Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Muhammed Kocabas"'
Publikováno v:
2021 International Conference on 3D Vision (3DV 2021)
2021 International Conference on 3D Vision (3DV)
2021 International Conference on 3D Vision (3DV)
In natural conversation and interaction, our hands often overlap or are in contact with each other. Due to the homogeneous appearance of hands, this makes estimating the 3D pose of interacting hands from images difficult. In this paper we demonstrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5111d07592b381d3a13d031c516e059
http://arxiv.org/abs/2107.00434
http://arxiv.org/abs/2107.00434
Autor:
Muhammed Kocabas, Chun-Hao P Huang, Joachim Tesch, Lea Muller, Otmar Hilliges, Michael J. Black
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV 2021)
Due to the lack of camera parameter information for in-the-wild images, existing 3D human pose and shape (HPS) estimation methods make several simplifying assumptions: weak-perspective projection, large constant focal length, and zero camera rotation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e8eb6d2e5d13762d375162534bb4224
https://hdl.handle.net/21.11116/0000-000B-961E-B
https://hdl.handle.net/21.11116/0000-000B-961E-B
Autor:
Mustafa Can, Melia Karakose, Mustafa Kulaksizoglu, Feridun Karakurt, İlker Çordan, Muhammed Kocabas
Publikováno v:
Case Reports in Endocrinology, Vol 2019 (2019)
Case Reports in Endocrinology
Case Reports in Endocrinology
HDR (Hypoparathyroidism, Deafness, and Renal Dysplasia) syndrome is an autosomal dominant disorder characterized by the triad of hypoparathyroidism, sensorineural deafness, and renal disease. Approximately 65% of patients with HDR syndrome have all t
Publikováno v:
CVPR
Training accurate 3D human pose estimators requires large amount of 3D ground-truth data which is costly to collect. Various weakly or self supervised pose estimation methods have been proposed due to lack of 3D data. Nevertheless, these methods, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfc468b288d96bc9324a8c2df21c0e4b
Publikováno v:
CVPR
Human motion is fundamental to understanding behavior. Despite progress on single-image 3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce accurate and natural motion sequences due to a lack of ground-truth 3D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0760c5eee4dcddabe2dd5eb46ad3e967
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012519
ECCV (11)
ECCV (11)
In this paper, we present MultiPoseNet, a novel bottom-up multi-person pose estimation architecture that combines a multi-task model with a novel assignment method. MultiPoseNet can jointly handle person detection, person segmentation and pose estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e60f5d40e0e36d0ab5e94e01b08c95d
https://doi.org/10.1007/978-3-030-01252-6_26
https://doi.org/10.1007/978-3-030-01252-6_26