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ORCIDKai Zhang 0008
凯张
Person information
- unicode name: 凯张
- affiliation: ETH Zurich, Computer Vision Lab, Switzerland
- affiliation (PhD 2019): Harbin Institute of Technology, School of Computer Science and Technology, China
- affiliation (2015 - 2017): Hong Kong Polytechnic University, Department of Computing, Hong Kong
- affiliation: China Jiliang University, Department of Mathematics, Hangzhou, China
Other persons with the same name
- Kai Zhang — disambiguation page
- Kai Zhang 0001
![[0000-0002-9692-4333]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9692-4333")
— Temple University, Department of Computer and Information Sciences, Philadelphia, PA, USA (and 4 more) - Kai Zhang 0002 — Wuhan University of Science and Technology, College of Computer Science and Technology, Wuhan, China (and 1 more)
- Kai Zhang 0003 — University of North Carolina, Department of Statistics and Operations Research, Chapel Hill, NC, USA (and 2 more)
- Kai Zhang 0004 — Harbin Institute of Technology, Department of Electrical Engineering, China
- Kai Zhang 0005 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China (and 1 more)
- Kai Zhang 0006 — Fudan University, Shanghai, China (and 1 more)
- Kai Zhang 0007 — Bytedance Inc., San Diego, CA, USA (and 4 more)
- Kai Zhang 0009 — National Digital Switching System Engineering and Technological Research Center of China, Henan, China
- Kai Zhang 0010 — Xidian University, School of Electronic Engineering, National Lab of Radar Signal Processing, Xi'an, China
- Kai Zhang 0011 — Central China Normal University, National Engineering Research Center for E-Learning, China
- Kai Zhang 0012 — Tsinghua University, Graduate School at Shenzhen, Shenzhen Key Laboratory of Advanced Sensor and Integrated System, China
- Kai Zhang 0013 — Shenzhen Polytechnic, Automotive and Transportation Engineering, China
- Kai Zhang 0014 — Southwest University, College of Agronomy and Biotechnology, Beibei, China
- Kai Zhang 0015 — University of Science and Technology of Beijing, School of Automation and Electrical Engineering, China (and 1 more)
- Kai Zhang 0016 — Shanghai University of Electric Power, Department of Information Security, China (and 1 more)
- Kai Zhang 0017 — Texas A&M University, Department of Electrical and Computer Engineering, TX, USA (and 1 more)
- Kai Zhang 0018 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Kai Zhang 0019 — Shenzhen University, Shenzhen Audencia Business School, China
- Kai Zhang 0020 — Hefei University of Technology, China
- Kai Zhang 0021 — University of California, San Diego, CA, USA
- Kai Zhang 0022 — Pennsylvania State University, Department of Kinesiology, University Park, PA, USA
- Kai Zhang 0023 — National University of Defense Technology, Changsha, China
- Kai Zhang 0024 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Kai Zhang 0025 — Worcester Polytechnic Institute, Department of Electrical and Computer Engineering, MA, USA
- Kai Zhang 0026 — PLA SSF Information Engineering University, Zhengzhou, China (and 1 more)
- Kai Zhang 0027 — TUMCREATE Ltd., Electrification Suite and Test Lab, Singapore
- Kai Zhang 0028 — Stanford University, Department of Mechanical Engineering, CA, USA
- Kai Zhang 0029 — China University of Petroleum, Department of Reservoir Engineering, Qingdao, China
- Kai Zhang 0030 — Beijing Institution of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
- Kai Zhang 0031 — Northwest Minzu University, School of Mathematics and Computer Science, Lanzhou, China
- Kai Zhang 0032 — South China University of Technology, Guangdong Cardiovascular Institute, Academy of Medical Sciences, Guangdong Provincial People's Hospital, Guangzhou, China
- Kai Zhang 0033 — Zhejiang University City College, School of Computer and Computing Science, Hangzhou, China
- Kai Zhang 0034 — Shanghai University, Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, China
- Kai Zhang 0035 — Beijing University of Posts and Telecommunications, School of Cyberspace Security, Information Security Center, National Engineering Laboratory for Disaster Backup and Recovery, China
- Kai Zhang 0036 — Chang'an University, School of Automobile Engineering, Xi'an, China
- Kai Zhang 0037 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
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2020 – today
- 2021
[i16]Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. CoRR abs/2103.14006 (2021)- 2020
- [c18]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CVPR Workshops 2020: 2045-2057 - [c17]Kai Zhang, Luc Van Gool, Radu Timofte:
Deep Unfolding Network for Image Super-Resolution. CVPR 2020: 3214-3223 - [c16]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c15]Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte:
DHP: Differentiable Meta Pruning via HyperNetworks. ECCV (8) 2020: 608-624 - [i15]Kai Zhang, Luc Van Gool, Radu Timofte:
Deep Unfolding Network for Image Super-Resolution. CoRR abs/2003.10428 (2020) - [i14]Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte:
DHP: Differentiable Meta Pruning via HyperNetworks. CoRR abs/2003.13683 (2020) - [i13]Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. CoRR abs/2005.01056 (2020) - [i12]Mu Li, Kai Zhang, Wangmeng Zuo, Radu Timofte, David Zhang:
Learning Context-Based Non-local Entropy Modeling for Image Compression. CoRR abs/2005.04661 (2020) - [i11]Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture. CoRR abs/2006.16242 (2020) - [i10]Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte:
Plug-and-Play Image Restoration with Deep Denoiser Prior. CoRR abs/2008.13751 (2020) - [i9]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020)
2010 – 2019
- 2019
- [j9]Jiuwen Cao, Kai Zhang, Hongwei Yong, Xiaoping Lai, Badong Chen, Zhiping Lin:
Extreme Learning Machine With Affine Transformation Inputs in an Activation Function. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2093-2107 (2019) - [c14]Kai Zhang, Wangmeng Zuo, Lei Zhang:
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels. CVPR 2019: 1671-1681 - [c13]Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang:
Toward Convolutional Blind Denoising of Real Photographs. CVPR 2019: 1712-1722 - [c12]Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210 - [c11]Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He:
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c10]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c9]Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. ICCV Workshops 2019: 3565-3574 - [i8]Kai Zhang, Wangmeng Zuo, Lei Zhang:
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels. CoRR abs/1903.12529 (2019) - [i7]Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang:
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. CoRR abs/1911.01249 (2019) - 2018
- [j8]Kede Ma, Wentao Liu, Kai Zhang, Zhengfang Duanmu, Zhou Wang, Wangmeng Zuo:
End-to-End Blind Image Quality Assessment Using Deep Neural Networks. IEEE Trans. Image Process. 27(3): 1202-1213 (2018) - [j7]Kai Zhang, Wangmeng Zuo, Lei Zhang:
FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising. IEEE Trans. Image Process. 27(9): 4608-4622 (2018) - [c8]Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo:
Multi-Level Wavelet-CNN for Image Restoration. CVPR Workshops 2018: 773-782 - [c7]Kai Zhang, Wangmeng Zuo, Lei Zhang:
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations. CVPR 2018: 3262-3271 - [c6]Fengchi Xu, Zifei Yan, Gang Xiao, Kai Zhang, Wangmeng Zuo:
JPEG Image Super-Resolution via Deep Residual Network. ICIC (3) 2018: 472-483 - [i6]Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo:
Multi-level Wavelet-CNN for Image Restoration. CoRR abs/1805.07071 (2018) - [i5]Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang:
Toward Convolutional Blind Denoising of Real Photographs. CoRR abs/1807.04686 (2018) - 2017
- [j6]Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, Lei Zhang:
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. IEEE Trans. Image Process. 26(7): 3142-3155 (2017) - [c5]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c4]Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang:
Learning Deep CNN Denoiser Prior for Image Restoration. CVPR 2017: 2808-2817 - [i4]Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang:
Learning Deep CNN Denoiser Prior for Image Restoration. CoRR abs/1704.03264 (2017) - [i3]Kai Zhang, Wangmeng Zuo, Lei Zhang:
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising. CoRR abs/1710.04026 (2017) - [i2]Kai Zhang, Wangmeng Zuo, Lei Zhang:
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations. CoRR abs/1712.06116 (2017) - 2016
- [j5]Jiuwen Cao, Kai Zhang, Minxia Luo, Chun Yin, Xiaoping Lai:
Extreme learning machine and adaptive sparse representation for image classification. Neural Networks 81: 91-102 (2016) - [j4]Kai Zhang, Baoquan Wang, Wangmeng Zuo, Hongzhi Zhang, Lei Zhang:
Joint Learning of Multiple Regressors for Single Image Super-Resolution. IEEE Signal Process. Lett. 23(1): 102-106 (2016) - [c3]Feng Pan, Zifei Yan, Kai Zhang, Hongzhi Zhang, Wangmeng Zuo:
The Effect of Quantization Setting for Image Denoising Methods: An Empirical Study. CCPR (2) 2016: 274-285 - [i1]Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, Lei Zhang:
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. CoRR abs/1608.03981 (2016) - 2015
- [j3]Minxia Luo, Kai Zhang:
Robustness of full implication algorithms based on interval-valued fuzzy inference. Int. J. Approx. Reason. 62: 61-72 (2015) - [j2]Kai Zhang, Minxia Luo:
Outlier-robust extreme learning machine for regression problems. Neurocomputing 151: 1519-1527 (2015) - [c2]Pengju Liu, Hongzhi Zhang, Kai Zhang, Changchun Luo, Wangmeng Zuo:
Class Relatedness Oriented Discriminative Dictionary Learning. CCCV (1) 2015: 335-343 - [c1]Kai Zhang, Xiaoyu Zhou, Hongzhi Zhang, Wangmeng Zuo:
Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms. PCM (1) 2015: 677-687 - 2014
- [j1]Minxia Luo, Kai Zhang:
A hybrid approach combining extreme learning machine and sparse representation for image classification. Eng. Appl. Artif. Intell. 27: 228-235 (2014)
Coauthor Index
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