Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Seungryul Baek"'
Publikováno v:
IEEE Access, Vol 10, Pp 67541-67550 (2022)
Skeleton-based human action recognition has attracted significant interest due to its simplicity and good accuracy. Diverse end-to-end trainable frameworks based on skeletal representation have been proposed so far to map the representation to human
Externí odkaz:
https://doaj.org/article/3c4a0be0bd0c473a830e7833810c8b66
Publikováno v:
Sensors, Vol 22, Iss 4, p 1464 (2022)
Group activity recognition is a prime research topic in video understanding and has many practical applications, such as crowd behavior monitoring, video surveillance, etc. To understand the multi-person/group action, the model should not only identi
Externí odkaz:
https://doaj.org/article/ab2c240bdadf48bbabe2fb8b732bdc85
Autor:
Junuk Cha, Muhammad Saqlain, Changhwa Lee, Seongyeong Lee, Seungeun Lee, Donguk Kim, Won-Hee Park, Seungryul Baek
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9724 (2021)
Three-dimensional human pose and shape estimation is an important problem in the computer vision community, with numerous applications such as augmented reality, virtual reality, human computer interaction, and so on. However, training accurate 3D hu
Externí odkaz:
https://doaj.org/article/babfee01e8e045a49992e412e184b0ec
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200649
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8549a22ebe42d753c6d92a836c8e4be1
https://doi.org/10.1007/978-3-031-20065-6_38
https://doi.org/10.1007/978-3-031-20065-6_38
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Publikováno v:
CVPR
Despite recent successes in hand pose estimation, there yet remain challenges on RGB-based 3D hand pose estimation (HPE) under hand-object interaction (HOI) scenarios where severe occlusions and cluttered backgrounds exhibit. Recent RGB HOI benchmark
Autor:
Shreyas Hampali, Fu Xiong, Shipeng Xie, Zdenek Krnoul, Weiguo Zhou, Sijia Mei, Seungryul Baek, Zhaohui Zhang, Haifeng Sun, Guillermo Garcia-Hernando, Yang Xiao, Dongheui Lee, Angela Yao, Umar Iqbal, Mahdi Rad, Marek Hrúz, Adrian Spurr, Qingfu Wan, Zhiguo Cao, Junsong Yuan, Vincent Lepetit, Pavlo Molchanov, Romain Brégier, Pengfei Ren, Yunhui Liu, Shile Li, Philippe Weinzaepfel, Linlin Yang, Anil Armagan, Weiting Huang, Grégory Rogez, Boshen Zhang, Tae-Kyun Kim, Mingxiu Chen, Jakub Kanis
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
We study how well different types of approaches generalise in the task of 3D hand pose estimation under single hand scenarios and hand-object interaction. We show that the accuracy of state-of-the-art methods can drop, and that they fail mostly on po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::334571a0b2fa3856d677209cb23e6322
Autor:
Seungeun Lee, Dong Uk Kim, Won-Hee Park, Seongyeong Lee, Muhammad Saqlain, Changhwa Lee, Junuk Cha, Seungryul Baek
Publikováno v:
Applied Sciences, Vol 11, Iss 9724, p 9724 (2021)
Applied Sciences
Volume 11
Issue 20
Applied Sciences
Volume 11
Issue 20
Three-dimensional human pose and shape estimation is an important problem in the computer vision community, with numerous applications such as augmented reality, virtual reality, human computer interaction, and so on. However, training accurate 3D hu
Publikováno v:
CVPR
Estimating 3D hand meshes from single RGB images is challenging, due to intrinsic 2D-3D mapping ambiguities and limited training data. We adopt a compact parametric 3D hand model that represents deformable and articulated hand meshes. To achieve the