Zobrazeno 1 - 9
of 9
pro vyhledávání: '"William Thong"'
Autor:
Wassim Hamidouche, Byungyeon Kang, Shuwei Shi, Yujiu Yang, Junlin Li, Pengfei Sun, Jose Costa Pereira, Kele Xu, Hiroaki Akutsu, Hai Wang, Koki Tsubota, Yiting Liao, William Thong, Hengliang Luo, Longtao Feng, Jingyu Guo, Yuqing Hou, Yu Qiao, Sung-Jun Yoon, Jimmy Ren, Tao Zhang, Yang Li, Bin Yi, Yifan Chen, Jinjin Gu, Ali Royat, Steven McDonagh, Shuhang Gu, Junwoo Lee, Kiyoharu Aizawa, Lehan Yang, Sewoong Ahn, Weihao Xia, Qingyan Bai, Haiyang Guo, Zirui Wang, Mingdeng Cao, Qing Zhang, Jiahao Wang, Wenming Yang, Sid Ahmed Fezza, Haoming Cai, Dounia Hammou, Ales Leonardis, Radu Timofte, Hengxing Cai, Manri Cheon, Seyed Mehdi Ayyoubzadeh, Chao Dong, Gwangjin Yoon
Publikováno v:
CVPR Workshops
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing techno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd2eb5a3a1d660da7fb6cd6f60817a6
https://doi.org/10.1109/cvprw53098.2021.00077
https://doi.org/10.1109/cvprw53098.2021.00077
Publikováno v:
International Journal of Computer Vision, 129(6). Springer Netherlands
This work strives for the classification and localization of human actions in videos, without the need for any labeled video training examples. Where existing work relies on transferring global attribute or object information from seen to unseen acti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080ce4a3ac207b81b5bb59f21bd0bf4e
http://arxiv.org/abs/2104.04715
http://arxiv.org/abs/2104.04715
Publikováno v:
Computer Vision and Image Understanding, 200:103045. Academic Press Inc.
This paper addresses cross-domain visual search, where visual queries retrieve category samples from a different domain. For example, we may want to sketch an airplane and retrieve photographs of airplanes. Despite considerable progress, the search o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df39f06fd29027cf5f4f0f46b72e5bcf
https://dare.uva.nl/personal/pure/en/publications/open-crossdomain-visual-search(f7059eb5-1d5c-4072-a579-69f9ad9d2a1e).html
https://dare.uva.nl/personal/pure/en/publications/open-crossdomain-visual-search(f7059eb5-1d5c-4072-a579-69f9ad9d2a1e).html
Publikováno v:
AAAI
ISSUE=33;TITLE=33rd AAAI Conference on Artificial Intelligence, AAAI 2019
Thirty-Third AAAI Conference on Artificial Intelligence, Thirty-First Conference on Innovative Applications of Artificial Intelligence, The Ninth Symposium on Educational Advances in Artificial Intelligence: AAAI-19, IAAI-19, EAAI-20 : January 27-February 1, 2019, Hilton Hawaiian Village, Honolulu, Hawaii, USA, 8901-8908
STARTPAGE=8901;ENDPAGE=8908;TITLE=Thirty-Third AAAI Conference on Artificial Intelligence, Thirty-First Conference on Innovative Applications of Artificial Intelligence, The Ninth Symposium on Educational Advances in Artificial Intelligence
ISSUE=33;TITLE=33rd AAAI Conference on Artificial Intelligence, AAAI 2019
Thirty-Third AAAI Conference on Artificial Intelligence, Thirty-First Conference on Innovative Applications of Artificial Intelligence, The Ninth Symposium on Educational Advances in Artificial Intelligence: AAAI-19, IAAI-19, EAAI-20 : January 27-February 1, 2019, Hilton Hawaiian Village, Honolulu, Hawaii, USA, 8901-8908
STARTPAGE=8901;ENDPAGE=8908;TITLE=Thirty-Third AAAI Conference on Artificial Intelligence, Thirty-First Conference on Innovative Applications of Artificial Intelligence, The Ninth Symposium on Educational Advances in Artificial Intelligence
The visual world we sense, interpret and interact everyday is a complex composition of interleaved physical entities. Therefore, it is a very challenging task to generate vivid scenes of similar complexity using computers. In this work, we present a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b61d6cbbe600c900e51a36668934d33
http://arxiv.org/abs/1902.00671
http://arxiv.org/abs/1902.00671
Autor:
Arthur Câmara, William Thong, Pascal Mettes, Emiel van Miltenburg, Jiaojiao Zhao, Shuo Chen, Maurits van der Goes, Daan Odijk, Tanja Crijns, Sarah Ibrahimi, Yunlu Chen, Thomas Mensink, Devanshu Arya
Publikováno v:
MM 2019-Proceedings of the 27th ACM International Conference on Multimedia
Proceedings of the 27th ACM International Conference on Multimedia, 2196-2198
STARTPAGE=2196;ENDPAGE=2198;TITLE=Proceedings of the 27th ACM International Conference on Multimedia
ACM Multimedia
MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France, 2196-2198
STARTPAGE=2196;ENDPAGE=2198;TITLE=MM'19
Proceedings of the 27th ACM International Conference on Multimedia, 2196-2198
STARTPAGE=2196;ENDPAGE=2198;TITLE=Proceedings of the 27th ACM International Conference on Multimedia
ACM Multimedia
MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France, 2196-2198
STARTPAGE=2196;ENDPAGE=2198;TITLE=MM'19
This demo presents a system for journalists to explore video footage for broadcasts. Daily news broadcasts contain multiple news items that consist of many video shots and searching for relevant footage is a labor intensive task. Without the need for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c0bfd7ac069933c8779e543e3d5cb3c
https://doi.org/10.1145/3343031.3350597
https://doi.org/10.1145/3343031.3350597
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 6:277-282
Organ segmentation in medical imagery can be used to guide patient diagnosis, treatment and follow ups. In this paper, we present a fully automatic framework for kidney segmentation with convolutional networks (ConvNets) in contrast-enhanced computer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1a0217b94c38e4ebf6fd73d95b5f347
https://doi.org/10.1080/21681163.2016.1148636
https://doi.org/10.1080/21681163.2016.1148636
Publikováno v:
Recent Advances in Computational Methods and Clinical Applications for Spine Imaging ISBN: 9783319141473
Current classification systems for adolescent idiopathic scoliosis lack information on how the spine is deformed in three dimensions (3D), which can mislead further treatment recommendations. We propose an approach to address this issue by a deep lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abec0e7b7184d5ff36abd06bdf0ef68f
https://doi.org/10.1007/978-3-319-14148-0_2
https://doi.org/10.1007/978-3-319-14148-0_2
Publikováno v:
International Journal of Biomedical Imaging
International Journal of Biomedical Imaging, Vol 2014 (2014)
International Journal of Biomedical Imaging, Vol 2014 (2014)
Context. MRI of the spinal cord provides a variety of biomarkers sensitive to white matter integrity and neuronal function. Current processing methods are based on manual labeling of vertebral levels, which is time consuming and prone to user bias. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86a4a5d4e853cc7a6d52097f08b6c94e
https://pubmed.ncbi.nlm.nih.gov/25132843
https://pubmed.ncbi.nlm.nih.gov/25132843
Publikováno v:
Medical Imaging 2013
SPIE Proceedings Medical Imaging 2013: Computer-Aided Diagnosis
Medical Imaging 2013: Computer-Aided Diagnosis
Medical Imaging 2013: Computer-Aided Diagnosis, Feb 2013, Orlando, United States. pp.867033, ⟨10.1117/12.2007920⟩
Medical Imaging: Computer-Aided Diagnosis
Medical Imaging 2013: Computer-Aided Diagnosis, Feb 2013, Orlando, United States. 8670, pp.867033, 2013, 〈10.1117/12.2007920〉
SPIE Proceedings Medical Imaging 2013: Computer-Aided Diagnosis
Medical Imaging 2013: Computer-Aided Diagnosis
Medical Imaging 2013: Computer-Aided Diagnosis, Feb 2013, Orlando, United States. pp.867033, ⟨10.1117/12.2007920⟩
Medical Imaging: Computer-Aided Diagnosis
Medical Imaging 2013: Computer-Aided Diagnosis, Feb 2013, Orlando, United States. 8670, pp.867033, 2013, 〈10.1117/12.2007920〉
15 pages; International audience; This paper addresses the study of semi-quantitative assessment of pulmonary perfusion acquired from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in a study population mainly composed of children wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6c8909dd259b37c3c113a0006359f1f
https://hal.archives-ouvertes.fr/hal-00940858
https://hal.archives-ouvertes.fr/hal-00940858