1 code implementation • 18 Mar 2024 • Enshen Zhou, Yiran Qin, Zhenfei Yin, Yuzhou Huang, Ruimao Zhang, Lu Sheng, Yu Qiao, Jing Shao
It is a long-lasting goal to design a generalist-embodied agent that can follow diverse instructions in human-like ways.
no code implementations • 7 Feb 2024 • Chaoqun Wang, Yiran Qin, Zijian Kang, Ningning Ma, Ruimao Zhang
First, a depth estimation (DE) scheme leverages relative depth information to realize the effective feature lifting from 2D to 3D spaces.
1 code implementation • 12 Dec 2023 • Yiran Qin, Enshen Zhou, Qichang Liu, Zhenfei Yin, Lu Sheng, Ruimao Zhang, Yu Qiao, Jing Shao
It is a long-lasting goal to design an embodied system that can solve long-horizon open-world tasks in human-like ways.
1 code implementation • ICCV 2023 • Yiran Qin, Chaoqun Wang, Zijian Kang, Ningning Ma, Zhen Li, Ruimao Zhang
In this paper, we propose a novel training strategy called SupFusion, which provides an auxiliary feature level supervision for effective LiDAR-Camera fusion and significantly boosts detection performance.