219 citations · 382 across the 6 of their papers we have counts for
6 papers
Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images
Guijin Wang, Cairong Zhang, Xinghao Chen +3
In human-computer interaction, it is important to accurately estimate the hand pose especially fingertips. However, traditional approaches for fingertip localization mainly rely on…
Two-Stream Binocular Network: Accurate Near Field Finger Detection Based On Binocular Images
Yi Wei, Guijin Wang, Cairong Zhang +3
Fingertip detection plays an important role in human computer interaction. Previous works transform binocular images into depth images. Then depth-based hand pose estimation method…
Interactive Hand Pose Estimation: Boosting accuracy in localizing extended finger joints
Cairong Zhang, Guijin Wang, Hengkai Guo +3
Accurate 3D hand pose estimation plays an important role in Human Machine Interaction (HMI). In the reality of HMI, joints in fingers stretching out, especially corresponding finge…
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Xinghao Chen, Guijin Wang, Hengkai Guo +1
Hand pose estimation from a single depth image is an essential topic in computer vision and human computer interaction. Despite recent advancements in this area promoted by convolu…
Towards Good Practices for Deep 3D Hand Pose Estimation
Hengkai Guo, Guijin Wang, Xinghao Chen +1
3D hand pose estimation from single depth image is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophisti…
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation
Hengkai Guo, Guijin Wang, Xinghao Chen +3
Hand pose estimation from monocular depth images is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophist…