1 code implementation • 5 Dec 2023 • Zhiqi Li, Zhiding Yu, Shiyi Lan, Jiahan Li, Jan Kautz, Tong Lu, Jose M. Alvarez
We initially observed that the nuScenes dataset, characterized by relatively simple driving scenarios, leads to an under-utilization of perception information in end-to-end models incorporating ego status, such as the ego vehicle's velocity.
no code implementations • 29 Jan 2023 • Qiong Wu, Jiahan Li, Pingyang Dai, Qixiang Ye, Liujuan Cao, Yongjian Wu, Rongrong Ji
The knowledge transfer between two networks is based on an asymmetric mutual learning manner.
1 code implementation • CVPR 2022 • Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma
In this work, we propose a novel and simple framework to achieve equivariance for point cloud analysis based on the message passing (graph neural network) scheme.
no code implementations • 28 Jan 2022 • Jiahan Li
In this work, we propose the Directed Weight Neural Network for better capturing geometric relations among different amino acids.