Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Cewu Lu"'
Publikováno v:
IET Computer Vision, Vol 18, Iss 7, Pp 1057-1067 (2024)
Abstract The authors study the problem of reconstructing detailed 3D human surfaces in various poses and clothing from images. The parametric human body allows accurate 3D clothed human reconstruction. However, the offset of large and loose clothing
Externí odkaz:
https://doaj.org/article/5bc38c9988a84aa1a0cfd0ae92bae57c
Autor:
Jimin Xu, Nuanxin Hong, Zhening Xu, Zhou Zhao, Chao Wu, Kun Kuang, Jiaping Wang, Mingjie Zhu, Jingren Zhou, Kui Ren, Xiaohu Yang, Cewu Lu, Jian Pei, Harry Shum
Publikováno v:
Engineering, Vol 25, Iss , Pp 66-76 (2023)
In recent years, data has become one of the most important resources in the digital economy. Unlike traditional resources, the digital nature of data makes it difficult to value and contract. Therefore, establishing an efficient and standard data-tra
Externí odkaz:
https://doaj.org/article/14c919f7f5344f47935e3d27fa02a3d5
Autor:
Zexin Chen, Ruihan Zhang, Hao-Shu Fang, Yu E. Zhang, Aneesh Bal, Haowen Zhou, Rachel R. Rock, Nancy Padilla-Coreano, Laurel R. Keyes, Haoyi Zhu, Yong-Lu Li, Takaki Komiyama, Kay M. Tye, Cewu Lu
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 17 (2023)
Computer vision has emerged as a powerful tool to elevate behavioral research. This protocol describes a computer vision machine learning pipeline called AlphaTracker, which has minimal hardware requirements and produces reliable tracking of multiple
Externí odkaz:
https://doaj.org/article/46ba63e31e9349eb9219b04121a340ea
Autor:
Cewu Lu, Shiquan Wang
Publikováno v:
Engineering, Vol 6, Iss 3, Pp 221-226 (2020)
Externí odkaz:
https://doaj.org/article/3d3f1eddb9784acd87ca0cd1ce11faba
Autor:
Hao-Shu Fang, Jiefeng Li, Hongyang Tang, Chao Xu, Haoyi Zhu, Yuliang Xiu, Yong-Lu Li, Cewu Lu
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:7157-7173
Accurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision. To capture the subtle actions of humans for complex behavior analysis, whole-body pose estimation including the face, body, hand a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1a294294fb25bec1370dc3588902589
https://doi.org/10.1109/tpami.2022.3222784
https://doi.org/10.1109/tpami.2022.3222784
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:2298-2306
Data augmentation is an efficient way to elevate 3D object detection performance. In this paper, we propose a simple but effective online crop-and-paste data augmentation pipeline for structured 3D point cloud scenes, named CorrelaBoost. Observing th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afd33fa392908756199bd418c881dd5e
https://doi.org/10.1609/aaai.v36i2.20128
https://doi.org/10.1609/aaai.v36i2.20128
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:2044-2052
We study the unsupervised representation learning for the semantic segmentation task. Different from previous works that aim at providing unsupervised pre-trained backbones for segmentation models which need further supervised fine-tune, here, we foc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d3f245e754021be4655adc51f6b3a22
https://doi.org/10.1609/aaai.v36i2.20100
https://doi.org/10.1609/aaai.v36i2.20100
Publikováno v:
IEEE Robotics and Automation Letters. 7:842-849
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98bba486542bd5c1b199848d65e3f7d0
https://doi.org/10.1109/lra.2021.3133862
https://doi.org/10.1109/lra.2021.3133862
Publikováno v:
IEEE Transactions on Image Processing. 31:1072-1083
Human life is populated with articulated objects. Current Category-level Articulation Pose Estimation (CAPE) methods are studied under the single-instance setting with a fixed kinematic structure for each category. Considering these limitations, we a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::247a79795ec38aed7f07acb5b8f8c80d
https://doi.org/10.1109/tip.2021.3138644
https://doi.org/10.1109/tip.2021.3138644
Publikováno v:
IEEE Signal Processing Letters. 29:712-716
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2211a5f4e56f2e5a325dc46453d4bc6d
https://doi.org/10.1109/lsp.2021.3134136
https://doi.org/10.1109/lsp.2021.3134136