Shuhang Gu

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 110

Top Venues

Publications

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR (2024)
Xingyu Zhou, Leheng Zhang, Xiaorui Zhao, Keze Wang, Leida Li, Shuhang Gu
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention. CoRR (2024)
Kexuan Shi, Xingyu Zhou, Shuhang Gu
Improved Implicity Neural Representation with Fourier Bases Reparameterized Training. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CoRR (2023)
Jiale Tao, Shuhang Gu, Wen Li, Lixin Duan
Learning Motion Refinement for Unsupervised Face Animation. CoRR (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR (2023)
Jiale Tao, Shuhang Gu, Wen Li, Lixin Duan
Learning Motion Refinement for Unsupervised Face Animation. NeurIPS (2023)
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) (2023)
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. CoRR (2023)
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)
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)
Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool
Revisiting Random Channel Pruning for Neural Network Compression. CVPR (2022)
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 (2022)
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)
Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool
Revisiting Random Channel Pruning for Neural Network Compression. CoRR (2022)
Kaisiyuan Wang, Lu Sheng, Shuhang Gu, Dong Xu
VPU: A Video-Based Point Cloud Upsampling Framework. IEEE Trans. Image Process. 31 (2022)
Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CoRR (2022)
Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, Kede Ma
Measuring Perceptual Color Differences of Smartphone Photography. CoRR (2022)
Mu Li, Jinxing Li, Shuhang Gu, Feng Wu, David Zhang
End-to-End Optimized 360° Image Compression. IEEE Trans. Image Process. 31 (2022)
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 (2021)
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)
Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte
Flow-Based Kernel Prior With Application to Blind Super-Resolution. CVPR (2021)
Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao
Improving Facial Attribute Recognition by Group and Graph Learning. ICME (2021)
Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang
Learning Content-Weighted Deep Image Compression. IEEE Trans. Pattern Anal. Mach. Intell. 43 (10) (2021)
Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte
Flow-based Kernel Prior with Application to Blind Super-Resolution. CoRR (2021)
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)
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 (2021)
Shuhang Gu, Kede Ma, Radu Timofte
Special Section Guest Editorial: Perceptually Optimized Imaging. J. Electronic Imaging 30 (2) (2021)
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. Int. J. Comput. Vis. 129 (5) (2021)
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 (2021)
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) (2021)
Ce Liu, Shuhang Gu, Luc Van Gool, Radu Timofte
Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. BMVC (2021)
Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao
Improving Facial Attribute Recognition by Group and Graph Learning. CoRR (2021)
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)
Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. WACV (2021)
Wenlong Cheng, Mingbo Zhao, Zhiling Ye, Shuhang Gu
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN. CoRR (2021)
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 (2021)
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) (2020)
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)
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 (2020)
Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian
Video Super-Resolution with Recurrent Structure-Detail Network. ECCV (12) (2020)
Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte
DHP: Differentiable Meta Pruning via HyperNetworks. ECCV (8) (2020)
Yunxuan Wei, Shuhang Gu, Yawei Li, Longcun Jin
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training. CoRR (2020)
Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte
DHP: Differentiable Meta Pruning via HyperNetworks. CoRR (2020)
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 (2020)
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 (2020)
Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. CoRR (2020)
Dario Kneubuehler, Shuhang Gu, Luc Van Gool, Radu Timofte
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network. CoRR (2020)
Jin Xiao, Shuhang Gu, Lei Zhang
Multi-Domain Learning for Accurate and Few-Shot Color Constancy. CVPR (2020)
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)
Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu
Improving Deep Video Compression by Resolution-Adaptive Flow Coding. ECCV (2) (2020)
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 (2020)
Yawei Li, Shuhang Gu, Christoph Mayer, Luc Van Gool, Radu Timofte
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CoRR (2020)
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)
Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu
Improving Deep Video Compression by Resolution-adaptive Flow Coding. CoRR (2020)
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)
Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian
Video Super-Resolution with Recurrent Structure-Detail Network. CoRR (2020)
Shuhang Gu, Yawei Li, Luc Van Gool, Radu Timofte
Self-Guided Network for Fast Image Denoising. ICCV (2019)
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 (2019)
Manuel Fritsche, Shuhang Gu, Radu Timofte
Frequency Separation for Real-World Super-Resolution. ICCV Workshops (2019)
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)
Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte
Learning Filter Basis for Convolutional Neural Network Compression. CoRR (2019)
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)
Berk Dogan, Shuhang Gu, Radu Timofte
Exemplar Guided Face Image Super-Resolution without Facial Landmarks. CoRR (2019)
Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte
Learning Filter Basis for Convolutional Neural Network Compression. ICCV (2019)
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)
Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang
Learning Content-Weighted Deep Image Compression. CoRR (2019)
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 (2019)
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)
Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte
DIV8K: DIVerse 8K Resolution Image Dataset. ICCV Workshops (2019)
Manuel Fritsche, Shuhang Gu, Radu Timofte
Frequency Separation for Real-World Super-Resolution. CoRR (2019)
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, A. Murat Tekalp, M. 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)
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)
Shuhang Gu, Wen Li, Luc Van Gool, Radu Timofte
Fast Image Restoration With Multi-Bin Trainable Linear Units. ICCV (2019)
Dario Fuoli, Shuhang Gu, Radu Timofte
Efficient Video Super-Resolution through Recurrent Latent Space Propagation. ICCV Workshops (2019)
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)
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)
Berk Dogan, Shuhang Gu, Radu Timofte
Exemplar Guided Face Image Super-Resolution Without Facial Landmarks. CVPR Workshops (2019)
Yu Xiang, Guoqiang Zhang, Shuhang Gu, Jianrui Cai
Online multi-layer dictionary pair learning for visual classification. Expert Syst. Appl. 105 (2018)
Mu Li, Shuhang Gu, David Zhang, Wangmeng Zuo
Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression. CoRR (2018)
Shuhang Gu, Radu Timofte, Luc Van Gool
Integrating Local and Non-local Denoiser Priors for Image Restoration. ICPR (2018)
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)
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)
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 (2018)
Radu Timofte, Shuhang Gu, Jiqing Wu, Luc Van Gool
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops (2018)
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)
Shuhang Gu, Radu Timofte, Luc Van Gool
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks. CoRR (2018)
Jianrui Cai, Shuhang Gu, Lei Zhang
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images. IEEE Trans. Image Process. 27 (4) (2018)
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)
Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang
Learning Convolutional Networks for Content-Weighted Image Compression. CVPR (2018)
Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang
Learning Dynamic Guidance for Depth Image Enhancement. CVPR (2017)
Kai Zhang, Wangmeng Zuo, Shuhang Gu, Lei Zhang
Learning Deep CNN Denoiser Prior for Image Restoration. CoRR (2017)
Shuhang Gu, Deyu Meng, Wangmeng Zuo, Lei Zhang
Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation. ICCV (2017)
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) (2017)

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Shuhang Gu