{"total":23,"rows":[{"id":"2111.09621","title":"SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking","created":"2021-11-18","cited_by_count":103,"area":null},{"id":"2104.00194","title":"TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking","created":"2021-04-01","cited_by_count":93,"area":null},{"id":"2103.16178","title":"Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking","created":"2021-03-30","cited_by_count":47,"area":null},{"id":"2103.15145","title":"TransCenter: Transformers with Dense Representations for Multiple-Object Tracking","created":"2021-03-28","cited_by_count":42,"area":null},{"id":"2111.11892","title":"LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking","created":"2021-11-23","cited_by_count":34,"area":null},{"id":"2308.13229","title":"ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking","created":"2023-08-25","cited_by_count":24,"area":null},{"id":"2108.10606","title":"Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths","created":"2021-08-24","cited_by_count":19,"area":null},{"id":"2203.16210","title":"Learning of Global Objective for Network Flow in Multi-Object Tracking","created":"2022-03-30","cited_by_count":11,"area":null},{"id":"2204.07482","title":"Towards PAC Multi-Object Detection and Tracking","created":"2022-04-15","cited_by_count":8,"area":null},{"id":"2108.05697","title":"Local Correlation Clustering with Asymmetric Classification Errors","created":"2021-08-11","cited_by_count":7,"area":null},{"id":"2108.05696","title":"Correlation Clustering with Asymmetric Classification Errors","created":"2021-08-11","cited_by_count":6,"area":null},{"id":"2209.11404","title":"Towards Frame Rate Agnostic Multi-Object Tracking","created":"2022-09-23","cited_by_count":6,"area":null},{"id":"2302.02444","title":"Spatio-Temporal Point Process for Multiple Object Tracking","created":"2023-02-05","cited_by_count":5,"area":null},{"id":"2412.01296","title":"I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames","created":"2024-12-02","cited_by_count":3,"area":null},{"id":"2303.15414","title":"Learnable Graph Matching: A Practical Paradigm for Data Association","created":"2023-03-27","cited_by_count":2,"area":null},{"id":"2507.08494","title":"One Graph to Track Them All: Dynamic GNNs for Single- and Multi-View Tracking","created":"2025-07-11","cited_by_count":2,"area":null},{"id":"2208.03571","title":"Transformer-based assignment decision network for multiple object tracking","created":"2022-08-06","cited_by_count":1,"area":null},{"id":"2108.05331","title":"Two is a crowd: tracking relations in videos","created":"2021-08-11","cited_by_count":0,"area":null},{"id":"2110.03646","title":"Using Keypoint Matching and Interactive Self Attention Network to verify Retail POSMs","created":"2021-10-07","cited_by_count":0,"area":null},{"id":"2208.12636","title":"Four Algorithms for Correlation Clustering: A Survey","created":"2022-08-24","cited_by_count":0,"area":null},{"id":"2402.12968","title":"MapTrack: Tracking in the Map","created":"2024-02-20","cited_by_count":0,"area":null},{"id":"2603.19762","title":"PCSTracker: Long-Term Scene Flow Estimation for Point Cloud Sequences","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2604.27968","title":"ClimateVID -- Social Media Videos Analysis and Challenges Involved","created":"2026-04-30","cited_by_count":0,"area":null}],"next_cursor":null}