{"total":78,"rows":[{"id":"2311.08046","title":"Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding","created":"2023-11-14","cited_by_count":371,"area":null},{"id":"2307.15880","title":"Effective Whole-body Pose Estimation with Two-stages Distillation","created":"2023-07-29","cited_by_count":311,"area":null},{"id":"2303.08810","title":"BiFormer: Vision Transformer with Bi-Level Routing Attention","created":"2023-03-15","cited_by_count":151,"area":null},{"id":"2303.17602","title":"Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks","created":"2023-03-30","cited_by_count":96,"area":null},{"id":"2303.14369","title":"Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning","created":"2023-03-25","cited_by_count":45,"area":null},{"id":"2211.11167","title":"Vision Transformer with Super Token Sampling","created":"2022-11-21","cited_by_count":44,"area":null},{"id":"2211.10705","title":"TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer","created":"2022-11-19","cited_by_count":41,"area":null},{"id":"2312.09627","title":"TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification","created":"2023-12-15","cited_by_count":40,"area":null},{"id":"2207.10387","title":"Pose for Everything: Towards Category-Agnostic Pose Estimation","created":"2022-07-21","cited_by_count":36,"area":null},{"id":"2303.13357","title":"POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery","created":"2023-03-23","cited_by_count":31,"area":null},{"id":"2504.04701","title":"DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation","created":"2025-04-07","cited_by_count":31,"area":null},{"id":"2507.07796","title":"Visual Instance-aware Prompt Tuning","created":"2025-07-10","cited_by_count":29,"area":null},{"id":"2312.01697","title":"Hulk: A Universal Knowledge Translator for Human-Centric Tasks","created":"2023-12-04","cited_by_count":22,"area":null},{"id":"2309.01430","title":"DAT++: Spatially Dynamic Vision Transformer with Deformable Attention","created":"2023-09-04","cited_by_count":21,"area":null},{"id":"2303.13018","title":"MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer","created":"2023-03-23","cited_by_count":18,"area":null},{"id":"2406.18048","title":"ScanFormer: Referring Expression Comprehension by Iteratively Scanning","created":"2024-06-26","cited_by_count":18,"area":null},{"id":"2303.08475","title":"Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video","created":"2023-03-15","cited_by_count":17,"area":null},{"id":"2210.00314","title":"Learning Hierarchical Image Segmentation For Recognition and By Recognition","created":"2022-10-01","cited_by_count":16,"area":null},{"id":"2302.14638","title":"SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing","created":"2023-02-27","cited_by_count":16,"area":null},{"id":"2303.13755","title":"Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers","created":"2023-03-24","cited_by_count":16,"area":null},{"id":"2503.06896","title":"CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution","created":"2025-03-10","cited_by_count":16,"area":null},{"id":"2512.02541","title":"AVGGT: Rethinking Global Attention for Accelerating VGGT","created":"2025-12-02","cited_by_count":16,"area":null},{"id":"2311.12028","title":"Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation","created":"2023-11-20","cited_by_count":15,"area":null},{"id":"2208.07755","title":"PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation","created":"2022-08-16","cited_by_count":14,"area":null},{"id":"2308.00519","title":"Markerless human pose estimation for biomedical applications: a survey","created":"2023-08-01","cited_by_count":13,"area":null},{"id":"2401.08086","title":"Spatial-Semantic Collaborative Cropping for User Generated Content","created":"2024-01-16","cited_by_count":13,"area":null},{"id":"2409.11923","title":"Agglomerative Token Clustering","created":"2024-09-18","cited_by_count":13,"area":null},{"id":"2304.03282","title":"Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention","created":"2023-04-06","cited_by_count":12,"area":null},{"id":"2407.11321","title":"TCFormer: Visual Recognition via Token Clustering Transformer","created":"2024-07-16","cited_by_count":12,"area":null},{"id":"2602.08683","title":"OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence","created":"2026-02-09","cited_by_count":12,"area":null},{"id":"2311.01197","title":"AiluRus: A Scalable ViT Framework for Dense Prediction","created":"2023-11-02","cited_by_count":10,"area":null},{"id":"2407.10125","title":"When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset","created":"2024-07-14","cited_by_count":10,"area":null},{"id":"2205.15448","title":"FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER","created":"2022-05-30","cited_by_count":9,"area":null},{"id":"2312.05525","title":"You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception","created":"2023-12-09","cited_by_count":9,"area":null},{"id":"2404.09490","title":"Leveraging Temporal Contextualization for Video Action Recognition","created":"2024-04-15","cited_by_count":9,"area":null},{"id":"2304.02939","title":"All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump Athletes","created":"2023-04-06","cited_by_count":8,"area":null},{"id":"2503.12847","title":"Robust Audio-Visual Segmentation via Audio-Guided Visual Convergent Alignment","created":"2025-03-17","cited_by_count":8,"area":null},{"id":"2302.13987","title":"UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction","created":"2023-02-27","cited_by_count":7,"area":null},{"id":"2309.01943","title":"Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery","created":"2023-09-05","cited_by_count":7,"area":null},{"id":"2208.13138","title":"ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers","created":"2022-08-28","cited_by_count":6,"area":null},{"id":"2211.09446","title":"Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks","created":"2022-11-17","cited_by_count":6,"area":null},{"id":"2407.10756","title":"GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation","created":"2024-07-15","cited_by_count":6,"area":null},{"id":"2212.07055","title":"Most Important Person-guided Dual-branch Cross-Patch Attention for Group Affect Recognition","created":"2022-12-14","cited_by_count":5,"area":null},{"id":"2305.07825","title":"Student Classroom Behavior Detection based on YOLOv7-BRA and Multi-Model Fusion","created":"2023-05-13","cited_by_count":5,"area":null},{"id":"2405.13337","title":"Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens","created":"2024-05-22","cited_by_count":5,"area":null},{"id":"2410.08582","title":"DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention","created":"2024-10-11","cited_by_count":4,"area":null},{"id":"2506.09919","title":"MetricHMSR:Metric Human Mesh and Scene Recovery from Monocular Images","created":"2025-06-11","cited_by_count":4,"area":null},{"id":"2603.16063","title":"ViT-AdaLA: Adapting Vision Transformers with Linear Attention","created":"2026-03-17","cited_by_count":4,"area":null},{"id":"2306.03318","title":"Student Classroom Behavior Detection based on Improved YOLOv7","created":"2023-06-06","cited_by_count":3,"area":null},{"id":"2409.09501","title":"Synthetic4Health: Generating Annotated Synthetic Clinical Letters","created":"2024-09-14","cited_by_count":3,"area":null},{"id":"2504.02440","title":"HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning","created":"2025-04-03","cited_by_count":3,"area":null},{"id":"2507.18848","title":"PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis","created":"2025-07-24","cited_by_count":3,"area":null},{"id":"2306.08073","title":"Dynamic Clustering Transformer Network for Point Cloud Segmentation","created":"2023-05-30","cited_by_count":2,"area":null},{"id":"2404.16880","title":"Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation","created":"2024-04-23","cited_by_count":2,"area":null},{"id":"2404.19401","title":"UniFS: Universal Few-shot Instance Perception with Point Representations","created":"2024-04-30","cited_by_count":2,"area":null},{"id":"2505.03113","title":"Image Recognition with Online Lightweight Vision Transformer: A Survey","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2506.03885","title":"Video, How Do Your Tokens Merge?","created":"2025-06-04","cited_by_count":2,"area":null},{"id":"2602.18830","title":"Spatial-Temporal State Propagation Autoregressive Model for 4D Object Generation","created":"2026-02-21","cited_by_count":2,"area":null},{"id":"2212.03338","title":"Framework-agnostic Semantically-aware Global Reasoning for Segmentation","created":"2022-12-06","cited_by_count":1,"area":null},{"id":"2401.16700","title":"Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational Transformers","created":"2024-01-30","cited_by_count":1,"area":null},{"id":"2407.10220","title":"PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation","created":"2024-07-14","cited_by_count":1,"area":null},{"id":"2409.07541","title":"ENACT: Entropy-based Clustering of Attention Input for Reducing the Computational Needs of Object Detection Transformers","created":"2024-09-11","cited_by_count":1,"area":null},{"id":"2501.00243","title":"Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition","created":"2024-12-31","cited_by_count":1,"area":null},{"id":"2501.10958","title":"Rethinking Early-Fusion Strategies for Improved Multimodal Image Segmentation","created":"2025-01-19","cited_by_count":1,"area":null},{"id":"2505.24033","title":"Studying the Soupability of Documents in State Space Models","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2507.10283","title":"FTCFormer: Fuzzy Token Clustering Transformer for Image Classification","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2605.14315","title":"TurboVGGT: Fast Visual Geometry Reconstruction with Adaptive Alternating Attention","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2605.22476","title":"Structured-Sparse Attention for Entity Tracking with Subquadratic Sequence Complexity","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2305.14840","title":"Predicting Token Impact Towards Efficient Vision Transformer","created":"2023-05-24","cited_by_count":0,"area":null},{"id":"2306.01929","title":"Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work","created":"2023-06-02","cited_by_count":0,"area":null},{"id":"2307.16061","title":"HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation","created":"2023-07-29","cited_by_count":0,"area":null},{"id":"2409.06963","title":"Brain-Inspired Stepwise Patch Merging for Vision Transformers","created":"2024-09-11","cited_by_count":0,"area":null},{"id":"2507.21761","title":"IMC-Net: A Lightweight Content-Conditioned Encoder with Multi-Pass Processing for Image Classification","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2511.19062","title":"Granular Computing-driven SAM: From Coarse-to-Fine Guidance for Prompt-Free Segmentation","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2511.21202","title":"Towards an Effective Action-Region Tracking Framework for Fine-grained Video Action Recognition","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2605.01742","title":"Joint Architecture-Token-Bitwidth Multi-Axis Optimization of Vision Transformers for Semiconductor IC Packaging","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2610.04853","title":"One Tile, Multiple Instances: Rethinking MIL for Sparse Diagnostic Evidence","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.17707","title":"Focus on What You Need: Global-to-Local Dynamic Attention for Multimodal Sarcasm Detection","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}