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* Accurate Motion Estimation With Bézier Control Point for Efficient Frame Interpolation
* 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 Extended ETDAC Transforms Using Discrete Trigonometric Transforms
* 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
* 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
* AOG-BAT: 3D human pose estimation via Attention-Ordered Graph and Body-Aware Transformer
* ASER: Attribute-Serialized Emotion Recognition With Generative Multi-Task Learning
* Asymmetric feature calibration network for RGB-D salient object detection
* AUPOME: Unifying Anchor-guided UPsampling and Octree Mesh Extraction for Surface Reconstruction
* AvatarEdit: Optical Flow-Guided Consistent Talking Head Avatar Editing
* BadLingual: Language-Triggered Anomalous Behavior in Multilingual Foundation Large Language Models
* Bayesian Robust Fully-Connected Tensor Network Decomposition for Visual Data Denoising
* Beyond Known Objects: Prompting 6D Pose Estimator to Learn Novel Objects Continually
* Beyond seen bounds: Class-centric polarization for single-domain generalized deep metric learning
* bio-inspired framework for lightweight RAW-to-sRGB mapping and color optimization, A
* Bit-depth enhancement via invertible neural network
* 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
* Boundary-Local Soft Supervision for Reliable Calibration in Defect Segmentation
* Bridging Quality and Efficiency With Spiking Mamba for Speech Bandwidth Extension
* CA-UNet: Real-time segmentation model for superalloy eutectics integrating direction-awared multi-scale convolution and multi-scale adaptive sparse attention
* CausalVEE: Adaptive KeyFrame-Based Causal Temporal Modeling for Video Event Extraction
* Central Similarity Representation Learning for Efficient Cross-Domain Retrieval
* CGFformer: Cluster-guidance frequency Transformer for pansharpening
* 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
* Cognitive prior-guided evidence decoupling for remote sensing image change captioning
* COINR: Tackling context distribution shift for offline meta-reinforcement learning via invariant representation
* COLF: Disentangled forecasting for non-stationary time series via contrastive learning
* Collaborative cross-domain network for lightweight image super-resolution
* Compressing 3D Gaussian Splatting via Cross-Representation Priors
* Confidence Matters: Balanced Pseudo-Label Selection for Semi-Supervised Few-Shot Learning
* Conquering the Dark: LuxRA-Net for EBAPS Image Denoising From Full Moonlight to Overcast Starlight
* Consistency-Guided Uncertainty Estimation for Source-Free Medical Image Segmentation
* Continual learning via semantic memory system
* 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
* CountLEG: Compositional referring expression counting framework via Latent Expression Guidance
* CrackLite: lightweight concrete crack segmentation with direction-guided topology aggregation and local geometry refinement
* CroIPNet: Cross-site Individual-Population Graph Integration Network for neurodevelopmental disorder understanding
* Cross-layer prior-guided center evolution for lightweight image super-resolution
* 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
* cycle-aware network for robust detection of circular coded markers, A
* DAC-YOLO: A steel surface defect detection algorithm based on improved YOLOv11
* 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 improving ranking hashing with semantic relevance for large-scale image retrieval
* Deep Learning-Driven Segmentation of Unseen Objects in Indoor Robotic Environments
* Deep Understanding of Sign Language for Sign to Subtitle Alignment
* Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
* DeferredSeg: A multi-expert deferral framework for medical image segmentation
* Degradation-aware feature collaboration for underwater image stitching
* 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
* DG-DETR: Density-guided dynamic query detection transformer for efficient tiny object detection
* DiffTCL: Diffusion-based augmentation for time series contrastive learning
* DiffTile: High-Resolution Periodic Pattern Generation via Splice, Focus and Enhance
* Diffusion self-distillation for pansharpening
* Diffusion-Augmented Adaptive Image-Text Contrastive Learning for unsupervised multimodal image clustering
* Direction-aware superpixels on non-uniform grids inspired by visual masking
* DreamLocate: Disentangled Attribute Decoupling for Subject-Driven Image Inpainting
* DSDNet: Dynamic Structured Dictionary-based Deep Unrolling Network for computed tomography metal artifact reduction
* Dual-Fidelity Tensor Robust Principal Component Analysis Under Mixed Noise
* Dual-state mamba network for lightweight image super-resolution
* 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 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
* ECIRNet: Taming SPAN for efficient compressed image restoration with U-shaped structure
* 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
* Enabling Live Video Provenance and Authenticity: A C2PA-Based System With TPM-Based Security for Livestreaming Platforms
* End-to-end framework for panoramic indoor style transfer: From photorealistic generation to immersive WebXR exploration
* 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 Generalization for EEG-Based Emotion Recognition Models With the Personality Cross-Attention Mechanism
* Enhancing imbalanced label distribution learning with label correlation and feature interactions
* Error propagation-driven graph neural network with implicit layers
* 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
* EventDiff: A Unified and Efficient Diffusion Model Framework for Event-Based Video Frame Interpolation
* Exploring 3D point clouds with multimodal large language model (MLLM): A review
* Extending Aumann-Shapley for Reliable Neuron Attribution in Autonomous Driving Decisions
* Fair fine-tuning of medical vision-language models via learned textual embedding of sensitive attributes
* FAPFNet: Feature-Adaptive Progressive Fusion Network for Medical Image Segmentation
* ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
* FourASR: Exploiting Fourier Frequency Information for Efficient Light Field Angular Super-Resolution
* Fre-STformer: A Frequency-Based Spatio-Temporal Transformer for UAV Human Action Recognition
* Frequency-decoupled multi-scale hybrid transformer for underwater object detection
* Frequency-Guided Diffusion Model With Perturbation Training for Skeleton-Based Video Anomaly Detection
* 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
* Full frequency decomposition and reasoning fusion for concealed object detection
* Gait-based health assessment via cross-domain knowledge transfer
* Gated spatio-temporal attention and intra-inter class mechanisms for few-shot video action recognition
* Generalizable Person Re-Identification via Self-Promptable Learning
* Generation and Alignment: Bridging Modality Gap for Visible-Infrared Person Re-Identification
* GLAM: Unifying global-local graph geometry via asymmetric mutual learning
* Group-size adaptive kernel extension for feature upsampling
* GSF-3DLane: Ground Surface Fitting for 3D Lane Detection Based on Monocular Depth Estimation
* Hardware-calibrated optical spiking neural network based on a programmable MZI mesh weight engine
* 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
* Heterogeneous Mixture-of-Experts Network for Bearing Fault Diagnosis Under Strong Noise
* Heterogeneous Quad-Modality Learning for Visible-Infrared Person Re-Identification
* HGMG: Enhancing heterogeneous graph embedding by meta-graph learning
* Hierarchical multi-view alignment with adaptive prototype compression for robust semantic scene understanding
* HO-GCN: Human-Object Adaptive Topological Interaction GCN for escalator dangerous behavior recognition
* HTR-MB: Combining Mamba and BiLSTM for Handwritten Text Recognition
* Hybrid transformer-CNN framework for light field angular super-resolution
* IADFormer: Intensity-Aligned Differential Transformer for Low-Light Image Enhancement
* IBCL: Information Bottleneck Contrastive Learning with minimum sufficient augmentation and generalized representations
* IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
* Illumination-Aware Visible Generative Flows for Thermal Pedestrian Detection
* Image Colorization via Efficient Diffusion Model
* Improving Transferability of Data-Free Universal Adversarial Perturbations via Auxiliary Ensembles
* 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
* Interactive 360° Object Removal: A Coordinate Querying Approach via Spherical Normal Constraints and Learnable Wavelet Enhancement
* Interpretable multi-omics representation learning via covariate-augmented generalized factor model
* Joint HFM-CW Active Sonar Tracking via Velocity-Domain Bayesian Fusion With Implicit HFM Range-Bias Compensation
* 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
* Language-Inspired Unknown-Space Expansion for Few-Shot Open-Set Detection
* LATO-YOLO: A lightweight network achieved by efficient architecture design for drone traffic object detection
* Learning Fine-Grained Information With Capsule-Wise Attention for Salient Object Detection
* Learning in Diversity: Empowering Domain Generalized Semantic Segmentation With Style Injection
* Learning relative abnormal relations for generalist anomaly detection
* Learning robustness at test-time from a non-robust teacher
* Learning to Replay: A meta-reinforcement learning approach to experience replay in continual learning
* Learning Visual-Audio Dissonance for Moment Retrieval and Highlight Detection
* 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
* LIPVT: Local-enhanced and Interactive coordinate Pyramid Vision Transformer for human pose estimation
* Making Large Vision-Language Models Better Few-Shot Learners
* Mamba-MFNet: A Mamba-based multi-level interactive fusion network for multi-modal medical images
* MambaTAD: When State-Space Models Meet Long-Range Temporal Action Detection
* MAOSTE: Multimodal Aspect-Object-Sentiment Triples Extraction
* MAPLE - Manifold-Aware Point-Lifted evolution for very weakly supervised self learning in medical image segmentation
* Maximum-entropy polar harmonic transforms for information-density-driven image representation
* 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
* Memory-augmented dual-pathway model for temporal speech emotion recognition
* Memory-Efficient High-Ratio Model Compression for Image Super-Resolution via Hybrid Hashing
* MHPF-HSI: A Multimodal Framework for Hepatocellular Carcinoma Prognosis Prediction Integrating Microscopic Hyperspectral Imaging
* Mitigating Textual Noise in Multimodal FGVC via Hierarchical Semantic Purification and Multi-Stage Alignment
* MonoDAPE: Data Augmentation and Perception Enhancement for Robust Monocular 3D Object Detection
* Motion-Aware Representation Network for Micro-Expression Recognition
* 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-granularity 3D Visual Language Tracking from monocular videos: A benchmark and model
* Multi-granularity fusion network with mixed multi-hop graph convolution for hyperspectral image classification
* Multi-Granularity Token Learning for Domain Generalized Semantic Segmentation
* Multi-label semantic decoding via Hierarchical Encoding and sparse Representation Fusion
* Multi-level cross-view line matching: exploiting spatial domain characteristics
* Multi-parameter identification of aberrated vortex beams under slant-path atmospheric turbulence using a multi-task convolutional neural network
* 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-stage adaptive feature aggregation for fine-grained visual classification
* Multi-Stage Prediction CNN: Fast CU Partition for VVC Screen Content Coding
* Multihead Continual Learning Framework for Fine-Grained Fashion Image Retrieval With Contrastive Learning and Exponential Moving Average Distillation, A
* Multimodal Large Language Models Assisted Hierarchical Image-Caption Fusion for Remote Sensing Image-Text Retrieval
* MultiviewVLM: Unsupervised Multiview Contrastive Language-Image Joint Learning With Pseudo-Labeled Prompts via Vision-Language Model for 3D/4D Facial Expression Recognition
* MVG-Net: Robust RGB-D 6D pose estimation via multi-kernel visual attention and geometry-aware fusion
* Neural Radiance Fields for the Real World: A Survey
* NIINet: Toward Real-World Nighttime Deraining via Infrared Image Guidance
* Non-Homogeneous Dehazing via Semantic Features From Mobile-SAM
* Occlusion-guided adversarial attacks: Critical-region prioritization for optimization-step and perceptual-quality trade-offs
* One-Step Image-Function Generation via Consistency Training
* Open set prototypical network based on hard unknown class generation for object recognition
* PARAFAC-Based Channel Estimation for Beyond Diagonal Reconfigurable Surfaces
* Parameter-efficient dynamically evolved networks for multi-modal class-incremental remote sensing image classification
* Part-Aware Learning Network for Weakly Supervised Semantic Segmentation, A
* Persistence Trees: A topological tree structure for anisotropic image denoising
* PET-Mamba: Spiral scanning state space model for dynamic PET image denoising
* 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
* Physics-Inspired Single Image Detail Enhancement Based on Kirchhoff's Current Law
* PiT: Progressive Diffusion Transformer
* Point Coupling Model: A hybrid segmentation architecture of sparse window attention and State-Space Modeling
* PointDiff: Conditional Diffusion Model for Point-Supervised Video Moment Retrieval
* PRISM: Precise region-aware instance style manipulation via text-guided test-time optimization
* 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
* 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
* Pseudo label generation under patch-level supervision for category-imbalanced waste image segmentation
* Q-Accel: Accelerating Training for Black-Box ISP Tuning With Efficient Off-Policy Deep Reinforcement Learning
* RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving With Vision-Language Models
* RCOC-Distill: Boosting 4D Radar-Camera Online Calibration With Knowledge Distillation From LiDAR Features
* Real-World Image Bit-Depth Enhancement
* 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
* Reinforced Context Augmentation for Multimodal Emotion Analysis
* REMAC: Self-reflective and self-evolving multi-agent collaboration for long-horizon robot manipulation
* RePoCHOI: Single-view 3D reconstruction of clothed human-object interaction via relational pose optimization
* RetAction: Retentive and circulant attention dual path modeling for efficient temporal action detection
* 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
* RGPose: Rendering-guided multimodal consistency learning for monocular 6D object pose estimation
* Robust Dual-Path Spatio-Temporal Graph Neural Networks for Stock Price Prediction
* 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
* s-MAR: Spectral Prior Enhanced Consistency Network for CT metal artifact reduction
* S2A-TripNet: A spectral-aware triplet network integrating adaptive mining for robust and generalized hyperspectral classification
* 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
* SCMM: Calibrating cross-modal representations for text-based person search
* SDFA: Spectral-Spatial Degradation-Aware Fusion Attention for robust underwater object detection
* Security and Real-Time FPGA Integration for Learned Image Compression
* Self-Attentive Edge-Convolution Bipartite Graph Network for 3D Object Reconstruction From Point Clouds
* Self-Supervised Test-Time Adaptation for Spatio-Temporal Video Super-Resolution
* 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
* SeS-CLIP: A CLIP-based model for semi-supervised video anomaly detection
* SGANet: Semantic and geometric alignment for multimodal multi-view anomaly detection
* Short-term turbulence beam spread revisited
* SOPERM-Track: Spatial Object Permanence Modeling via Height Stability and Ground Perspective
* Space-Long Term-Range Joint Processing Method for MIMO Radar
* Spatial-Channel Mamba-Driven Multi-Scale Mixture of Experts: A Y-Shaped reconstruction model for X-space magnetic particle imaging
* Spatial-Temporal Prototype-Enhanced Attention Network for fMRI brain disease classification
* Spatio-temporal graph neural network for traffic forecasting with diverse key heterogeneous information awareness
* Spectral energy modeling for weighted graph anomaly detection
* Spectral-spatial fusion using separable large kernel attention convolution and simplified Transformer for hyperspectral image classification
* SpectVit: Spectral-spatial gating for efficient vision transformers
* SPFormer: Superpixel-Perceptive Transformer for Infrared Small Target Detection
* SpongeNet: Preserving forgery traces by knowledge sponge with binary information bottleneck for deepfake detection
* STENet: Superpixel Token Enhancing Network for RGB-D Salient Object Detection
* Stroke-Based Perception: Discover Novel Oracle Characters
* Structured Entropy Quantification for uncertainty-aware graph learning
* TakuNet: Energy-efficient models for real-time aerial disaster response and monitoring on edge devices
* TCAN: Text-Guided Category-Aware Network for Online Action Detection
* Test-time zero-shot recognition with good attributes
* TeViJP: Unifying Textual Abstraction and Visual Demonstration for Adaptive Procedure Planning
* Text-Aware CLIP: A Generalized Method for Deepfake and Fake News Detection
* Text-Guided Unsupervised Hashing With Community Exploration for Image Retrieval
* TextFuse: Text Information Guided Infrared and Visible Image Fusion
* 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-aware multi-teacher distillation for multi-target domain adaptation in retinal vessel segmentation
* Toward Substation Semantic Segmentation: A Benchmark Dataset and a Cross-Attention Embedded Hierarchical Network
* Towards AI-Assisted Sustainable Adaptive Video Streaming Systems: Tutorial and Survey
* Traffic sign detection framework in low light based on dynamic multi-exposure and gradient concentration algorithms
* 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
* TunCLIP: Adaptive Multi-Scale Zero-Shot Anomaly Detection via Vision-Language Feature Infiltration and Semantic Enhancement
* UBATrack: Spatio-Temporal State Space Model for General Multi-Modal Tracking
* UDA2L: Unsupervised deformation-aware adaptive learning for medical image registration
* UGMFT: Uncertainty guided multimodal fusion Transformer for multi-source remote sensing classification
* Uncertainty-aware Gaussian cloud dynamic learning for sEMG motor intention estimation
* UniFLM: United Segmentation and Measurement on Fetal Limb Ultrasonic Image
* UniTHP: Advancing Unified Representation Learning for Through-Wall Human-Centric Perception
* Unlocking the potential of open-vocabulary detectors for visual-prompted object detection
* 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
* 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
* Using dual uncertainty-aware knowledge distillation to compress image classification models with ownership protection through multimodal biometric traits
* VET-UNet: A model for retinal vessel segmentation with edge and topology enhancement
* 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
* ViLID: Multimodal misinformation detection with complementary input- and rationale-level inconsistency signals
* 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
* Vulnerabilities in AI-Generated Image Detection: The Challenge of Adversarial Attacks
* Water reflection detection using symmetric attention
* Weakly supervised 3D instance segmentation without instance-level annotations
* Weakly-Correlated Knowledge Distillation for Blind Image Quality Assessment
* Weighted Feature Graph With Adaptive Label Correlation for Partial Multi-Label Learning
* WHCNet: Wavelet-based Hierarchical Cross Network for multi-modal image fusion
* Window-Free Transformer for Efficient Single Image Super-Resolution
* YOLOv11-RESE: A lightweight network for precise sesame weed detection
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