no code implementations • CVPR 2023 • Yajing Liu, Yuning Lu, Hao liu, Yaozu An, Zhuoran Xu, Zhuokun Yao, Baofeng Zhang, Zhiwei Xiong, Chenguang Gui
Considering this, we present Hierarchical Prompt (HiPro) learning, a simple and effective method for jointly adapting a pre-trained VLM to multiple downstream tasks.
no code implementations • 15 Nov 2022 • Hao liu, Zhuoran Xu, Dan Wang, Baofeng Zhang, Guan Wang, Bo Dong, Xin Wen, Xinyu Xu
3D object detection is a critical task in autonomous driving.
no code implementations • 29 Sep 2021 • Zhuoran Xu, Hao liu, Bo Dong
In this paper we propose a novel idea, "There are free lunches" (TAFL) Theorem, which states that some algorithms can achieve the best performance in all possible tasks, in the condition that tasks are given in a specific order.
no code implementations • 9 Aug 2021 • Zhuoran Xu, Hao liu
Artificial Intelligence has been developed for decades with the achievement of great progress.
no code implementations • 30 Mar 2021 • Bo Dong, Hao liu, Yu Bai, Jinbiao Lin, Zhuoran Xu, Xinyu Xu, Qi Kong
Predicting future trajectories of surrounding obstacles is a crucial task for autonomous driving cars to achieve a high degree of road safety.
no code implementations • 21 Oct 2019 • Ke Zhan, Shimiao Jiang, Yu Bai, Yi Li, Xu Liu, Zhuoran Xu
Eltwise layer is a commonly used structure in the multi-branch deep learning network.