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2020 – today
- 2025
[i48]Leheng Zhang, Weiyi You, Kexuan Shi, Shuhang Gu:
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model. CoRR abs/2503.18512 (2025)- [i47]Wei Long, Xingyu Zhou, Leheng Zhang, Shuhang Gu:
Progressive Focused Transformer for Single Image Super-Resolution. CoRR abs/2503.20337 (2025) - [i46]Weiyi You, Mingyang Zhang, Leheng Zhang, Xingyu Zhou, Kexuan Shi, Shuhang Gu:
Consistency Trajectory Matching for One-Step Generative Super-Resolution. CoRR abs/2503.20349 (2025) - 2024
- [j19]Xin Deng
, Enpeng Liu, Chao Gao, Shengxi Li, Shuhang Gu, Mai Xu:
CrossHomo: Cross-Modality and Cross-Resolution Homography Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5725-5742 (2024) - [j18]Yuhui Wu, Guoqing Wang, Shaochong Liu, Yang Yang, Wei Liu, Xiongxin Tang, Shuhang Gu, Chongyi Li, Heng Tao Shen:
Towards a Flexible Semantic Guided Model for Single Image Enhancement and Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9921-9939 (2024) - [c62]Leheng Zhang, Yawei Li, Xingyu Zhou, Xiaorui Zhao, Shuhang Gu:
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary. CVPR 2024: 2856-2865 - [c61]Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu, Yang Zhao, Yingqian Wang, Zhi Jin, Shuhang Gu, Radu Timofte:
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2024: 6198-6207 - [c60]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594 - [c59]Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu:
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. CVPR 2024: 25399-25408 - [c58]Kexuan Shi, Xingyu Zhou, Shuhang Gu:
Improved Implicit Neural Representation with Fourier Reparameterized Training. CVPR 2024: 25985-25994 - [c57]Kaihao Lin, Guoqing Wang, Yuhui Wu, Shuhang Gu, Xing Xu, Yang Yang:
Domain Prompt Learning Framework for Real Image Dehazing. ICME 2024: 1-6 - [c56]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. ICML 2024 - [c55]Minghao Han, Shiyin Jiang, Shengxi Li, Xin Deng, Mai Xu, Ce Zhu, Shuhang Gu:
Causal Context Adjustment Loss for Learned Image Compression. NeurIPS 2024 - [i45]Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu:
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. CoRR abs/2401.06312 (2024) - [i44]Kexuan Shi, Xingyu Zhou, Shuhang Gu:
Improved Implicity Neural Representation with Fourier Bases Reparameterized Training. CoRR abs/2401.07402 (2024) - [i43]Leheng Zhang, Yawei Li, Xingyu Zhou, Xiaorui Zhao, Shuhang Gu:
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary. CoRR abs/2401.08209 (2024) - [i42]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR abs/2404.14248 (2024) - [i41]Huayuan Ye, Shenzhuo Zhang, Shiqi Jiang, Jing Liao, Shuhang Gu, Changbo Wang, Chenhui Li:
PPRSteg: Printing and Photography Robust QR Code Steganography via Attention Flow-Based Model. CoRR abs/2405.16414 (2024) - [i40]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR abs/2407.03152 (2024) - [i39]Jinhua Zhang, Hualian Sheng, Sijia Cai, Bing Deng, Qiao Liang, Wen Li, Ying Fu, Jieping Ye, Shuhang Gu:
PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models. CoRR abs/2407.06109 (2024) - [i38]Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu, Yang Zhao, Yingqian Wang, Zhi Jin, Shuhang Gu, Radu Timofte:
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. CoRR abs/2409.16947 (2024) - [i37]Minghao Han, Shiyin Jiang, Shengxi Li, Xin Deng, Mai Xu, Ce Zhu, Shuhang Gu:
Causal Context Adjustment Loss for Learned Image Compression. CoRR abs/2410.04847 (2024) - [i36]Kexuan Shi, Hai Chen, Leheng Zhang, Shuhang Gu:
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations. CoRR abs/2410.13271 (2024) - 2023
- [j17]Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, Kede Ma:
Measuring Perceptual Color Differences of Smartphone Photographs. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10114-10128 (2023) - [c54]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c53]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR 2023: 17346-17356 - [c52]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR 2023 - [c51]Jiale Tao, Shuhang Gu, Wen Li, Lixin Duan:
Learning Motion Refinement for Unsupervised Face Animation. NeurIPS 2023 - [i35]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. CoRR abs/2302.06556 (2023) - [i34]Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CoRR abs/2303.18164 (2023) - [i33]Jiale Tao, Shuhang Gu, Wen Li, Lixin Duan:
Learning Motion Refinement for Unsupervised Face Animation. CoRR abs/2310.13912 (2023) - 2022
- [j16]Zhenghao Chen, Shuhang Gu, Guo Lu, Dong Xu:
Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression. IEEE Trans. Image Process. 31: 1697-1707 (2022) - [j15]Kaisiyuan Wang, Lu Sheng, Shuhang Gu, Dong Xu:
VPU: A Video-Based Point Cloud Upsampling Framework. IEEE Trans. Image Process. 31: 4062-4075 (2022) - [j14]Mu Li, Jinxing Li, Shuhang Gu, Feng Wu, David Zhang:
End-to-End Optimized 360° Image Compression. IEEE Trans. Image Process. 31: 6267-6281 (2022) - [c50]Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CVPR 2022: 191-201 - [c49]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2022: 905-918 - [c48]Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu:
Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks. ECCV (19) 2022: 74-91 - [i32]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CoRR abs/2204.09197 (2022) - [i31]Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CoRR abs/2205.05676 (2022) - [i30]Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, Kede Ma:
Measuring Perceptual Color Differences of Smartphone Photography. CoRR abs/2205.13489 (2022) - 2021
- [j13]Boyun Li, Yuanbiao Gou, Shuhang Gu, Zitao Liu, Joey Tianyi Zhou, Xi Peng:
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network. Int. J. Comput. Vis. 129(5): 1754-1767 (2021) - [j12]Shuhang Gu, Kede Ma, Radu Timofte:
Special Section Guest Editorial: Perceptually Optimized Imaging. J. Electronic Imaging 30(2): 021001 (2021) - [j11]Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang:
Learning Content-Weighted Deep Image Compression. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3446-3461 (2021) - [j10]Kaisiyuan Wang, Lu Sheng, Shuhang Gu, Dong Xu:
Sequential Point Cloud Upsampling by Exploiting Multi-Scale Temporal Dependency. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4686-4696 (2021) - [j9]Xin Deng, Yutong Zhang, Mai Xu, Shuhang Gu, Yiping Duan:
Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution. IEEE Trans. Image Process. 30: 3098-3112 (2021) - [j8]Jinxing Li, Dandan Fan, Lingxiao Yang, Shuhang Gu, Guangming Lu, Yong Xu, David Zhang:
Layer-Output Guided Complementary Attention Learning for Image Defocus Blur Detection. IEEE Trans. Image Process. 30: 3748-3763 (2021) - [c47]Ce Liu, Shuhang Gu, Luc Van Gool, Radu Timofte:
Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. BMVC 2021: 354 - [c46]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2021: 677-690 - [c45]Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. CVPR 2021: 2144-2153 - [c44]Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-Based Kernel Prior With Application to Blind Super-Resolution. CVPR 2021: 10601-10610 - [c43]Yunxuan Wei, Shuhang Gu, Yawei Li, Radu Timofte, Longcun Jin, Hengjie Song:
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training. CVPR 2021: 13385-13394 - [c42]Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao:
Improving Facial Attribute Recognition by Group and Graph Learning. ICME 2021: 1-6 - [c41]Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte:
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. WACV 2021: 1029-1039 - [i29]Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-based Kernel Prior with Application to Blind Super-Resolution. CoRR abs/2103.15977 (2021) - [i28]Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR abs/2105.03072 (2021) - [i27]Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte, Chiu Man Ho, Zibo Meng, Kyoung Mu Lee, Yuxiang Chen, Yutong Wang, Zeyu Long, Chenhao Wang, Yifei Chen, Boshen Xu, Shuhang Gu, Lixin Duan, Wen Li, Bofei Wang, Diankai Zhang, Chengjian Zheng, Shaoli Liu, Si Gao, Xiaofeng Zhang, Kaidi Lu, Tianyu Xu, Zheng Hui, Xinbo Gao, Xiumei Wang, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan:
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08826 (2021) - [i26]Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao:
Improving Facial Attribute Recognition by Group and Graph Learning. CoRR abs/2105.13825 (2021) - [i25]Wenlong Cheng, Mingbo Zhao, Zhiling Ye, Shuhang Gu:
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN. CoRR abs/2107.12679 (2021) - 2020
- [j7]Shuhang Gu, Shi Guo, Wangmeng Zuo, Yunjin Chen, Radu Timofte, Luc Van Gool, Lei Zhang:
Learned Dynamic Guidance for Depth Image Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2437-2452 (2020) - [c40]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 - [c39]Jin Xiao, Shuhang Gu, Lei Zhang:
Multi-Domain Learning for Accurate and Few-Shot Color Constancy. CVPR 2020: 3255-3264 - [c38]Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte:
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR 2020: 8015-8024 - [c37]Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, C. V. Jiji:
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. ECCV Workshops (4) 2020: 57-81 - [c36]Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu:
Improving Deep Video Compression by Resolution-Adaptive Flow Coding. ECCV (2) 2020: 193-209 - [c35]Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flexible Example-Based Image Enhancement with Task Adaptive Global Feature Self-guided Network. ECCV Workshops (3) 2020: 343-358 - [c34]Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte:
DHP: Differentiable Meta Pruning via HyperNetworks. ECCV (8) 2020: 608-624 - [c33]Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian:
Video Super-Resolution with Recurrent Structure-Detail Network. ECCV (12) 2020: 645-660 - [i24]Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte:
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CoRR abs/2003.08935 (2020) - [i23]Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte:
DHP: Differentiable Meta Pruning via HyperNetworks. CoRR abs/2003.13683 (2020) - [i22]Yunxuan Wei, Shuhang Gu, Yawei Li, Longcun Jin:
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training. CoRR abs/2004.01178 (2020) - [i21]Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte:
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. CoRR abs/2004.06502 (2020) - [i20]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) - [i19]Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network. CoRR abs/2005.06654 (2020) - [i18]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) - [i17]Boyun Li, Yuanbiao Gou, Shuhang Gu, Jerry Zitao Liu, Joey Tianyi Zhou, Xi Peng:
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network. CoRR abs/2006.16829 (2020) - [i16]Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian:
Video Super-Resolution with Recurrent Structure-Detail Network. CoRR abs/2008.00455 (2020) - [i15]Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu:
Improving Deep Video Compression by Resolution-adaptive Flow Coding. CoRR abs/2009.05982 (2020) - [i14]Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji:
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. CoRR abs/2009.06290 (2020)
2010 – 2019
- 2019
- [c32]Berk Dogan, Shuhang Gu, Radu Timofte:
Exemplar Guided Face Image Super-Resolution Without Facial Landmarks. CVPR Workshops 2019: 1814-1823 - [c31]Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c30]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 H. 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 - [c29]Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak:
NTIRE 2019 Challenge on Image Colorization: Report. CVPR Workshops 2019: 2233-2240 - [c28]Shuhang Gu, Yawei Li, Luc Van Gool, Radu Timofte:
Self-Guided Network for Fast Image Denoising. ICCV 2019: 2511-2520 - [c27]Shuhang Gu, Wen Li, Luc Van Gool, Radu Timofte:
Fast Image Restoration With Multi-Bin Trainable Linear Units. ICCV 2019: 4189-4198 - [c26]Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte:
Learning Filter Basis for Convolutional Neural Network Compression. ICCV 2019: 5622-5631 - [c25]Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai:
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3467-3475 - [c24]Dario Fuoli, Shuhang Gu, Radu Timofte:
Efficient Video Super-Resolution through Recurrent Latent Space Propagation. ICCV Workshops 2019: 3476-3485 - [c23]Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte:
DIV8K: DIVerse 8K Resolution Image Dataset. ICCV Workshops 2019: 3512-3516 - [c22]Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen:
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3556-3564 - [c21]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 - [c20]Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 2019: 3575-3583 - [c19]Manuel Fritsche, Shuhang Gu, Radu Timofte:
Frequency Separation for Real-World Super-Resolution. ICCV Workshops 2019: 3599-3608 - [c18]Sohyeong Kim, Guanju Li, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Shuhang Gu, Radu Timofte:
The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping. ICCV Workshops 2019: 3609-3616 - [i13]Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang:
Learning Content-Weighted Deep Image Compression. CoRR abs/1904.00664 (2019) - [i12]Berk Dogan, Shuhang Gu, Radu Timofte:
Exemplar Guided Face Image Super-Resolution without Facial Landmarks. CoRR abs/1906.07078 (2019) - [i11]Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte:
Learning Filter Basis for Convolutional Neural Network Compression. CoRR abs/1908.08932 (2019) - [i10]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) - [i9]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/1911.07783 (2019) - [i8]Manuel Fritsche, Shuhang Gu, Radu Timofte:
Frequency Separation for Real-World Super-Resolution. CoRR abs/1911.07850 (2019) - 2018
- [j6]Yu Xiang, Guoqiang Zhang, Shuhang Gu, Jianrui Cai:
Online multi-layer dictionary pair learning for visual classification. Expert Syst. Appl. 105: 174-182 (2018) - [j5]Jianrui Cai, Shuhang Gu, Lei Zhang:
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images. IEEE Trans. Image Process. 27(4): 2049-2062 (2018) - [c17]Pengwei Hu, Zhu-Hong You, Tiantian He, Shaochun Li, Shuhang Gu, Keith C. C. Chan:
Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction. BIBM 2018: 1163-1169 - [c16]Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool:
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2018: 852-863 - [c15]Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang:
Learning Convolutional Networks for Content-Weighted Image Compression. CVPR 2018: 3214-3223 - [c14]Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shuhang Gu, Jing Tao, Deyu Meng:
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding. CVPR 2018: 6644-6653 - [c13]Yawei Li, Eirikur Agustsson, Shuhang Gu, Radu Timofte, Luc Van Gool:
CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution. ECCV Workshops (5) 2018: 166-181 - [c12]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333 - [c11]Shuhang Gu, Radu Timofte, Luc Van Gool:
Integrating Local and Non-local Denoiser Priors for Image Restoration. ICPR 2018: 2923-2928 - [i7]Mu Li, Shuhang Gu, David Zhang, Wangmeng Zuo:
Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression. CoRR abs/1801.04662 (2018) - [i6]Shuhang Gu, Radu Timofte, Luc Van Gool:
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks. CoRR abs/1807.11389 (2018) - [i5]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018) - 2017
- [j4]Shuhang Gu, Qi Xie, Deyu Meng, Wangmeng Zuo, Xiangchu Feng, Lei Zhang:
Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision. Int. J. Comput. Vis. 121(2): 183-208 (2017) - [j3]Jianbo Jiao, Qingxiong Yang, Shengfeng He, Shuhang Gu, Lei Zhang, Rynson W. H. Lau:
Joint Image Denoising and Disparity Estimation via Stereo Structure PCA and Noise-Tolerant Cost. Int. J. Comput. Vis. 124(2): 204-222 (2017) - [c10]Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang:
Learning Dynamic Guidance for Depth Image Enhancement. CVPR 2017: 712-721 - [c9]Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang:
Learning Deep CNN Denoiser Prior for Image Restoration. CVPR 2017: 2808-2817 - [c8]Shuhang Gu, Deyu Meng, Wangmeng Zuo, Lei Zhang:
Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation. ICCV 2017: 1717-1725 - [i4]Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang:
Learning Convolutional Networks for Content-weighted Image Compression. CoRR abs/1703.10553 (2017) - [i3]Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang:
Learning Deep CNN Denoiser Prior for Image Restoration. CoRR abs/1704.03264 (2017) - 2016
- [j2]Wangmeng Zuo, Dongwei Ren, David Zhang, Shuhang Gu, Lei Zhang:
Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution. IEEE Trans. Image Process. 25(4): 1751-1764 (2016) - [j1]Yuan Xie, Shuhang Gu, Yan Liu, Wangmeng Zuo, Wensheng Zhang, Lei Zhang:
Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction. IEEE Trans. Image Process. 25(10): 4842-4857 (2016) - [c7]Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang:
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization. CVPR 2016: 1692-1700 - [c6]Keze Wang, Liang Lin, Wangmeng Zuo, Shuhang Gu, Lei Zhang:
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection. CVPR 2016: 2138-2146 - 2015
- [c5]Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, Lei Zhang:
Discriminative learning of iteration-wise priors for blind deconvolution. CVPR 2015: 3232-3240 - [c4]Shuhang Gu, Wangmeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, Lei Zhang:
Convolutional Sparse Coding for Image Super-Resolution. ICCV 2015: 1823-1831 - [i2]Yuan Xie, Shuhang Gu, Yan Liu, Wangmeng Zuo, Wensheng Zhang, Lei Zhang:
Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction. CoRR abs/1512.01003 (2015) - 2014
- [c3]Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng:
Weighted Nuclear Norm Minimization with Application to Image Denoising. CVPR 2014: 2862-2869 - [c2]Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng:
Projective dictionary pair learning for pattern classification. NIPS 2014: 793-801 - [i1]Qi Xie, Deyu Meng, Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Zongben Xu:
On the Optimal Solution of Weighted Nuclear Norm Minimization. CoRR abs/1405.6012 (2014) - 2012
- [c1]Shuhang Gu, Nong Sang, Fan Ma:
Fast image super resolution via local regression. ICPR 2012: 3128-3131
Coauthor Index
[c61] [c60] [c56] [i42] [i40] [i38] [c54] [c53] [c52] [i35] [i34] [c50] [c49] [i32] [i31] [j12] [c47] [c46] [c45] [c44] [c43] [c41] [i29] [i28] [i27] [j7] [c40] [c38] [c37] [c35] [c34] [i24] [i23] [i21] [i20] [i19] [i18] [i14] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i12] [i11] [i10] [i9] [i8] [c16] [c13] [c12] [c11] [i6] [i5]
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