1 code implementation • 20 Mar 2024 • Xiaoyu Li, Dedong Liu, Lijun Zhao, Yitao Wu, Xian Wu, Jinghan Gao
3D Multi-Object Tracking (MOT) captures stable and comprehensive motion states of surrounding obstacles, essential for robotic perception.
Ranked #1 on 3D Multi-Object Tracking on nuScenes
1 code implementation • ICCV 2023 • Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li
In this work, we seek to predict camera poses across scenes with a multi-task learning manner, where we view the localization of each scene as a new task.
no code implementations • 14 Oct 2021 • Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
While pre-training and meta-training can create deep models powerful for few-shot generalization, we find that pre-training and meta-training focuses respectively on cross-domain transferability and cross-task transferability, which restricts their data efficiency in the entangled settings of domain shift and task shift.
2 code implementations • 25 Feb 2021 • Ximei Wang, Jinghan Gao, Mingsheng Long, Jianmin Wang
Deep learning has made revolutionary advances to diverse applications in the presence of large-scale labeled datasets.