Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vasileios Choutas"'
Autor:
Vasileios Choutas, Lea Muller, Chun-Hao P. Huang, Siyu Tang, Dimitrios Tzionas, Michael J. Black
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022)
While methods that regress 3D human meshes from images have progressed rapidly, the estimated body shapes often do not capture the true human shape. This is problematic since, for many applications, accurate body shape is as important as pose. The ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c816cc7e8e8d0d48c5366cceb8c4d8b6
Publikováno v:
Computer Vision – ECCV 2022
Lecture Notes in Computer Science
Lecture Notes in Computer Science ISBN: 9783031200670
Lecture Notes in Computer Science
Lecture Notes in Computer Science ISBN: 9783031200670
Fitting parametric models of human bodies, hands or faces to sparse input signals in an accurate, robust, and fast manner has the promise of significantly improving immersion in AR and VR scenarios. A common first step in systems that tackle these pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33aa0f1fa310282e1cc6145570caf004
http://arxiv.org/abs/2111.14824
http://arxiv.org/abs/2111.14824
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586065
ECCV (10)
Computer Vision-ECCV 2020
Lecture Notes in Computer Science
ECCV (10)
Computer Vision-ECCV 2020
Lecture Notes in Computer Science
To understand how people look, interact, or perform tasks, we need to quickly and accurately capture their 3D body, face, and hands together from an RGB image. Most existing methods focus only on parts of the body. A few recent approaches reconstruct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2c6b365257f70ec1233b1ce5086d74d
Publikováno v:
ICCV
To understand and analyze human behavior, we need to capture humans moving in, and interacting with, the world. Most existing methods perform 3D human pose estimation without explicitly considering the scene. We observe however that the world constra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87be15fb715cc6cc743ed181eebff6f1
http://arxiv.org/abs/1908.06963
http://arxiv.org/abs/1908.06963
Autor:
Vasileios Choutas, Nima Ghorbani, Michael J. Black, Timo Bolkart, Ahmed A. A. Osman, Georgios Pavlakos, Dimitrios Tzionas
Publikováno v:
CVPR
To facilitate the analysis of human actions, interactions and emotions, we compute a 3D model of human body pose, hand pose, and facial expression from a single monocular image. To achieve this, we use thousands of 3D scans to train a new, unified, 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a5b744588b96f9882cdcc1760d17b8f
Publikováno v:
CVPR 2018-IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2018-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2018, Salt Lake City, United States. pp.7024-7033, ⟨10.1109/CVPR.2018.00734⟩
CVPR
CVPR 2018-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2018, Salt Lake City, United States. pp.7024-7033, ⟨10.1109/CVPR.2018.00734⟩
CVPR
International audience; Most state-of-the-art methods for action recognition rely on a two-stream architecture that processes appearance and motion independently. In this paper, we claim that considering them jointly offers rich information for actio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::166b2eef35f9bb19a87c618eb029ab74
https://inria.hal.science/hal-01764222/document
https://inria.hal.science/hal-01764222/document