Wenxin Shao — accepted AI-conference papers

2024

Solving Motion Planning Tasks with a Scalable Generative Model

Yihan Hu*, Siqi Chai, Zhening Yang, Jingyu Qian, Kun Li, Wenxin Shao +3

ECCV 2024poster

"As autonomous driving systems being deployed to millions of vehicles, there is a pressing need of improving the system’s scalability, safety and reducing the engineering cost. A realistic, scalable, and practical simulator of the driving world is highly desired. In this paper, we present an efficie…

Cited by 19 Source ↗PDF ↗code ↗Scholar ↗

2022

AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds

Yihan Hu, Zhuangzhuang Ding, Runzhou Ge, Wenxin Shao, Li Huang, Kun Li +1

AAAI 2022technical

There have been two streams in the 3D detection from point clouds: single-stage methods and two-stage methods. While the former is more computationally efficient, the latter usually provides better detection accuracy. By carefully examining the two-stage approaches, we have found that if appropriate…

Cited by 147 Source ↗PDF ↗code ↗Scholar ↗