activity
20162020
most citedModel-based Deep Hand Pose Estimation

83 citations · 92 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2020

NAPA: Neural Art Human Pose Amplifier

Qingfu Wan, Oliver Lu

This is the project report for CSCI-GA.2271-001. We target human pose estimation in artistic images. For this goal, we design an end-to-end system that uses neural style transfer f…

cs.CV2020

Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek +32

We study how well different types of approaches generalise in the task of 3D hand pose estimation under single hand scenarios and hand-object interaction. We show that the accuracy…

cs.CV20193 cited

Patch-based 3D Human Pose Refinement

Qingfu Wan, Weichao Qiu, Alan L. Yuille

State-of-the-art 3D human pose estimation approaches typically estimate pose from the entire RGB image in a single forward run. In this paper, we develop a post-processing step to…

cs.CV20176 cited

DeepSkeleton: Skeleton Map for 3D Human Pose Regression

Qingfu Wan, Wei Zhang, Xiangyang Xue

Despite recent success on 2D human pose estimation, 3D human pose estimation still remains an open problem. A key challenge is the ill-posed depth ambiguity nature. This paper pres…

cs.CV201683 cited

Model-based Deep Hand Pose Estimation

Xingyi Zhou, Qingfu Wan, Wei Zhang +2

Previous learning based hand pose estimation methods does not fully exploit the prior information in hand model geometry. Instead, they usually rely a separate model fitting step t…