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* 24-h Lane Line Detection via Parallel Scene Information Collaboration
* 2D Gaussian Splatting With Pre-Trained Dictionaries for Image Compression
* 4DRE-VIO: 4D Radar-Enhanced Monocular Visual Inertial Odometry for Urban Environments
* 6G-Enabled Autonomous Vehicle Clusters in Expressways: A Collaborative Perception Approach
* 6G-Enabled Intelligent Healthcare Transport Systems: Framework and Resource Allocation Strategy
* Accelerating Resource-Constrained Swarm Robotics With Cone-Based Loop Closure and 6G Communication
* Accelerating the Evolution of Personalized Automated Lane Change Through Lesson Learning
* Active Stereo in the Wild through Virtual Pattern Projection
* Active Suspension and Linear Eddy Current Brake Control for Enhancing Ride Comfort and Safety of High-Speed Trains Equipped With Lift Airfoils
* ADA framework for unsupervised domain adaptation person re-identification
* ADAImpact Tool: Toward a European Ground Motion Impact Map
* Adaptive Computing Offloading and Resource Allocation Strategy for Internet of Vehicles Based on Cloud-Edge Collaboration, An
* Adaptive Control of Bidirectional Platoons With Actuator Saturation and Discontinuous Trajectory Tracking
* Adaptive Deep Reinforcement Learning Framework for AUV Attack-Defense Games, An
* Adaptive feature boosting and distribution refinement for graph clustering
* Adaptive feature selection-based feature reconstruction network for few-shot learning
* Adaptive Intermittent and Optimal Control of Active Vehicle Suspension Systems With State-Dependent Constraints
* Adaptive momentum weight averaging reduces initialization noise
* Adaptive Prior and Long-Range Dependency-Based Learners for Image Inpainting
* Adaptive Step-Length Model Predictive Control for Vehicle Virtual Track Keeping on Superhighways
* Advection-diffusion spatiotemporal recurrent network for regional wind speed prediction
* Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey
* Adversarial Obstacle Placement with Spatial Point Processes for Optimal Path Disruption
* Adversarial spectral perturbation for single-domain generalized object detection
* Agent-Based Control Prompt Tuning for Video-Text Retrieval
* AIoT-Enabled Digital Twin CAVs With a DRL-Based Framework for Trajectory Planning, An
* Airborne Camera Dynamic Target Detection Based on Background Prediction and Semantic Compensation in Surface Environment
* Alleviating One-to-Many Mapping in Talking Head Synthesis With Dynamic Adaptation Context and Style Adapter
* AMITA: Attribute-Guided Masked Image-Text Alignment for Multi-Label Image Representation
* Analysing Variables Associated With Driver Reaction During the Transition From Automated to Manual Driving
* Analytic Hierarchy Process in Discomfort Cause Recognition With Geospatial Data Correlation
* Anchor-Based Incomplete Multi-View Clustering via Joint Feature and Structure Consensus Learning
* Anomalous Sound Detection Network Based on Time-Frequency Attention and Improved One-Class Softmax, An
* Application of 6G Technology and Back Propagation Neural Network in the Smart Public Transport System, The
* Approach to Multi-AAV Ship Detection Based on Mobile Edge Computing Scenarios, An
* Approximate Scenario-Based Model Predictive Control for Battery Thermal Management in Electric Vehicles
* Arbitrary Style Transfer via Cube and Cube Root Network and Warping Constraint
* Are deep learning models robust to partial object occlusion in visual recognition tasks?
* ARPNet: Adaptive Reliable Points Selection Network for Camouflaged Object Detection
* ArtGlyphDiffuser: Text-driven artistic glyph generation via Style-to-CLIP Projection and Multi-Level Controlled diffusion
* Artificial intelligence content detection techniques using watermarking: A survey
* ASRL: Adaptive Sparse Representation Learning for LiDAR Point Cloud Geometry Compression
* Assessing Fire Station Accessibility in Guiyang, a Mountainous City, with Nighttime Light and POI Data: An Application of the Enhanced 2SFCA Approach
* Assessing Spatial Accessibility Uncertainty with Dempster-Shafer Theory: A Comparison of Potential and Revealed Accessibility
* Assessing the noise robustness of Class Activation Maps: A framework for reliable model interpretability
* Asymmetric Energy Storage Integrated Modular Multilevel Converter for Unbalance and Power Factor Compensation of Advanced TPSS
* Asyn-Light: Asynchronous Traffic Signal Cooperative Control Through Spatial-Temporal Transformer
* Attack Vectors for Face Recognition Systems: A Comprehensive Review
* Attention Transfer-Based Deep Distilled Architecture for 6G Driven-Smart Vehicle Transportation System
* Attention-assisted multilevel fusion framework for generalized iris presentation attack detection
* Attention-Guided Multiscale Interaction Network for Face Super-Resolution
* AuthSim: Toward Authentic and Effective Safety-Critical Scenario Generation for Autonomous Driving Tests
* Automated Detection of Beaver-Influenced Floodplain Inundations in Multi-Temporal Aerial Imagery Using Deep Learning Algorithms
* Automatic Label Assignment for Object Detection
* Autonomous Discovery of Cyber Attack Paths With Complex Causal Relationships Among Optional Actions
* Autonomous Driving Small-Scale Cars: A Survey of Recent Development
* Autonomous Intersection Management via Prior-Enhanced Multi-Agent Constrained Decision Transformer
* Autonomous Operations With a Safe Reinforcement Learning Approach for Urban Rail Transit
* AutoScaler: Self scale alignment for handwritten mathematical expression recognition
* BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
* Bayes-CAL: Robust Cross-Modal Alignment by Bayesian Approach for Few-Shot OoD Generalization
* Bayesian classifier calibration based on synthesized samples for zero-shot Chinese character recognition
* Bayesian Critique-Tune-based Reinforcement Learning With Adaptive Pressure for Multi-Intersection Traffic Signal Control
* Behavior Trees in Functional Safety Supervisors for Autonomous Vehicles
* Beyond geometry: The power of texture in interpretable 3D person ReID
* BHIS: A Bayesian-Heuristic Inference System for Recognition of Walking Gait Phases
* Bi-granularity balance learning for long-tailed image classification
* Bi-Level Transfer Learning for Lifelong-Intelligent Energy Management of Electric Vehicles
* Bidding-Enabled Resource Pricing for Computation Offloading in 6G Vehicle-to-Edge Networks
* Bidirectional-Modulation Frequency-Heterogeneous Network for Remote Sensing Image Dehazing
* Bike-Sharing Demand Prediction Based on Dynamic Time Warping and Spatio-Temporal Graph Attention Network
* Bilateral Bargaining-Based Adaptive Video Transmission: A Frame Rate Perspective
* BiSeR-LMA: A Bidirectional Semantic Reasoning and Large Model Enhancement Approach for Text-Video Cross-Modal Retrieval
* Black-Box Steganography for Large Language Models
* BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch
* Boundary Voting Network for Ambiguity-Aware Timestamp-Supervised Action Segmentation
* Boundary-Aware Sentence-Gloss Alignment With Semantic Similarity Measurement for Continuous Sign Language Recognition
* BrainCLIP: Brain Representation via CLIP for Generic Natural Visual Stimulus Decoding
* Bridging attention fusion-based multi-view graph neural networks for spatial gene expression prediction
* BTG-Net++: Enhanced Bi-Directional Task-Guided Network for Few-Shot Fine-Grained Image Classification
* Burst image super-resolution via multi-cross attention encoding and multi-scan state-space decoding
* CAgMLP: An MLP-like architecture with a Cross-Axis gated token mixer for image classification
* Camera pose in SfT and NRSfM under isometric and weaker deformation models
* Caption Assisted Multimodal Large Language Model for Video Moment Retrieval
* carving hierarchical information integration network for medical image segmentation, A
* Cascaded neural memory ODEs for predicting fluence maps in rectal cancer IMRT
* CAT-TPT: Class-Agnostic Text-based Test-time Prompt Tuning for Vision-Language Models
* Causal Intervention Method for Domain Generalization with a Self-Supervised Auxiliary Task, A
* Causal unsupervised semantic segmentation
* CDAF: Cross-Modal and Dual-channel Upsample Adaptive Fusion network for Point Cloud Completion
* CECF: A DNN-Based Energy-Efficient Cloud-Edge Collaboration Framework for Intelligent Workload Scheduling in 6G-Enabled Transportation Systems
* CEDFlow++: Latent Contour Enhancement for Dark Optical Flow Estimation
* Central point link learning guided sparse dynamic diagonal embedding for feature selection
* CFDHI-Net: Correlation-Driven Feature Decoupling and Hierarchical Integration Network for RGB-Thermal Semantic Segmentation
* CGATracker: Correlation-Aware Graph Alignment for Referring Multi-Object Tracking
* Class-Specific Discriminability and Multiscale Information-Based Multiview Feature Selection
* ClipMix for Domain Generalization
* Clustered Federated Learning With Adaptive Pruning for 6G Edge-Intelligent Transportation
* Clustering-guided contrastive prototype learning: Towards semi-supervised medical image segmentation
* CM-CCL: Collaborative multi-scale concept-cognitive learning for knowledge discovery
* CODNet: Context-based object detection network for multimodal image captioning and virtual question answering
* Coherent Periodic Signal Acquisition for LEO Navigation: A Zak Transform Approach
* Collaborative Decision Making With Hybrid Deep Reinforcement Learning for Connected and Autonomous Vehicles in Mixed Traffic
* Collaborative Fair Route Planning in Decentralized Platforms: A Game Theoretic Perspective
* Collaborative Physics-Informed Neural Dynamics Approach for Autonomous Vehicles With Nonconvex Safety-Critical Constraints
* Compensator-Based Fixed-Time Prescribed Performance Control of Vehicular Platoon With Input Nonlinearities: A Performance Boundary Self-Adjusting Approach
* Complementary bidirectional fusion for multi-view graph clustering
* Comprehensive Information Extraction With Separable Representation Learning for Multi-View Clustering
* Comprehensive Review of Drone-Based Autonomous Driving Datasets: Methodology, Taxonomy, and Prospects, A
* Comprehensive Review of Few-Shot Action Recognition, A
* Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning, A
* Comprehensive Survey on Self-Supervised Learning for Recommendation, A
* Conditional Diffusion-Based Crack Segmentation Model: ConditionCrack Segmentation, A
* Confidence-Driven Unimodal Interference Removal for Enhanced Multimodal Object Detection
* Conflicts-Free, Speed-Lossless KAN-Based Reinforcement Learning Decision System for Interactive Driving in Roundabouts, A
* ConsistencyTrack: A robust multi-object tracker with a generation strategy of consistency model
* Consistent Assistant Domains Transformer for Source-Free Domain Adaptation
* Constrained Sampling-Based MPC Using Path Integral for Collision-Free Robot Manipulation
* Constructing Sustainable Humanitarian Relief Equity Allocation-Transportation Problem by Branch-and-Cut Algorithm
* Contextual Guidance Network for Real-Time Semantic Segmentation of Autonomous Driving
* Contrastive-Domain Mean Teacher for Domain Adaptive Object Detection
* Convolutional Dual-Attention-Network (CDAN): A multiple light intensities based driver emotion recognition method
* Cooperative Fleet Lane Changing With Multi-Group Splitting and Merging Based on Vehicular Sensor Networks
* Cooperative Transmission Algorithm of RIS-Assisted Intelligent Transportation System Under Aggregated Interference
* CORE-CLIP: Smart collaborative reasoning driven by CLIP for human-object interaction detection
* Core-Periphery Multi-Modality Feature Alignment for Zero-Shot Medical Image Analysis
* CPSL: A semi-supervised framework with class prototype-based modeling for combating noisy labels
* Crash-Based Safety Testing of Autonomous Vehicles: Insights From Generating Safety-Critical Scenarios Based on In-Depth Crash Data
* Cross-Attention With Conditional Matching for Multi-Target Domain Adaptation
* Cross-Attribute Feature-Perceptive Driver Emotion Recognition in Real Scenarios
* Cross-domain aggregation frequency fusion transformer for lightweight image super-resolution
* Cross-Domain Few-Shot Medical Image Segmentation via Dynamic Semantic Matching
* Cross-Domain Few-Shot Remote Sensing Object Classification via Triplet Relation-Aware Metric
* Cross-Driver Domain Generalization for Improved Drowsiness Recognition Based on EEG Signals
* Cross-modal generalizable visual-language models via inter-modal bidirectional supervision for enhanced pathology image recognition
* Cross-Modal Pedestrian Behavior Prediction: A Dual-Task Approach with Progressive Denoising Attention and CVAE
* Cross-Source Place Recognition for Unmanned Aerial-Ground Vehicles With Low-Overlap and Varying-Density Point Cloud
* CrossFlow: Learning cost volumes for optical flow by cross-matching local and non-local image features
* CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental Learning
* CTSG-Net: A Fine-Grained Intersection Queue Length Prediction Model at a Network Scale
* Curiosity-Driven Distributional Soft Actor-Critic for AUV Anti-Disturbance Path Tracking
* Cybersecurity Challenges in the EV Charging Ecosystem
* DADD: Direct Authentication With Vehicles From Different Domains
* DAHI: a fast and efficient density aided hyper inference technique for large scene object detection
* Data imputation by pursuing better classification: A supervised kernel-based method
* Data-Driven Analysis and Optimization of Container Terminal Operations: A Digital Yard Feature Model With Deep-Tree Cascaded Regression
* Data-Driven and Kinematics-Aware Approach to Reconstruct Full-Sample Vehicle Trajectories From Low-Quality Roadside Perception Data, A
* Data-Driven Prescribed Performance Lane-Changing Control for Vehicle Platoons
* Data-Driven Resilience Framework of Directionality Configuration Based on Topological Credentials in Road Networks, A
* Data-Driven Spatial Optimization of Elderly Care Facilities: A Study on Nonlinear Threshold Effects Based on XGBoost and SHAP: A Case Study of Xi'an, China
* De-Biasing Correction for Scene Graph Generation Based on Relation Correlation and Probability Expectation
* De-Simplifying Pseudo Labels to Enhancing Domain Adaptive Object Detection
* Decentralized Human-Like Ramp Merging Decision-Making and Control Based on a Stochastic Potential Game
* DECF-FGVC: A discriminative enhancement and complementary fusion approach for fine-grained bird visual classification
* DecoupleNet: Domain-specific task decoupling network for low-light image enhancement
* Deep Hardness-Aware Hashing for Large-Scale Image Retrieval
* Deep learnable spectral decomposition of 3D baby faces
* Deep Learning Based Key Information Extraction from Business Documents: Systematic Literature Review
* Deep Learning for Human Parsing: A Survey
* Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations
* Deep portfolio selection with contrastively aligned cross-modal attention
* Deep Semantic Prototype Alignment for Incomplete Multi-View Clustering
* Deep Subspace Clustering Under Class Relation Constraint
* Deep-Learning-Empowered Super Resolution: A Comprehensive Survey and Future Prospects
* DeepDCT-VO: 3D directional coordinate transformation for low-complexity monocular visual odometry using deep learning
* DeepJSCC-PCG: Deep Joint Source Channel Coding for Point Cloud Geometry
* Defending a city from multi-drone attacks: A sequential Stackelberg security games approach
* Defending against adversarial attacks via an Adaptive Guided Denoising Diffusion model
* degree-corrected stochastic block model for community discovery in signed networks with heterogeneous degree distributions, A
* Delay Coprime Array: A New Sparse Linear Array for Fast and Robust DOA Estimation
* Delving Into the Training Dynamics for Image Classification
* dense attention Mamba-based network with Adaptive Sigmoid Fowlkes-Mallows Loss for enhanced medical image segmentation, A
* Dense hazy image dehazing network with progressive learning paradigm and frequency decoupling enhancement
* DenseFormer-MoE: A Dense Transformer Foundation Model With Mixture of Experts for Multi-Task Brain Image Analysis
* DeRainMamba: A Frequency-Aware State Space Model With Detail Enhancement for Image Deraining
* Design of Electromagnetic Road Markings for Implementing 77 GHz Millimeter-Wave Radar Sensing
* Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions
* Development of an Ontology-Based Framework to Enhance Geospatial Data Discovery and Selection in Geoportals for Natural-Hazard Early Warning Systems
* DFA-MOT: A Dynamic Field-Aware Multi-Object Tracking Framework for Uncrewed Aerial Vehicles
* DIA: Deriving linguistic information from auxiliary languages for remote sensing image captioning
* DiffChar: A fast conditional diffusion model for air-writing Chinese character generation
* DiffClick: Click-differentiated enhancement network for interactive segmentation
* Diffeomorphism-Transformed Iterative Linear Quadratic Regulator for Constrained Motion Planning in Autonomous Driving
* Direct Vehicle Tracking Algorithm Based on Adaptive Parallel Factor Decomposition, A
* Discovering SpatioTemporally Invariant Event Patterns From Mobility Data
* Disease-Informed Adaptation of Vision-Language Models
* Distributed Adaptive Backstepping Control for Vehicular Platoons With Mismatched Disturbances Using Vector String Lyapunov Functions
* Distributed Collaborative Computing for Task Completion Rate Maximization in Vehicular Edge Computing
* Distributed Driver Emotion Prediction for Intelligent 6G Internet of Vehicles
* Distributed Traffic Control in Complex Dynamic Roadblocks: A Multi-Agent Deep Reinforcement Learning Approach
* Diversifying Latent Flows for Safety-Critical Scenarios Generation With CARLA Simulator
* DLPP-UL: Dose-level parameter prompted unpaired learning for low-dose CT image restoration
* DMLViT: Dynamic Multi-Scale Local Vision Transformer for Object Counting in Congested Traffic Scenes
* DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation Using Limited Data
* DPDNet:The lightweight stereo matching network based on disparity probability distribution consistency
* DreamArtist: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter
* Driving Behavior Classification Method Based on Fourier Transform Multimodal Fusion
* Driving Style Evaluation: Novel Comfort Scales for Urban Buses
* DT-CTFP: 6G-Enabled Digital Twin Collaborative Traffic Flow Prediction
* Dual Model Pruning Enables Efficient Federated Learning in Intelligent Transportation Systems
* Dual-Depth Unified Joint Optimization: Adaptive Curvature-Based Compression
* Dual-frequency awareness network for lightweight super resolution
* DWMTN: A Dynamic Mamba-Transformer Network With Adaptive Feature Fusion for Automatic Modulation Recognition
* Dynamic Feature Rejection Based on Geometric Constraint for Visual SLAM in Autonomous Driving
* Dynamic Scene Understanding for Autonomous Driving Using 2D-3D Convolution With Voxel Key Points
* Dynamic sparse and weight allocation-based text-driven person retrieval
* Dynamic Spatial-Temporal Graph Convolutional Neural Networks Approach for Active Mode Traffic Prediction
* Dynamic Watermarking Scheme to Attack-Detection-Based Resilient Set-Membership Estimation for 2-D Systems Over Sensor Networks, A
* DYO-SLAM: Visual Localization and Object Mapping in Dynamic Scenes
* EADMM: An Evolving Alternating Direction Method of Multipliers for Vehicular Computation Offloading Based on Robust Gain and Cloud-Edge-End Collaboration
* ECC-NeRF: Anti-Aliasing Neural Radiance Fields With Elliptic Cone-Casting for Diverse Camera Models
* EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
* EDFusion: Edge-guided attention and dynamic receptive field with dense residual for multi-focus image fusion
* Edge Computing Enabled Large-Scale Traffic Flow Prediction With GPT in Intelligent Autonomous Transport System for 6G Network
* Edge-Preserving Image Smoothing Based on Local Structure Reconstruction
* Efficient Algorithm for Large Scale Electric Vehicle Routing Problem With Charging Capacity Constraint
* Efficient Arc Spline Approximation of Large Sized Complex Lane-Level Road Maps
* Efficient Distillation Using Channel Pruning for Point Cloud-Based 3D Object Detection
* Efficient Hybrid Model Based on IPOA Optimized BiGRU-AM Network for Maritime Traffic Trajectory Prediction, An
* Efficient Maximum Entropy Reinforcement Learning Framework Guided by Expert Policies: An Application in Autonomous Driving
* Empirical Study on Training Paradigms for Deep Supervised Hashing, An
* Energy Approximated Dynamic Subattractor for Adjusting Obstacle Avoidance Trajectories
* Energy Efficiency Maximization in UAV-Assisted Intelligent Autonomous Transport System for 6G Networks With Energy Harvesting
* Energy Efficient Task-Offloading for DT-Powered IRS-Aided Vehicular Communication Network Underlaying UAV
* Energy-aware and dynamic training of deep neural networks (EADTrain) for sustainable AI
* Energy-Efficiency Formation Control of AUVs via Angle Measurement: A Minimally Rigid-Based Solution
* Energy-Efficient Federated Learning Training Optimization for Digital Twin Driven 6G Air-Ground Integrated Vehicular Networks
* Enhanced Crowd Counting with Weighted Attention Network and Multi-Scale Feature Integration
* Enhanced Mask2Former With Multi-Scale and High-Resolution for Concrete Bridge Crack Semantic Segmentation
* Enhanced Metro Resilience Assessment Combining Dynamic Cascade-Based Simulation and Deep Learning-Based Attributed Graph Clustering
* Enhanced Security Index Modulation for STAR-RIS Aided Intelligent Autonomous Transport Networks
* Enhanced visible light detail and infrared thermal radiation for dual-mode imaging system via multi-information interaction
* Enhancing 3D multi-organ segmentation via uncertainty guidance and boundary knowledge distillation
* Enhancing cloud security with authentication for securing sensitive information
* Enhancing Feature Learning With Hard Samples in Mutual Learning for Online Class Incremental Learning
* Enhancing federated learning through exploring filter-aware relationships and personalizing local structures
* Enhancing Fuel Cell Electric Vehicle Efficiency With an Information-Bridged Hierarchical Reinforcement Learning Method
* Enhancing Land Use Efficiency Assessment Through Built-Up Area-Built-Up Volume Trajectories: Integrating Vertical Urban Growth into SDG 11.3.1 Monitoring
* Enhancing Mapless Trajectory Prediction Through Knowledge Distillation
* Enhancing predictive performance on long-tail trajectories via clustering and specialized decoders
* Enhancing Transportation Reliability: Refined Fault-Tolerant Control for Fixed-Wing AAVs Under Constraints and Actuator Imperfections
* Ensemble-Based Hybrid Model for the Detection of Attacks in the Internet of Vehicular Things, An
* ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound Detection
* Ethics of Foundation Models in Computational Pathology: Overview of Contemporary Issues and Future Implications
* Evaluation of Spatial Variability of Soil Nutrients in Saline-Alkali Farmland Using Automatic Machine Learning Model and Hyperspectral Data
* Evaluation of Underground Space Resources in Ancient Cities from the Perspective of Organic Renewal: A Case Study of Shaoxing Ancient City
* Event-Triggered Interval Type-2 Fuzzy Consensus Control of Full-Vehicle Suspension Systems Using a Leader-Following Approach
* Explainable deepfake detection across different modalities: An overview of methods and challenges
* Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual Tracking
* Exploration of Differences in Housing Price Determinants Based on Street View Imagery and the Geographical-XGBoost Model: Improving Quality of Life for Residents and Through-Travelers
* Exploring Factors Behind Weekday and Weekend Variations in Public Space Vitality in Traditional Villages, Using Wi-Fi Sensing Method
* Exploring the Spatial Relationship Between Severe Depression, COVID-19 Case Rates, and Vaccination Rates in US Counties: A Spatial Analysis Across Two Time Periods
* Extrinsic-and-Intrinsic Reward-Based Multi-Agent Reinforcement Learning for Multi-UAV Cooperative Target Encirclement
* F-MDM: Rethinking image denoising with a feature map-based Poisson-Gaussian Mixture Diffusion Model
* Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey
* Fair Federated Learning for Multi-Task 6G NWDAF Network Anomaly Detection
* Fall detection using deep learning with features computed from recursive quadratic splits of video frames
* FastFace: Fast-Converging Scheduler for Large-Scale Face Recognition Training With One GPU
* Fault-Tolerant Control for Autonomous Underwater Vehicles With Prescribed Tracking Accuracy
* FCNet: A feature complementary network for nighttime flare removal
* feature selection method based on clonal selection with beneficial noise, A
* Federated Deep Reinforcement Learning-Based Intelligent Surface Configuration in 6G Secure Airport Networks
* Federated Learning and Digital Twin-Enabled Distributed Intelligence Framework for 6G Autonomous Transport Systems
* Few-Samples Target Recognition Based on Dual-Generation Network Data Augmentation and Feature Fusion
* Few-Shot Learning for Medical Image Segmentation: A Review and Comparative Study
* FFENet: A frequency fusion and enhancement network for camouflaged object detection
* Field-of-View IoU for Object Detection in 360° Images
* Final Parking State Optimization and Two-Stage Path Planning in Dynamic Parking Lot Considering Comfort of Passenger Boarding and Alighting
* Fine-Grained Alignment and Interaction for Video Grounding With Cross-Modal Semantic Hierarchical Graph
* Fine-Grained Time and Hidden Feature Learning for Interpretable Hard Landing Prediction Based on QAR Data
* FineBio: A Fine-Grained Video Dataset of Biological Experiments with Hierarchical Annotation
* Finite-Size Convergence Bound of Graph Convolutional Networks by Graphon Analysis
* Fixed-Time Sliding-Mode Lateral-Longitudinal Control for Vehicle Platoon With Strict Lane Constraints and Recoverable Spacing Policy
* Flight Mastery in Turbulent Skies: Shared Control and Curriculum Reinforcement Learning for Crosswind Landing
* Fly, Sense, Compress, and Transmit: Satellite-Aided Airborne Secure Data Acquisition in Harsh Remote Area for Intelligent Transportations
* FM-APP: Foundation Model for Any Phenotype Prediction via fMRI to sMRI Knowledge Transfer
* FMAPLS: Bayesian Label Shift Estimation Based on Dynamic Dirichlet Parameter Adaptation
* FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks
* FPEVO: Fused point-edge visual odometry for low-structured and low-textured scenes
* FRCAE: Feature regularization meta-learning with channel-wise attention expansion
* Frequency-Aware Implicit Neural Representation for Multi-Dimensional Data Recovery
* Frequency-enhanced contextual conversion network for esophageal lesion segmentation
* From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehave
* From Panoptic to Secure and Privacy-Preserving Lateral Surveillance in Vehicle Restricted Areas
* From Prediction to Planning: Comprehensive Uncertainty Management in Autonomous Driving
* Full-Stage Pseudo Label Quality Enhancement for Weakly-Supervised Temporal Action Localization
* FuPaSCo: Long-range and local context fusion for 3D panoptic scene completion
* Fusion of window controls to recognize and analyze erasable patterns over data streams
* Future UAV/Drone Systems for Intelligent Active Surveillance and Monitoring
* Gait Adaptation and Iterative Control: A Switched Systems Optimization Framework for Quadrupedal Robots
* GBK-DPC: Density peak clustering based on granular ball with K-nearest neighbor
* GC-GS: Gradient control Gaussian splatting with various image degradation
* general aggregation federated learning intervention algorithm based on do-calculus, A
* general outlier filtering method for feature matching via local motion consistency based Markov network, A
* Generalization-preserving adaptation of vision-language models for open-vocabulary segmentation
* Generalized Concordant Vision Transformer With Masked Image Tokens for Object Detection
* Generalized Contour Vibration Model for Building Extraction, A
* Generalized Nonuniform Sampling Reconstruction: Stability Analysis and Error Bounds
* Generating Realistic Urban Patterns: A Controllable cGAN Approach with Hybrid Loss Optimization
* Generic Scene Graph Generation Model with Hierarchical Prompt Learning
* GeoJSEval: An Automated Evaluation Framework for Large Language Models on JavaScript-Based Geospatial Computation and Visualization Code Generation
* GlassMolder: Transparent Object Reconstruction With Silhouette-Guided Object-Centric Diffusion
* GLMambaNet: Mamba-based decoder with local detail enhancement for semantic segmentation of remote sensing imagery
* Globally localized alignment with category shifts for multisource domain adaptation
* Gloss-free Sign Language Translation: An unbiased evaluation of progress in the field
* GNN-based primitive recombination for compositional zero-shot learning
* Graph Convolutional Reinforcement Learning-Guided Joint Trajectory Optimization and Task Offloading for Aerial Edge Computing
* Graph Neural Network-Based GrUNet and Attention Transformer Adjacency Matrix for Video Denoising
* GraphMamba: Graph-driven spatial order-aware Mamba for medical image segmentation
* GraphMSR: A Graph Foundation Model-Based Approach for MRI Image Super-Resolution with Multimodal Semantic Integration
* GrDBN-GPR: A Next-Gen Road Feature Inference Framework for Traffic Crashes Frequency Prediction
* GRE-Net: A forgery image detection framework based on gradient feature and reconstruction error
* GridCLIP: One-stage object detection by grid-level CLIP representation learning
* Guest Editorial Intelligent Autonomous Transportation System With 6G
* Guest Editorial Special Issue on Advancements in Foundation Models for Medical Imaging
* Guiding Audio-Visual Question Answering with Collective Question Reasoning
* Haar Nuclear Norms With Applications to Remote Sensing Imagery Restoration
* Handheld Millimeter-Wave Imaging Method With Two-Dimensional Phase Compensation, A
* Harmonizing Metric Discrepancy for Cross-Modal Object Re-Identification
* Harnessing GPS Spatiotemporal Big Data to Enhance Visitor Experience and Sustainable Management of UNESCO Heritage Sites: A Case Study of Mount Huangshan, China
* HiCur-NPC: Hierarchical Feature Fusion Curriculum Learning for Multi-Modal Foundation Model in Nasopharyngeal Carcinoma
* Hierarchical Bipartite Time-Varying Formation Containment Control for Large-Scale Multiagent Systems
* Hierarchical Economic Model Predictive Control for Eco-Driving of Electric Vehicles
* Hierarchical Predictive Control of Network Traffic Signals Using Link Transmission Model With Queue Dynamics
* Hierarchical Semantic Compression for Consistent Image Semantic Restoration
* Hierarchical-Learning-Based Task Assignment for Heterogeneous Multi-AUV-UG Collaborative System to Collect Data From Underwater Sensors
* High Adversarial Robustness Network: Adaptive Positional Encoding and Parallel Attention for Obstacle Recognition in Autonomous Driving
* High Precision CNN Predictor of Color Images for Reversible Data Hiding
* High-Fidelity Ultrasonic Radar In-the-Loop Accelerated Test for Automatic Parking Systems
* High-Rate Monocular Depth Estimation via Cross Frame-Rate Collaboration of Frames and Events
* High-uniformity panoramic infrared optical system design based on segment-wise dynamic curvature and gradient descent optimization
* Highly-Secure and Efficient Certificateless AKA for Vehicular Access Networks
* Hough Voting-Based 2-Point RANSAC Solution to the Perspective-n-Point Problem, A
* Hub Network Design for Strategic Autonomous Shuttle Deployment
* Human-Machine Shared Control Approach for the Takeover of Cooperative Adaptive Cruise Control
* Hybrid Heuristic Algorithm for Optimizing the Optimal Landing Time Window Problem in Intelligent Air Transportation Systems, A
* Hybrid Near- and Far-Field Communications for RIS-UAV System: Novel Beamfocusing Design
* Hybrid of Neural Network and Physics-Based Estimator for Vehicle Longitudinal Dynamics Modeling Using Limited Driving Data
* Hypercube Graph Self-Attention Mechanisms for Intelligent Vehicular Intrusion Detection in Autonomous Transport Systems
* H²DGL: Adaptive Metapath-Based Dynamic Graph Learning for Supply Forecasting in Logistics System
* IBSD: Iterable Black-Box Self-Defense Against Backdoor Attacks
* IDEA: Image description enhanced CLIP-adapter for image classification
* iFLOW: An Intelligent and Scalable Multi-Model Federated Learning Framework on the Wheels
* Image compression using optimal transport mapping based on ranking visual saliency
* Image Forgery Localization with Sparse Reward Compensation Using Curiosity-Driven Deep Reinforcement Learning
* Image harmonization in complex degradation scenes
* Imagined Speech Decoding by Learning Consensus Graph From RKHS-Based Multi-View EEG Features
* Implementation and Validation of Distributed Bundle Adjustment for Super Large Scale Datasets
* Improved bimodal segmentation of multi-light images based on feature fusion
* Improved NSGA-II Algorithm-Based SDVRP Considering Simultaneously Pickup and Delivery of Multi-Commodity
* Improving Robustness of Point Cloud Analysis Through Perturbation Simulation and Distortion-Guided Feature Augmentation
* Improving Self-Supervised Medical Image Pre-Training by Early Alignment With Human Eye Gaze Information
* Improving the Adversarial Transferability via Histogram Transformation
* Improving uncertainty estimation in deep neural networks by modeling class and instance uncertainty
* In-Vehicle Digital Representation Model for Identifying the Channel and Level of Driver Workload Based on EEG Signals, An
* InceptionWTMNet: A hybrid network for Alzheimer's Disease detection using wavelet transform convolution and Mixed Local Channel Attention on finely fused multimodal images
* Incomplete Multiview Clustering Using Discriminative Feature Recovery and Tensorized Matrix Factorization
* Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding
* Integrated Framework for Multi-Objective Optimization of Night Lighting in Urban Residential Areas: Synergistic Control of Outdoor Activity Places Lighting and Indoor Light Trespass, An
* Integrated Internal Boundary Control and Ramp Metering in Lane-Free Highway Systems: A Combined Feedback Linearization and MPC Approach
* Integrated Isochrone-Based Geospatial Analysis of Mobility Policies and Vulnerability Hotspots in the Lazio Region, Italy, An
* Integrating Remote Sensing and Geospatial-Based Comprehensive Multi-Criteria Decision Analysis Approach for Sustainable Coastal Solar Site Selection in Southern India
* Intelligent Driving Based on Multi-Objective Shifting Decision Method for Vehicle Transmission System
* Intelligent Fault-Tolerant Control for High-Speed Maglev Transportation Based on Error-Driven Adaptive Fuzzy Online Compensator
* Intelligent Optimization Clustering Algorithm for Driver Risk Tendency Recognition in Intelligent Transportation Systems, An
* Intelligent Road Network Management Supported by 6G and Deep Reinforcement Learning
* Intelligent Traffic Flow Control System Based on 6G and Optimized Genetic Algorithm, The
* Intelligent Traffic Safety System Based on 6G Technology and Random Forest Algorithm, The
* Inter-image Token Relation Learning for weakly supervised semantic segmentation
* Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach
* Interpreting capsule networks for image classification by routing path visualization
* Intra-Task Mutual Attention-Based Vision Transformer for Few-Shot Learning
* Intrinsic Decomposition-Based Curriculum Learning for Low-Light Image Enhancement
* Introducing Governing Dynamics for IS3C in Intelligent Transportation Systems
* Introduction to Sliced Optimal Transport: Foundations, Advances, Extensions, and Applications, An
* Intrusion Detection for Future ITS: Integrated Knowledge Graph and Artificial Intelligence
* Inversion Attack Framework for Deep Face Hashing
* IP-CAM: Class activation mapping based on importance weights and principal-component weights for better and simpler visual explanations
* Iterative Caption Generation with Heuristic Guidance for enhancing knowledge-based visual question answering
* JOANet: An Integrated Joint Optimization Architecture Making Medical Image Segmentation Really Helped by Super-Resolution Pre-Processing
* Joint airport runway segmentation and line detection via multi-task learning for intelligent visual navigation
* Joint multi-dimensional dynamic attention and transformer for general image restoration
* Joint Non-Line-of-Sight Predictive Beamforming and Power Allocation for ISAC-Assisted Vehicular Networks
* Joint Resource Allocation for V2X Communications With Multi-Type Mean-Field Reinforcement Learning
* Joint Timetabling and Vehicle Formation Design for Autonomous Modular Buses Under Two-Level Route Layout Mode
* JSF: A joint spatial-frequency domain network for low-light image enhancement
* KANBalance: Kolmogorov-Arnold network mitigates class imbalance
* KD-Mamba: Selective state space models with knowledge distillation for trajectory prediction
* Knowledge NeRF: Few-shot novel view synthesis for dynamic articulated objects
* Knowledge-Decoupled Functionally Invariant Path With Synthetic Personal Data for Personalized ASR
* Knowledge-Driven Multi-Branch Interaction Network for Vehicle Re-Identification
* Knowledge-Sharing Evolutionary Algorithm for Multi-View Electric Vehicle Charging Station Location, A
* L1-Based Prediction for Lossless Image Compression
* Label-Semantic-Based Prompt Tuning for Vision Transformer Adaptation in Medical Image Analysis
* LADM Spatial Plan Information Country Profile for Serbia, The
* LAM-YOLO: Drones-based small object detection on lighting-occlusion attention mechanism YOLO
* Large-Scale Multiobjective Model Pruning for Intelligent Transport Systems
* Large-Scale Multiobjective Vehicle Task Offloading Optimization Based on Cloud-Edge-End Collaboration for 6G Enabled Transport Systems
* Layered EV Braking Stability Control Approach Considering the Driver's Braking Intention and Vehicle Condition, A
* Learned-MAP-OMP: An unrolled neural network for signal and image denoising
* Learning Extensible Series-Parallel Lookup Tables for Efficient Image Super-Resolution
* Learning feature-enhanced multi-scale network for SE(3)-equivariant motion prediction
* Learning from not-all-negative N-tuples and unlabeled data
* Learning Joint Rebalancing and Dynamic Pricing Policies for Autonomous Mobility-on-Demand
* Learning Latent Part-Whole Hierarchies for Point Clouds
* Learning Spatio-Temporal Dynamics for Trajectory Recovery via Time-Aware Transformer
* Learning Switchable Priors for Neural Image Compression
* Learning-Based Approach for Train Timetable Rescheduling With Robustness Guarantee, A
* Let Images Speak More: An Efficient Method for Detecting Image Manipulation History
* Leverage cross-domain variations for generalizable person ReID representation learning
* Leveraging Multiple Source Cities in Selective Transfer Learning for Traffic Prediction With Limited Data
* Leveraging spatial-channel attention in U-Net for enhanced segmentation of martian dust storms
* Levitation Performance of the High-Temperature Superconducting Scaled-Vehicle Under Magnetic Field Irregularity by Six Degrees of Freedom of Electromagnetic Force-Dynamics Coupling Model
* LFD-IDS: Bagging-Based Data Poisoning Attacks Against Cyberattack Detection in Connected Vehicle
* Lightweight and Provably Secure Privacy-Preserving Implicit Authentication Protocol Using Weighted-MinHash for IoV Environment
* Lightweight Spatial-Channel-Frequency Network for RGB-Thermal Salient Object Detection
* Lightweight Transformer-Based Collision Detection and Load Estimation Scheme for Massive Random Access in 6G Satellite-Ground Integrated Vehicular Networks, A
* Likelihood Ratio-Based Approach to Segmenting Unknown Objects, A
* Linear Surrogate-Based Algorithm for Fitting Gaussian Mixture Functions, A
* LLM-Attacker: Enhancing Closed-Loop Adversarial Scenario Generation for Autonomous Driving With Large Language Models
* LMM-VQA: Advancing Video Quality Assessment With Large Multimodal Models
* Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces
* Local QFAPHFMs magnitude domain color image watermark detector based on a truncated Weibull-Rayleigh distribution
* Local-to-Global Progressive Association Framework for Vision-Based Vehicle Trajectory Reconstruction, A
* Locally adaptive one-class classifier fusion with dynamic Lp-Norm constraints for robust anomaly detection
* Low-Rank Tensor Meets Deep Prior: Coupling Model-Driven and Data-Driven Methods for Hyperspectral Image Reconstruction
* MA-Neck: Mutual attention-based feature enhancement for lightweight object detection
* Machine Learning-Based Resource Allocation in 6G Integrated Space and Terrestrial Networks-Aided Intelligent Autonomous Transportation
* Macro-expression-guided micro-expression recognition: A motion similarity perspective
* MaDiNet: Mamba Diffusion Network for SAR Target Detection
* Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection
* MARL-Based AUV Formation for Underwater Intelligent Autonomous Transport Systems Supported by 6G Network
* Masked Image Modeling: A Survey
* MB-FAENet: Multi-Branch Feature and Attention Enhancement Network for No-Reference Image Quality Assessment
* MBT-Polyp: A new Multi-Branch Memory-augmented Transformer for polyp segmentation
* MEN-VVDF: Multipath excitation network-based video violence detection framework focusing on human activity in keyframes
* Merge-Split Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
* Message Passing Period-Aware Imputation Network for Spatial-Temporal Traffic Missing Data
* Method for Transformer Oil Leakage Detection Text Generation Using Combined Large and Small Models
* Methodology and Benchmark for Automated Driving Theory Test of Large Language Models
* MFET: Multi-frequency enhancement transformer for single-image super-resolution
* MG-Mono: A lightweight multi-granularity method for self-supervised monocular depth estimation
* MG-SSAF: An advanced vision Transformer
* Mining fine-grained attributes for vision-semantics integration in few-shot learning
* Mitigating forgetting in the adaptation of CLIP for few-shot classification
* MITS: A large-scale multimodal benchmark dataset for Intelligent Traffic Surveillance
* Mixed-Graph Neural Network for Traffic Flow Prediction by Capturing Dynamic Spatiotemporal Correlations
* ML-Based Fast and Precise Target Docking of Autonomous Mobile Robots for Intelligent Transportation Systems Using 2-D LiDAR
* MMIFprompt: Efficient modality-aware prompting for multimodal medical image fusion
* Mobile Edge Intelligence and Computing With Star-RIS Assisted Intelligent Autonomous Transport System
* Mobilities in the Heat: Identifying Travel-Related Urban Heat Exposure and Its Built Environment Drivers Using Remote Sensing and Mobility Data in Chengdu, China
* MoCoPCI: Inter-frame motion correlation guided efficient 3D point cloud interpolation
* Modality Adaptive Representation Network for Efficient RGB-T Semantic Segmentation
* Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
* Model-Based Generation of Representative Rear-End Crash Scenarios Across the Full Severity Range Using Pre-Crash Data
* Modeling and clustering of heterogeneous multivariate categorical sequences
* Modeling Pedestrian Crossing Behavior: A Reinforcement Learning Approach With Sensory Motor Constraints
* Modeling Spatial Determinants of Blue School Certification: A Maxent Approach in Mallorca
* Modified ResNet model for medical image-based lung cancer detection
* Modified Unscaled S-Transform for Seismic Time-Frequency Analysis of Road Detection in Intelligent Transportation Systems, A
* Motion Planning Framework Considering Opportunity Costs Based on Stackelberg Games in Interactive Scenarios, A
* MP-YOLO: multidimensional feature fusion based layer adaptive pruning YOLO for dense vehicle object detection algorithm
* MPC-DS: A Safe Path Tracking Method for AGVs in Dynamic Environments With Dense Obstacles
* MSBATN: Multi-Stage Boundary-Aware Transformer Network for action segmentation in untrimmed surgical videos
* Multi-Agent Federated DRL Model for Vehicular Task Offloading in WPT-Aided eROAD Environment, A
* Multi-Algorithm Deep Unfolding With Application to Foreground Detection
* Multi-Granularity Language-Guided Training for Multi-Object Tracking
* Multi-modal graph-aware pre-training for disease classification and cross-modal retrieval in chest radiology
* Multi-modal semantic embedding network for 3D shape recognition and retrieval
* Multi-Mode Trajectory Planning for Four-Wheel Independent Steering Vehicles Under Emergency Obstacle Avoidance Scenarios
* Multi-Model Synergy Perception for Open-World Person Re-Identification
* Multi-Objective Real-Time Trajectory Planning Framework for Human-Machine Mixed Traffic Based on Self-Attention Guided CNN-LSTM, A
* Multi-Perspective Cross-Modal Object Encoding for Referring Expression Comprehension
* Multi-Scale Feature Fusion Based on Piecewise Polynomial Activation Function for Image-Text Matching
* Multi-Scale Texture Fusion for Reference-Based Image Super-Resolution: New Dataset and Solution
* Multi-Source Patch Feature Fusion With Neighborhood Flash Attention Transformer for Pixel-Level Vehicle and Road Recognition in Hyperspectral Image
* Multi-Task B-Cos Networks for Near Real-Time Interpretable Person ReID
* Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning
* Multidomain Dependency-Aware Guided Unified-Stage Coronary Artery Branch Recognition Network
* Multifaceted Velocity Prediction-Based Bipartite Integration Optimization Strategy of Cabin and Battery Thermal Management for EVs
* Multimodal Assessment of Expertise in AR-Guided Psychomotor Tasks
* Multimodal Localization Distillation Method for 3D Single Object Tracking Task in Intelligent Transportation Systems
* Multimodal Multi-Agent Joint Traffic Simulation With Collision and Run-Off-Road Mitigation
* Multimodal sentiment analysis based on label semantic guidance under social links
* Multiple Artificial Potential Functions Approach for Collision Avoidance in UAV Systems, A
* Multiple Autonomous Underwater Vehicles-Assisted Data Collection in 6G-Driven Underwater Wireless Networks Based on Software-Defined MARL
* Multivariate Feedback-Based Image-Text Joint Learning for Sketch-Less Facial Image Retrieval
* NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation
* Network-State-Intelligent Learning Rate Optimization for Federated Streaming Models in Smart Transportation
* Neural Networks-Assisted PCF Interferometers for Smart Road Traffic Surveillance
* Neuroadaptive Consensus Control for Heterogeneous Port Uncrewed Container Transporter Platoon via Sliding Mode Estimators
* NGEMD & ADV-NGEMD: a unified framework for high-capacity, efficient, and adversarially secure image steganography
* Noise-Robust Sound Event Detection and Counting via Language-Queried Sound Separation
* Non-Aligned Supervision for Real Image Dehazing
* non-extended 3D mesh secret sharing scheme adapted for FPGA processing, A
* novel and efficient image dehazing technique for Advanced Driver Assistance Systems, A
* Novel extraction of discriminative fine-grained feature to improve retinal vessel segmentation
* novel score function for conformal prediction in rule-based binary classification, A
* Numerical Assessment of a High-Level Rock Failure Potential Based on a Three-Dimensional Discrete Element Model
* Offboard Occupancy Refinement With Hybrid Propagation for Autonomous Driving
* On Efficient Variants of Segment Anything Model: A Survey
* On the Use of LLMs for GIS-Based Spatial Analysis
* On-the-Fly Improving Segment Anything for Medical Image Segmentation Using Auxiliary Online Learning
* Onboard Metro Train Localization Based on the Train Motion and Track Geometry Feature Fusion
* One framework to rule them all: Unifying multimodal tasks with LLM neural-tuning
* OneN: Guided attention for natively-explainable anomaly detection
* Online Performance Predictor for Evolutionary Neural Architecture Search
* Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
* Optimal of Siting and Pricing for Multi-Type Charging Facility Considering Electric Vehicle and Grid Bidirectional Power Transfer
* Optimization Algorithm of UAVs Task Assignment and Path Planning Based on Dynamic Cluster Particle Swarm Optimization
* Optimization Framework of Dynamic Train Formation Planning in Combination With a Railcar-to-Track Assignment
* Optimization of Electric Vehicle Charging Station Location Distribution Based on Activity-Travel Patterns
* Optimization of Model Predictive Control for Autonomous Vehicles Through Learning-Based Weight Adjustment
* Optimization-Based Automated Parking Trajectory Planning in Unstructured Environments With Efficient Obstacle Query
* Optimization-Based Trajectory Planning for Tractor-Trailer Vehicles on Curvy Roads: A Progressively Increasing Sampling Number Method
* Optimized spatial relation-aware graph neural network based facial emotion recognition for reducing video conferencing fatigue
* Optimizing Extended Metro Timetables During Year-End Events Using Graph Neural Networks: A Study on Passenger Flow Prediction and Timetable Optimization
* Optimizing Ride-Sharing Routing: A Demand-Aware Approach
* Orthographic Video Map Generation Considering 3D GIS View Matching
* Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
* Parameter-Free Logit Distillation via Sorting Mechanism
* Partial Multi-View Incomplete Multi-Label Learning Network With Quality-Aware Representation Fusion
* Passenger-Luggage Combined Motion Model and Abnormal State Recognition in Public Transportation Hubs
* PathBench: Advancing the Benchmark of Large Multimodal Models for Pathology Image Understanding at Patch and Whole Slide Level
* PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
* Perception-Aware Underwater Image Quality Assessment: Dataset, Perceptual Quality Scores, and Assessment Network
* Pest manager: A systematic framework for precise pest monitoring in invisible grain pile storage environments
* pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
* PFIG-Palm: Controllable Palmprint Generation via Pixel and Feature Identity Guidance
* PGTFT: A Lightweight Graph-Attention Temporal Fusion Transformer for Predicting Pedestrian Congestion in Shadow Areas
* Phase screen generation method for general oceanic turbulence
* PHMG: Prompt-based Human Motion Generation for action recognition
* Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry
* Physics-Informed Mobility Perception Networks for Origin-Destination Flow Prediction
* PixTention: Dynamic pixel-level adapter using attention maps
* Plane-Based Stereo Visual Localization With a Prior LiDAR Map
* Planner-Agnostic Monitor for Behaviour Feasibility of Autonomous Vehicles Using a Bayesian Discriminator, A
* PlaSo: Unsupervised Residual Plug and Play for Image Super-Resolution
* Platooning as a Service: Truck Platooning With Multi-Source Heterogeneous Trucks
* Point-Neighborhood Learning Framework for Nasal Endoscopic Image Segmentation, A
* Potential Use of Electric Bicycles in the Historic Quarter of the Seaport City of Valparaíso, Chile, Through Participatory Mapping and Focus Groups Supported by AI Data Processing, The
* PR-DETR: Extracting and utilizing prior knowledge for improved end-to-end object detection
* Practical privacy-preserving federated learning based on multiparty homomorphic encryption for large-scale models
* Precision at scale: Domain-specific datasets on-demand
* Predefined-Time Output Feedback Control for Active Vehicle Suspension Systems With Beneficial Couplings, Disturbances, and Nonlinearities
* Predicting Individual Mobility Pattern by Identifying Indoor Trajectories in Transport Hub
* Predictive summarization framework for resource-constrained device surveillance videos
* Prior and Posterior Order Postponement Framework for the On-Demand Food Delivery Problem, A
* Privacy-Aware and Resource-Efficient Distributed Charging Scheduling for Plug-In Vehicles Under Denial-of-Service Attack
* Proactive Decision Support Method for Ship Collision Awareness Incorporating Ship Maneuvering, A
* Prompt-Agent-Driven Integration of Foundation Model Priors for Low-Count PET Reconstruction
* Prompt-Augmented Boundary Attentive Learning for Weakly Supervised Temporal Sentence Grounding
* Propagation of an inverse super-Gaussian non-uniformly correlated partially coherent vector beam in atmospheric turbulence
* Protocol-Based Fusion Estimator for Motion State of Surrounding Vehicles Under Connected Environment
* PST-Mamba: Spatio-temporal selective state fusion for effective point cloud video understanding with state space models
* PU-GSM: A Latent Geometry-Guided Self-Similarity Model for Point Cloud Upsampling
* PVNet: Point-Voxel Interaction LiDAR Scene Upsampling via Diffusion Models
* Q-Learning-Based Hyper-Heuristic for Capacitated Electric Vehicle Routing Problem, A
* Q-Learning-Based Multi-Objective Path Planning for AAV Parcel Delivery Through Public Transportation Vehicles
* Q-Learning-Based Neighborhood Search for Seaside Vehicle Dispatching and Resource Scheduling at Automated Container Terminals, A
* QCTF: A Quantized Communication and Transferable Fusion Framework for Multi-Agent Collaborative Perception
* QNN-VRCS: A Quantum Neural Network for Vehicle Road Cooperation Systems
* Queue-Augmented Correlation-Biased Orthogonality Loss and Implicit Selective Transformer for Facial Expression Recognition in the Wild
* Rail Transit Line-Sign Text Detection With Patch-Based Region Proposal Network
* Railway Fastener Pixel-Level Detection Based on Dual-Stream Encoder Network With Mask Guidance
* Random gray patch and adaptive graph channel attention for visible-infrared person re-identification
* RDEIC: Accelerating Diffusion-Based Extreme Image Compression With Relay Residual Diffusion
* Real-Time Respiration Monitoring via Motion Artifact Suppression and Quality-Guided Peak Detection
* Real-Time Responsive Signal Control System for Commuting Arterials Plagued by Highly-Congested Traffic, Turning-Bay Overflows, and Mutual Queue Blockages, A
* Real-Time Traffic Flow Prediction for 6G Enabled Intelligent Transportation System
* Real-World Multi-View Stereo via Learning RGB-D Structural Consistency From Depth Super-Resolution
* RealDTT: Towards A Comprehensive Real-World Dataset for Tampered Text Detection
* Reasoning elicitation and multi-granularity contrastive learning for text-rich image understanding in large vision-language models
* Reasoning step by step via a neural-symbolic geometry problem solver
* Reblurring-Guided Single Image Defocus Deblurring: A Learning Framework with Misaligned Training Pairs
* Recurrent Progressive Fusion-Based Learning for Multi-Source Remote Sensing Image Classification
* Recurrent submatrix feature transfer collaborative filtering via nuclear norm regularization
* recurrent-attention mechanism for medical image segmentation, A
* Reinforcement Learning Based Edge-End Collaboration for Multi-Task Scheduling in 6G Enabled Intelligent Autonomous Transport Systems
* Relay Cooperative Vehicular Communication System: RIS-Equipped RF Source With Different Types of Forwarding Method
* Res2former: A Multi-Scale Fusion Based Transformer Feature Extraction Method
* Research on Traffic Dynamic Shortest Path Allocation Model Based on Triangular Fuzzy Number Weight and K-Means Algorithm
* Resource Allocation Strategy in Internet of Vehicles Based on Multi-Task Federated Learning and Incentive Mechanism, A
* Rethinking the Functionality of Latent Representation: A Logarithmic Rate-Distortion Model for Learned Image Compression
* Rethinking the Low-Light Video Enhancement: Benchmark Datasets and Methods
* Rethinking visual prompt learning as masked visual token modeling
* Revelation and Elimination of Redundant Spectral Searches in MUSIC
* Reversible Data Hiding in Encrypted Images With Adaptive Multi-Directional MED and Huffman Code Based on Interval-Wise Dynamic Prediction Axes
* Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
* RGBT tracking via supervised mutual guiding
* RINDNet++: Edge Detection for Discontinuity in Reflectance, Illumination, Normal, and Depth
* Risk-Aware Multi-Stage Stochastic Optimization for Battery Swapping Station Scheduling With Quality of Service Assurance
* RLTNT: An explainable residual learning-based transformer model for kidney disease classification
* Road Network-Aware and Differentially Private Framework for Location and Location Histogram
* Road Traffic Sign Recognition Method Using Siamese Network Combining Efficient-CNN-Based Encoder
* RobMOT: 3D Multi-Object Tracking Enhancement Through Observational Noise and State Estimation Drift Mitigation in LiDAR Point Clouds
* Robust INS State Initialization Method for Vehicular GNSS/MEMS-INS Integrated Navigation in Urban Environment, A
* Robust locality regularized non-negative matrix factorization with structure preservation for image classification
* Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation
* Robust Object Tracking via Long-Range Spatial Representation and Local Feature Enhancement
* Robust Recommender System: A Survey and Future Directions
* Robust Single-Shot 3D Reconstruction by Sparse-to-Dense Stereo Matching and Spline Function Based Parallax Modeling
* Robust Video Watermarking Against Digital Editing and Camcording
* RVSA-3D: Voxel-based fully sparse attention 3D object detection for rail transit obstacle perception
* S3OIL: Semi-Supervised SAR-to-Optical Image Translation via Multi-Scale and Cross-Set Matching
* Safe Reinforcement Learning for Constrained Optimal Control With Provable Guarantees: Applications to Motion Planning
* Safety Illusion? Testing the Boundaries of Concept Removal in Diffusion Models, The
* Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
* Scalable Recurrent Structure With Fast Transfer Learning for Lithium-Ion Battery State of Charge Estimation at Different Ambient Temperatures, A
* Scenario-Aware Multimodal Chain-of-Thought Prompting for Rationales of VideoSocial Relations
* Scenario-Based Framework to Optimising Eco-Wellness Tourism Development and Creating Niche Markets: A Case Study of Ardabil, Iran, A
* Scene Flow Estimation for Autonomous Driving via Correlation Compensation and Initial Motion Check
* SecureBERT and Llama 2 Empowered Control Area Network Intrusion Detection and Classification
* SED-MVS: Segmentation-Driven and Edge-Aligned Deformation Multi-View Stereo With Depth Restoration and Occlusion Constraint
* SegAnyPath: A Foundation Model for Multi- Resolution Stain-Variant and Multi-Task Pathology Image Segmentation
* Segment Anything in Context with Vision Foundation Models
* Selective-relaxed contrastive learning for hyperspectral image classification with noisy labels
* Self cycle strategy for unpaired visible-to-infrared image translation
* Self-Interaction Dynamic Graph Convolutional Network With Multiscale Time-Frequency Fusion for Vehicle Trajectory Prediction
* Self-Learning Position Variance Using Crowdsourcing Data for Adaptive GNSS/SINS Integrated Navigation
* Self-Supervised Masked Graph Autoencoder for Hyperspectral Anomaly Detection
* Semantic and Saliency-Aware Scalable Image Coding Toward Human-Machine Collaboration
* Semantic Encoding Supervises LiDAR Semantic Segmentation
* Semantic Masking with Curriculum Learning for Robust HDR Image Reconstruction
* Semi-supervised medical image segmentation via pseudo-labeling refinement and dual-adaptive adjustment schemes
* Separate, Locate, and Align: Determine Context Relation of Scene Text From Multiple Perspectives in TextVQA
* Shared-Memory Parallel Alpha-Tree Algorithm for Extreme Dynamic Ranges, A
* Shields for Digital Images: A Watermarking Method With KAN Block and Simulation-Enhanced Noise Pool to Resist Screen-Camera Attacks
* Shifting Neighbors Within Temporal Contexts for Slow-Moving Infrared Small Target Detection
* ShiftQuant: Toward Accurate and Efficient Sub-8-bit Integer Training
* Shipment Scheduling and Routing Protocols in Cyber-Physical Internet for Prefabricated Construction Modules Logistics
* Signal Accumulation Based on Spatio-Temporal Joint Alignment for Distributed Aperture Coherent-Synthesis Radar
* Six-Point Method for Multi-Camera Systems with Reduced Solution Space
* Skea-Topo: A skeleton-aware loss function for topologically accurate boundary segmentation
* Sliced Wasserstein graph kernel for measuring global topological similarity of brain functional networks
* Slowly expanding neural network for class incremental learning
* Social Entropy Informer: A Multi-Scale Model-Data Dual-Driven Approach for Pedestrian Trajectory Prediction
* Socially-Inspired Semantic Communication Codec Updating for NTN-Enabled Intelligent Transportation Systems
* SODA: Structural Pre-Decoupling and Co-Aligning for Video Compositional Representation
* Soft Cluster-Aware Equivariant Contrastive Learning for Unsupervised Out-of-Distribution Detection
* Source-free domain adaptation using prompt learning for medical image segmentation
* Space-Time Video Super-Resolution With Neural Operator
* Spatial-Aware Temporal Modeling Network for Imitation Learning-Based Drone Navigation, A
* Spatial-frequency cross-shift learning perceptive transformer features in decoupled hashing
* Spatio-Temporal Continuous Network for Stochastic 3D Human Motion Prediction, A
* Spatio-Temporal EV Task Offloading, Energy, and Traffic Management for 6G Communication-Power-Transportation Coupling Network
* Spatio-Temporal Mapping of Violence Against Women: An Urban Geographic Analysis Based on 911 Emergency Reports in Monterrey
* Spatiotemporal Analysis of Urban Perception Using Multi-Year Street View Images and Deep Learning
* Spatiotemporal Factorized Graph Neural Networks for Joint Large-Scale Traffic Prediction and Online Pattern Recognition
* Spatiotemporal Variation and Network Correlation Analysis of Flood Resilience in the Central Plains Urban Agglomeration Based on the DRIRA Model
* Splitting criteria for ordinal decision trees: An experimental study
* SR-Stereo & DAPE: Stepwise Regression and Pre-Trained Edges for Practical Stereo Matching
* SSRDepth: Combining semantic segmentation and relative depth for monocular metric depth estimation
* Stackelberg Game-Based Multi-Agent Algorithm for Resource Allocation and Task Offloading in MEC-Enabled C-ITS
* STAE-BiSSSM: A Traffic Flow Forecasting Model with High Parameter Effectiveness
* STAR-RIS Enabled RSMA-Intelligent Autonomous Transport System: Joint Security and Covertness Analysis
* Statistic-Guided Difference Enhancement Graph Transformer for Unsupervised Change Detection in PolSAR Images
* STGFormer: Spatio-temporal GraphFormer for 3D human pose estimation in video
* Stitching, Fine-Tuning, and Re-Training: A SAM-Enabled Framework for Semi-Supervised 3D Medical Image Segmentation
* Structure preserving point cloud completion and classification with coarse-to-fine information
* Structured knowledge-inspired two-stage knowledge alignment framework for Alzheimer's disease diagnosis
* Study Area Map Generator: A Web-Based Shiny Application for Generating Country-Level Study Area Maps for Scientific Publications
* Study on Accessibility and Equity of Park Green Spaces in Zhengzhou
* Study on the Coupling and Coordination Degree of Virtual and Real Space Heat in Coastal Internet Celebrity Streets
* Sum Rate Maximization for 6G Beyond Diagonal RIS-Assisted Multi-Cell Transportation Systems
* Supervised Denoising for Extreme Low-Light Raw Videos
* Surrogate-Assisted Bi-Level Evolutionary Algorithm for Multi-Depot Vehicle Routing Problems With Uncertain Demand, A
* Surrounding Vitality Reasoning of Attractions Supported by Knowledge Graph
* Survey on Autonomous and Intelligent Swarms of Uncrewed Aerial Vehicles (UAVs), A
* Survey on Image Segmentation and Super-resolution Reconstruction in Visual Sensor Networks, A
* Survey on Neural Radiance Fields, A
* Survey: 3D watermarking techniques
* Sustainable Reinforcement Learning for Autonomous Driving Under Postsuspension of Human Guidance
* SVFFNet: A Scale-Aware Voxel Flow Fusion Network for video prediction
* Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation
* Synergistic dual and efficient additive attention network for No-Reference Image Quality Assessment
* Synthetic data sets for person Re-Identification: A critical analysis
* Synthetic Gradient Optimization-Based Implicit Amortized Bayesian Meta-Learning for Few-Shot Pumi Spectrographic Image Recognition
* Systematic Literature Review of Simulated Cyber Attacks on Vehicles and Urban Traffic Control, A
* Systematic Review of Multimodal Signal Fusion for Acute Pain Assessment Systems, A
* TA-TOS: Terrain-Aware Tiny Obstacle Segmentation Based on MRF Road Modeling Using 3-D LiDAR Scans
* TAAODV: TOPSIS-Aided AODV Routing Protocol to Diffuse Mass Information in the Unstable and High-Density UAV Ad Hoc Networks
* Taking a Shift: Fast Delay Doppler Estimation and Detection
* TAMHA-DDPM: A Time-Aware Multi-Head Attention Denoising Diffusion Probability Model for Fuzzy Data Optimization in Intelligent Transportation Systems
* TANet: Tri-Aspects Network for Camouflaged Object Detection
* TAPTR3D: Decoupled 3D Point Tracking Boosts 2D and Further Enhances 3D Tracking Accuracy
* Target-Distractor Aware UAV Tracking via Global Agent
* Targeted attack via adversarial patch outside bounding box
* Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessment
* TCaEx: Targeted Caption as External Knowledge for knowledge-based visual question answering
* Temporal consistent multi-view perception for robust embodied manipulation
* Temporal-invariant video contrastive learning: A novel perspective from brain knowledge
* Temporal-Spatial Object Relations Modeling for Vision-and-Language Navigation
* Test-time adaptation for object detection via Dynamic Dual Teaching
* Tex2Sem: Learning From Textures to Semantics for Robust Semantic Correspondence
* Third Spaces to Represent Urban Greenery: A Study of Informal Green Spaces in a High-Density City Using Deep Learning and Geo-Weighted Analysis
* Time Delay Identification Technique for Signal Source Localization, A
* Time-Varying Formation Tracking for Nonholonomic Mobile Robots With Asymmetric Input Constraints
* TIPS: Two-level prompt selection for more stability-plasticity balance in continual learning
* Token-based dynamic bit-width assignment for ViT quantization
* TokenPacker: Efficient Visual Projector for Multimodal LLM
* ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis With Cellular-Level Control
* Toward City-Scale Vehicular Crowd Sensing: A Decentralized Framework for Online Participant Recruitment
* Toward Efficient Test Time Adaptation With Hierarchical Distribution Alignment
* Toward Human-Like Prediction: Vehicle Trajectory Prediction via Velocity-Aware Complementary Interaction Transformer
* Towards Balanced Representation Learning with Semantic Anchor Regularization
* Tracking Vehicles in Cooperative Intelligent Transportation Systems: Attacks, Defense Solutions, and Future Directions
* Traffic Scene Representation and Encoding With Graph Structure Learning and Exploration
* Traffic Signal Timing Optimization: From Evolution to Adaptation
* TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework With Group-Based Monte Carlo Tree Search
* Trajectory Planning and High-Precision Motion Control of Excavators Based on Independent Metering Hydraulic Configuration
* Trajectory Planning and Transmission Scheduling for UAV-Borne RIS Assisted Energy-Efficient Uplink Transmissions
* TransLane: A Transfer Learning-Based Traffic Control Recommendation System With Dynamic Lanes
* Transmission-Efficient Fault-Tolerant Control for Intelligent and Connected Vehicles With Input Quantization and Event-Triggered Mechanism
* TranSpike: Pixel-wise frequency reconstruction and spike interaction for remote photoplethysmography
* TSBA: A two-stage poison-only backdoor attack on visual object tracking
* Turbid Underwater Image Enhancement With Illumination-Constrained and Structure-Preserved Retinex Model
* Twin learning for domain agnostic time series analysis: A regime-switch approach
* Two-Component GMM Source Coding and Optimization
* Two-dimensional normalized knowledge distillation leveraging class relations
* Two-stage attribute-guided dual attention network for fine-grained fashion retrieval
* Two-Stage Framework With Memory for Anomaly Detection via Video Decomposition and Bidirectional Consistency, A
* Two-Stage Lane-Changing Driving Strategy Based on Driving Habits and Vehicle Dynamics for Autonomous Electric Vehicles
* Ultra-Short-Term Load Power Forecasting Method of Urban Rail TPSS Based on Local Information Spatial-Temporal Features
* Uncertainty-Aware Mixture of Experts for Video Action Anticipation
* Uncertainty-Aware Multi-Vehicle Detection and Tracking Using Roadside 3D Point Clouds
* Uncertainty-Driven Edge Prompt Generation Network for Medical Image Segmentation
* Underdetermined 2D DOA Estimation for Coherent Signals via Sparse Sensor Array With Nested Moving Sampling Scheme
* Understanding adversarial robustness of deep neural networks via decision reliance
* Understanding Equivariant Self-Supervised Learning in Musical Pitch Class Space
* Understanding Planning Support Systems Institutionalization in the Planning Process Through Actor-Network Theory: The Case of the Strategic Development Framework Methodology
* Underwater image enhancement by diffusion model with customized CLIP-classifier
* Unified and Quality-Guaranteed Approach for Dubins Vehicle Path Planning With Obstacle Avoidance and Curvature Constraint, A
* Unified Arbitrarily Predefined-Time Convergent Recurrent Neural Network for Motion Control of Redundant Robot Manipulators: A Unified Paradigm, A
* Unifying Dimensions: A Linear Adaptive Mixer for Lightweight Image Super-Resolution
* UniQuadric: A SLAM Backend for Unknown Rigid Object 3-D Tracking and Light-Weight Modeling
* UNIR-Net: A novel approach for restoring underwater images with non-uniform illumination using synthetic data
* UniUIR: Considering Underwater Image Restoration as an All-in-One Learner
* Unpaired overwater image defogging using inverted dark channel prior-guided cycle-consistent generative adversarial network
* Unsupervised cross-domain semantic segmentation on multi-modality ovarian tumor ultrasound data
* Unsupervised Domain Adaptive Vehicle Re-Identification: A Federated Learning Scheme
* Unsupervised heterogeneous group streaming feature selection
* Unveiling the Effects of Slightly Skewed Labels on Traffic Data Analysis
* UpAttTrans: Upscaled attention based transformer for facial image super-resolution
* Urban Mobility Redefined: Stochastic Equilibrium and Optimal Car Ownership in Cities With Ridesharing Programs
* Use of BCI Systems in the Analysis of EEG Signals for Motor and Speech Imagery Task?: A SLR
* UTFP-AD: Urban Traffic Flow Pattern Anomaly Detection Using Spatiotemporal Data
* UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching
* V2V Cooperative Perception With Adaptive Communication Loss for Autonomous Driving
* VBSF: Vulnerability Behavior Scanning Framework for Intelligent Autonomous Transport Systems
* VD-Matcher: A Very Deep Local Feature Matcher With Weight Recycling and Keypoint Detection
* Vehicle Localization Based on Bayesian Tensor Decomposition in Intelligent Transportation Systems
* Vehicle Path Planning and Prediction Algorithm Based on Attention Mechanism for Complex Traffic Intersection Collaboration in Intelligent Transportation, A
* Vehicle Platoon Formation Control Method Under Mixed Traffic Scenarios With Complex Road Conditions of Variable Curvature
* Vehicular Communication Based on RIS-Assisted Source: RIS-Relay Versus Energy Harvesting Relay
* Video-based human pose estimation via feature decoupling and multi-hypothesis calibration
* VideoPure: Diffusion-Based Adversarial Purification for Video Recognition
* Vision Generalist Model: A Survey
* VisionTraj: A Noise-Robust Trajectory Recovery Framework Based on Large-Scale Camera Network
* Visual anomaly detection algorithms: Development and Frontier review
* Visualizing Spatial Cognition for Wayfinding Design: Examining Gaze Behaviors Using Mobile Eye Tracking in Counseling Service Settings
* VLM-CPL: Consensus Pseudo-Labels From Vision-Language Models for Annotation-Free Pathological Image Classification
* Waverider Vehicles Flight Control Using Flexible Prescribed Envelopes
* Where and What: Contextual Dynamics-Aware Anomaly Detection in Surveillance Videos
* Wideband DOA Estimation Based on Stochastic Maximum Likelihood Estimation With Flat Spectra Assumption
* WL-WEM Combining Low-Cost Watermark Enhancement Modules for In-Generation Watermarking
* YOLO-FCE: A feature and clustering enhanced object detection model for species classification
* Your image generator is your new private dataset
* Zero-Shot Paragraph-level Handwriting Imitation with Latent Diffusion Models
* Zero-shot skeleton-based action recognition with dual visual-text alignment
* Zeroth-Order Distributed Stochastic Optimization Over Riemannian Manifolds
* Zone-YOLO: Vision-Language Object Detection Using Zone Prompt
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