no code implementations • 24 Feb 2023 • Chao Hu, Ruishi Yu, Binqi Zeng, Yu Zhan, Ying Fu, Quan Zhang, Rongkai Liu, Heyuan Shi
Hypergraph neural networks (HGNN) have shown superior performance in various deep learning tasks, leveraging the high-order representation ability to formulate complex correlations among data by connecting two or more nodes through hyperedge modeling.
1 code implementation • CVPR 2022 • Yu Zhan, Fenghai Li, Renliang Weng, Wongun Choi
Accurate and generalizable absolute 3D human pose estimation from monocular 2D pose input is an ill-posed problem.
Ranked #1 on Monocular 3D Human Pose Estimation on Human3.6M (Use Video Sequence metric)
1 code implementation • 10 Jun 2018 • Yu Zhan, Wan-Lei Zhao
In addition, the proposed enhancement on the network structure also shows superior performance on the instance segmentation task.