{"total":42,"rows":[{"id":"2203.14360","title":"Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking","created":"2022-03-27","cited_by_count":346,"area":null},{"id":"2307.15055","title":"PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking","created":"2023-07-27","cited_by_count":276,"area":null},{"id":"2204.04153","title":"Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories","created":"2022-04-08","cited_by_count":217,"area":null},{"id":"2204.06918","title":"SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos","created":"2022-04-14","cited_by_count":80,"area":null},{"id":"2407.05921","title":"TAPVid-3D: A Benchmark for Tracking Any Point in 3D","created":"2024-07-08","cited_by_count":72,"area":null},{"id":"2506.07310","title":"AllTracker: Efficient Dense Point Tracking at High Resolution","created":"2025-06-08","cited_by_count":58,"area":null},{"id":"2203.10433","title":"End-to-End Human-Gaze-Target Detection with Transformers","created":"2022-03-20","cited_by_count":47,"area":null},{"id":"2203.12335","title":"DR.VIC: Decomposition and Reasoning for Video Individual Counting","created":"2022-03-23","cited_by_count":18,"area":null},{"id":"2211.02175","title":"Large Scale Real-World Multi-Person Tracking","created":"2022-11-03","cited_by_count":14,"area":null},{"id":"2308.16187","title":"Boosting Detection in Crowd Analysis via Underutilized Output Features","created":"2023-08-30","cited_by_count":14,"area":null},{"id":"2408.00969","title":"Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach","created":"2024-08-02","cited_by_count":13,"area":null},{"id":"2206.05717","title":"Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped Teacher","created":"2022-06-12","cited_by_count":12,"area":null},{"id":"2209.04796","title":"In Pursuit of Many: A Review of Modern Multiple Object Tracking Systems","created":"2022-09-11","cited_by_count":12,"area":null},{"id":"2401.00850","title":"Refining Pre-Trained Motion Models","created":"2024-01-01","cited_by_count":12,"area":null},{"id":"2506.15368","title":"Open-World Object Counting in Videos","created":"2025-06-18","cited_by_count":11,"area":null},{"id":"2306.02000","title":"Context-PIPs: Persistent Independent Particles Demands Spatial Context Features","created":"2023-06-03","cited_by_count":9,"area":null},{"id":"2308.13857","title":"Joint Gaze-Location and Gaze-Object Detection","created":"2023-08-26","cited_by_count":6,"area":null},{"id":"2312.05923","title":"Weakly Supervised Video Individual CountingWeakly Supervised Video Individual Counting","created":"2023-12-10","cited_by_count":5,"area":null},{"id":"2111.05060","title":"View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements","created":"2021-11-09","cited_by_count":4,"area":null},{"id":"2503.10701","title":"Video Individual Counting for Moving Drones","created":"2025-03-12","cited_by_count":4,"area":null},{"id":"2212.11542","title":"Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks","created":"2022-12-22","cited_by_count":3,"area":null},{"id":"2407.17272","title":"DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance Synergy","created":"2024-07-24","cited_by_count":3,"area":null},{"id":"2206.08172","title":"RefCrowd: Grounding the Target in Crowd with Referring Expressions","created":"2022-06-16","cited_by_count":2,"area":null},{"id":"2304.07705","title":"Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads","created":"2023-04-16","cited_by_count":2,"area":null},{"id":"2304.10765","title":"BPJDet: Extended Object Representation for Generic Body-Part Joint Detection","created":"2023-04-21","cited_by_count":2,"area":null},{"id":"2505.16029","title":"Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2506.13067","title":"Video Individual Counting With Implicit One-to-Many Matching","created":"2025-06-16","cited_by_count":2,"area":null},{"id":"2601.01192","title":"Crowded Video Individual Counting Informed by Social Grouping and Spatial-Temporal Displacement Priors","created":"2026-01-03","cited_by_count":2,"area":null},{"id":"2107.13273","title":"Rank-based verification for long-term face tracking in crowded scenes","created":"2021-07-28","cited_by_count":1,"area":null},{"id":"2407.14725","title":"CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting","created":"2024-07-20","cited_by_count":1,"area":null},{"id":"2601.12500","title":"Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods","created":"2026-01-18","cited_by_count":1,"area":null},{"id":"2110.03302","title":"MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings","created":"2021-10-07","cited_by_count":0,"area":null},{"id":"2402.15895","title":"Multi-Object Tracking by Hierarchical Visual Representations","created":"2024-02-24","cited_by_count":0,"area":null},{"id":"2405.04943","title":"Unsupervised Skin Feature Tracking with Deep Neural Networks","created":"2024-05-08","cited_by_count":0,"area":null},{"id":"2411.18164","title":"RPEE-HEADS: A Novel Benchmark for Pedestrian Head Detection in Crowd Videos","created":"2024-11-27","cited_by_count":0,"area":null},{"id":"2503.12944","title":"GIFT: Generated Indoor video frames for Texture-less point tracking","created":"2025-03-17","cited_by_count":0,"area":null},{"id":"2505.22677","title":"Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking","created":"2025-05-14","cited_by_count":0,"area":null},{"id":"2508.05514","title":"Head Anchor Enhanced Detection and Association for Crowded Pedestrian Tracking","created":"2025-08-07","cited_by_count":0,"area":null},{"id":"2510.03314","title":"From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2603.18166","title":"Efficient Dense Crowd Trajectory Prediction Via Dynamic Clustering","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2608.23845","title":"Object Counting Across Modalities: Taxonomies, Benchmarks, Applications, and Open Challenges","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.07685","title":"CrowdTraj: A Benchmark for Dense Crowd Trajectory Prediction in Realistic Crowded Environments","created":"2026-09-07","cited_by_count":0,"area":null}],"next_cursor":null}