1 code implementation • NeurIPS 2023 • Xiaoxuan Ma, Stephan P. Kaufhold, Jiajun Su, Wentao Zhu, Jack Terwilliger, Andres Meza, Yixin Zhu, Federico Rossano, Yizhou Wang
ChimpACT is both comprehensive and challenging, consisting of 163 videos with a cumulative 160, 500 frames, each richly annotated with detection, identification, pose estimation, and fine-grained spatiotemporal behavior labels.
2 code implementations • CVPR 2023 • Xiaoxuan Ma, Jiajun Su, Yuan Xu, Wentao Zhu, Chunyu Wang, Yizhou Wang
Monocular 3D human mesh estimation faces challenges due to depth ambiguity and the complexity of mapping images to complex parameter spaces.
Ranked #1 on 3D Human Pose Estimation on Surreal
1 code implementation • 20 Jul 2022 • Jiajun Su, Chunyu Wang, Xiaoxuan Ma, Wenjun Zeng, Yizhou Wang
While monocular 3D pose estimation seems to have achieved very accurate results on the public datasets, their generalization ability is largely overlooked.
3D Multi-Person Pose Estimation (absolute) 3D Pose Estimation
1 code implementation • CVPR 2021 • Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Hai Ci, Yizhou Wang
By comparing the two methods, we found that the end-to-end training scheme in GNN and the limb length constraints in PSM are two complementary factors to improve results.
Ranked #60 on 3D Human Pose Estimation on MPI-INF-3DHP (AUC metric)
3 code implementations • CVPR 2018 • Rui Qian, Robby T. Tan, Wenhan Yang, Jiajun Su, Jiaying Liu
This injection of visual attention to both generative and discriminative networks is the main contribution of this paper.