no code implementations • 17 Apr 2024 • Linfang Zheng, Tze Ho Elden Tse, Chen Wang, Yinghan Sun, Hua Chen, Ales Leonardis, Wei zhang
Object pose refinement is essential for robust object pose estimation.
no code implementations • ICCV 2023 • Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen, Danhang Tang, Thabo Beeler, Mingsong Dou, yinda zhang, Sasa Petrovic, Hyung Jin Chang, Jonathan Taylor, Bardia Doosti
We propose a novel transformer-based framework that reconstructs two high fidelity hands from multi-view RGB images.
no code implementations • ICCV 2023 • Runyang Feng, Yixing Gao, Tze Ho Elden Tse, Xueqing Ma, Hyung Jin Chang
However, extending such models to multi-frame human pose estimation is non-trivial due to the presence of the additional temporal dimension in videos.
no code implementations • CVPR 2023 • Runyang Feng, Yixing Gao, Xueqing Ma, Tze Ho Elden Tse, Hyung Jin Chang
On the other hand, the temporal difference has the ability to encode representative motion information which can potentially be valuable for pose estimation but has not been fully exploited.
no code implementations • 1 Aug 2022 • Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang
In this paper, we propose a novel semi-supervised framework that allows us to learn contact from monocular images.
no code implementations • CVPR 2022 • Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang
Estimating the pose and shape of hands and objects under interaction finds numerous applications including augmented and virtual reality.
Ranked #6 on hand-object pose on DexYCB