Jinghan Gao

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Object Tracking

Online Training

Incremental Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Xiaoyu Li, Dedong Liu, Lijun Zhao, Yitao Wu, Xian Wu, Jinghan Gao
Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking. CoRR (2024)
Jinghan Gao, Tao Xie, Ruifeng Li, Ke Wang, Lijun Zhao
APM: Adaptive parameter multiplexing for class incremental learning. Expert Syst. Appl. 258 (2024)
Xiaoyu Li, Tao Xie, Dedong Liu, Jinghan Gao, Kun Dai, Zhiqiang Jiang, Lijun Zhao, Ke Wang
Poly-MOT: A Polyhedral Framework For 3D Multi-Object Tracking. IROS (2023)
Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes. CoRR (2023)
Li Wang, Xinyu Zhang, Wenyuan Qin, Xiaoyu Li, Jinghan Gao, Lei Yang, Zhiwei Li, Jun Li, Lei Zhu, Hong Wang, Huaping Liu
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking With Camera-LiDAR Fusion. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Tao Xie, Jinghan Gao, Ke Wang, Ruifeng Li
GCA-Net: A Global Context Aggregation Network for Effective Optical Flow. IECON (2023)
Xiaoyu Li, Tao Xie, Dedong Liu, Jinghan Gao, Kun Dai, Zhiqiang Jiang, Lijun Zhao, Ke Wang
Poly-MOT: A Polyhedral Framework For 3D Multi-Object Tracking. CoRR (2023)
Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes. ICCV (2023)
Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Ximei Wang, Jinghan Gao, Jianmin Wang, Mingsheng Long
Self-Tuning for Data-Efficient Deep Learning. CoRR (2021)
Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang
Self-Tuning for Data-Efficient Deep Learning. ICML (2021)
Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long
Omni-Training for Data-Efficient Deep Learning. CoRR (2021)