Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Tak-Wai Hui"'
Publikováno v:
CVPR
We study the problem of distilling knowledge from a large deep teacher network to a much smaller student network for the task of road marking segmentation. In this work, we explore a novel knowledge distillation (KD) approach that can transfer 'knowl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2dc4d048f5cc5c1e2c328cab94daff2
Autor:
Tak-Wai Hui, Chen Change Loy
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585648
ECCV (20)
ECCV (20)
Deep learning approaches have achieved great success in addressing the problem of optical flow estimation. The keys to success lie in the use of cost volume and coarse-to-fine flow inference. However, the matching problem becomes ill-posed when parti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4be52d1411539b9b8d8a0a6996b5eeaa
https://doi.org/10.1007/978-3-030-58565-5_11
https://doi.org/10.1007/978-3-030-58565-5_11
Autor:
Tak-Wai Hui1 twhui@eee.hku.hk, Grantham Pang1 gpang@eee.hku.uk
Publikováno v:
International Journal of Advanced Manufacturing Technology. Sep2009, Vol. 42 Issue 7/8, p725-734. 10p. 1 Diagram, 8 Charts, 5 Graphs.
Autor:
Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Shijia Hu, Yijie Bei, Zheng Hui, Xiao Jiang, Yanan Gu, Jie Liu, Yifan Wang, Federico Perazzi, Brian McWilliams, Alexander Sorkine-Hornung, Olga Sorkine-Hornung, Christopher Schroers, Jiahui Yu, Yuchen Fan, Jianchao Yang, Ning Xu, Zhaowen Wang, Xinchao Wang, Thomas S. Huang, Xintao Wang, Ke Yu, Tak-Wai Hui, Chao Dong, Liang Lin, Chen Change Loy, Dongwon Park, Kwanyoung Kim, Se Young Chun, Kai Zhang, Pengjv Liu, Wangmeng Zuo, Shi Guo, Jiye Liu, Jinchang Xu, Yijiao Liu, Fengye Xiong, Yuan Dong, Hongliang Bai, Alexandru Damian, Nikhil Ravi, Sachit Menon, Cynthia Rudin, Junghoon Seo, Taegyun Jeon, Jamyoung Koo, Seunghyun Jeon, Soo Ye Kim, Jae-Seok Choi, Sehwan Ki, Soomin Seo, Hyeonjun Sim, Saehun Kim, Munchurl Kim, Rong Chen, Kun Zeng, Jinkang Guo, Yanyun Qu, Cuihua Li, Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn, Yuan Yuan, Jiawei Zhang, Jiahao Pang, Xiangyu Xu, Yan Zhao, Wei Deng, Sibt Ul Hussain, Muneeb Aadil, Rafia Rahim, Xiaowang Cai, Fang Huang, Yueshu Xu, Pablo Navarrete Michelini, Dan Zhu, Hanwen Liu, Jun-Hyuk Kim, Jong-Seok Lee, Yiwen Huang, Ming Qiu, Liting Jing, Jiehang Zeng, Ying Wang, Manoj Sharma, Rudrabha Mukhopadhyay, Avinash Upadhyay, Sriharsha Koundinya, Ankit Shukla, Santanu Chaudhury, Zhe Zhang, Yu Hen Hu, Lingzhi Fu
Publikováno v:
CVPR Workshops
This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution image) with focus on proposed solutions and results. The challenge had 4 tracks. Track 1 employed the standard bicubic downsc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84c6886f489dceba6721a20afda21901
https://doi.org/10.1109/cvprw.2018.00130
https://doi.org/10.1109/cvprw.2018.00130
Publikováno v:
CVPR
FlowNet2, the state-of-the-art convolutional neural network (CNN) for optical flow estimation, requires over 160M parameters to achieve accurate flow estimation. In this paper we present an alternative network that outperforms FlowNet2 on the challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec30d1a3f635dcab999e2380f3c0fbad
http://arxiv.org/abs/1805.07036
http://arxiv.org/abs/1805.07036
Autor:
Tak-Wai Hui, Ronald Chung
Publikováno v:
Pattern Recognition. 48:422-437
Determining the spatial motion of a moving camera from a video is a classical problem in computer vision. The difficulty of this problem is that the flow pattern directly observable in the video is generally not the complete flow pattern induced by t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18cbae4cd7757b4ba0eed894646c8a6a
https://doi.org/10.1016/j.patcog.2014.08.012
https://doi.org/10.1016/j.patcog.2014.08.012
Autor:
Ronald Chung, Tak-Wai Hui
Publikováno v:
Computer Vision and Image Understanding. 117:947-964
In this paper, we explore how a wide field-of-view imaging system that consists of a number of cameras in a network arranged to approximate a spherical eye can reduce the complexity of estimating camera motion. Depth map of the imaged scene can be re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf66cc0c90aa43a7e367f2d25d1dfd80
https://doi.org/10.1016/j.cviu.2013.04.007
https://doi.org/10.1016/j.cviu.2013.04.007
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464862
ECCV (3)
ECCV (3)
Depth boundaries often lose sharpness when upsampling from low-resolution (LR) depth maps especially at large upscaling factors. We present a new method to address the problem of depth map super resolution in which a high-resolution (HR) depth map is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::724ebfd9eb33c46c153aed82b704858e
https://doi.org/10.1007/978-3-319-46487-9_22
https://doi.org/10.1007/978-3-319-46487-9_22
Autor:
Grantham K. H. Pang, Tak-Wai Hui
Publikováno v:
IEEE Transactions on Electronics Packaging Manufacturing. 31:306-315
A two-step phase shift profilometry method (2-step PSP) with prefiltering and postfiltering stages is proposed to reconstruct the 3-D profile of solder paste. Two sinusoidal patterns which are pi-out-of-phase are used in the 3-D reconstruction. The n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfc9029f0a52a4906ad0a8fe7e8e9389
https://doi.org/10.1109/tepm.2008.2004573
https://doi.org/10.1109/tepm.2008.2004573