1 code implementation • 24 May 2024 • Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong liu, Yu Qiao
Experiments also demonstrate that as the memory bank expands, the Heuristic Process with only 1. 8B parameters can inherit the knowledge from a GPT-4 powered Analytic Process and achieve continuous performance improvement.
1 code implementation • 3 Feb 2024 • Han Li, Yukai Ma, Yuehao Huang, Yaqing Gu, Weihua Xu, Yong liu, Xingxing Zuo
Dense depth recovery is crucial in autonomous driving, serving as a foundational element for obstacle avoidance, 3D object detection, and local path planning.
1 code implementation • 9 Jan 2024 • Han Li, Yukai Ma, Yaqing Gu, Kewei Hu, Yong liu, Xingxing Zuo
To circumvent this issue, we learn to augment versatile and robust monocular depth prediction with the dense metric scale induced from sparse and noisy Radar data.
1 code implementation • 10 Oct 2023 • Jingyang Xiang, Siqi Li, Jun Chen, Shipeng Bai, Yukai Ma, Guang Dai, Yong liu
To overcome them, this paper proposes a novel \emph{\textbf{S}oft \textbf{U}niform \textbf{B}lock \textbf{P}runing} (SUBP) approach to train a uniform 1$\times$N sparse structured network from scratch.
1 code implementation • 13 Mar 2023 • Chencan Fu, Lin Li, Linpeng Peng, Yukai Ma, Xiangrui Zhao, Yong liu
Place recognition is a challenging yet crucial task in robotics.