1 code implementation • 25 Apr 2023 • Huan-ang Gao, Beiwen Tian, Pengfei Li, Hao Zhao, Guyue Zhou
While this paradigm is natural for image-level or pixel-level prediction, adapting it to the detection problem is challenged by the issue of proposal matching.
1 code implementation • CVPR 2023 • Xinyu Liu, Beiwen Tian, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao, Guyue Zhou
Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a surprisingly high accuracy.
1 code implementation • 31 Jan 2023 • Huan-ang Gao, Beiwen Tian, Pengfei Li, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Yurong Chen, Hongbin Zha
But adapting this scheme to the state-of-the-art (SOTA) solution for PC-based layout estimation is not straightforward.
1 code implementation • 20 Oct 2022 • Beiwen Tian, Liyi Luo, Hao Zhao, Guyue Zhou
In the first stage, we perform self-supervised representation learning on unlabeled points with the proposed Viewpoint Bottleneck loss function.
1 code implementation • 19 Oct 2022 • Pengfei Li, Beiwen Tian, Yongliang Shi, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
As such, we study the challenging problem of task oriented detection, which aims to find objects that best afford an action indicated by verbs like sit comfortably on.
1 code implementation • 16 Aug 2022 • Bu Jin, Beiwen Tian, Hao Zhao, Guyue Zhou
We address the new problem of language-guided semantic style transfer of 3D indoor scenes.
1 code implementation • 17 Apr 2022 • Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren
Humans can perform unseen tasks by recalling relevant skills acquired previously and then generalizing them to the target tasks, even if there is no supervision at all.
1 code implementation • 17 Sep 2021 • Liyi Luo, Beiwen Tian, Hao Zhao, Guyue Zhou
Semantic understanding of 3D point clouds is important for various robotics applications.