activity
20182021
most citedSupervision by Registration and Triangulation for Landmark Detection

46 citations · 48 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV20212 cited

SimPoE: Simulated Character Control for 3D Human Pose Estimation

Ye Yuan, Shih-En Wei, Tomas Simon +2

Accurate estimation of 3D human motion from monocular video requires modeling both kinematics (body motion without physical forces) and dynamics (motion with physical forces). To d…

cs.CV202146 cited

Supervision by Registration and Triangulation for Landmark Detection

Xuanyi Dong, Yi Yang, Shih-En Wei +3

We present Supervision by Registration and Triangulation (SRT), an unsupervised approach that utilizes unlabeled multi-view video to improve the accuracy and precision of landmark…

cs.CV2019

Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation

Adam W. Harley, Shih-En Wei, Jason Saragih +1

Cross-domain image-to-image translation should satisfy two requirements: (1) preserve the information that is common to both domains, and (2) generate convincing images covering va…

cs.CV2018

OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Zhe Cao, Gines Hidalgo, Tomas Simon +2

Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime approa…

cs.CV2018

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

Xuanyi Dong, Shoou-I Yu, Xinshuo Weng +3

In this paper, we present supervision-by-registration, an unsupervised approach to improve the precision of facial landmark detectors on both images and video. Our key observation…