Introduction to Ghand A Graph Convolution Network For 3dhand Pose Estimation
Let's dive into the details surrounding Ghand A Graph Convolution Network For 3dhand Pose Estimation. CGI2020_Session HUMAN COMPUTER INTERACTION /
Ghand A Graph Convolution Network For 3dhand Pose Estimation Comprehensive Overview
GLA-GCN: Global-local Adaptive Authors: Rim Slama (LINEACT laboratory)*; Wael Rabah (LINEACT Laboratory); Hazem Wannous (IMT Nord Europe) Description: Authors: Bardia Doosti, Shujon Naha, Majid Mirbagheri, David J. Crandall Description:
Citation: A. Rezazadeh, S. Dikhale, S. Iba and N. Jamali, "Hierarchical
Summary & Highlights for Ghand A Graph Convolution Network For 3dhand Pose Estimation
- Weakly Supervised 3D Human
- Published on ACM MM 2021.
- We propose a new hybrid architecture that consists of a deep
- Authors: Wang, Yintong; Chen, Lili*; Li, Jiamao; Zhang, Xiaolin Description: Despite the substantial progress in
- CheckerPose: Progressive Dense Keypoint Localization for Object
That wraps up our extensive overview of Ghand A Graph Convolution Network For 3dhand Pose Estimation.
