Jinghan Gao

According to our database, Jinghan Gao authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking.

Xiaoyu Li, Dedong Liu, Lijun Zhao, Yitao Wu, Xian Wu, Jinghan Gao

CoRR, 2024

2023

Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning.

Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking With Camera-LiDAR Fusion.

Li Wang, Xinyu Zhang, Wenyuan Qin, Xiaoyu Li, Jinghan Gao, Lei Yang, Zhiwei Li, Jun Li, Lei Zhu, Hong Wang, Huaping Liu

IEEE Trans. Intell. Transp. Syst., November, 2023

OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes.

Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li

CoRR, 2023

Poly-MOT: A Polyhedral Framework For 3D Multi-Object Tracking.

Xiaoyu Li, Tao Xie, Dedong Liu, Jinghan Gao, Kun Dai, Zhiqiang Jiang, Lijun Zhao, Ke Wang

IROS, 2023

GCA-Net: A Global Context Aggregation Network for Effective Optical Flow.

Tao Xie, Jinghan Gao, Ke Wang, Ruifeng Li

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes.

Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Omni-Training for Data-Efficient Deep Learning.

Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long

CoRR, 2021

Self-Tuning for Data-Efficient Deep Learning.

Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang

Proceedings of the 38th International Conference on Machine Learning, 2021