Update Dates 2610

2610 * 24 June 2026 Earthquake Doublet in Northwestern Venezuela: Joint Hypocentral Determination, Fault-Zone Tomography and Four-Track Sentinel-1 Constraints on Rupture Geometry, Slip and Stress Transfer, The
* A2-Det: Dual Asymmetric Architecture for Tiny Object Detection in Remote Sensing Imagery
* Accelerating SAM2 With Efficient Memory Attention Module via Spatiotemporal Token Pruning
* Acceleration-Enriched Input Preprocessing for Traffic Speed Forecasting: A Dual-Channel Framework
* Accurate Monthly Estimation of Shallow Groundwater Depth in Arid Oasis Regions Driven by Multi-Source Data and Machine Learning
* Accurate Motion Estimation With Bézier Control Point for Efficient Frame Interpolation
* Achieving Socially-Aware Car-Following in Mixed Traffic: A Safe Multi-Task Deep Reinforcement Learning Approach
* Active Acoustic Remote Sensing of Ocean Sound Speed Fields Along a Survey Track Using Inversion Constrained by Acoustic Propagation
* Active Cross-Task Knowledge Transfer Learning Framework for Semi-Supervised Joint 3D Grounding and Captioning
* Active Domain Adaptation Under Concept Shift
* Active Noise Cancellation in Ultra-Low Field MRI: Distinct Strategies for Different Channels
* Actor-critic driven continual learning with memory replay for generative crowd counting
* AdaCompVL: Adaptive Compression of Spatiotemporal and Cross-Modal Redundancy for Efficient Video-Language Learning
* AdaGA-NeRF for Sparse-View Synthesis
* AdaGuard: Location-Aware Adaptive Defense Against Adversarial Patch Attacks in Vision Transformers
* Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization
* AdaptCMVC++: Robust and Flexible Adaptation to Incremental Views in Continual Multi-View Clustering
* Adapting Foundation Models to Weakly-Supervised Few-Shot Medical Image Segmentation via Retrieval-Augmented Semantic Prompting
* Adapting segment anything model for power transmission corridor hazard segmentation
* Adaptive Data-Resilient Multi-Modal Hierarchical Multi-Label Book Genre Identification
* Adaptive Decoupled Knowledge Distillation via Self-Learning
* Adaptive Event-Triggered Fuzzy State Observer Control for Surface-Air Vehicles Subject to the Harbor-Approaching Operation
* Adaptive Extended ETDAC Transforms Using Discrete Trigonometric Transforms
* Adaptive Graph Construction Learning for Automotive Radar Object Detection
* Adaptive Multimodal End-to-End Autonomous Driving Framework Based on Behavior Discrepancy, An
* Adaptive shuffle-boosting federated learning for imbalanced medical image analysis
* Adaptive Structured and Consistent Ensemble Clustering
* AdaSGM: An adaptive stochastic generalized momentum framework with last-iterate convergence
* ADNet: A multi-domain benchmark for anomaly detection across 380 real-world categories
* Adversarial Purification by Consistency-Aware Latent Space Optimization on Data Manifolds
* Aerial Vision-Language Navigation With a Unified Framework for Spatial, Temporal and Embodied Reasoning
* Afford-X: Generalizable and Slim Affordance Reasoning for Task-Oriented Manipulation
* Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation
* AI-Empowered Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects
* Aircraft Skin Defect Detection Based on Dual-Domain Wavelet Feature Enhancement
* AKAN-FSL: Adversarial Kolmogorov-Arnold Network for Cross-Domain Few-Shot Hyperspectral Image Change Detection
* Algorithm for Search and Rescue Using Uncrewed Vehicles, An
* Aligning Condensed Graph via Hashing: A New Insight for Federated Graph Learning
* All-Weather Land Precipitable Water Vapor Retrieval Method Integrating Physical Constraints and Machine Learning, An
* Analysis of Spatiotemporal Dynamics and Associated Factors of Demolition-Led Urban Renewal in Shanghai Based on Time Series Sentinel-2 Imagery
* AnimateAnyMesh++: A Flexible Feed-Forward Framework for High-Fidelity Text-Driven Mesh Animation
* AnisoNet: A Detecting Model for Initial Anisotropic Cracks in Complex Road Scenarios
* Annotation-free confidence calibration of object detectors via object tracking
* Anti-Bullying Adaptive Cruise Control: A Proactive Right-of-Way Protection Approach
* Anti-neutron transformer pre-trained with position cloze procedure for high-energy particle detection
* Anticipatory Driving Maneuver for Safety and Comfort: Temporal Graph Cross Attention-Based Front Vehicle Trajectory Prediction
* AOG-BAT: 3D human pose estimation via Attention-Ordered Graph and Body-Aware Transformer
* Applicability Evaluation of BRDF Inversion Models at High-Resolution Scale Based on UAV Multiangle Multispectral Images
* APT: A Two-Stage Image-Video Transfer Learning for Video Retrieval
* ART-VOD: Adaptive Relational Distillation and Temporal Modeling for Open-Vocabulary Video Object Detection
* Artifact-Aware Self-Supervised Temporal Learning for Pediatric Lung Ultrasound Scoring
* AS-RAM: Automated Search With Rich Attention Modules for Network Traffic Prediction
* ASER: Attribute-Serialized Emotion Recognition With Generative Multi-Task Learning
* Assessing Global Drought Trends Under Climate Change: A Comparative Analysis of Four Drought Indices Across SSP Scenarios
* Assessing the Effects of Spartina alterniflora Management on Mangrove Carbon Storage Dynamics in the Zhangjiang Estuary Using Multi-Source Remote Sensing from 2016-2025
* Assessing the Role of Global Satellite-Derived SIF and Vegetation Traits as Proxy Predictors of Gross Primary Productivity
* Asymmetric Evolution and Multi-Scenario Projections of Landscape Ecological Risk in a China-North Korea Transboundary Basin Under Land-Use Change
* Asymmetric feature calibration network for RGB-D salient object detection
* Asymmetric Modality Domain Randomization for Drone-Based RGB-Thermal Tiny Person Detection Under Controlled Synthetic Sensor Shifts
* Attention in Motion: Secure Platooning via Transformer-Based Misbehavior Detection
* Attention-Disentangled Uniform Orthogonal Feature Space Optimization for Few-Shot Object Detection
* Attribute-Based Person Search via Noisy Graph-Enhanced Learning
* AUPOME: Unifying Anchor-guided UPsampling and Octree Mesh Extraction for Surface Reconstruction
* Automatic Cloud Segmentation and Cloud Cover Retrieval from Wide-Field Thermal Infrared Whole Sky Images
* Autonomous Motion Decision-Making Considering Dual Uncertainties in Surrounding Vehicle Cut-in Intention-Action
* Autoregressive Image to 3D Generation via Next Symmetric View Prediction
* AV-Unified: A Unified Framework for Audio-Visual Scene Understanding
* AvatarEdit: Optical Flow-Guided Consistent Talking Head Avatar Editing
* Background Suppression in EnMAP Methane Retrieval Maps with a Gated U-Net Denoiser
* BadLingual: Language-Triggered Anomalous Behavior in Multilingual Foundation Large Language Models
* BadPromptFL: Parameters-Free Backdoor Attack on Vision-Language Federated Learning
* Bayesian Robust Fully-Connected Tensor Network Decomposition for Visual Data Denoising
* Beyond Known Objects: Prompting 6D Pose Estimator to Learn Novel Objects Continually
* Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment From Two Perspectives
* Beyond seen bounds: Class-centric polarization for single-domain generalized deep metric learning
* Beyond Static Prompts: Dynamic Token Fusion for Temporal-Align Visual-Language Tracking
* Bi-LSTM-Based Train Fault Detection System Using Edge Computing and IoT for Enhanced Railway Safety
* Bias Assessment and Correction of Atmospheric Temperature and Vapor Density Profiles from Six Ground-Based Microwave Radiometers over Wuhan
* Bidirectional Multi-Scale Cross-Modal Attention Network for SAR-Multispectral Semantic Segmentation
* Binaural-Driven Ambisonics Encoding for Arbitrary Microphone Arrays
* bio-inspired framework for lightweight RAW-to-sRGB mapping and color optimization, A
* Bit-depth enhancement via invertible neural network
* BitNet v2: Low-Bit and Sparsified Activations for 1-Bit Large Language Models
* Blind Attribute Quality Enhancement for G-PCC Compressed Dynamic Point Clouds
* Blind Quality Enhancement of Compressed Video via Fine-Grained Degradation-Guided Sequential Inference
* Boosting high density crowd counting via density aware Semi-Supervised Learning
* Boosting Instance Awareness via Cross-View Correlation With 4D Radar and Camera for 3D Object Detection
* Boosting Semi-Supervised Temporal Action Localization by Learning From Non-Target Classes
* Boundary-Local Soft Supervision for Reliable Calibration in Defect Segmentation
* BPA-Net: Bidirectional Prototype Alignment for Image Captioning
* BRFedTD: A Novel Framework for Federated Reinforcement Learning With Byzantine-Resilient Policy Evaluation
* Bridging Cross-View Domain Gaps in Semantic Segmentation With Language-Guided Representations
* Bridging Physics and Priors: A Unified Diffusion Framework for Underwater Image Restoration
* Bridging Quality and Efficiency With Spiking Mamba for Speech Bandwidth Extension
* Bridging the Gap in Exam Handwritten Text Recognition: Dataset, Benchmark, and Modeling
* ByFeDis: Toward Byzantine-Robust Heterogeneous Federated Learning via Knowledge Distillation in Railway Intelligent Control Systems
* C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation With Confidence-Guided Reliable Object Generation
* CA-UNet: Real-time segmentation model for superalloy eutectics integrating direction-awared multi-scale convolution and multi-scale adaptive sparse attention
* Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
* Can Multimodal Large Language Models Understand Graphic Design? A Comparative Study
* Carbon Storage Patterns and Sequestration Enhancement Strategies of Urban Green Spaces in High-Density Urban Areas: Insights from Beijing Within the 5th Ring Road
* Cascaded Dual-Radar Fusion Detection with Loose-Threshold Preliminary Screening and False Alarm Suppression
* Cascaded Robust Rectification for Arbitrary Document Images
* CASS: A Context-Aware Memory Framework With Spectral-Spatial Modulation for UAV Multispectral Video Tracking
* Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning
* CausalVEE: Adaptive KeyFrame-Based Causal Temporal Modeling for Video Event Extraction
* CDC-VSR: Unifying Cross-Domain Continuity for High-Quality Video Super-Resolution
* CDF-Net: Cross-Scale Direction-Aware Focusing Network for Robust SAR Ship Detection with Horizontal Bounding Boxes
* Central Similarity Representation Learning for Efficient Cross-Domain Retrieval
* Certified Robustness for Hashing via Randomized Smoothing
* CFENN: A Deep Learning Framework for Image-Based Pantograph Contact Force Monitoring
* CGFformer: Cluster-guidance frequency Transformer for pansharpening
* Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition
* Chat2Route: A Retrieval-Augmented System for Personalized and Context-Aware Travel Planning
* CHFusion: A Cross-Modality High-Resolution Representation Framework for Infrared and Visible Image Fusion
* Circular Window-Based Cascade Transformer for Online Action Detection, A
* Class Importance Consistency Matters: Efficient Model Pruning for Long-Tailed Recognition Models
* Class-Aware Cross-Attention Helps Prompt Learning With Limited Samples
* Class-Normalized Prototype Residual Scoring for Open-Set HRRP Recognition
* Classification Iterative-Interpolated DFT Algorithm for Wideband Oscillation Detection
* Classifying Brain Tumor in MRIs Using Spatial Attention-Based Adaptive Inception Residual Net and Localizing Abnormalities via Hyperdense Inception 3D Trans-UNet++ Model
* CLCT: Complementary Local Consensus Transformer for Two-View Correspondence Pruning
* Climatic and Tectonic Controls on Late Quaternary Fluvial Terrace Development in the Turpan Fold-Thrust Belt, Eastern Tianshan
* CloudHandler: Unifying Satellite Video Cloud Detection and Removal in a Joint Framework
* Clustered Adaptive Graph Priors Network for Few-Shot Image Denoising
* CM-S6: Cross-Modal Selective Scan via Parameter-Level Modulation for Multisource Remote Sensing
* CMD Net: Cross-Modal RGB-Depth Fusion for Dam Detection in High-Resolution Remote Sensing Imagery
* CmIVTP: Cross-Modal Interaction-Based Vessel Trajectory Prediction for Maritime Intelligence
* CMMS-Net: Data-Efficient Semi-Supervised Crack Segmentation With Multi-Scale Dataset Memory
* CNIE: Content-Aware Non-Transferable Information Extraction for Fine-Grained Visual Categorization
* CoGLoR: Collaborative Global-Local Representation Learning for Remote Sensing Scene Classification
* Cognidrive: Cognitive Autonomous Driving Understanding With Multistep Multimodal Chain-of-Thought Reasoning
* Cognitive prior-guided evidence decoupling for remote sensing image change captioning
* Coherent Frequency-Agile Interferometry for Single-Baseline Angle Estimation
* COINR: Tackling context distribution shift for offline meta-reinforcement learning via invariant representation
* CoKNet: Colorized key-instance guided fusion for 3D object detection
* COLF: Disentangled forecasting for non-stationary time series via contrastive learning
* Collaborative cross-domain network for lightweight image super-resolution
* Colorization of Day-Night Aerial Infrared Images Using Online GIS Imagery
* Communication-Efficient Federated Traffic Prediction via Hierarchical Split Learning
* Comparative evaluation of zero-shot prompting, SFT, and RAG for TCM question answering
* Complementary Masking and Cyclic Training for Unsupervised Domain Adaptive Object Detection
* Comprehensive Survey on Road Damage Detection: Datasets, Methods, and Platforms, A
* Compressed Video Quality Enhancement Based on Optimal Reference Selection
* Compressing 3D Gaussian Splatting via Cross-Representation Priors
* CoNav: Collaborative Cross-Modal Reasoning for Embodied Navigation
* Confidence Matters: Balanced Pseudo-Label Selection for Semi-Supervised Few-Shot Learning
* Conquering Missing Views: Scalable Incomplete Multi-View Clustering With Anchor Graph Propagation
* Conquering the Dark: LuxRA-Net for EBAPS Image Denoising From Full Moonlight to Overcast Starlight
* consensus-aware visual question answering method for remote sensing images, A
* Consensus-Driven Distillation for Trustworthy Explanations in Self-Interpretable GNNs
* ConsisHOI: Layout-Controlled Consistent Human-Object Interaction Image Generation via Frequency-Aware Guidance
* Consistency-Guided Uncertainty Estimation for Source-Free Medical Image Segmentation
* Constrained conditional LLM-based imputation via iterative chained updates
* Constraint-Based Adaptive Grids for Compact Representation of Marine Scalar Fields
* Content Understanding and Reasoning Enhanced Small-Sample Blind Image Quality Assessment
* Context-Aware Evaluation of Signal Timing Interventions on Red-Light Running Using High-Resolution Traffic Controller Data
* Contextrast++: Robust Multi-Scale Contextual Contrastive Learning for Semantic Segmentation
* Contingency Planning for Autonomous Vehicles at Uncontrolled Intersections Based on Level-k Game Model Predictions
* Continual learning via semantic memory system
* Continual Semantic Segmentation With Tiny Memory
* Contourlet-Mamba: Towards generalizable deepfake detection via multi-directional frequency fusion and long-range spatial modeling
* Contrastive Embedding Multiplexing for Multi-User Semantic Communication Systems
* Controllable Echocardiogram Video Generation Driven by Fine-Grained Cardiac Motion
* Controllable Risk Scenario Generation From Human Crash Data for Autonomous Vehicle Testing
* Convenient Modeling Approach for Heavy-Haul Train Traction and Dynamic Braking in Longitudinal Train Dynamics Simulation, A
* Coop-WD: Cooperative Perception With Weighting and Denoising for Robust V2V Communication
* Cooperative Control in Bottleneck Scenarios for Dynamically Networked USVs Using Graph Attention and Weighted Mean-Field Approximation
* Cooperative Platooning: Centralized Hybrid PID-MPC for CAV Join, Cruise, and Leave Maneuvers
* Coordinated Feature Learning Framework for Oriented SAR Ship Detection, A
* Coordinating Multiple Conditions for Trajectory-Controlled Human Motion Generation
* Coordinative Multi-Scale Feature Augmentation Network for Multi-Task Driving Perception
* Corridor-Scale Two-Dimensional Deformation Monitoring and Geohazard Susceptibility Assessment Along the Sichuan-Tibet Railway Using ICA-Enhanced Multitrack InSAR Analysis
* CountLEG: Compositional referring expression counting framework via Latent Expression Guidance
* CrackLite: lightweight concrete crack segmentation with direction-guided topology aggregation and local geometry refinement
* Critical Configuration Testing for Autonomous Driving Systems: Targeting the Achilles' Heel of Four Open Autopilots
* CRNet: Context-Guided Recovering Network for Incomplete Multimodal Emotion Recognition in Conversation
* CroIPNet: Cross-site Individual-Population Graph Integration Network for neurodevelopmental disorder understanding
* Cross-Database Micro-Expression Recognition via Domain-Collaborative Disentanglement Network
* Cross-layer prior-guided center evolution for lightweight image super-resolution
* Cross-Layer Scattering-Aware Feature Fusion Network for SAR Target Detection
* Cross-modal collaboration with side temporal adaptation for open-vocabulary temporal action localization
* Cross-task generative augmentation of multimodal speech features for task-incomplete MCI detection
* Crosswalk Trajectory Prediction via an Intent-Trajectory Integrated Framework for Autonomous Driving
* CUDA-CC: Continual Unsupervised Domain Adaptation for Crowd Counting
* Curation From Thousands: Composing the Best-Aligned Diffusion Models with Improved Model Retrieval and Fusion
* Curvature-based stable hyperparameter detection for machine learning prediction of solar flares
* CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretation
* cycle-aware network for robust detection of circular coded markers, A
* CYGNSS Soil Moisture Performance in Guinea Savanna Region: Extended and Quadruple Collocation Evidence from Benue State, Nigeria
* D2-CDIG: Controlled Diffusion Remote Sensing Image Generation With Dual Priors of DEM and Cloud-Fog
* DAC-YOLO: A steel surface defect detection algorithm based on improved YOLOv11
* Daily Lake-Surface NDVI Reconstruction Using Multi-Source Machine Learning Under Incomplete Optical Observations
* Damaged Building Identification in Earthquake-Stricken Areas Based on Multi-Feature Fusion of Optical and SAR Imagery
* DAMS-ASCNet: Coupled Scattering-Aware Representation and Class-Aware Prototype Calibration for Open-Set SAR Target Recognition
* DBD-KD: Dual-branch disentangled knowledge distillation for efficient crack classification
* DEADet: Detail Enhancement With Multi-Level Feature Joint Perception for Aircraft Fine-Grained Object Detection
* Debris-Flow Hazard Assessment Considering Dynamic Characteristics Index with High-Resolution Topography in Duoxiongla Valley (China)
* Decadal Wildfire Risk Projection in Guangxi, China, Using a Two-Stage Deep Learning Framework with Recursive Environmental Factor Forecasting
* Decentralized Federated Learning by Partial Message Exchange
* DecMoiré: Decoupled Illumination Modulation and Moiré Removal for Robust Image Demoiréing
* Decoding topology-implicit EEG representations under manifold-Euclidean hybrid space
* Decomposed Structural Pattern Banks for Efficient Screen Content Image Super-Resolution
* Decoupled calibration of structural and logical evidence for training-free anomaly detection
* Deep Bio-Hashing Network for Privacy-Preserving Cancelable Finger Vein Recognition
* Deep Contrastive Hashing With Proxy Guidance for Multi-Label Micro-Video Retrieval
* Deep improving ranking hashing with semantic relevance for large-scale image retrieval
* Deep Learning-Based Obstacle Detection and Traffic Light Recognition in Tram Systems Using Jetson Nano
* Deep Learning-Driven Mobility and Handover Prediction for ICN-Enabled Vehicular Networks
* Deep Learning-Driven Segmentation of Unseen Objects in Indoor Robotic Environments
* Deep Supervised Adversarial Robust Hashing for Retrieval
* Deep Understanding of Sign Language for Sign to Subtitle Alignment
* Deepfake Detection and Mitigation in the Era of Generative AI
* Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
* DeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Adversarial Reinforcement Learning
* DeepLabV3+-Based Framework for Terraced Field Extraction from High-Resolution Remote Sensing Imagery, A
* DeepSeek-Based Multidimensional Environment-Contextualized Assessment Framework for Driving Behavior Evaluation, A
* DeferredSeg: A multi-expert deferral framework for medical image segmentation
* DEFT-DPT: A Lightweight Multimodal Framework for Egocentric Video Action Recognition
* DeGMix: Efficient Multi-Task Dense Prediction With Deformable and Gating Mixer
* Degradation Guided Robust Image Hiding
* Degradation-aware feature collaboration for underwater image stitching
* DeltaGNN: Graph Neural Network With Information Flow Control
* DenseRadar: Dense Radar Generation and Point Consistency Aggregation for 3D Object Detection
* Density-Aware Video Desnowing With Robust Alignment on a Large-Scale Dataset
* DepthNet: Geometry-guided infrared and visible image fusion network via depth priors
* Descriptive Textual Prompted Prototype Compensation for Lifelong Person Re-Identification
* DeshadowMamba: Deshadowing as 1D Sequential Similarity
* Detecting Defects in Mural Paintings: An Innovative Approach Based on Thermal Correlation and 3D Micro-Morphological Mapping
* Deterministic Model Fitting via Neighborhood Information and Greedy Search
* Developing a Transfer Learning-Based Deep Learning Model for Visible Cadastral Boundary Delineation in Nepal
* Development of Hybrid Deep Learning Network for Precise Segmentation of Cardiac Disease with Adaptive Nested Dilated Residual Densenet-Based Classification
* Development of the Potential Evapotranspiration-Vegetation-Precipitation Drought Index (PETVPDI) and Its Application in West Africa Using Remote Sensing Datasets
* Devil Is in the Masks: Label Disentangling Learning Network for Camouflaged Object Detection, The
* DFO-CAM: Dual-Flow Optimization Toward Faithful Visual Explanations
* DG-DETR: Density-guided dynamic query detection transformer for efficient tiny object detection
* DifferAD-R1: A Difference-Guided Industrial Anomaly Localization With Multimodal Large Language Models
* DiffReID: Discriminative Diffusion Model for Object Re-Identification
* DiffShape: Decoupling Shape Priors With Conditional Diffusion for Robust Brain Extraction
* DiffTCL: Diffusion-based augmentation for time series contrastive learning
* DiffTile: High-Resolution Periodic Pattern Generation via Splice, Focus and Enhance
* Diffusion Disambiguation Models for Partial Label Learning
* Diffusion self-distillation for pansharpening
* Diffusion-Augmented Adaptive Image-Text Contrastive Learning for unsupervised multimodal image clustering
* Diffusion-Based Quality Control of Medical Image Segmentations Across Organs
* DifSplat: Distractor-Free 3D Gaussian Splatting for High-Quality 3D Scene Reconstruction
* Digging Into Monocular Texture-Scale Feature Fusion for Optical Flow and Optical Expansion Estimation
* Diminishing Return of Value Expansion Methods
* DIMQ: Distribution-Induced Multi-Peak Quantization for Deep Neural Networks
* DINO-CoDT: Multi-Class Collaborative Detection and VFM-Guided Tracking
* Direction-aware superpixels on non-uniform grids inspired by visual masking
* Discharge-agents: A few-shot multi-agent collaborative framework for discharge summary generation
* Discovering Cyclists' Street Visual Preferences From Shared Bike Trajectories and Street View Images Using XAI-Enhanced Inverse Reinforcement Learning
* Discovering Utility-Driven Interval Rules
* Diurnal Aerosol Variability and Meteorological Associations over Inland and Coastal Pakistan: Insights from EPIC and MODIS
* DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
* DLMBMT: A Deep Learning Method Based on the Multi-Scale Technique for Hyperspectral Image Classification with Limited Training Samples
* Documenting Heritage at Territorial Scale: Heritage Building Information Modelling-Geographic Information System Integration (GeoBIM) and an Effort Unit for Scalable Multiscale Documentation Through Remote Sensing: The DIGIBIC Model (Extremadura)
* Does Multi-Modal Fusion Always Work: A Multi-Modal Decoupled Learning Neural Network (MDLNN) for the Detection of Fake News
* Domain-Invariant Representation Learning for Generalizable Deepfake Speech Detection
* Double DQN for Optimizing Safety by Minimizing Driver Uncertainty at Highway-Rail Crossings: A Dilemma Field Theory
* Downscaling of SMAP Soil Moisture Based on the Transformer Algorithm in Anhui Province
* Downscaling SMAP Soil Moisture to 250 m Using Deep Learning Models and Multi-Source Environmental Variables over the Loess Plateau
* DPSFusion: Dynamic Pseudo-Supervision and Semantic Guidance for Multi-Modality Image Fusion
* Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching
* DreamLocate: Disentangled Attribute Decoupling for Subject-Driven Image Inpainting
* DRL-Based Lane-Changing Decision Model for Connected and Automated Trucks to Reduce Congestion in Freeway Merging Areas, A
* drone aerial tiny-object detection algorithm with improved detection accuracy but halved parameter usage, A
* DSDNet: Dynamic Structured Dictionary-based Deep Unrolling Network for computed tomography metal artifact reduction
* DTTrack: Metric-Guided Dynamic Template Tracking Network
* Dual Prompt Learning for Unsupervised Degradation-Resistant Image Fusion
* Dual Representation Aggregation Network for Blind Image Super-Resolution via Iterative Bi-Level Optimization
* Dual Sparse Aggregation Transformer for Multispectral Object Detection
* Dual-Aligned SAC Approach With Adaptive Risk Threshold for Safe Motion Planning of Autonomous Driving, A
* Dual-Branch Multimodal Graph Learning for Contextual Semantic Enhanced Video Captioning
* Dual-Domain Cross-Prompt Learning for Efficient Sparse-View CT
* Dual-Domain Triple-View Contrastive Representation Learning for Few-Shot Hyperspectral Image Classification
* Dual-Domain-Based Plug-and-Play Image Restoration
* Dual-Fidelity Tensor Robust Principal Component Analysis Under Mixed Noise
* Dual-Interaction-Aware Cooperative Control Strategy for Alleviating Mixed Traffic Congestion
* Dual-Mode SPL-SLAM: A Robust Semantic Point-Line SLAM System With Monocular Neural Depth and Sensor Fusion for Intelligent Transportation
* Dual-Phenological-Characteristic Weighting Method to Reconcile Time Discrepancies in Soybean Phenology Estimation from MODIS NDVI Time Series, A
* Dual-state mamba network for lightweight image super-resolution
* Dual-Stream Alignment for Action Segmentation
* DyMix: Dynamic frequency Mixup scheduler based unsupervised domain adaptation for enhancing Alzheimer's disease prediction
* Dynamic Alignment Learning With Multi-Level Perceptual Stimuli for No-Reference Point Cloud Quality Assessment
* Dynamic Gaussian Splatting With Efficient Depth Optimization and Regularization for Sparse-View Endoscopic Scene Reconstruction
* Dynamic Graph-Enhanced Event Refinement for Temporal Sentence Grounding of Micro-Moments
* Dynamic Parking Pricing for Electric Vehicles in a Loss Queue
* Dynamic Scene Reconstruction for Spike Camera via Bayesian Imaging and Correlation Modeling
* D^2Net: Diagonal-Guided Dual-Stream Network Based on Wavelet Transform for Image Demoiréing
* E3NeRF: Efficient Event-Enhanced Neural Radiance Fields From Blurry Images
* Early Stopping Without Validation Data in Weakly Supervised Learning
* Early-Season Avocado Yield Forecasting in New Zealand Using Sentinel-1, Sentinel-2, and Climate Variables
* ECIRNet: Taming SPAN for efficient compressed image restoration with U-shaped structure
* Edge-Aware Remote Sensing Image Super-Resolution via Kolmogorov-Arnold Networks
* Efficient 3D Medical Reconstruction From Sparse Views via 2D Diffusion Models With Curvature Priors
* Efficient Frequency-Domain Modeling for Lossless Recompression of Variable-Rate JPEG Images
* Efficient Heterogeneous Exploration With Mutual Policy Divergence Maximization for Multiagent Reinforcement Learning
* Efficient Mixture-of-Experts for Video-Based Driver State and Physiological Multi-Task Estimation in Conditional Autonomous Driving
* Efficient Online Origin-Destination Prediction via a Knowledge-Driven Deep Learning Framework
* Efficient Plug-and-Play Mamba-Based Selective Target State Modeling for Lightweight Visual Tracking
* Efficient query-guided video instance segmentation via knowledge distillation and vision-language fusion
* EgoLoc: A Generalizable Solution for Temporal Interaction Localization in Egocentric Videos
* EJ-ANet: A Lightweight Envelope-Jitter Asymmetric Network for Drone Radio Frequency Fingerprint Identification
* Electric Vehicles Parking Lot Allocation Aided Computing System Considering the Willingness of Drivers
* Embodied Image Quality Assessment for Robotic Intelligence
* Empowering Non-Parametric Network With Intrinsic Attention and Optimal Transport for Few-Shot 3D Segmentation
* Enabling Live Video Provenance and Authenticity: A C2PA-Based System With TPM-Based Security for Livestreaming Platforms
* End-to-End Deep Learning Approach for High-Accuracy Brightness Temperature Calibration of Satellite Microwave Sounders: A Case Study of the FY-3F MWTS-III, An
* End-to-end framework for panoramic indoor style transfer: From photorealistic generation to immersive WebXR exploration
* Energy-Efficient State-Space Model Accelerator for Real-Time Video Understanding via Redundancy-Conscious Design, An
* Enhancing Anchor Representativeness and Stability in Scalable Multi-View Clustering With Prior Guidance
* Enhancing Compressed Low-Light Image via Decoupling Strategy and Robust Priors
* Enhancing Cross-View Geo-Localization via Global-Local Feature Matching and Keypoint Guidance
* Enhancing EGMS Products for Local-Scale Ground Deformation Analysis: Ascending-Descending Data Integration and Geostatistical Modelling
* Enhancing Generalization for EEG-Based Emotion Recognition Models With the Personality Cross-Attention Mechanism
* Enhancing Hyperbolic Vision-Language Representations via Adaptive Apertures and Contrastive Entailment
* Enhancing imbalanced label distribution learning with label correlation and feature interactions
* Enhancing Photogrammetric Digital Surface Models with Pretrained Diffusion Models and Multimodal Conditioning
* Enhancing Railway Localization With Vision: An Integrated Framework for GNSS, INS, and NetVLAD-Based Visual Place Recognition
* Enhancing Railway Network Security and Privacy With Blockchain and Attribute-Based Encryption
* ERNet: Efficient Revealing of Perceptually Encrypted Images With Long-Range Dependency
* Error propagation-driven graph neural network with implicit layers
* Establishment of a High Spatiotemporal Resolution Data Production Methodology Through Combined Observation of Geostationary and Polar-Orbiting Satellites
* Estimating City-Scale Pedestrian Movement With Sensor Networks for Count Data
* Estimating Ground-Level PM2.5 over Beijing-Tianjin-Hebei from DQ-1 Wide-Swath Imager Signals and ERA5 Meteorology Using Physics-Guided Feature Engineering
* Evaluating physically realizable adversarial visual attack to license plate recognition in black-box settings
* Evaluation of coherence length and related parameters in anisotropic Kolmogorov jet engine exhaust turbulence
* EVCha: A Multi-Task Learning Framework With Heterogeneous Multi-Graph Fusion for Electric Vehicle Charging Demand Prediction
* Event-Triggered Gossip for Distributed Learning
* EventDiff: A Unified and Efficient Diffusion Model Framework for Event-Based Video Frame Interpolation
* Expanding Intra-Modal and Compressing Inter-Modal Embedding Space for Incomplete Multimodal Emotion Recognition
* Exploring 3D point clouds with multimodal large language model (MLLM): A review
* Exploring Cross-Domain Transferable Attacks via Decoupling Features
* Exposition on Over-Squashing Problem of GNNs: Current Methods, Benchmarks and Challenges
* Extending Aumann-Shapley for Reliable Neuron Attribution in Autonomous Driving Decisions
* Extension of the WPS Model with Hierarchical Scene Representation and Analytic Ray-Primitive Intersection for Native Support of RAMI Actual Scene Descriptions in Radiative Transfer Simulation
* Eye Movement Classification via Global Semantic Representation With Fixation-Guided BERT
* Face De-Identification: A Domain-Centric Survey From Capture to Processing
* Face generation evaluation based on fine-grained textual descriptions
* Facilitating Fast Response of the Heterogeneous Vehicle Platoon Based on the Multi-Delay Proportional-Retarded Controller
* Factor-Assisted Federated Learning for Personalized Optimization With Heterogeneous Data
* FAHRNet: Frequency-Aware Hybrid Refocusing Network for Remote Sensing Image Super-Resolution
* Fair fine-tuning of medical vision-language models via learned textual embedding of sensitive attributes
* FaithViP: A Benchmark for Hallucinations With Synthetic Visual Prompts in Large Multi-Modal Models
* FAPFNet: Feature-Adaptive Progressive Fusion Network for Medical Image Segmentation
* Fast Bi-Level Task Assignment and Routing for Truck-Drone Collaborative Delivery
* FDOD: A Novel Few-Shot Small Object Detection Framework Using Fractional Fourier Transform and Differentiation
* Feature-Alteration Robustness for Out-of-Distribution Detection
* FedAdOb: Privacy-Preserving Federated Deep Learning With Adaptive Obfuscation
* FedDD: Combating Federated Noisy Label Learning With Intra- and Inter-Distributional Difference
* Federated acquisition-robust representation learning for cross-protocol ECG biometric authentication
* Federated Graph Learning for EV Charging Demand Forecasting With Personalization Against Cyberattacks
* FedHarmony: A Unified Framework for Addressing Clinical Heterogeneity in Federated Medical Image Analysis
* Few-Shot Anchor-Guided Multi-View Clustering with Pearson Correlation
* Few-shot fine-grained visual recognition with multi-scale feature mixer
* Few-Shot Multitask Network for Joint Detection and Modulation Recognition of LPI Radar Signals
* Few-Shot Remote Sensing Scene Classification Leveraging Collaboration of Foundation Models
* Few-Shot SAR Ship Recognition via Vision Mamba and Scattering Topology Fusion
* Flexible Hyperdisk-Based Support Tensor Machine for Railway Turnout Fault Diagnosis Using Dual-Channel Sound Signals
* Flexible Motion Stylization via Multi-Modality Latent Diffusion Model
* Flow6D: Lie-Group Consistent Riemannian Flow-Matching for Category-Level 6D Object Pose and Size Estimation
* Focus on the Hard: SAM-Based Prompt-Guided Refinement for RGB-T Semantic Segmentation
* FOF-X: Towards Real-Time Detailed Human Reconstruction From a Single Image
* Forest Canopy Height Retrieval from WorldView-3 Stereo Imagery Using Learned Feature Matching and Local Geometric Rectification
* ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
* Foundation Models Based Scene Graph Generation
* FourASR: Exploiting Fourier Frequency Information for Efficient Light Field Angular Super-Resolution
* FPSVS:Disentangled Prompt-Based Style Control for Singing Voice Synthesis With Reference Timbre via Flow Matching
* Frame-Adaptive Layer Aggregation of Pre-Trained Speech Encoders for Speaker Verification
* Fre-STformer: A Frequency-Based Spatio-Temporal Transformer for UAV Human Action Recognition
* FreqMamba: Frequency Enhancement and Mamba-Driven Representation Learning for Pedestrian Attribute Recognition
* Frequency Decoupling and Recalibration for Small Object Detection in Remote Sensing Images via Discrete Wavelet Transform
* Frequency-aware contrastive learning for robust shape-biased convolutional neural networks
* Frequency-Aware Hierarchical Feature Fusion Network for Tornado Detection Using Dual-Polarization Weather Radar
* Frequency-decoupled multi-scale hybrid transformer for underwater object detection
* Frequency-Guided Diffusion Model With Perturbation Training for Skeleton-Based Video Anomaly Detection
* From a Glance to a Boundary: Uncertainty-Aware Distillation for Glance-Supervised Video Moment Localization
* From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety
* From Earth Observation to Landscape Units: A Framework for Urban Cooling Assessment in Polish Functional Urban Area
* From Mapping to Composing: A Two-Stage Framework for Zero-Shot Composed Image Retrieval
* From Pixel Receptive Fields to Ground Spans: GSD-Conditioned Cross-Resolution Feature Alignment for Photovoltaic Detection and Segmentation
* From Prior to Frequency: A Progressive Structure Recovery Network for Remote Sensing Road Segmentation
* FSM-UNet: An ultra-lightweight frequency-spatial Mamba network for skin lesion segmentation
* FSMODNet: A closer look at few-shot detection in multispectral data
* FSSENet: A Foundation Model-Based Semantic-Structural Enhanced Network for remote sensing water body change detection
* FST-Diff: Residual diffusion with Radon-Guided Spectral Modulation for sparse-view CT reconstruction
* FSUS-Seg: A Fusion-Spectral-Driven Universal Medical Ultrasound Image Segmentation Network
* Full frequency decomposition and reasoning fusion for concealed object detection
* Functional Zone LST Patterns, Green-Space-LST Associations, and 2D/3D Urban-Form Relationships Across Taiyuan, Chengdu, and Yinchuan
* Functionality Separation: Rethinking Dual-Stream Networks for Class-Incremental Learning
* Fusion Framework Integrating UAV LiDAR and SBAS-InSAR for Enhanced Mining-Induced Surface Subsidence Modeling, A
* Gait-based health assessment via cross-domain knowledge transfer
* Game-Guided Multi-Agent Reinforcement Learning Approach for Vehicle Decision-Making in Narrow-Road Meeting With Hybrid Interaction
* Gap-Filled Daily Global Water Transparency Products from Multi-VIIRS Measurements
* Gated spatio-temporal attention and intra-inter class mechanisms for few-shot video action recognition
* GCaSNet: Global Context-Aware Selective Detection Network for Rail Surface Defect Detection
* Generalizable Person Re-Identification via Self-Promptable Learning
* Generalizing Beyond Patterns: Dynamic Moment Query Recalibrating for Out-of-Distribution Video Temporal Localization
* Generate and Filter: A GNN-Based Approach for Graph Anomaly Detection
* Generating Reversible and Identifiable Faces for Privacy Protection
* Generation and Alignment: Bridging Modality Gap for Visible-Infrared Person Re-Identification
* Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression
* Generative Retrieval for Unsupervised Text-Based Person Search
* Geometry-Aware Point Cloud Completion via Sharpen-Hypergraph Convolution and Equivariance Operators
* GeoSeC: Geometric-Semantic Collaborative Learning for Weakly Supervised Remote Sensing Image Segmentation
* GLAM: Unifying global-local graph geometry via asymmetric mutual learning
* Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models, A
* Global-Scale Diagnoses of Tropical Cyclone Maximum Wave Heights from 5 Km GPM Retrievals and Their Implications for Reanalysis Bias
* GLP-Fusion: A Hierarchical Multimodal Fusion Framework for Robust Student Engagement Prediction
* GOODY: On the scaling law in small data learning
* GPC-Net: Global semantic calibration and structural interaction for relational triple extraction
* Grad-ECLIP: Gradient-Based Visual and Textual Explanations for CLIP
* Graph Unfolding and Sampling for Transitory Video Keyframe Selection via Gershgorin Disc Alignment
* Graph-Benders Decomposition for Integrated Electric Trucks Routing, Cargo Loading, and V2G Scheduling, A
* Ground-Based Camera Network at Active Sicilian Volcanoes: Technical Improvements and Real-Time Extraction of Eruptive Parameters
* Group-Aware Spectral Perturbation Consistency Network for Cross-Domain Few-Shot Hyperspectral Image Classification
* Group-size adaptive kernel extension for feature upsampling
* GSDBA: Backdoor attack on 3D point cloud object detection via graph spectral domain
* GSF-3DLane: Ground Surface Fitting for 3D Lane Detection Based on Monocular Depth Estimation
* GText-IF: Leveraging Text-Driven Semantics for Degradation-Aware Image Fusion
* Guest Editorial Introduction to the Special Issue on AI-Empowered Intelligent Rail Transit in the Age of Digitalization
* GUIDE: Generalizable Trajectory Prediction Using Intention-Aware Diffusion With Efficiency
* Guided Implicit Generative Adversarial CNN-Transformer Framework for Class-Imbalanced Hyperspectral Image Classification, A
* Guided LDR Generation for Single-Image HDR Reconstruction Using Exposure Priors from Multi-Exposure Images
* Handling Learnwares From Heterogeneous Feature and Label Spaces With Explicit Label Exploitation
* Happy++: Toward Stable and Unified Continual Generalized Category Discovery
* Hardware-calibrated optical spiking neural network based on a programmable MZI mesh weight engine
* Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios
* Harmonizing Light and Darkness: Nighttime Image Deraining Using Color Space Transformation
* HDH-DehazeNet: High-density haze image dehazing based on concentration-aware and feature-guided collaboration
* Health and Ecological Risk Assessment-Based Air Quality Prediction Framework Using Ensemble Learning Network with Optimal Weighted Prediction Score
* HEPE++: Toward VLM-Based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection
* Heterogeneous Mixture-of-Experts Network for Bearing Fault Diagnosis Under Strong Noise
* Heterogeneous Quad-Modality Learning for Visible-Infrared Person Re-Identification
* HFGCN: Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
* HGMG: Enhancing heterogeneous graph embedding by meta-graph learning
* Hierarchical causal-aware reconstruction for open-set group activity recognition
* Hierarchical multi-view alignment with adaptive prototype compression for robust semantic scene understanding
* Hierarchical Sparse Graph for Multi-Dimensional Assignment in Event-Based Tracking
* Hierarchical Spatial Discrimination for UAV Geo-Localization Under Continuous-Coverage Partial Matching
* Hierarchical Structure Consistency Learning for Multimodal Emotion Recognition
* HiFRD-SegFormer: An Industrial Building Roof Classification Method Based on an Improved SegFormer Model
* HiFTLLM-Rail: A Hierarchical Fine-Tuned LLM for Spatio-Temporal Forecasting in Urban Railway Transit Systems
* High Frame Rate iToF-Flow-Based Depth Imaging Enabled by Local Linear Transfer
* High-Angular-Resolution Observations and Analysis of Solar Wind H-ENAs at Mars Using Tianwen-1/MINPA Data
* Hitchhiker's Guide to Autonomous Research: A Survey of Scientific Agents, The
* HMFM: A Robust Hierarchical Multimodal Fusion Module to Enhance Map Learning With Additional Information
* HO-GCN: Human-Object Adaptive Topological Interaction GCN for escalator dangerous behavior recognition
* How Local Details Meet Global Structures: A Parallel Multi-Scale Dual-Branch Network for Low-Light Image Enhancement
* How Powerful are Hypergraph Neural Networks?
* How Relation Enrichment Improves Clustering Ensemble Performance: A Second Order Induced Relation View
* HTR-MB: Combining Mamba and BiLSTM for Handwritten Text Recognition
* Human-Inspired Graphformer-Tutor: Accelerating and Safeguarding Multi-Agent Driving Learning
* Human-Like Single Image Reflection Removal via Deep Unfolding With Large Kernels
* Hybrid Heuristic Approach for Solving the Lock-Channel-Quay Co-Scheduling Problem Considering Water Discharge, A
* Hybrid Optimization Framework for Multi-Baseline InSAR Elevation Reconstruction Based on Sparse-Grid Quadrature Information Filtering, A
* Hybrid Quantum Optimization Framework for Oil Spill Detection Using Marine Radar, A
* Hybrid transformer-CNN framework for light field angular super-resolution
* HybridFusion: A Universal Multimodal Data Fusion Framework for 3-D Detection and Tracking
* Hyperbolic Hierarchical 3D Scene Representations for Open-Vocabulary 3D Scene Graph Generation
* HyperISTD: Angular-Consistent Modeling in Hyperbolic Space for Infrared Small Target Detection
* Hyperspectral Image Denoising via Dynamically Adjusted Regional Rank Guided by Adaptive Superpixel Segmentation
* Hypothesis-Conditioned Spectral Reallocation and Confidence-Coupled Spatial Routing for Lightweight Hyperspectral Image Classification
* HypTM: Efficient Vision Transformers With Hyperbolic Token Merging
* IADFormer: Intensity-Aligned Differential Transformer for Low-Light Image Enhancement
* IBCL: Information Bottleneck Contrastive Learning with minimum sufficient augmentation and generalized representations
* IC-GAP: Inscribed-Circle-Based Geometric Adaptive Processor for Elongated Object Detection in Remote Sensing
* ICMIL: An Interactive Contrastive Multiple Instance Learning Framework Using Foundation Model Features for Histopathology Image Classification
* IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
* Illumination-Aware Visible Generative Flows for Thermal Pedestrian Detection
* Image Colorization via Efficient Diffusion Model
* Impact of Assimilating Remote Sensing Observations on Wind and Wave Analysis Offshore of the Contiguous United States
* Improved Structured-Dictionary-Learning-Based Sparse SAR Imaging Algorithm, An
* Improving Out-of-Distribution Generalization on Point Clouds With Cross-Domain Adversarial Distillation
* Improving Transferability of Data-Free Universal Adversarial Perturbations via Auxiliary Ensembles
* In-Flight Aircraft Detection in Satellite Videos: A Benchmark Dataset and Temporal Snake Mixing Network
* IN3SIGHT: Toward Cognitive Forensic Reasoning for OOC Misinformation Detection
* Incomplete Multimodal Probability Flow Recovery for Emotion Recognition
* Inconsistency-Aware Active Learning for Semi-Supervised 3D Point Cloud Semantic Segmentation
* Indistinguishability Analysis of JPEG Image Encryption Schemes
* Inductive robust non-negative matrix factorization with double recovery graph embedding for image feature extraction
* Inliers confidence estimation with soft-assignment network for robust point cloud registration
* InSAR-Derived Surface-Deformation-Constrained Machine Learning for Permafrost Occurrence Probability Mapping in the Eastern Kunlun Mountains
* Integrated Planning of Virtual Coupling Train Convoy Formation Schemes and Timetables With Dynamic Coupling--Decoupling
* Integrating Aesthetic-Driven Hierarchical Semantics for Image Quality Assessment
* Integrating Agglomerative Perception With One-Step Action Generation for Robotic Manipulation
* Integrating Lateral Transportation and Collaborative Energy Scheduling: A Bi-Level Programming Approach for Port Waste-Energy Management
* Intelligent BCDecNet Framework: Adaptive Segmentation with Optimized Multiscale Dilated Deep Residual Attention Network for Mammogram Breast Cancer Detection
* Intelligent Safety Testing of Autonomous Vehicles With Implicit Traffic Distributions by Dense Reinforcement Learning
* Interactive 360° Object Removal: A Coordinate Querying Approach via Spherical Normal Constraints and Learnable Wavelet Enhancement
* Interpretable Framework for Quantifying and Predicting Driver's Situation Awareness at the Moment of Takeover Request in Conditionally Automated Driving, An
* Interpretable multi-omics representation learning via covariate-augmented generalized factor model
* Interpretable Spatial Completion of Sparse InSAR-Derived Activity for Enhanced Landslide Susceptibility Zonation
* Interpretable Stacking Ensemble Framework for Defining Rainfall-Geoenvironmental Coupling Thresholds of Shallow Landslides, An
* Interpreting AlphaEarth Foundation Model Embeddings for Soil Organic Carbon Estimation Across European Agricultural Landscapes
* Introduction to the special section Advance and future tendencies of intelligent systems & pattern recognition applications (SS:ISPR25)
* IO-MOT: Dual-Modal Feature Fusion With Instance Embeddings and Optical Flow for Multi-Object Tracking
* Ionospheric Response to Geomagnetic Storms of Different Intensity in the Eastern North Atlantic Mid-Latitudinal Zone (Iberian Peninsula, Azores and Madeira): Part 1: Solar and Geomagnetic Drivers
* IOTA: Corrective Knowledge-Guided Prompt Learning via Black-White Box Framework
* IRANet: Illumination-Aware Dual-Branch Reversible Aggregation Network for Low-Light Image Enhancement
* Joint HFM-CW Active Sonar Tracking via Velocity-Domain Bayesian Fusion With Implicit HFM Range-Bias Compensation
* Joint Spatial-Frequency Network with a Multi-Dimensional Loss Function for Remote Sensing Image Super-Resolution, A
* Joint Spatio-Temporal Resource Allocation Algorithm for Multi-Target ISAR Imaging in a Radar Network Based on Utility Maximization, A
* Joint Super-Resolution Reconstruction for Small Traffic Sign Detection via Multitask Learning
* Kernel-Based Hyperspectral Index for Mapping Plastics in Urban Areas, A
* KN-LIO: Kinematics and Neural Field Coupled LiDAR-Inertial Odometry
* Knowledge Discovery from Urban Trajectory Data: A Survey
* Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
* Kolmogorov-Arnold Causal Generative Models
* Label Distribution Enhancement-Based Label Completion for High-Noise-Ratio Crowdsourcing
* Label-Guided Masking and Imputation Network for Incomplete Multi-View Multi-Label Classification
* LANCE: Locally Adaptive Neural Context Estimation for Overfitted Image Compression
* Land-Cover Classification and Change Analysis in an Arid Oasis Based on Deep Learning and High-Resolution Remote Sensing Imagery: A Case Study of Minqin County, Gansu Province
* Lane-Aware Two-Stage Radar Multi-Object Tracking for Lane-Level Traffic Monitoring at Complex Intersections
* Language-Inspired Unknown-Space Expansion for Few-Shot Open-Set Detection
* Latent Diffusion Model With Spatial Attributes for 3D Reconstruction in Biplanar X-Ray Images, A
* Latent MeanFlow Policy Optimization for Offline Reinforcement Learning
* LATO-YOLO: A lightweight network achieved by efficient architecture design for drone traffic object detection
* Lava to Leaf: Remote Sensing of Post-Eruption Ecological Succession on the 2018 Kilauea Lava Flows
* LCSM: A Local Chart-Based Statistical Model for Femoral Shape Analysis
* Learning Artistic Image Aesthetics From Multi-Level Text Prompts Generation
* Learning Context-Adaptive Motion Priors for Masked Motion Diffusion Models With Efficient Kinematic Attention Aggregation
* Learning dual-modal prototypes for CLAP-based few-shot audio classification
* Learning Dynamic View Reliability for Multi-Camera Multi-Object Tracking
* Learning Fine-Grained Information With Capsule-Wise Attention for Salient Object Detection
* Learning From the Abyss: Self-Adaptive Distillation for Enhancing Underwater Images With Complex Degradations
* Learning in Diversity: Empowering Domain Generalized Semantic Segmentation With Style Injection
* Learning Natural Pedestrian Policies via Human Demonstration for Human-Vehicle Interaction
* Learning Progressive Adaptation for Multi-Modal Tracking
* Learning relative abnormal relations for generalist anomaly detection
* Learning robustness at test-time from a non-robust teacher
* Learning Shallow-Robust Vision Transformers With Selective Distillation for Real-Time UAV Tracking
* Learning to Replay: A meta-reinforcement learning approach to experience replay in continual learning
* Learning Visual-Audio Dissonance for Moment Retrieval and Highlight Detection
* Learning-Based High-Level Decision Making for Abortable Overtaking in Autonomous Vehicles
* LGM-Net: Feature-Domain Multi-Scale Network for Image Compressive Sensing Based on Learned Gradient Mapping
* Light-AD: A lightweight anomaly detector via decoupled knowledge distillation for processing large-scale hyperspectral images onboard
* LightRA: Lightweight Residual Attention for Adaptation of Vision-Language Models
* Lightweight depth enhancement network for underwater salient object detection
* lightweight real-time DETR for high-precision object detection in intelligent driving scenarios, A
* Lightweight Steganalysis With Low Distortion for Countering Robust Image Steganography
* Linking Data Modalities and Deep Learning Architectures for Urban Flood Modeling
* LIPVT: Local-enhanced and Interactive coordinate Pyramid Vision Transformer for human pose estimation
* LLM Post-Training: A Deep Dive Into Reasoning Large Language Models
* Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities
* LR-Depth: Enhancing Self-Supervised Monocular Depth Estimation in Low-Resolution Scenarios
* M-Mask: A Unified Parameter-Free Multi-Dimensional Masking Strategy for Universal Video Segmentation
* M3R++: Masked Token Mixup and Dual Cross-Modal Masking for Zero-Shot Learning
* MAFEE: Mobility-Aware Hierarchical Federated Learning With EC-MARL for Edge Caching in Internet of Vehicles
* Mainlobe-Safe Modular Formation Optimization Method for Large-Scale MuSAR with Joint ATI/XTI Baseline Requirements, A
* Making Large Vision-Language Models Better Few-Shot Learners
* Mamba-FSCIL: Dynamic Adaptation With Selective State Space Model for Few-Shot Class Incremental Learning
* Mamba-MFNet: A Mamba-based multi-level interactive fusion network for multi-modal medical images
* MambaFuse: A mixture of experts-driven state space model for efficient medical image segmentation
* MambaTAD: When State-Space Models Meet Long-Range Temporal Action Detection
* MambaX: Image Super-Resolution With State Predictive Control
* ManlyMM-VAE: Deep Clustering With Manly Transformation Mixture Latent Embeddings for High-Dimensional Skewed Data
* MAOSTE: Multimodal Aspect-Object-Sentiment Triples Extraction
* MAPLE - Manifold-Aware Point-Lifted evolution for very weakly supervised self learning in medical image segmentation
* Mapping Active Surface Deformation in Fusagasugá and Silvania, Colombia, Using Sentinel-1 SBAS-InSAR and Campaign GNSS Observations
* MapQP: Relational Query and Map-Aware Position Encoding for Online HD Map Construction
* Mask-Guided Diffusion-Consistency Network for Multimodal Hyperspectral Point-Cloud Mineral Mapping
* Masked Pretraining Framework With Multi-Scale Token Embedding and Multi-Head Conv-Attention for Hyperspectral Image Classification, A
* Maximum Likelihood Approach to Cooperative Localization for Partially Connected Networks, A
* Maximum-entropy polar harmonic transforms for information-density-driven image representation
* MD-TLN: A Transformer-LSTM Hybrid Network for Metro Passenger Flow Prediction With Multi-Source Features
* MDH: Mask-Induced Decoupled Hashing for Fine-Grained Image Retrieval
* Mechanical Parts Retrieval Based on a Multi-Level Parallel Branch 3D CNN With Confusion Weighted Loss
* Mechanistic interpretability of Mamba's selective gate in financial markets: A leakage-controlled study
* MedUAD: Task-aware unsupervised continual learning for multimodal medical anomaly detection
* MEGO: Learning Mixture-of-Experts for General-Purpose Binary Optimization
* Memory-augmented dual-pathway model for temporal speech emotion recognition
* Memory-Based Local and Non-Local Feature Propagation for Video Colorization
* Memory-Efficient High-Ratio Model Compression for Image Super-Resolution via Hybrid Hashing
* Memristive Coupled Dual Rulkov Neuron Model With Multi-Type Hyperchaotic Firings and Application to Image Encryption for IoMT
* Mesh Denoising Transformer
* MFSR: Multi-Fractal Feature for Super-Resolution Reconstruction With Fine Details Recovery
* MGCA-Net: Multi-Grained Category-Aware Network for Open-Vocabulary Temporal Action Localization
* MHBA-TransUNet: Shallow-Deep Collaborative RGB-DSM Fusion with Hybrid Bidirectional Attention for High-Resolution Remote Sensing Semantic Segmentation
* MHPF-HSI: A Multimodal Framework for Hepatocellular Carcinoma Prognosis Prediction Integrating Microscopic Hyperspectral Imaging
* MIDAS: Mutual Information Disentanglement With Uncertainty-Aware Fusion for Incomplete Multimodal Sentiment Analysis
* Minimum Interpretation Scale of an Earthquake-Induced Landslide Inventory with Acceptable Completeness, The
* MinT: Multi-Scale Implicit Neural Transformer for Image Deraining
* Mission-Programmable Onboard Decision Layer for Earth-Observation CubeSats: Scene Triage and Vegetation-Loss Alerting from 68-Byte Classifier Weights, A
* Mitigating Textual Noise in Multimodal FGVC via Hierarchical Semantic Purification and Multi-Stage Alignment
* Modality-Incomplete Multimodal Federated Recommendation With Bidirectional Modality Reconstruction
* Modeling Car-Following Behavior Based on Phase-Field Coupling Theory and Mathematized Expression of Panoramic Situation
* Monitoring Forest Interventions for Supporting Regulatory Compliance Using PlanetScope Time Series and High-Resolution Satellite Imagery: A Case Study of Coppice Forests in Southern Italy
* Monitoring the Transformation of an Aging Plain Reservoir: InSAR-Derived Deformation Associated with Dredging and Capacity Expansion at Suyahu Reservoir, China
* Monocular Spatial Pose Estimation of the Overhead Contact System Dropper Clamp Based on Deep Learning
* MonoDAPE: Data Augmentation and Perception Enhancement for Robust Monocular 3D Object Detection
* MonoHPE: Monocular 3D Object Detection With Height Positional Encoding
* Morphology-structure-relation guided low-label semi-supervised learning for breast ultrasound classification
* MoST-Net: Motion Memory Spatiotemporal Transformer Network for Myocardial Echocardiography Segmentation
* Motion Saliency Guided Fine-Grained Multimodal Interactive Learning for RGB-D Action Recognition
* Motion-Aware Representation Network for Micro-Expression Recognition
* MotionFlow+: High-Accuracy Optical Flow Estimation Network via Implicit Motion Prior and Uncertainty Guided Optimization
* Moving Authority Generation Switch Decision Method for Virtual Coupling High-Speed Train, A
* MSI-CCD: A multi-scale interaction framework with consistency-complementarity disentanglement for multi-view diabetic retinopathy grading
* Multi-Adversarial Metric-Constrained Domain Generalization for road damage detection
* Multi-Channel Satellite Cloud Image Multi-Step Prediction Model Based on Motion Awareness and Multi-Scale Compensation, A
* Multi-Directional Cube Graph Convolutional Fusion Network for Neonatal Pain Facial Action Unit Detection
* Multi-granularity 3D Visual Language Tracking from monocular videos: A benchmark and model
* Multi-Granularity Adversarial Generation Integrated Consistency Representation for Chest Low-Contrast-Enhanced CT Synthesis
* Multi-granularity fusion network with mixed multi-hop graph convolution for hyperspectral image classification
* Multi-Granularity Graph Contrastive Learning Framework via Granular Ball on Heterogeneous Graphs
* Multi-Granularity Text-Guided Semantic Alignment for Visible-Infrared Person Re-Identification
* Multi-Granularity Token Learning for Domain Generalized Semantic Segmentation
* Multi-label semantic decoding via Hierarchical Encoding and sparse Representation Fusion
* Multi-Lead Forecasting of Precipitable Water Vapor over Xinjiang Using Fengyun-4B Satellite and GNSS Observations
* Multi-level cross-view line matching: exploiting spatial domain characteristics
* Multi-Level Explicit Feature Alignment Network for Unsupervised Domain Adaptive Person Search
* Multi-Modal Character Localization and Extraction for Chinese Text Recognition
* Multi-Modal Fine-Grained Discriminative Cues Transfer for Efficient Person Re-Identification
* Multi-Modal Hypergraphs Fusion With Consistency and Complementarity for Multi-Modal Emotion Recognition in Conversations
* Multi-objective Pareto hyperparameter optimization for joint detection and localization of forged identity documents
* Multi-Paradigm Machine Learning for Opportunistic Rainfall Estimation from Satellite Microwave Links
* Multi-parameter identification of aberrated vortex beams under slant-path atmospheric turbulence using a multi-task convolutional neural network
* Multi-Perspective Wildlife Monitoring with Drones and Camera Traps Using Deep Learning and Spatial Analysis
* Multi-Proxy Quality-Aware Learning and Classifier Calibration for Few-Shot Incremental Fine-Grained Remote Sensing Classification
* Multi-Round Meta-Learning for Label Purification Without Trusted Labels
* Multi-scale sampling and windowed sparse self-attention reconstruction network for image compressive sensing
* Multi-Slice Cold Diffusion with High-Frequency Guidance for Unified Medical Image Restoration and Translation
* Multi-Source Remote Sensing Data Reveal the Instability Evolution and Precursory Signals Before the Collapse of the Aru Glaciers on the Tibetan Plateau
* Multi-stage adaptive feature aggregation for fine-grained visual classification
* Multi-Stage Prediction CNN: Fast CU Partition for VVC Screen Content Coding
* Multi-Teacher Divergence Perception Network for Semi-Supervised Semantic Segmentation of Remote Sensing Images
* Multi-Transform Domain Fusion Architecture for High-Speed Train Bogie Fault Diagnosis in Speed-Varying Conditions
* MultiFair: Multimodal Balanced Fairness-Aware Medical Classification With Dual-Level Gradient Modulation
* Multihead Continual Learning Framework for Fine-Grained Fashion Image Retrieval With Contrastive Learning and Exponential Moving Average Distillation, A
* Multilateral Network Transformation for Transport Mode Selection of Multimodal Transportation
* Multimodal Large Language Models Assisted Hierarchical Image-Caption Fusion for Remote Sensing Image-Text Retrieval
* Multiscale Graph-Refinement-Aware Network for RGB-D Mirror Segmentation
* MultiviewVLM: Unsupervised Multiview Contrastive Language-Image Joint Learning With Pseudo-Labeled Prompts via Vision-Language Model for 3D/4D Facial Expression Recognition
* MUSCLE-Net: Predicted-Multiscale-Aware Network for Pedestrian Trajectory Forecasting
* MVG-Net: Robust RGB-D 6D pose estimation via multi-kernel visual attention and geometry-aware fusion
* National-Scale Flood Susceptibility Mapping of Nigeria Using Statistical and Machine Learning Models with Satellite-Driven Validation for Data-Sparse Environments
* Neural Radiance Fields for the Real World: A Survey
* Neurodynamic Approaches With Fixed-Step Optimality for Rank Minimization: A Data-Driven Framework
* New Multiscale Deep Learning Model for Daily Runoff Prediction in Snow-Influenced Alpine Catchments, A
* NIINet: Toward Real-World Nighttime Deraining via Infrared Image Guidance
* Non-Homogeneous Dehazing via Semantic Features From Mobile-SAM
* Non-Linear Data-Driven Transforms and Intra Prediction Modes for Block-Based Video Compression
* Non-Negative Tensor Factorization Based Bi-Clustering on Anchor Graphs
* Nonconvex Low-Rank Tensor Representation With Self-Enhanced Structure Penalty for Multi-View Subspace Clustering
* Novel Secure Digital Watermarking Method Using All Phase Discrete Cosine Haar Biorthogonal Transform and Parrot Optimizer, A
* Novel Teacher-Student Framework for Unsupervised Domain Adaptation in Multi-Perspective Road Pavement Damage Detection, A
* NP-Hardness of Minimizing Neurons in Two-Hidden-Layer ReLU Neural Networks
* Observer-Based Adaptive Estimation for Time Delay Hyperbolic PDE Systems With Application to Traffic Dynamics
* Occlusion-guided adversarial attacks: Critical-region prioritization for optimization-step and perceptual-quality trade-offs
* Occlusion-robust gait recognition in bidirectional industrial access-control scenarios
* OccM3D-SS: Bridging Sparse Supervision With Dense 3D Perception via Semi-Supervised Occupancy Learning
* On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting
* On the Limitations of InSAR Decomposition Imposed by Displacement Direction and Coordinate System
* On-Orbit Execution of a Geospatial Foundation Model
* One-Shot Unsupervised Domain Adaptation for Semantic Segmentation With Self-Constrained Style Decoupling
* One-Step Image-Function Generation via Consistency Training
* OneActor++: Consistent Multi-Subject Generation via Cluster-Conditioned Guidance
* Online EV Fast Charging Scheduling With Energy Storage System Using a Profit-Predictable MILP
* Online IMU-Odometer Calibration Using GNSS Measurements for Autonomous Ground Vehicle Localization
* Open set prototypical network based on hard unknown class generation for object recognition
* Operational Absolute Radiometric Calibration of CAS500-1
* Optimizing Nursing Care Taxi Dispatch Leveraging Integer Linear Programming Solvers and Machine Learning
* Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
* Oranits: Mission Assignment and Task Offloading in Open RAN-Based ITS Using Metaheuristic and Deep Reinforcement Learning
* Ordinal Learning Framework With Sentiment Decouple for Multimodal Sentiment Analysis, An
* Ori-INR: Orientation-Aware Implicit Neural Representation for Remote Sensing Image Representation
* PARAFAC-Based Channel Estimation for Beyond Diagonal Reconfigurable Surfaces
* Parallel Hyper-Prior and Dual-Domain Autoregressive Transformer for Lossless JPEG Recompression of Pathology Images
* Parallel intra and intermodal attention mechanism for multimodal object detection
* Parallel Magnitude-Phase Spectra Estimation Model for Binaural Speech Enhancement With Spatial Cue Preservation, A
* Parameter Efficient Emotional Transfer for Fine-Grained Emotional Audio-Driven Talking Portrait Generation
* Parameter-efficient dynamically evolved networks for multi-modal class-incremental remote sensing image classification
* Part-Aware Learning Network for Weakly Supervised Semantic Segmentation, A
* PEGNet: A Peridynamics-Inspired and Emergent-Feature-Conditioned Spatio-Temporal Graph Neural Network for Land Subsidence Modeling
* Perceptual Quality Assessment of Real-World Noise in Ultra-High-Definition Images
* Permissioned Distributed Ledgers-Based Cooperative Decentralized Vehicular Edge Computing for Secure and Efficient Task Computation
* Persistence Trees: A topological tree structure for anisotropic image denoising
* PET-Mamba: Spiral scanning state space model for dynamic PET image denoising
* PGA-Stereo: Robust Stereo Matching With Monocular Semantic Priors and Evidence-Guided Cost Modulation
* PHNet: A progressive multi-hierarchy iterative network with complementary gradient constraint for infrared and visible image fusion
* Photographic image layout retrieval via representation learning with adaptive ellipse primitives
* Photovoltaic Defect Image Generator With Boundary Alignment Smoothing Constraint for Domain Shift Mitigation
* Physical Properties in the Northern Ecuador Subduction Zone Appear to Contribute to the Occurrence of Moderate-to-Strong Earthquakes and Aftershock Propagation
* Physics-Driven Autoregressive State Space Models for Medical Image Reconstruction
* Physics-Informed Liquid Neural Network Emulator for CRTM with Atmospheric-Layer Jacobian Capability
* Physics-Inspired Single Image Detail Enhancement Based on Kirchhoff's Current Law
* PI-H2T: Enhancing Long-Tailed Visual Recognition With Permutation-Invariant and Head-to-Tail Feature Fusion
* PineSight: The Model Improving Pine Wilt Disease Detection in Illumination-Degraded UAV Imagery
* PiT: Progressive Diffusion Transformer
* Pixel-Scale-Estimation-Based Instance Segmentation of Sensitive Targets in Tiled Remote Sensing Imagery
* PlantNet: Adaptive DenseNet with Attention-Based Capsule Network for Classifying Plant Diseases with Segmentation Procedures in Agricultural Fields
* Plasticity-Aware Mixture of Experts for Learning Under QoE Shifts in Adaptive Video Streaming
* PLUME: Staged Fusion of FY-4A AGRI and Rain-Gauge Observations for Bidirectional Refinement of Short-Duration Heavy-Rainfall Warnings
* PLVAM-DETR: Patch-Level Visibility Aware Multi-Spectral Detection Transformer With Frequency Specific Fusion
* PMPSR: Toward Real-World Image Super-Resolution With Pre-trained Multimodal Large Language Model Priors
* Point Coupling Model: A hybrid segmentation architecture of sparse window attention and State-Space Modeling
* Point-Based and Spatial Deep Learning for Radar Quantitative Precipitation Estimation Across Precipitation Intensity Ranges over Hainan Island
* PointDiff: Conditional Diffusion Model for Point-Supervised Video Moment Retrieval
* PolaFormer++: Polarity-Aware Linear Attention With Channel-Wise Spikiness
* Polarization-Sensitive Module for Optical Coherence Tomography Instruments
* Port-Agent: Structured Multimodal Reasoning for Port Disruption Analysis Using AIS, Satellite Imagery, and News
* Pose-Induced Error Compensation in Monocular Vision for Long-Range Air Draft Estimation
* Post-Training Quantization for Hybrid Iterative Generative Models
* PPT-AMA: Privacy Protection and Traceability Anonymous Mutual Authentication Protocol for Heterogeneous Vehicular Networks
* Prediction of Individual Motion Sickness of Bus Passengers Using a 6DoF-SVC Model Driven by Handheld Tablet Motion During Visual Tasks
* Predictive Line-of-Sight Geometry Compatibility in High-Rate GNSS: Formulation, Validity, and Causal Limits
* PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization
* Pressure-Level-Guided Spectral Cross-Attention for AIRS Temperature Profile Retrieval over East Asia Under Clear-Sky Summer Conditions
* Pride and Prejudice: Toward an Information-Theoretic Framework for Mutually Communicative Driver Behavior Modeling
* PRIMEdit: Probability Redistribution for Instance-Aware Multi-Object Video Editing With a New Benchmark Dataset
* Prior Based Latent Denoising Diffusion Learning for Weak Seismic Signal Reconstruction
* Priority-Based Conflict Resolution for Manned and Unmanned Aircraft Integrated Operations
* Priors Meet Hindsight: An Asymmetric Collaborative Evolution Framework for RGB-D Road Defect Detection
* PRISM: Precise region-aware instance style manipulation via text-guided test-time optimization
* Privacy-Preserving Federated Remote Sensing via Spatially Modulated Feature Perturbation and Ground Alignment
* Privacy-Preserving Threshold Announcements With Efficient Batch Verification for Cooperative Intelligent Transport Systems
* Proactive Communication, Computing, and Caching (P3C): A Novel Method for MEC-Based 360° Mobile VR Video Streaming
* Progressive Secret Image Sharing Using Multiplicative Primitive Irreducible Polynomials
* Progressive Visual Navigation via Hierarchical Priors: A Target-Centric Framework Based on Feature Extraction and Background Alignment
* Projection Clustering Support Vector Machine for semi-supervised learning
* Prompt-Based Task-Conditioning Transformer for Low-Quality Detection
* Prompt-Guided Dynamic Maskinfg Network for Visible-Infrared Person Re-Identification
* Prompting what moves: Contrastive multi-scale prompt distillation learning for video saliency detection
* Propagating Cross-View Semantics for Multi-View Clustering: A Unified Anchor Refinement Paradigm
* Propagation characteristics of the quasi-Airy- hypergeometric-Gaussian beam in atmospheric turbulence
* Prototype alignment and progressive pseudo-label sampling for class-imbalanced incomplete multi-view classification
* Prototype-Anchored Generalized Manifold Regression for Unknown-Domain Object Detection
* ProtoWave-Mamba: A Semi-Supervised Approach for Ocean Internal Wave Segmentation with Wavelet Enhancement and Long-Range Sequence Modeling
* Pseudo label generation under patch-level supervision for category-imbalanced waste image segmentation
* PTBD-Net: Bidirectional Hierarchical Calibration and Response-Aware Mixture of Experts for Infrared Small Target Detection
* Q-Accel: Accelerating Training for Black-Box ISP Tuning With Efficient Off-Policy Deep Reinforcement Learning
* QSMnet-INR: Single-Orientation Quantitative Susceptibility Mapping via Implicit Neural Representation in k-Space
* Quality Control of GNSS/Leveling-Derived Geoid Heights and Implications for LiDAR-Based Coastal Low-Elevation Classification
* Quality-Preserving Imperceptible Adversarial Attack on Skeleton-Based Human Action Recognition
* Quantum Fidelity Prototype Matching via Matrix Product States for Few-Shot Medical Image Segmentation
* Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble
* RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving With Vision-Language Models
* Radar-Video Fusion for Tiny Rockfall Detection and Tracking in Complex Field Environments
* RADAR: A Difference-Aware Retrieval With Organ-Level Alignment for Change Radiology Report Generation
* Radiometric Retrieval of LWP and COD in Radiation Fog Using Dual-Height Observations, and the Observability of Reff
* Rail3DNet: A Monocular Vision-Based 3-D Rail-Track Detection Network Using Rail-IoU Loss
* Rainfall Propagation Effects and Distortion Compensation for Cross-Polarized Radar Signatures of Aircraft Wake Vortices
* Random Sparse Networks Training with Sharpness-Aware Regularization
* RAPNet: Rate-Distortion-Aware Video Pre-Processing via One-Step Reinforcement Learning for Video Coding
* RASM-Net: A Reliability-Aware Structural and Multiscale Modeling Network for RGB-T Object Detection in Complex Environments
* Raspberry Pi Lightweight Deep Learning Models Deployed for Corn Growth Stage Classification Using PhenoCam Images
* RBF++: Quantifying and Optimizing Reasoning Boundaries Across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning
* RCOC-Distill: Boosting 4D Radar-Camera Online Calibration With Knowledge Distillation From LiDAR Features
* REACT: Relation-Aware Class Activation-Guided Mixture-of-Experts for Spatio-Temporal Triplet Recognition
* Real-Time Robust Semantic Segmentation via Low-Resolution Ensemble
* Real-Time Traffic Accident Detection From Speed Data: A Visual Method Based on Multi-Perspective Spatiotemporal Tensors
* Real-World Image Bit-Depth Enhancement
* ReAlign: Re-Aligning Intra-Class Misalignment for Few-Shot Segmentation
* RealTalk: Real-time audio-driven face generation with 3D prior-guided identity alignment
* Reassessing the role of LLMs in causal discovery: Critical analysis, benchmark evaluation, and exploratory framework
* Recent Advances in Transformer and Large Language Models for UAV Applications
* Reconstruction-Error Based Data-Efficient Backdoor Attacks for Multivariate Time Series Forecasting
* RectyNet: Geometry-aware feature rectification for robust object detection
* Reduced-Rank DOA-Matrix Method for DOA Estimation Using L-Shaped Array
* RegTrack: Simplicity Beneath Complexity in Robust Multi-Modal 3D Multi-Object Tracking
* Reinforced Context Augmentation for Multimodal Emotion Analysis
* Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles
* Reliable morphological characterization for plus disease classification
* Reliable Multi-View Clustering With Graph Neural Network
* REMAC: Self-reflective and self-evolving multi-agent collaboration for long-horizon robot manipulation
* Remedying Uncertainty Representations in Visual Inference Through Explaining-Away Variational Autoencoders
* ReMLVG: A RemoteCLIP-based framework for remote sensing visual grounding
* Replication in Visual Diffusion Models: A Survey and Outlook
* RePoCHOI: Single-view 3D reconstruction of clothed human-object interaction via relational pose optimization
* Reporting Conservation Status Assessment of Grasslands Using Indicators from Remote Sensing Techniques
* Reputation-Based Blockchain Sharding Scheme for Urban Rail Transit System: A DRL Approach
* Research on Mining Area Surface Subsidence Based on Time-Series InSAR Images and Deep Learning Models
* ReSO: A Real-Time Scalable Offloading Approach for Dynamic Vehicle-to-Everything Systems
* RetAction: Retentive and circulant attention dual path modeling for efficient temporal action detection
* Rethinking Domain Adaptive Semantic Segmentation With Vision Foundation Models
* Rethinking Multi-Modal Image Super-Resolution: The Key Role of Cross-Modal Consistency Prior
* Rethinking the Role of Vector Quantization for Blind Image Restoration
* Retraction-Free Optimization Over the Stiefel Manifold for the LoRA Fine-Tuning
* Reverse-Time SAM2 Mask Propagation for Scalable Labeling and Early Detection of Wildfire Smoke
* Reversible Data Hiding in Encrypted Images Using Adaptive Block Compression
* Review of Remote Sensing Image Translation Based on Generative Adversarial Networks, A
* Revisiting direct methods for monocular model-based 3D object tracking: A hierarchical optimization
* Revisiting the Adversarial Transferability: Toward a Perspective of Semantic Preservation
* Rewind-Augmented Generation for Long Video Understanding
* RGB-Infrared Group Re-Identification via Structure-aware Optimal Transport
* RGB-to-Multispectral Reconstruction with Spectral Attention and Non-Adversarial Perceptual Loss
* RGPose: Rendering-guided multimodal consistency learning for monocular 6D object pose estimation
* RGS: A Unified Representation-Generation-Selection Framework for Knowledge-Based Visual Question Answering
* Rice Cropping Pattern Mapping Using GEE-Based Sentinel-1/2 Time-Series Imagery and Machine Learning
* Riemannian Framework for the Elastic Analysis of the Spatiotemporal Variability in the Shape and Structure of Tree-Like 4D Objects, A
* Rigorous Statistical Testing Reveals Consistent Global Greening but Divergent Regional Trends Across Multiple Remote Sensing Products
* RingMo-Agent: A Unified Remote Sensing Foundation Model for Multi-Platform and Multi-Modal Reasoning
* ROBIN++: Unified Copyright Protection and Tamper Localization for Diffusion Models via Dual-Domain Synergistic Watermarking
* Robust AI-Generated Video Detection via Color-Agnostic Contrastive Curriculum Learning With Color-Aware Feature Modulation
* Robust Audio-Visual Question Answering With Missing Modality in Training and Testing
* Robust Coverless Information Hiding With Object-Presence Hashing and Vision Transformer-U-Net-Based Reconstruction
* Robust Dataset Pruning via Joint Noise-Aware Discrimination and Re-Labeling
* Robust Dual-Path Spatio-Temporal Graph Neural Networks for Stock Price Prediction
* Robust Lane Change Decision for Autonomous Vehicles: A Causal-Invariant Adversarial Reinforcement Learning Approach
* Robust Personalized Federated Continual Learning via Explainable Multi-Granularity Prompt
* Robust QR Code Detection in Oblique Aerial Images for Agricultural Field Experiments
* ROIF: Screen-Shooting Watermarking Based on Reuse of Important Features
* Role of Multi-Sensor Satellite Remote Sensing in Characterizing Volcanic Plumes Relevant to Climate Forcing, The
* RSD-DETR: A lightweight Transformer for robust small object detection with application to railway signal monitoring
* RW-Net: Enhancing Few-Shot Point Cloud Classification With a Wavelet Transform Projection-Based Network
* Rényi Entropy Induced Efficient and Balanced One-Step Multi-View Clustering
* s-MAR: Spectral Prior Enhanced Consistency Network for CT metal artifact reduction
* S-PFSA: Sparse potential field slot attention for interpretable multi-agent reinforcement learning
* S2-Net: Synergizing Spectral Compensation and Spatial Structure for Light Field Reconstruction
* S2A-TripNet: A spectral-aware triplet network integrating adaptive mining for robust and generalized hyperspectral classification
* SA-TSDTP: A State-Aware Two-Stage Framework for Logistics Drone Trajectory Prediction
* Sa2VA: Marrying SAM2 With MLLM for Dense Grounded Understanding of Images and Videos
* SAHs: Unraveling Safety Attention Heads in Large Vision-Language Models
* SAM-Aware Test-Time Adaptation for Universal Medical Image Segmentation
* SANR: Scene-Aware Neural Representation for Light Field Image Compression With Rate-Distortion Optimization
* SAR Flood Anomaly Mapping Through Statistical Time-Series Feature Classification and Pixel-Wise TCEV Modeling
* Satellite Altimetry Reveals Spatially Heterogeneous Sea-Level Rise, Mesoscale Variability, and Increasingly Frequent Extremes in the East Sea (Sea of Japan), 1993-2024: Dokdo in Regional Context
* Satellite Embeddings Improve GEDI-Based Forest Aboveground Biomass Mapping Across Sampling Designs in the Greater Khingan Mountains
* Satellite-Based Seasonal Monitoring of PM2.5-Related Trace Gases and Aerosol Loading over the Lazio Region
* Satellite-Only 3D Digitization of Hundred-Kilometer-Scale High-Voltage Transmission Lines
* Satellite-Scale Eucalyptus Disease Recognition Using Semi-Supervised Domain Adaptation with Limited Target-Domain Labels
* Saturation-Aware Space-Variant Blind Image Deblurring
* Scale-aware transformer and efficient 2D Gaussian Splatting for arbitrary-scale super-resolution of multi-modal MRI
* SCDIP: Structure-aware coordinated dynamics learning for enhanced human pose estimation with sparse IMUs
* Scene Graph Knowledge Enhanced Hashing With Contrastive Learning for Image-Text Retrieval
* SceneVLP: Augmenting Vision-Language Pre-Training Models for Video Action Recognition With Video Scene Graphs
* SCMM: Calibrating cross-modal representations for text-based person search
* SDFA: Spectral-Spatial Degradation-Aware Fusion Attention for robust underwater object detection
* Season-Specific Spatial Organization of Global Aerosol Optical Depth from 25 Years of MODIS Observations Revealed by Nonnegative Matrix Factorization
* Seasonal and Regional Variations in Land Surface Temperature Responses to Joint PM2.5 and Anthropogenic CO2 Emissions Pressures Across Urban Agglomerations in China
* Seasonality of XCO2, XCH4, XCO, and XH2O Using a COCCON EM27/SUN in the Po Valley
* Secure IoT-Integrated Cloud-Based Medical Image Processing Using Optimized Stereoscopic Scalable Quantum CNN for Efficient Diagnosis
* Security and Real-Time FPGA Integration for Learned Image Compression
* See Better While Driving: Sense-Act Cooperative Attention With Asymmetric Soft Actor-Critic for Autonomous Driving
* Segment Any Vehicle: Semantic and Visual Context Driven SAM and a Benchmark
* Self-Attentive Edge-Convolution Bipartite Graph Network for 3D Object Reconstruction From Point Clouds
* Self-Organizing Railway Traffic Management
* Self-Supervised Test-Time Adaptation for Spatio-Temporal Video Super-Resolution
* Semantic Image Synthesis via Diffusion Models
* Semantic-consistent internal body point cloud representation for low-overlap human point cloud registration
* Semi-DST: A Relation-Aware Frequency Transformer With Dual-Student-Teacher Framework for Semi-Supervised Hyperspectral Image Classification
* Semi-Supervised 360 Layout Estimation With Panoramic Collaborative Perturbations
* Semiparametric Bayesian network classifiers
* SemiPoint: Generalizing Cross-Scene Point Cloud Video Streaming With Semi-Supervised Learning and Residual-Aware Adaptation
* Sensitivity Analysis in Translation Averaging
* Sensitivity and Information-Content Assessment of a Candidate Channel Configuration for the Terahertz Ice Cloud Imager Proposed for Next-Generation Fengyun Meteorological Satellites
* Sensitivity of Satellite-Derived Gross Primary Productivity to Environmental and Canopy Inputs in a Subtropical Mangrove Forest
* Sentinel-1 SAR Coherence as a Conservative Alert Layer for Tree Cover Loss in Estonia
* Sentinel-2-Based Estimation and Mapping of Rice Grain Total Amino Acid Content Using Fractional-Order Multiband Spectral Indices and Feature Selection
* Sequential-Agent Game Lane-Changing Model for CAVs Approaching Off-Ramps
* SeS-CLIP: A CLIP-based model for semi-supervised video anomaly detection
* SGANet: Semantic and geometric alignment for multimodal multi-view anomaly detection
* ShadowNet for Data-Centric Quantum System Learning
* SHARE-U: Semantic-Aware Human Avatar Reconstruction With Efficient Gaussians via Uncertainty-Weighted Contrastive Learning
* Shared Latent Characteristic Anchored Hash Codes Generation for Efficient Fine-Grained Image Retrieval
* Short-term turbulence beam spread revisited
* Simulation of Equatorial Plasma Bubble Signatures in GNSS TEC
* Single Image Reflection Separation via Collaborative Reverse Attention and Geometric Guidance
* Single-frame predictive object detection for FMCW LiDAR point clouds
* SINS/GNSS Integrated Navigation Based on Left Equivariant Error Model in Inertial Frame
* Slum Detection and Sub-Pixel Slum Cover Fraction Mapping with AlphaEarth Foundations: A Representation Learning Evaluation Across 12 Global Cities
* Smoothing Traffic Flow Through Automated Vehicle Control With Optimal Parameter Selection
* SMRFHash: Semantic-Guided Multi-Representation Fusion Hashing for Fine-Grained Image Retrieval
* Soil Moisture Mapping of Golf Greens Using a Vehicle-Mounted L-Band Polarimeter
* SOPERM-Track: Spatial Object Permanence Modeling via Height Stability and Ground Perspective
* Space-Long Term-Range Joint Processing Method for MIMO Radar
* Sparse Semantic Feature-Guided Transformer for Maritime Defogging
* SparseVLM+: Visual Token Sparsification With Improved Text-Visual Attention Pattern
* Spatial-Channel Mamba-Driven Multi-Scale Mixture of Experts: A Y-Shaped reconstruction model for X-space magnetic particle imaging
* Spatial-Frequency Awareness for Low-Light Instance Segmentation
* Spatial-Temporal Prototype-Enhanced Attention Network for fMRI brain disease classification
* Spatially-Aware Video Frame Interpolation for Viewpoint-Varying Sequences
* Spatio-temporal consistent bird's-eye-view representation for multi-view detection and tracking
* Spatio-Temporal Evolution and Circulation Links of Summer Precipitation in Central Asia: Roles of Pacific and Atlantic Sea-Surface Temperature Modes
* Spatio-temporal graph neural network for traffic forecasting with diverse key heterogeneous information awareness
* Spatiotemporal CNN-Transformer Networks for Reconstructing Historical Landsat Time Series
* SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
* SPDB-ECEM: A Spectral-Polarimetric Image-Based Method for Feature Target Detection
* Speckle Noise Reduction via Linewidth Broadening for Planetary Laser Reflectance Spectrometers
* Spectral energy modeling for weighted graph anomaly detection
* Spectral Trajectory-Based Change Detection and Support Vector Machine Algorithm for Assessing Forest Landscape Disturbance Dynamics in Canada's Athabasca Oil Sands Region
* Spectral-spatial fusion using separable large kernel attention convolution and simplified Transformer for hyperspectral image classification
* Spectrum-Adaptive Modulation for Generalizable RGB-to-Thermal Semantic Segmentation
* SpectVit: Spectral-spatial gating for efficient vision transformers
* SPFormer: Superpixel-Perceptive Transformer for Infrared Small Target Detection
* SPID-DM: Structure-Guided Diffusion Model With Proportional-Integral-Derivative Controller for Unpaired Medical Image Translation
* SpongeNet: Preserving forgery traces by knowledge sponge with binary information bottleneck for deepfake detection
* SRG-OSyNet: A Neuro-Oscillation Inspired Audio-Visual Network for Deepfake Detection
* StableDub: Taming Diffusion Prior for Generalized and Efficient Visual Dubbing
* Stage-Wise Affinity Evolution Spatial Propagation Network for Depth Completion
* State-Aware Graphical Model for Event Camera Denoising via Joint Maximum a Posteriori Inference
* STC-M3D: Scalable Trimodal Correlation Learning for Multimodal 3D Understanding
* Stealthy and Robust Backdoor Attack Against 3D Point Clouds Through Additional Point Features
* STELLAR: Spatio-Temporal Tensor Completion via Low-Rankness and Smoothness of Difference Features for Traffic Data Imputation
* STENet: Superpixel Token Enhancing Network for RGB-D Salient Object Detection
* Stitching Misaligned Multi-Spectral Images by Versatile Transformation: A Streamlined Solution and Applications
* STPP: Efficient and Progressive Structured Pruning via Enhanced Sparsification Paradigm
* Stroke-Based Perception: Discover Novel Oracle Characters
* Structural prompt-response consistency for label-free failure screening in promptable medical segmentation
* Structure-Aware Artifact Peak Signal-to-Noise Ratio for Image Quality Assessment
* Structure-Aware Attention Prototype Network for Cross-Modality Few-Shot Brain Tumor Segmentation
* Structured Chain-of-Thought with Self-Correction for Training-Free Damage Grading of Pre-Localized Buildings Using Qwen3-VL-30B
* Structured Entropy Quantification for uncertainty-aware graph learning
* Struggle with adversarial defense? Try diffusion
* Study of Full-View Finger Vein Biometrics on Redundancy-Compensated 3D Reconstruction and Frequency-Spatial Coupling Feature Extraction
* Study on the Evolution and Driving Factors of Coastal Wetland Ecological Environment Quality Based on the Improved Ecological Index CWESI
* Supercooled Water Cloud Identification by Himawari-8, Its Validation by CALIPSO and Application to the Northeast China Cold Vortex
* Surface Roughness and Chemical Weathering of Fluvial Geomorphic Surfaces: A Case Study from Qingyi River, Eastern Tibetan Plateau
* Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation, A
* SWFNet: A Spiking-Wavelet Fusion Network for Frame-Level Quality Enhancement of VVC-Compressed 360° Video
* SWOT Wide-Swath Altimetry for Inland-Water Remote Sensing: Applications, Challenges, and Prospects: A Systematic Bibliometric and Thematic Review
* Symbiotic Evolutionary Learning for Task-Adaptive Infrared and Visible Image Fusion
* SymBOL: A General-Purpose Symbolic Learner for Scientific Discovery Using Bayesian Optimization-Enhanced Large Language Models
* Synergetic Multi-Instrument and Modelling Approach for the Detailed Characterisation of Rapid Transitions Between Contrasting Aerosol Regimes
* Systematic Calibration Framework for Microscopic Simulations Modeling Complex Systems for Control and Operations, A
* Systematic Review of Driver Behavior Studies to Improve Road Safety and Eco-Sustainability, A
* S^2-2Q-VDiT^+: Accurate Quantized Video Diffusion Transformer With Multi-Resolution Sampling and Structural Distillation
* TAHALight: A Temporal-Aware, Hybrid-Action Reinforcement Learning Approach for Traffic Signal Plan Generation
* Taking a Deep Look at Multi-Rater Agreement for Calibrated Medical Image Segmentation
* TakuNet: Energy-efficient models for real-time aerial disaster response and monitoring on edge devices
* Task-aware meta-learner for few-shot segmentation
* TC-RadiiFormer: Current-Time Quadrant Wind-Radius Estimation from Multispectral Satellite Sequences
* TCAN: Text-Guided Category-Aware Network for Online Action Detection
* TCSF-Net: Transformer-Cloth Simulation Filtering Fusion Network for Semantic Segmentation of Densely Vegetated River Levee LiDAR Point Clouds
* Teacher-Student Point Cloud Segmentation Framework for Challenging Features, A
* TECIS-1 Cloud and Aerosol Detection Method and Comparison
* TeLL-Drive: Enhancing Autonomous Driving With Teacher LLM-Guided Deep Reinforcement Learning
* TemLo: Temporal-Local Synergy Enhanced RWKV for Audio-Visual Segmentation
* Temporal and Spatial Associations of L-Band Fully Polarimetric SAR Metrics with Soil Moisture over a Wet Volcanic Ash Soil Field
* Test-time zero-shot recognition with good attributes
* TeViJP: Unifying Textual Abstraction and Visual Demonstration for Adaptive Procedure Planning
* Text-Anchored Dual Contrastive Alignment for Multimodal Sentiment Analysis With Temporal Misalignment
* Text-Aware CLIP: A Generalized Method for Deepfake and Fake News Detection
* Text-Guided Unsupervised Hashing With Community Exploration for Image Retrieval
* Text2Loc++: Generalizing 3D Point Cloud Localization From Natural Language
* TextFuse: Text Information Guided Infrared and Visible Image Fusion
* Threat in Frequency: Unveiling Hidden Attack Surfaces by Exploiting Stealthy Backdoors on Diffusion Models
* Three-Branch SAR Target-Recognition Network via Multi-Physical-Dimensional Collaboration, A
* Time-Perception-Enhanced Video Grounding Framework With Density-Aware Position Encoding
* TinyMem: Condensing Multimodal Memory for Long-Form Video Action Detection
* TLight: A Triple-Modality Benchmark for Extreme Low-Light Enhancement
* TOA-Only Method for PRI-Pattern Recovery in Multi-Emitter Interleaved Scenarios, A
* Top-Down Compression: Revisit Efficient Vision Token Projection for Visual Instruction Tuning
* Topology Optimization of Magnetocardiographic Array Based on Cardiac Electromagnetic Simulation Model
* Topology-aware multi-teacher distillation for multi-target domain adaptation in retinal vessel segmentation
* TopoMLP++: Toward Strong and Scalable Lane Topology Reasoning in Autonomous Driving
* Toward a Causally-Inspired Evolving World Model for Vision-and-Language Navigation in Continuous Environments
* Toward an Adaptive Cyber Resilience Paradigm of Rail Control Systems in the Digital Era
* Toward Full-Granularity Remote Sensing: Pixel-Level Parsing and Small-Object Segmentation With VLMs
* Toward Generalizable Blind Image Quality Assessment via Domain-Aware Hybrid Knowledge Learning
* Toward Imperceptible Color JPEG Image Hiding: Multi-Range Representations-Driven Adversarial Stego Generation
* Toward Low-Latency Event Stream-Based Visual Object Tracking: A Slow-Fast Approach
* Toward Next-Generation SLAM: A Survey on 3DGS-SLAM Focusing on Performance, Robustness, and Future Directions
* Toward Realistic Low-Light Image Enhancement via ISP-Driven Data Modeling
* Toward Reliable Homography Estimation Under Adverse Degradations: An Optimization-Driven Approach
* Toward Robust Collaborative 3-D Object Detection via Two-Stage Cross-Domain Knowledge Transfer in Autonomous Driving
* Toward Substation Semantic Segmentation: A Benchmark Dataset and a Cross-Attention Embedded Hierarchical Network
* Toward Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setups
* Towards AI-Assisted Sustainable Adaptive Video Streaming Systems: Tutorial and Survey
* Towards automatic control of length for explicit query expansion
* Towards Region-Level No-Reference Image Quality Assessment
* Tracking Large-Scale Shared Bikes With Inertial Motion Learning in GNSS Blocked Environments
* Traffic sign detection framework in low light based on dynamic multi-exposure and gradient concentration algorithms
* Trajectory Planning Method for Unpaved Roads Based on Dynamics Response Prediction, A
* TRAMDiff: Texture Retention Fashion Image Editing With Attention Enhancement and Mask Prediction in Diffusion Model
* TRAN: Texture Response Adjustment Network for Lightweight Single-Image Super-Resolution
* Transcribing Lines of Handwritten Text Using TrOCR: An Encoder-Decoder Model Based on Pre-Trained Image and Text Transformers
* Transformer-driven graph fusion model for circRNA-miRNA interaction prediction
* Transformer-Inspired Convolutional Network for Image Restoration
* TriCD-Net: Triple-Attention Coordinated Cross-Layer Dynamic Network for Few-Shot Medical Image Segmentation
* Triple-Level Topology Awareness Using Hypergraph for Marine Ship Surveillance from SAR Imagery
* Triplet Decomposition and Extensions: A General Framework for Parameter-Efficient Fine-Tuning
* Trusted Mixture-of-Mambas Contrastive Network for Multi-View Clustering
* TSAR-Net: Transfer-Enhanced Local-to-Global Representation Learning for Micro-Doppler Classification of Small Aerial Targets
* TSF-IL: Multimodal imitation learning with temporal-stage fusion
* TSNet: An Image Enhancement Model for Vehicle Patrol
* TTLEKA: Tag Generation and Time-Oriented Latency Encryption with Kerberos Authentication-Based Cloud System for Reducing Vendor Lock-In Issues
* TunCLIP: Adaptive Multi-Scale Zero-Shot Anomaly Detection via Vision-Language Feature Infiltration and Semantic Enhancement
* TVP-Diff: Text-Aware Visual Prompt-Driven Diffusion for Camouflaged Object Detection
* Two-Stage Stochastic Program for Scheduling Bus Service Under Demand Uncertainty
* UAV Fleet Intrusion Detection and Fault Diagnosis for ITS Operations
* UAV-Based Estimation of the Two-Dimensional Spatial Distribution of the Refractive Index Structure Constant
* UAV-Based Highway Slope Inspection Method Based on Multimodal Sensors and Decision-Level Fusion Strategy, A
* UBATrack: Spatio-Temporal State Space Model for General Multi-Modal Tracking
* UDA2L: Unsupervised deformation-aware adaptive learning for medical image registration
* UG-HDR: Uncertainty-Guided HDR Imaging Under Large Motion and Extreme Exposure
* UGMFT: Uncertainty guided multimodal fusion Transformer for multi-source remote sensing classification
* UHDRes: Ultra-High-Definition Image Restoration via Dual-Domain Decoupled Spectral Modulation
* Uncertainty Quantification in Detection Transformers: Object-Level Calibration and Image-Level Reliability
* Uncertainty-aware Gaussian cloud dynamic learning for sEMG motor intention estimation
* UniCond-Garment: Multimodal-Conditioned Diffusion for Fine-Grained Controllable Garment Image Generation
* UniDR: A unified decoupled and re-coupled framework for incomplete-modality fake news detection
* Unified and Fast-Sampling Diffusion Bridge Framework via Stochastic Optimal Control, A
* Unified Metric Learning for Personalized Fashion Recommendations With Fast User Adaptation
* Unified Multi-Application Segmentation of High-Resolution Satellite Images Through Consensus-Based Probabilistic Fusion
* UniFLM: United Segmentation and Measurement on Fetal Limb Ultrasonic Image
* UniNDM: A Unified Noise-Driven Detection and Mitigation Framework Against Sexual Content in Text-to-Image Generation
* Unit-Simplex-Inspired Graph Attention Network for Robust Endmember Determination in Hyperspectral Imagery
* UniTHP: Advancing Unified Representation Learning for Through-Wall Human-Centric Perception
* UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation
* Universal Representation for Real-World Misaligned Infrared-Visible Image Fusion
* Unlocking the potential of open-vocabulary detectors for visual-prompted object detection
* Unraveling the Dynamics and Driving Forces of Desert and Riparian Vegetation in the Lower Reaches of a Typical Inland River Basin, Northwestern China
* Unsupervised Component Decoupling for Fine-Grained Information Quality Evaluation
* Unsupervised Deepfake Detection via Camera Source Clustering and Temporal-Spatial Features
* Unsupervised Incremental Class Discovery via Exploring Self-Distillation Reciprocity Knowledge
* Unsupervised self-optimization learning for moving infrared small target detection
* Untangling context: A Gaussian Splatting-mediated Bayesian framework for crowd counting
* Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis
* UP-Dem: Deep Unrolling Convolutional Sparse Coding for Color Polarization Image Demosaicking
* UPC^2L: Uniform Prototype-Constrained Cross-Domain Contrastive Learning for Imbalanced Hyperspectral Image Classification
* UPhy-Diff: A Text-Guided Multimodal Physical Diffusion Model for Underwater Image Enhancement
* Urban Green Guardians: Quantifying Ecosystem Services of Public Versus Private Trees in a High-Latitude City in Canada
* Using dual uncertainty-aware knowledge distillation to compress image classification models with ownership protection through multimodal biometric traits
* Vectorized HD Map Learning for Autonomous Driving: A Survey of Representations, Architectures, and Future Directions
* Vehicle Classification Based on Multi-Frequency Impedance Magnetic Profiles in Distance Domain
* VET-UNet: A model for retinal vessel segmentation with edge and topology enhancement
* VFC-Net: Point Cloud Completion via Voxel-Based Transformer
* Vicarious Calibration of Thermal Infrared Imagers Using Thermophysical Models of the Lunar Surface
* Video Corpus Moment Retrieval via Decoupled Multimodal Modeling and Unified Localization
* Video-Causal State Space Model (VCSSM) for Video Analysis
* Video-Seer: A Hierarchical Scene Selection and Multi-View Analysis Approach for Zero-Shot Video Question Answering
* Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
* ViKSeR: Visual Knowledge-Driven Self-Reinforcing Reasoning Framework
* ViLID: Multimodal misinformation detection with complementary input- and rationale-level inconsistency signals
* Virtual Covariance Assisted Dual-Task Vision Transformer for Distributed Array DOA Estimation
* Vision-Controllable Language Model for Image-Guided Story Ending Generation
* Vista2Vogue: Identity-preserving fashion pose transfer via explicit geometric anchoring and texture restoration
* VLMSNet: View Large to Measure Shape
* VSS-SAM++: Visual State Space-Aware SAM for 3-D Medical Image Segmentation
* Vulnerabilities in AI-Generated Image Detection: The Challenge of Adversarial Attacks
* Water reflection detection using symmetric attention
* Watermarking Deep Neural Networks With Invisible Trigger Pattern and Low-Weight Masking Strategy
* WDK-Net: Lightweight Wavelet Diffusion With Kolmogorov-Arnold Network for Limited-Angle Cardiac CT Reconstruction
* Weakly supervised 3D instance segmentation without instance-level annotations
* Weakly Supervised Bird's Eye View Motion Prediction With Object Prior
* Weakly Supervised Slender Object Detection Network for Fishing Rods in UAV Inspection Images, A
* Weakly-Correlated Knowledge Distillation for Blind Image Quality Assessment
* Weighted Ensemble ViT-Based Convolution Network for Plant Disease Classification Model Using the Optimization Mechanism and the Feature Fusion Process
* Weighted Feature Graph With Adaptive Label Correlation for Partial Multi-Label Learning
* WHCNet: Wavelet-based Hierarchical Cross Network for multi-modal image fusion
* Wildfire Time-of-Arrival Reconstruction from Satellite Active-Fire Detections: External Evaluation of Variance-Weighted Kriging and Application to South Korea
* Window-Free Transformer for Efficient Single Image Super-Resolution
* WSPM3D: Weakly Supervised Prompted Monocular 3-D Object Detection Using Image-Level Labels
* YOLOv11-RESE: A lightweight network for precise sesame weed detection
* ZeroPIE: Zero-Reference Polarization-Aware Low-Light Enhancement via Physically Derived Illumination-Invariant Priors
* ZeroW-NeRF: Uncertainty-Driven Zero-Watermark Copyright Protection for Neural Radiance Fields
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Index for "2"