no code implementations • 3 Jun 2022 • Yuncheng Li, Zehao Xue, Yingying Wang, Liuhao Ge, Zhou Ren, Jonathan Rodriguez
This work proposes an end-to-end approach to estimate full 3D hand pose from stereo cameras.
2 code implementations • CVPR 2019 • Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan
This work addresses a novel and challenging problem of estimating the full 3D hand shape and pose from a single RGB image.
no code implementations • ECCV 2018 • Liuhao Ge, Zhou Ren, Junsong Yuan
Convolutional Neural Networks (CNNs)-based methods for 3D hand pose estimation with depth cameras usually take 2D depth images as input and directly regress holistic 3D hand pose.
no code implementations • ECCV 2018 • Yujun Cai, Liuhao Ge, Jianfei Cai, Junsong Yuan
Compared with depth-based 3D hand pose estimation, it is more challenging to infer 3D hand pose from monocular RGB images, due to substantial depth ambiguity and the difficulty of obtaining fully-annotated training data.
1 code implementation • CVPR 2018 • Liuhao Ge, Yujun Cai, Junwu Weng, Junsong Yuan
Convolutional Neural Network (CNN) has shown promising results for 3D hand pose estimation in depth images.
Ranked #7 on
Hand Pose Estimation
on HANDS 2017
1 code implementation • CVPR 2018 • Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis Argyros, Tae-Kyun Kim
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Ranked #5 on
Hand Pose Estimation
on HANDS 2017
no code implementations • CVPR 2017 • Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann
We propose a simple, yet effective approach for real-time hand pose estimation from single depth images using three-dimensional Convolutional Neural Networks (3D CNNs).
no code implementations • CVPR 2016 • Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann
Articulated hand pose estimation plays an important role in human-computer interaction.