no code implementations • 4 Feb 2024 • Haoyi Zhu, Yating Wang, Di Huang, Weicai Ye, Wanli Ouyang, Tong He
In this study, we explore the influence of different observation spaces on robot learning, focusing on three predominant modalities: RGB, RGB-D, and point cloud.
1 code implementation • 12 Oct 2023 • Haoyi Zhu, Honghui Yang, Xiaoyang Wu, Di Huang, Sha Zhang, Xianglong He, Hengshuang Zhao, Chunhua Shen, Yu Qiao, Tong He, Wanli Ouyang
In this paper, we introduce a novel universal 3D pre-training framework designed to facilitate the acquisition of efficient 3D representation, thereby establishing a pathway to 3D foundational models.
Ranked #1 on 3D Semantic Segmentation on ScanNet++ (using extra training data)
1 code implementation • 12 Oct 2023 • Honghui Yang, Sha Zhang, Di Huang, Xiaoyang Wu, Haoyi Zhu, Tong He, Shixiang Tang, Hengshuang Zhao, Qibo Qiu, Binbin Lin, Xiaofei He, Wanli Ouyang
In the context of autonomous driving, the significance of effective feature learning is widely acknowledged.
no code implementations • 2 Jul 2023 • Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, JunBo Wang, Haoyi Zhu, Cewu Lu
A key challenge in robotic manipulation in open domains is how to acquire diverse and generalizable skills for robots.
7 code implementations • 7 Nov 2022 • Hao-Shu Fang, Jiefeng Li, Hongyang Tang, Chao Xu, Haoyi Zhu, Yuliang Xiu, Yong-Lu Li, Cewu Lu
Accurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision.
1 code implementation • 11 Oct 2022 • Haoyi Zhu, Hao-Shu Fang, Cewu Lu
In this paper, we focus on a rarely discussed but important setting: can we train one model that can represent multiple scenes, with 360$^\circ $ insufficient views and RGB-D images?
1 code implementation • 17 Jun 2022 • Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, Anima Anandkumar
Autonomous agents have made great strides in specialist domains like Atari games and Go.
no code implementations • 23 Aug 2020 • Haoyi Zhu, Cheng Jie, Shaofei Jiang
Multi-person pose estimation plays an important role in many fields.