DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion With Deep Association. - Xiyang Wang 002; Chunyun Fu; Zhankun Li; Ying Lai; Jiawei He 005 (IEEE Robotics Autom. Lett., 2022)

3D Multi-Object Tracking Based on Uncertainty-Guided Data Association. - Jiawei He 005; Chunyun Fu; Xiyang Wang 002 (CoRR, 2023)

You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking. - Xiyang Wang 002; Jiawei He 005; Chunyun Fu; Ting Meng; Mingguang Huang (CoRR, 2023)

Localization-Guided Track: A Deep Association Multi-Object Tracking Framework Based on Localization Confidence of Detections. - Ting Meng; Chunyun Fu; Mingguang Huang; Xiyang Wang 002; Jiawei He 005; Tao Huang; Wankai Shi (CoRR, 2023)

3D multi-object tracking based on informatic divergence-guided data association. - Jiawei He 005; Chunyun Fu; Xiyang Wang 002; Jianwen Wang (Signal Process., 2024)

A Multi-Modal Fusion-Based 3D Multi-Object Tracking Framework With Joint Detection. - Xiyang Wang 002; Chunyun Fu; Jiawei He 005; Mingguang Huang; Ting Meng; Siyu Zhang 002; Hangning Zhou; Ziyao Xu 003; Chi Zhang 067 (IEEE Robotics Autom. Lett., 2025)