Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Densen Puthussery"'
Autor:
Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa1a936dd43978a65f28dc8b2ddaa88b
https://doi.org/10.1007/978-3-031-25072-9_5
https://doi.org/10.1007/978-3-031-25072-9_5
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031314162
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db5ce4b70d1be1871e760ac3a7e6166
https://doi.org/10.1007/978-3-031-31417-9_40
https://doi.org/10.1007/978-3-031-31417-9_40
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811974731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::844d30a5e7fef0b12d11d7c0edc54a25
https://doi.org/10.1007/978-981-19-7474-8_6
https://doi.org/10.1007/978-981-19-7474-8_6
Autor:
Manri Cheon, Jechang Jeong, Bolun Zheng, Radu Timofte, Ziyao Zong, P.S. Hrishikesh, Xiaohong Liu, Byungyeon Kang, Florian Lemarchand, Sangmin Kim, Jun Chen, Dejia Xu, Gregory G. Slabaugh, Yuan Xie, Nan Nan, Ashish Sinha, Cuihua Li, Ming Hong, Jisu Kim, Xiaotong Luo, Yihao Chu, Densen Puthussery, Erwan Nogues, Hyungjoon Nam, Sung-Jun Yoon, Maxime Pelcat, Jian Yang, Sabari Nathan, Shuai Liu, Yanyun Qu, Chenghua Li, S. Mohamed Mansoor Roomi, Qingyan Sun, Jiangtao Zhang, Shanxin Yuan, Zhenyong Fu, Linhui Dai, Xi Cheng, Hyunkook Park, An Gia Vien, Xuan Zhao, Ales Leonardis, C.V. Jiji, Junwoo Lee, Chul Lee, M. Parisa Beham
Publikováno v:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, Jun 2020, Seattle, United States. pp.1882-1893, ⟨10.1109/CVPRW50498.2020.00238⟩
CVPR Workshops
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, Jun 2020, Seattle, United States. pp.1882-1893, ⟨10.1109/CVPRW50498.2020.00238⟩
CVPR Workshops
International audience; This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demoireing is a difficult task of removing moire p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d8939a7ea345ebf9f78a12023c7387e
https://hal.science/hal-03102720
https://hal.science/hal-03102720
Autor:
Seungjun Nah, Sanghyun Son, Radu Timofte, Kyoung Mu Lee, Yu Tseng, Yu-Syuan Xu, Cheng-Ming Chiang, Yi-Min Tsai, Stephan Brehm, Sebastian Scherer, Dejia Xu, Yihao Chu, Qingyan Sun, Jiaqin Jiang, Lunhao Duan, Jian Yao, Kuldeep Purpohit, Maitreya Suin, A.N. Rajagopalan, Yuichi Ito, P.S. Hrishikesh, Densen Puthussery, K.A. Akhil, C.V. Jiji, Guisik Kim, P.L. Deepa, Zhiwei Xiong, Jie Huang, Dong Liu, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Shihua Huang, Yuchen Fan, Jiahui Yu, Haichao Yu, Thomas S. Huang, Ya Zhou, Xin Li, Sen Liu, Zhibo Chen, Saikat Dutta, Sourya Dipta Das, Shivam Garg, Daniel Sprague, Bhrij Patel, Thomas Huck
Publikováno v:
CVPR Workshops
Motion blur is one of the most common degradation artifacts in dynamic scene photography. This paper reviews the NTIRE 2020 Challenge on Image and Video Deblurring. In this challenge, we present the evaluation results from 3 competition tracks as wel
Autor:
Melvin Kuriakose, Jiji Charangatt Victor, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030670696
ECCV Workshops (3)
ECCV Workshops (3)
The task of recalibrating the illumination settings in an image to a target configuration is known as relighting. Relighting techniques have potential applications in digital photography, gaming industry and in augmented reality. In this paper, we ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::071f013cf18c8ac320cf17712007e0d2
https://doi.org/10.1007/978-3-030-67070-2_31
https://doi.org/10.1007/978-3-030-67070-2_31
Autor:
Shanshan Zhao, Salah Karout, Zhiwu Huang, Xuan Xu, Kazutoshi Akita, Aryan Esfandiari, Haoyu Chen, Dan Xia, Wenhao Zhang, Shuhang Gu, Zhi Zhang, Arnau Raventos, Jinjin Gu, C. V. Jiji, Dongyang Zhang, Tongtong Zhao, Pablo Navarrete Michelini, Xin Li, Hanwei Zhu, P. S. Hrishikesh, Norimichi Ukita, Xin Xiong, Jinge Wang, Dario Fuoli, Radu Timofte, Densen Puthussery
Publikováno v:
Lecture Notes in Computer Science, 12538
Computer Vision – ECCV 2020 Workshops Glasgow, UK, August 23–28, 2020, Proceedings, Part IV
Computer Vision – ECCV 2020 Workshops ISBN: 9783030668228
ECCV Workshops (4)
Computer Vision – ECCV 2020 Workshops Glasgow, UK, August 23–28, 2020, Proceedings, Part IV
Computer Vision – ECCV 2020 Workshops ISBN: 9783030668228
ECCV Workshops (4)
Lecture Notes in Computer Science, 12538
ISSN:0302-9743
ISSN:1611-3349
Computer Vision – ECCV 2020 Workshops Glasgow, UK, August 23–28, 2020, Proceedings, Part IV
ISBN:978-3-030-66822-8
ISBN:978-3-030-66823-5
ISSN:0302-9743
ISSN:1611-3349
Computer Vision – ECCV 2020 Workshops Glasgow, UK, August 23–28, 2020, Proceedings, Part IV
ISBN:978-3-030-66822-8
ISBN:978-3-030-66823-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5505e49cae6e11cf02f8825c51759fac
https://hdl.handle.net/20.500.11850/458821
https://hdl.handle.net/20.500.11850/458821
Autor:
Nan Nan, Stavros Tsogkas, Geun-Woo Jeon, Jun-Hyuk Kim, Xiaochuan Li, Jiande Jiang, Xiaotong Luo, Lei Zhang, Jun-Ho Choi, Vineeth Bhaskara, Yuzhi Zhao, Jong-Seok Lee, Shuai Liu, Maitreya Suin, Jian Cheng, Xiaohong Liu, Xuehui Wang, Jiangtao Nie, Wenyi Wang, Siang Chen, Martin Danelljan, Jiangtao Zhang, Rushi Lan, Yawei Li, Long Chen, Yu Zhu, Allan D. Jepson, Cong Leng, Christian Micheloni, Jie Cai, Shanshan Zhao, Chenghua Li, Rao Muhammad Umer, Guangyang Wu, C. V. Jiji, Zhenbing Liu, Zibo Meng, Eric Marty, Xinbo Gao, Qiong Yan, Wenhao Wang, Wei Wei, Subin Yang, A. N. Rajagopalan, Wen Lu, Radu Timofte, Jie Liu, Long Sun, Yu Qiao, Haicheng Wang, Yanyun Qu, Yongwoo Kim, Tongtong Zhao, Alex Levinshtein, Steven Marty, Wenjie Xu, JungHeum Kang, Xiangtao Kong, Xiangyu He, Densen Puthussery, Jie Tang, Jingwen He, Kai Zhang, Lin Zha, P. S. Hrishikesh, Hengyuan Zhao, Chao Dong, Sung-Ho Bae, Zhiqiang Lang, Abdul Muqeet, Xiangzhen Kong, Jiaming Ding, Dongliang Xiong, Chiu Man Ho, Jiwon Hwang, Gangshan Wu, Liang Chen, Kuldeep Purohit
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030670696
ECCV Workshops (3)
ECCV Workshops (3)
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor \(\times \)4 based on a set of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d21d570f8d10ec09dfbf7bc40c5c9c4a
https://doi.org/10.1007/978-3-030-67070-2_1
https://doi.org/10.1007/978-3-030-67070-2_1
Autor:
Jing Liu, Yukai Shi, C. V. Jiji, Tong Yang, Mykola Mykhailych, Junyeop Lee, Gwantae Kim, Zhipeng Luo, Yandong Guo, Jiahao Wu, Liang Lin, Shengchen Zhu, Haoyu Zhong, Zhenyu Xu, Fu Li, Fuzhi Yang, JaeHyun Baek, Jong Chul Ye, Jinjia Peng, Densen Puthussery, Thomas S. Huang, Taizhang Shang, Wenhao Wu, Kai Zhang, Zhi Jin, Dongliang He, Jaihyun Park, Jeongki Min, Radu Timofte, Jungki Min, Chao Li, Kanghyu Lee, Sejong Yang, Chenming Shang, P. S. Hrishikesh, Huibing Wang, Qiuju Dai, Norimichi Ukita, Yifu Chen, Takeru Ooba, Zhijing Yang, Yuehan Yao, Jiande Jiang, Seon Joo Kim, Kazutoshi Akita, Xinbo Gao, Shuhang Gu, Xiaojun Yang, Huanrong Zhang, Kwangjin Yoon, Taegyun Jeon, Jianwei Li, Jianlong Fu, Huan Yang, Younghyun Jo, Wen Lu, Lin Zha, Byung-Hoon Kim, Bokyeung Lee, Tongtong Zhao, Shilei Wen, Ding Yukang, Yuchen Fan
Publikováno v:
CVPR Workshops
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor 16 based on a set of prior examples of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6337c2c4eebd8824122f4c78906425f
Autor:
Yihao Liu, Sumanth Hegde, Yuqian Zhou, Joshua Rego, Melvin Kuriakose, Baopu Li, Shichao Nie, Lijiang Fu, Lianping Xing, Sehoon Lim, Chengconghui Ma, Varun Sundar, P. S. Hrishikesh, Kin Wai Lau, Yiqun Li, Neil Emerton, Shuai Li, Shuting Yin, Dahai Yu, Qirui Yang, Shanshan Zhao, Kyle Tolentino, Dafan Chen, Divya Kothandaraman, Tao Ku, Lai-Man Po, Zhenhua Hu, Akashdeep Jassal, Sabari Nathan, Jigang Tang, Haoran Wang, Huaijin Chen, C. V. Jiji, Densen Puthussery, Nagat Abdalla Esiad Rahel, Shibin Ma, Timothy Large, Bingnan Hu, Michael Kwan, Nisarg Shah, Zhihong Pan, Kaushik Mitra, Yasar Abbas Ur Rehman, Tongtong Zhao, Jiarong Wang
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030682378
ECCV Workshops (5)
ECCV Workshops (5)
This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-collected database of Under-Display Camera. The challenge tracks corresp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2ac937029e7560771363d76ff7546b2
https://doi.org/10.1007/978-3-030-68238-5_26
https://doi.org/10.1007/978-3-030-68238-5_26