{"total":62,"rows":[{"id":"2110.06864","title":"ByteTrack: Multi-Object Tracking by Associating Every Detection Box","created":"2021-10-13","cited_by_count":823,"area":null},{"id":"2305.13786","title":"Perception Test: A Diagnostic Benchmark for Multimodal Video Models","created":"2023-05-23","cited_by_count":314,"area":"lr"},{"id":"2207.07078","title":"Towards Grand Unification of Object Tracking","created":"2022-07-14","cited_by_count":93,"area":null},{"id":"2308.05140","title":"Robust Object Modeling for Visual Tracking","created":"2023-08-09","cited_by_count":80,"area":null},{"id":"2204.04656","title":"Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation","created":"2022-04-10","cited_by_count":79,"area":null},{"id":"2403.09634","title":"OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning","created":"2024-03-14","cited_by_count":65,"area":null},{"id":"2406.04221","title":"Matching Anything by Segmenting Anything","created":"2024-06-06","cited_by_count":50,"area":null},{"id":"2306.05238","title":"SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth","created":"2023-06-08","cited_by_count":48,"area":null},{"id":"2304.11234","title":"Advances in Deep Concealed Scene Understanding","created":"2023-04-21","cited_by_count":47,"area":null},{"id":"2311.17058","title":"Panoptic Video Scene Graph Generation","created":"2023-11-28","cited_by_count":46,"area":null},{"id":"2206.04656","title":"Simple Cues Lead to a Strong Multi-Object Tracker","created":"2022-06-09","cited_by_count":44,"area":null},{"id":"2112.02582","title":"PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation","created":"2021-12-05","cited_by_count":36,"area":null},{"id":"2201.08379","title":"Learning Pixel Trajectories with Multiscale Contrastive Random Walks","created":"2022-01-20","cited_by_count":36,"area":null},{"id":"2210.11464","title":"Self-Supervised Learning via Maximum Entropy Coding","created":"2022-10-20","cited_by_count":33,"area":null},{"id":"2203.15175","title":"Unified Transformer Tracker for Object Tracking","created":"2022-03-29","cited_by_count":31,"area":null},{"id":"2402.18115","title":"UniVS: Unified and Universal Video Segmentation with Prompts as Queries","created":"2024-02-28","cited_by_count":27,"area":null},{"id":"2210.11940","title":"JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking","created":"2022-10-20","cited_by_count":25,"area":null},{"id":"2303.12782","title":"Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation","created":"2023-03-22","cited_by_count":23,"area":null},{"id":"2304.00571","title":"DropMAE: Learning Representations via Masked Autoencoders with Spatial-Attention Dropout for Temporal Matching Tasks","created":"2023-04-02","cited_by_count":22,"area":null},{"id":"2405.10305","title":"4D Panoptic Scene Graph Generation","created":"2024-05-16","cited_by_count":22,"area":null},{"id":"2308.11157","title":"TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes","created":"2023-08-22","cited_by_count":21,"area":null},{"id":"2303.15334","title":"ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box","created":"2023-03-27","cited_by_count":20,"area":null},{"id":"2303.12079","title":"OmniTracker: Unifying Object Tracking by Tracking-with-Detection","created":"2023-03-21","cited_by_count":19,"area":null},{"id":"2204.12489","title":"Sound Localization by Self-Supervised Time Delay Estimation","created":"2022-04-26","cited_by_count":18,"area":null},{"id":"2209.09341","title":"A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation","created":"2022-09-19","cited_by_count":15,"area":null},{"id":"2405.06600","title":"Multi-Object Tracking in the Dark","created":"2024-05-10","cited_by_count":14,"area":null},{"id":"2505.04616","title":"Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait","created":"2025-05-07","cited_by_count":14,"area":null},{"id":"2209.07778","title":"Spatial-then-Temporal Self-Supervised Learning for Video Correspondence","created":"2022-09-16","cited_by_count":13,"area":null},{"id":"2307.15409","title":"Uncertainty-aware Unsupervised Multi-Object Tracking","created":"2023-07-28","cited_by_count":12,"area":null},{"id":"2410.11187","title":"Multiview Scene Graph","created":"2024-10-15","cited_by_count":9,"area":null},{"id":"2412.07160","title":"Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation","created":"2024-12-10","cited_by_count":9,"area":null},{"id":"2403.08018","title":"Learning Data Association for Multi-Object Tracking using Only Coordinates","created":"2024-03-12","cited_by_count":8,"area":null},{"id":"2311.14762","title":"The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024","created":"2023-11-23","cited_by_count":7,"area":null},{"id":"2203.05553","title":"Transfer of Representations to Video Label Propagation: Implementation Factors Matter","created":"2022-03-10","cited_by_count":5,"area":null},{"id":"2308.13266","title":"Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation","created":"2023-08-25","cited_by_count":5,"area":null},{"id":"2305.14577","title":"Difference-Masking: Choosing What to Mask in Continued Pretraining","created":"2023-05-23","cited_by_count":4,"area":null},{"id":"2406.01559","title":"Prototypical Transformer as Unified Motion Learners","created":"2024-06-03","cited_by_count":4,"area":null},{"id":"2409.17221","title":"Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs","created":"2024-09-25","cited_by_count":4,"area":null},{"id":"2206.02116","title":"Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos","created":"2022-06-05","cited_by_count":2,"area":null},{"id":"2410.14093","title":"Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines","created":"2024-10-18","cited_by_count":2,"area":null},{"id":"2506.00083","title":"Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments","created":"2025-05-30","cited_by_count":2,"area":null},{"id":"2509.06165","title":"UNO: Unifying One-stage Video Scene Graph Generation via Object-Centric Visual Representation Learning","created":"2025-09-07","cited_by_count":2,"area":null},{"id":"2110.11284","title":"Multi-Object Tracking and Segmentation with a Space-Time Memory Network","created":"2021-10-21","cited_by_count":1,"area":null},{"id":"2306.09613","title":"UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation","created":"2023-06-16","cited_by_count":1,"area":null},{"id":"2308.01622","title":"ReIDTrack: Multi-Object Track and Segmentation Without Motion","created":"2023-08-03","cited_by_count":1,"area":null},{"id":"2309.02903","title":"Towards Efficient Training with Negative Samples in Visual Tracking","created":"2023-09-06","cited_by_count":1,"area":null},{"id":"2405.01053","title":"On the Universality of Self-Supervised Learning","created":"2024-05-02","cited_by_count":1,"area":null},{"id":"2410.10053","title":"DINTR: Tracking via Diffusion-based Interpolation","created":"2024-10-14","cited_by_count":1,"area":"diffusion"},{"id":"2505.17475","title":"PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation","created":"2025-05-23","cited_by_count":1,"area":null},{"id":"2510.18822","title":"SAM 2++: Tracking Anything at Any Granularity","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2511.19475","title":"Tracking and Segmenting Anything in Any Modality","created":"2025-11-22","cited_by_count":1,"area":null},{"id":"2602.00570","title":"GLAD: Generative Language-Assisted Visual Tracking for Low-Semantic Templates","created":"2026-01-31","cited_by_count":1,"area":null},{"id":"2111.01606","title":"PolyTrack: Tracking with Bounding Polygons","created":"2021-11-02","cited_by_count":0,"area":null},{"id":"2303.01991","title":"Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs","created":"2023-03-03","cited_by_count":0,"area":null},{"id":"2308.04598","title":"1st Place Solution for CVPR2023 BURST Long Tail and Open World Challenges","created":"2023-08-08","cited_by_count":0,"area":null},{"id":"2311.07616","title":"ReIDTracker Sea: the technical report of BoaTrack and SeaDronesSee-MOT challenge at MaCVi of WACV24","created":"2023-11-12","cited_by_count":0,"area":null},{"id":"2312.13090","title":"Perception Test 2023: A Summary of the First Challenge And Outcome","created":"2023-12-20","cited_by_count":0,"area":null},{"id":"2405.10439","title":"Beyond Traditional Single Object Tracking: A Survey","created":"2024-05-16","cited_by_count":0,"area":null},{"id":"2511.11824","title":"SOTFormer: A Minimal Transformer for Unified Object Tracking and Trajectory Prediction","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2511.15948","title":"Click2Graph: Interactive Panoptic Video Scene Graphs from a Single Click","created":"2025-11-20","cited_by_count":0,"area":null},{"id":"2604.26353","title":"GateMOT: Q-Gated Attention for Dense Object Tracking","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2607.17157","title":"VLA-ReID: Video-Level Association for Re-Identification in Multi-Object Tracking with Highly Similar Objects","created":"2026-07-19","cited_by_count":0,"area":null}],"next_cursor":null}