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20162022
most citedOpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

675 citations · 793 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2022★ 1 cited

Drivable Volumetric Avatars using Texel-Aligned Features

Edoardo Remelli, Timur Bagautdinov, Shunsuke Saito +8

Photorealistic telepresence requires both high-fidelity body modeling and faithful driving to enable dynamically synthesized appearance that is indistinguishable from reality. In t…

cs.CV2020

Reconstructing Hand-Object Interactions in the Wild

Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa +1

In this work we explore reconstructing hand-object interactions in the wild. The core challenge of this problem is the lack of appropriate 3D labeled data. To overcome this issue,…

cs.CV2020★ 8 cited

Long-term Human Motion Prediction with Scene Context

Zhe Cao, Hang Gao, Karttikeya Mangalam +3

Human movement is goal-directed and influenced by the spatial layout of the objects in the scene. To plan future human motion, it is crucial to perceive the environment -- imagine…

cs.CV2019★ 7 cited

Learning Independent Object Motion from Unlabelled Stereoscopic Videos

Zhe Cao, Abhishek Kar, Christian Haene +1

We present a system for learning motion of independently moving objects from stereo videos. The only human annotation used in our system are 2D object bounding boxes which introduc…

cs.CV2018★ 675 cited

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.CV2016★ 100 cited

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

Zhe Cao, Tomas Simon, Shih-En Wei +1

We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as Part Affinity Fields…