T
Tomas Simon
Researcher at Facebook
Publications - 60
Citations - 16890
Tomas Simon is an academic researcher from Facebook. The author has contributed to research in topics: Rendering (computer graphics) & Computer science. The author has an hindex of 25, co-authored 52 publications receiving 10780 citations. Previous affiliations of Tomas Simon include Carnegie Mellon University.
Papers
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Proceedings ArticleDOI
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
TL;DR: Part Affinity Fields (PAFs) as discussed by the authors uses a nonparametric representation to learn to associate body parts with individuals in the image and achieves state-of-the-art performance on the MPII Multi-Person benchmark.
Posted Content
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
TL;DR: This work presents an approach to efficiently detect the 2D pose of multiple people in an image using a nonparametric representation, which it refers to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image.
Journal ArticleDOI
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields
TL;DR: OpenPose as mentioned in this paper uses Part Affinity Fields (PAFs) to learn to associate body parts with individuals in the image, which achieves high accuracy and real-time performance.
Posted Content
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
TL;DR: OpenPose is released, the first open-source realtime system for multi-person 2D pose detection, including body, foot, hand, and facial keypoints, and the first combined body and foot keypoint detector, based on an internal annotated foot dataset.
Proceedings ArticleDOI
Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
TL;DR: In this paper, a multi-camera system is used to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand.