multi-Source Few-Shot Domain Adaptation
* Text-Centric Sparse Interaction Fusion Network With a Modality Calibrating Module for Multimodal Sentiment Analysis
* Text-Driven Tumor Synthesis
* Text-Image Co-Alignment for Weakly Supervised Polyp Segmentation
* Text-prompt multi-scale integration and detail-aware enhancement network for homography estimation
* TGCADNet: Text-Guided Context-Aware Detection via CLIP for Small Objects in UAV Scenes
* Theoretical Methods and Practical Applications of Control-Free High-Precision Positioning for Satellite Imagery Aided by Optical Axis Measurement Data
* Theory of Mind Abilities Predict Robot's Gaze Effects on Object Preference
* Thin Cloud Detection in Remote Sensing Images: A Physics-Inspired Class Center Residual Attention Network
* Think Twice Before Determining: Toward Scene-Aware Visual Reasoning for Mirror Detection
* Think-Before-Draw: Decomposing emotion semantics for fine-grained controllable generation of expressive talking heads
* Throughput-Delay Tradeoff Management for Partially Connected Networks via Lyapunov Drift Optimization
* Time-frequency denoising and optimization network for characterizing nonstationary rotating machinery signals
* TOFusion: Text-guided and object-aware infrared and visible image fusion
* Tomographic Foundation Model - FORCE: Flow-Oriented Reconstruction Conditioning Engine
* Topological-aware multiple kernel learning for ensemble clustering
* Topology-Aware Field Parcel Delineation: Bridging Deep Semantic Features and Geometric Constraints
* Topology-Preserving retinal vascular segmentation via sparse persistent homology and MoE convolution
* TouchTales: A Care-Centered Protocol for Recognizing Authentic Emotion From Naturalistic Touching and Telling
* Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
* Toward a Unified Complementary Fusion Framework for Robust Polarimetric Imaging
* Toward Functional Testing of Autonomous Ships: A Structured Survey With a Hybrid Virtual-Real Implementation Framework
* Toward Generating Realistic 3D Semantic Training Data for Autonomous Driving
* Toward Multimodal Sentiment Analysis via Contrastive Cross-Modal Retrieval Augmentation and Hierachical Prompts
* Toward the Spectral Bias Alleviation by Normalizations in Coordinate Networks
* Toward Transferable Defense Against Malicious Image Edits
* Towards comprehensive multi-task land cover change detection leveraging vision-language model and LLM-driven agents
* Towards data-free and model-agnostic black-box attacks against SAR-ATR via dual-diversity augmentation
* Towards generalized spaceborne SAR ship detection via Fourier-based perturbation augmentation and quality-aware invariance learning
* Towards individual agricultural parcel vectorization from VHR imagery: A coarse-to-fine and multi-task learning method
* Towards Unbiased Source-Free Object Detection via Vision Foundation Models
* TPFN: A Text-Guided Progressive Fusion Network for Multimodal Sentiment Analysis
* Tracking by detection and query: An efficient end-to-end framework for multi-object tracking
* Training-Free Open-Set Domain Adaptation With Vision-Language Models
* Trajectory Planning Approach Incorporating Load Transfer Dynamics and Energy-Based Rollover Risk for Autonomous Truck Platoon, A
* Trajectory-enhanced transferable attacks for vision-language pre-trained models
* Transformer-Based Individual Tree Crown Detection from Canopy Height Models with Cross-Domain and Self-Supervised Pretraining
* Transformer-Based Physiological Emotion Recognition for Autism Intervention Support
* Transformer-Based Reference Frame Synthesis for VVC Inter-Coding
* Translators' Allocation of Cognitive Resources in Two Translation Directions: A Study Using Eye-Tracking and Keystroke Logging
* Transmission line low-light image enhancement based on multi-directional attention and discrepancy feature fusion
* Trust Region Search-Based Bayesian Safety Evaluation Method for Accelerated Testing of Autonomous Vehicles
* Truthful Mechanism for Computation Offloading and Resource-Sharing in Vehicle Computing
* TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling
* two-stage low-light image enhancement network combining spatial and frequency information, A
* Two-Timer-KAN: Dual-Exclusive Fourier KANs With Gaussian Fusion for Few-Shot Multimodal Remote Sensing Imagery Classification
* U. V. Helava Award: Best Paper Volumes 183-194 (2022), The
* UAV coarse visual localization in large-scale continuous scenes
* UAV Hyperspectral Inversion Framework for Mapping Soil Heavy Metals Based on Spectral Harmonization, Weighted Ensemble Learning, and Environmental Variable Integration, A
* UAV Low-Altitude Remote Sensing System for Canal Discharge Identification Based on Machine Vision, A
* UAV RGB Imagery and Lightweight Deep Learning Map Semi-Mangrove Shrubs on Jeju Island
* UAV RGB Imagery as an Early-Warning Tool of Wheat Rust Pathogen-Induced Physiological Changes
* uBrainSurf: Unified Curvature-Aware Deformation Framework for Lifespan Brain Cortical Surface Reconstruction
* UDAN-CLIP: Diffusion attention network with contrastive language-image joint learning for underwater image enhancement
* UDFStudio: A Unified Framework of Datasets, Benchmarks and Generative Models for Unsigned Distance Functions
* Ultra-Fast Object Detection for Side-Scan Sonar Images via Target Presence Awareness
* Uncertainty Quantification and Global Sensitivity Analysis for Radio Wave Propagation in Evaporation Duct
* Uncertainty-Aware Label-Efficient Landslide Segmentation in Open-Pit Mines via Transformer Transfer Learning and Active Learning
* Uncertainty-aware mixture of experts for robust multimodal sentiment analysis
* Uncertainty-aware self-supervised motion deblurring: mitigating physical priors noise via probabilistic learning
* Uncertainty-Guided Iterative Contrastive Fusion for Reliable Survival Prediction in Rectal Cancer
* Understanding Data Influence With Differential Approximation
* Understanding gait recognition through silhouette sequence disentanglement and fine-grained visualization
* Underwater image enhancement via multidimensional feature cooperative VMamba
* UniFES: A Unified Recurrent Network for Quality Enhancement and Stabilization in Face Videos
* Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
* unified framework to learn invariant representations of graph neural networks for ECG biometrics, A
* UNIT3D: Unified Instance-relative Transformer for indoor 3D object detection and segmentation
* Universal Scale Transformer for Histology Image Segmentation
* Unleashing the potential of traditional person re-ID methods to clothes changed scenario via curriculum learning
* Unpaired underwater image enhancement via Cross-Modal Dual Contrastive Learning
* Unsupervised Abnormal Stop Detection for Long-Distance Coaches With Low-Frequency GPS
* Unsupervised text-based person retrieval via Adaptive Uncertainty-Aware Cross-Modal Learning
* UPI2Diff: Restoring Underwater Polarization Image and Information in Turbid Conditions via Polarization Guided Diffusion Model
* UTA-Sign: Unsupervised thermal video augmentation via event-assisted traffic signage sketching
* UWRGBD1k: A large-scale RGBD dataset of underwater object tracking
* Variable selection using relative importance rankings
* variational Bayesian algorithm for probabilistic affine and non-rigid point cloud registration, A
* Vehicle Trajectory Prediction in Highway Weaving Areas Considering Interaction-Transfer Characteristics
* Vehicle-Centric Perception via Multimodal Structured Pre-Training
* Velocity Disambiguation for Video Frame Interpolation
* Video quality assessment motivated by reverse hierarchy with feedforward and feedback perception representations
* Virtual view quality enhancement for 3D video based on generative adversarial networks
* Vision-Driven End-User Robot Programming Method Based on the Alignment Between Body Language and Motion Commands, A
* Visual anomaly detection under complex view-illumination interplay: A large-scale benchmark
* Visual-in-Visual: A Unified and Efficient Baseline for Image Restoration
* Waterbody Extraction from the Perspective of RGB+X Semantic Segmentation
* Waterfall-Plot-Based Multi-Criteria Framework for X-Ray Pulsar Time-Delay Estimation in Multi-Scenario Celestial Remote Sensing and Navigation, A
* WDTS: Water droplet model-driven entropy optimization for individual tree skeletonization from terrestrial laser scanning point clouds
* Weakly Supervised Learning for Facial Affective Behavior Analysis: A Review
* weakly supervised preference alignment framework for robust ancient Chinese translation, A
* Weakly Supervised Temporal Action Localization With Proposal-Level Action Consistency Learning
* Wetland mapping from sparse annotations with satellite image time series and temporal-aware segment anything model
* WildAnimal650+: A large-scale annotated dataset for generalized animal segmentation in unconstrained environments
* Winsor-CAM: Human-Tunable Visual Explanations From Deep Networks via Layer-Wise Winsorization
* WiViHAR: A Deep Learning-Based Human Activity Recognition Method Using WiFi and Vision Multimodal Fusion
* WmLSTM: A Plug-and-Play Window-Level mLSTM-Based Temporal Encoder for Robust Visual Tracking
* Workload Assessment of Operators: Correlation Between NASA-TLX and Pupillary Responses
* XFuse: Multi-sensor CNN transformer fusion with cross attention and quality aware curriculum learning for high resolution fractional snow cover mapping
* YACT-Net: Asymmetric YUV Color Transfer for Reference-Based Colorization
* YOLO-LIGHT: A Real-Time Lightweight Model Based on Limited Edge Computing for Traffic Scene Detection and Tracking
* Zero-Shot infrared-guided HDR video deflickering
* ZHFD-Net: Zero-shot image dehazing via high-frequency enhancement and depth-guided optimization
* Zippo: RGB-Alpha Joint Modeling With a Unified Diffusion Model
1109 for 2606