680 citations · 2.5k across the 34 of their papers we have counts for
10 papers · 1 filter
Capture Dense: Markerless Motion Capture Meets Dense Pose Estimation
Xiu Li, Yebin Liu, Hanbyul Joo +2
We present a method to combine markerless motion capture and dense pose feature estimation into a single framework. We demonstrate that dense pose information can help for multivie…
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
Donglai Xiang, Hanbyul Joo, Yaser Sheikh
We present the first method to capture the 3D total motion of a target person from a monocular view input. Given an image or a monocular video, our method reconstructs the motion f…
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…
Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields
Yaadhav Raaj, Haroon Idrees, Gines Hidalgo +1
We present an online approach to efficiently and simultaneously detect and track the 2D pose of multiple people in a video sequence. We build upon Part Affinity Field (PAF) represe…
Recycle-GAN: Unsupervised Video Retargeting
Aayush Bansal, Shugao Ma, Deva Ramanan +1
We introduce a data-driven approach for unsupervised video retargeting that translates content from one domain to another while preserving the style native to a domain, i.e., if co…
Deep Appearance Models for Face Rendering
Stephen Lombardi, Jason Saragih, Tomas Simon +1
We introduce a deep appearance model for rendering the human face. Inspired by Active Appearance Models, we develop a data-driven rendering pipeline that learns a joint representat…
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…
Self-supervised Multi-view Person Association and Its Applications
Minh Vo, Ersin Yumer, Kalyan Sunkavalli +3
Reliable markerless motion tracking of people participating in a complex group activity from multiple moving cameras is challenging due to frequent occlusions, strong viewpoint and…
Structure from Recurrent Motion: From Rigidity to Recurrency
Xiu Li, Hongdong Li, Hanbyul Joo +2
This paper proposes a new method for Non-Rigid Structure-from-Motion (NRSfM) from a long monocular video sequence observing a non-rigid object performing recurrent and possibly rep…
Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies
Hanbyul Joo, Tomas Simon, Yaser Sheikh
We present a unified deformation model for the markerless capture of multiple scales of human movement, including facial expressions, body motion, and hand gestures. An initial mod…