Article Summary

• Physical ID-Transfer Attacks against Multi-Object Tracking via Adversarial Trajectory Author A, Author B, Author C
  Multi-Object Tracking Adversarial Attacks Physical Adversarial Examples Trajectory Optimization Object Re-identification
  Published: 2025-12-07 Link: https://arxiv.org/pdf/2512.01934.pdf
• TagSplat: Topology-Aware Gaussian Splatting for Dynamic Mesh Modeling and Tracking A. Author, B. Co-Author, C. Third-Author
  Gaussian Splatting Dynamic Mesh Topology-Aware 3D Reconstruction Object Tracking
  Published: 2025-12-06 Link: https://arxiv.org/pdf/2512.01329.pdf
• AerialMind: Towards Referring Multi-Object Tracking in UAV Scenarios Jian Li, Wei Chen, Ling Wang, Peng Zhang
  Multi-Object Tracking Referring Expressions UAV Vision-Language Models Aerial Surveillance
  Published: 2025-11-29 Link: https://arxiv.org/pdf/2511.21053.pdf
• MambaTrack3D: A State Space Model Framework for LiDAR-Based Object Tracking under High Temporal Variation Jian Li, Wei Chen, Xin Wang
  LiDAR Tracking State Space Models Mamba Object Tracking Autonomous Driving
  Published: 2025-11-22 Link: https://arxiv.org/pdf/2511.15077.pdf
• PlanarTrack: A high-quality and challenging benchmark for large-scale planar object tracking Meng Lan, Yihong Xu, Yujie Zhou, Binqiang Zhang, Yang Liu, Xiaohua Li, Zihang Lai, Wenlong Wang, Hongxing Li, Shanshan Zhang, Junjie Liu, Huazhong Yang
  Planar Object Tracking Dataset Benchmark Deep Learning Transformer
  Published: 2025-10-28 Link: https://arxiv.org/pdf/2510.23368.pdf
• Is This Tracker On? A Benchmark Protocol for Dynamic Tracking Jian Li, Wei Zhang, Chen Wang
  Dynamic Tracking Benchmark Protocol Object Tracking Performance Evaluation Tracking Metrics
  Published: 2025-10-25 Link: https://arxiv.org/pdf/2510.19819.pdf
• EPIPTrack: Rethinking Prompt Modeling with Explicit and Implicit Prompts for Multi-Object Tracking Jianping Fan, Ying-Li Tian, Bing-Kun Bao
  Multi-Object Tracking Prompt Learning Deep Learning Object Association Computer Vision
  Published: 2025-10-20 Link: https://arxiv.org/pdf/2510.13235.pdf