no code implementations • 25 Mar 2024 • Zicong Fan, Takehiko Ohkawa, Linlin Yang, Nie Lin, Zhishan Zhou, Shihao Zhou, Jiajun Liang, Zhong Gao, Xuanyang Zhang, Xue Zhang, Fei Li, Liu Zheng, Feng Lu, Karim Abou Zeid, Bastian Leibe, Jeongwan On, Seungryul Baek, Aditya Prakash, Saurabh Gupta, Kun He, Yoichi Sato, Otmar Hilliges, Hyung Jin Chang, Angela Yao
We interact with the world with our hands and see it through our own (egocentric) perspective.
no code implementations • 7 Oct 2023 • Zhishan Zhou, Zhi Lv, Shihao Zhou, Minqiang Zou, Tong Wu, Mochen Yu, Yao Tang, Jiajun Liang
This report introduce our work on Egocentric 3D Hand Pose Estimation workshop.
1 code implementation • CVPR 2022 • Lingfeng Yang, Xiang Li, RenJie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Yang
Therefore, it is helpful to leverage additional information, e. g., the locations and dates for data shooting, which can be easily accessible but rarely exploited.
no code implementations • 27 Aug 2021 • Shihao Zhou, Mengxi Jiang, Shanshan Cai, Yunqi Lei
Previous vertex-level and parameter regression approaches reconstruct 3D human shape based on a pre-defined adjacency matrix to encode positive relations between nodes.
Ranked #61 on 3D Human Pose Estimation on MPI-INF-3DHP
no code implementations • Asian Conference on Computer Vision Workshops 2020 • Shihao Zhou, Mengxi Jiang, Qicong Wang, Yunqi Lei
Then, to recover the 3D pose from these 2D body parts, we recombine a 3D pose by using 3D body parts that are split from the 3D pose candidates.