2 code implementations • 14 Dec 2023 • Wenhai Wang, Jiangwei Xie, Chuanyang Hu, Haoming Zou, Jianan Fan, Wenwen Tong, Yang Wen, Silei Wu, Hanming Deng, Zhiqi Li, Hao Tian, Lewei Lu, Xizhou Zhu, Xiaogang Wang, Yu Qiao, Jifeng Dai
In this work, we delve into the potential of large language models (LLMs) in autonomous driving (AD).
1 code implementation • 20 Jun 2023 • Chuanyang Hu, Shipeng Yan, Zhitong Gao, Xuming He
Despite deep learning has achieved great success, it often relies on a large amount of training data with accurate labels, which are expensive and time-consuming to collect.
no code implementations • 19 Aug 2022 • Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He
In this paper, we study the problem of one-shot skeleton-based action recognition, which poses unique challenges in learning transferable representation from base classes to novel classes, particularly for fine-grained actions.
no code implementations • 24 Jun 2022 • Chuyu Zhang, Chuanyang Hu, Ruijie Xu, Zhitong Gao, Qian He, Xuming He
Our insight is to utilize mutual information to measure the relation between seen classes and unseen classes in a restricted label space and maximizing mutual information promotes transferring semantic knowledge.
1 code implementation • 10 Mar 2022 • Chuyu Zhang, Chuanyang Hu, Hui Ren, Yongfei Liu, Xuming He
We aim to tackle the problem of point-based interactive segmentation, in which the key challenge is to propagate the user-provided annotations to unlabeled regions efficiently.
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