基本信息
董超  男  硕导  中国科学院深圳先进技术研究院
电子邮件: chao.dong@siat.ac.cn
通信地址: 深圳市南山区学苑大道1068号
邮政编码:

研究领域

底层计算机视觉,主要包括图像/视频超分辨率,去噪,增强,HDR等。

教育背景

2012-08--2016-12   香港中文大学   博士学位
2007-09--2011-07   北京理工大学   学士学位

教授课程

深度学习与计算机视觉

专利与奖励

   
奖励信息
(1) NTIRE 2022 Challenge on Efficient Super-Resolution Sub-track 1 Model Complexity, 一等奖, 其他, 2022
(2) NTIRE 2021 Challenge on High Dynamic Range Imaging Track 1, 二等奖, 其他, 2021
(3) AIM 2020 Challenge on Video Frame Interpolation, 一等奖, 其他, 2020
(4) NTIRE 2019 Challenge on Real Image Super Resolution, 一等奖, 其他, 2019
(5) NTIRE 2019 Challenge on Video Super Resolution, 一等奖, 其他, 2019
(6) NTIRE 2019 Challenge on Video Deblurring, 一等奖, 其他, 2019
(7) PIRM 2018 Challenge on Perceptual SR challenge Region 1, 三等奖, 其他, 2018
(8) PIRM 2018 on Perceptual SR Challenge Region 3, 一等奖, 其他, 2018
(9) NTIRE 2018 Challenge on Single Image Super Resolution, 二等奖, 其他, 2018
(10) NTIRE 2017 Challenge on Single Image Super Resolution, 二等奖, 其他, 2017
专利成果
[1] 陈翔宇, 董超, 毕亚雷. 一种自助采样的检测方法、装置、终端设备和存储介质. CN: CN113378804A, 2021-09-10.

[2] 章政文, 陈翔宇, 董超, 乔宇. 图像高亮区域的信息补偿方法、装置、设备及存储介质. CN: CN113781321A, 2021-12-10.

[3] 陈翔宇, 章政文, 董超, 乔宇. 一种HDR视频转换方法、装置、设备及计算机存储介质. CN: CN113784175A, 2021-12-10.

[4] 章政文, 陈翔宇, 董超, 乔宇. 一种HDR视频转换方法、装置、设备及计算机存储介质. CN: CN113781319A, 2021-12-10.

[5] 章政文, 陈翔宇, 董超, 乔宇. 一种图像处理方法、装置、终端设备及存储介质. CN: CN113781320A, 2021-12-10.

[6] 陈翔宇, 章政文, 董超, 乔宇. 一种图像颜色映射方法、装置、终端设备及存储介质. CN: CN113781318A, 2021-12-10.

[7] 章政文, 陈翔宇, 董超, 乔宇. 一种色域映射方法、装置、终端设备及存储介质. CN: CN113781322A, 2021-12-10.

[8] 陈翔宇, 刘翼豪, 章政文, 乔宇, 董超. 一种图像增强方法、装置、终端设备及存储介质. CN: CN113298740A, 2021-08-24.

[9] 刘翼豪, 赵恒远, 董超, 乔宇. 一种视频优化方法、装置、终端设备及存储介质. CN: CN113298728A, 2021-08-24.

[10] 孔祥涛, 赵恒远, 董超, 乔宇. 一种超分辨率方法、装置、终端设备及存储介质. CN: CN112862681A, 2021-05-28.

[11] 董超, 乔宇, 赵恒远, 孔祥涛, 何静雯. 图像超分辨率方法、装置、设备及存储介质. CN: CN112184548A, 2021-01-05.

[12] 何静雯, 刘翼豪, 乔宇, 董超. 一种基于条件连续调节的图像调色增强方法. CN: CN111861940A, 2020-10-30.

[13] 刘翼豪, 董超, 乔宇. 图像调色增强方法和图像调色增强神经网络训练方法. CN: CN111598799A, 2020-08-28.

[14] 关伟鹏, 冯锐成, 董超, 乔宇. 一种基于多尺度特征表示与权值共享卷积层的图像超分辨率方法. CN: CN111353939A, 2020-06-30.

[15] 乔宇, 何静雯, 董超. 一种图像处理模型的构建方法、装置及终端设备. CN: CN110047044A, 2019-07-23.

[16] 乔宇, 张文龙, 刘翼豪, 董超. 一种超分辨率图像的重构方法、装置及设备. CN: CN109949219A, 2019-06-28.

[17] 刘茜娜, 胡锦帆, 陈翔宇, 董超. 一种基于U型动态网络的屏下相机图像复原方法. CN: CN115456891A, 2022-12-09.

[18] 李哲远, 刘滢琪, 陈翔宇, 董超, 蔡昊明, 顾津锦, 乔宇. 一种基于蓝图可分离残差网络的图像超分辨率方法. CN: CN115082306A, 2022-09-20.

[19] 周蔚, 邹静, 刘翼豪, 李英, 董超, 乔宇. 一种自适应视频增强方法和装置. CN: CN114584675A, 2022-06-03.

[20] 陈翔宇, 王鑫涛, 周建涛, 董超. 一种基于图像预训练策略的图像超分辨率方法. CN: CN114998099A, 2022-09-02.

[21] 刘翼豪, 董超, 乔宇, 赵恒远, 顾津锦. 一种用于评估深度超分辨率网络泛化能力的方法. CN: CN114743065A, 2022-07-12.

[22] 刘翼豪, 赵恒远, 董超, 乔宇. 一种视频优化方法、装置、终端设备及存储介质. CN: CN113298728B, 2023-01-24.

[23] 孔祥涛, 赵恒远, 董超, 乔宇. 一种超分辨率方法、装置、终端设备及存储介质. CN: CN112862681B, 2023-04-14.

出版信息

   
发表论文
[1] Wu, Shixiang, Dong, Chao, Qiao, Yu. Blind Image Restoration Based on Cycle-Consistent Network. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2023, 25: 1111-1124, http://dx.doi.org/10.1109/TMM.2021.3139209.
[2] Liu, Anran, Liu, Yihao, Gu, Jinjin, Qiao, Yu, Dong, Chao. Blind Image Super-Resolution: A Survey and Beyond. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2023, 45(5): 5461-5480, http://dx.doi.org/10.1109/TPAMI.2022.3203009.
[3] 董超. OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer. cvprnull. 2023, [4] 李雨航, 谢良彬, 董超. 深度学习的二维动画视觉领域修复综述. 计算机科学与探索[J]. 2023, 17(12): 2808-2826, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7623447&detailType=1.
[5] 董超. DegAE: A New Pretraining Paradigm for Low-Level Vision. cvprnull. 2023, [6] Shi, Shuwei, Gu, Jinjin, Xie, Liangbin, Wang, Xintao, Yang, Yujiu, Dong, Chao. Rethinking Alignment in Video Super-Resolution Transformers. 2022, http://arxiv.org/abs/2207.08494.
[7] He, Jingwen, Dong, Chao, Liu, Yihao, Qiao, Yu. Interactive Multi-Dimension Modulation for Image Restoration. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2022, 44(12): 9363-9379, [8] Chen, Xiangyu, Wang, Xintao, Zhou, Jiantao, Dong, Chao. Activating More Pixels in Image Super-Resolution Transformer. 2022, [9] 董超. Fine-grained Face Editing via Personalized Spatial-aware Affine Modulation. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2022, [10] 董超. GCFSR: A Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors. cvprnull. 2022, [11] Zhang Wenlong, Liu Yihao, Dong, Chao, Qiao, Yu. RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2022, 44(10): 7149-7166, http://dx.doi.org/10.1109/TPAMI.2021.3096327.
[12] Yu, Ke, Wang, Xintao, Dong, Chao, Tang, Xiaoou, Loy, Chen Change. Path-Restore: Learning Network Path Selection for Image Restoration. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2022, 44(10): 7078-7092, http://dx.doi.org/10.1109/TPAMI.2021.3096255.
[13] Kong, Xiangtao, Liu, Xina, Gu, Jinjin, Qiao, Yu, Dong, Chao. Reflash Dropout in Image Super-Resolution. 2022, http://arxiv.org/abs/2112.12089.
[14] Xie, Liangbin, Wang, Xintao, Dong, Chao, Qi, Zhongang, Shan, Ying. Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution. 2021, http://arxiv.org/abs/2108.01070.
[15] Wang, Xintao, Xie, Liangbin, Dong, Chao, Shan, Ying. Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data. 2021, http://arxiv.org/abs/2107.10833.
[16] Chen, Xiangyu, Liu, Yihao, Zhang, Zhengwen, Qiao, Yu, Dong, Chao. HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization. 2021, http://arxiv.org/abs/2105.13084.
[17] Gu, Jinjin, Dong, Chao. Interpreting Super-Resolution Networks with Local Attribution Maps. 2021, [18] Chen, Xiangyu, Zhang, Zhengwen, Ren, Jimmy S, Tian, Lynhoo, Qiao, Yu, Dong, Chao. A New Journey from SDRTV to HDRTV. 2021, http://arxiv.org/abs/2108.07978.
[19] Tekalp, A Murat, Covell, Michele, Timofte, Radu, Dong, Chao. Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING. 2021, 15(2): 157-161, https://www.webofscience.com/wos/woscc/full-record/WOS:000622098600001.
[20] Kong, Xiangtao, Zhao, Hengyuan, Qiao, Yu, Dong, Chao. ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic. 2021, http://arxiv.org/abs/2103.04039.
[21] Chan, Kelvin C K, Wang, Xintao, Yu, Ke, Dong, Chao, Loy, Chen Change. BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond. 2021, http://arxiv.org/abs/2012.02181.
[22] Cai, Haoming, He, Jingwen, Yu, Qiao, Dong, Chao. Toward Interactive Modulation for Photo-Realistic Image Restoration. 2021, http://arxiv.org/abs/2105.03085.
[23] Gu, Jinjin, Cai, Haoming, Dong, Chao, Ren, Jimmy S, Qiao, Yu, Gu, Shuhang, Timofte, Radu, Cheon, Manri, Yoon, Sungjun, Kang, Byungyeon Kangg, Lee, Junwoo, Zhang, Qing, Guo, Haiyang, Bin, Yi, Hou, Yuqing, Luo, Hengliang, Guo, Jingyu, Wang, Zirui, Wang, Hai, Yang, Wenming, Bai, Qingyan, Shi, Shuwei, Xia, Weihao, Cao, Mingdeng, Wang, Jiahao, Chen, Yifan, Yang, Yujiu, Li, Yang, Zhang, Tao, Feng, Longtao, Liao, Yiting, Li, Junlin, Thong, William, Pereira, Jose Costa, Leonardis, Ales, McDonagh, Steven, Xu, Kele, Yang, Lehan, Cai, Hengxing, Sun, Pengfei, Ayyoubzadeh, Seyed Mehdi, Royat, Ali, Fezza, Sid Ahmed, Hammou, Dounia, Hamidouche, Wassim, Ahn, Sewoong, Yoon, Gwangjin, Tsubota, Koki, Akutsu, Hiroaki, Aizawa, Kiyoharu, IEEE Comp Soc. NTIRE 2021 Challenge on Perceptual Image Quality Assessment. 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGITION WORKSHOPS (CVPRW 2021)null. 2021, 677-690, [24] He, Jingwen, Dong, Chao, Qiao, Yu. Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration. 2020, http://arxiv.org/abs/1912.05293.
[25] Feng, Ruicheng, Gu, Jinjin, Qiao, Yu, Dong, Chao, IEEE. Suppressing Model Overfitting for Image Super-Resolution Networks. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019)null. 2020, 1964-1973, [26] Zhang, Yongbing, Liu, Siyuan, Dong, Chao, Zhang, Xinfeng, Yuan, Yuan. Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2020, 29: 1101-1112, http://dx.doi.org/10.1109/TIP.2019.2938347.
[27] Nah, Seungjun, Timofte, Radu, Gu, Shuhang, Baik, Sungyong, Hong, Seokil, Moon, Gyeongsik, Son, Sanghyun, Lee, Kyoung Mu, Wang, Xintao, Chan, Kelvin C K, Yu, Ke, Dong, Chao, Loy, Chen Change, Fan, Yuchen, Yu, Jiahui, Liu, Ding, Huang, Thomas S, Liu, Xiao, Li, Chao, He, Dongliang, Ding, Yukang, Wen, Shilei, Porikli, Fatih, Kalarot, Ratheesh, Haris, Muhammad, Shakhnarovich, Greg, Ukita, Norimichi, Yi, Peng, Wang, Zhongyuan, Jiang, Kui, Jiang, Junjun, Ma, Jiayi, Dong, Hang, Zhang, Xinyi, Hu, Zhe, Kim, Kwanyoung, Kang, Dong Un, Chun, Se Young, Purohit, Kuldeep, Rajagopalan, A N, Tian, Yapeng, Zhang, Yulun, Fu, Yun, Xu, Chenliang, Tekalp, A Murat, Yilmaz, M Akin, Korkmaz, Cansu, Sharma, Manoj, Makwana, Megh, Badhwar, Anuj, Singh, Ajay Pratap, Upadhyay, Avinash, Mukhopadhyay, Rudrabha, Shukla, Ankit, Khanna, Dheeraj, Mandal, A S, Chaudhury, Santanu, Miao, Si, Zhu, Yongxin, Huo, Xiao, IEEE. NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019)null. 2020, 1985-1995, [28] Gu, Jinjin, Cai, Haoming, Chen, Haoyu, Ye, Xiaoxing, Ren, Jimmy, Dong, Chao. PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration. 2020, http://arxiv.org/abs/2007.12142.
[29] Zhao, Hengyuan, Kong, Xiangtao, He, Jingwen, Qiao, Yu, Dong, Chao. Efficient Image Super-Resolution Using Pixel Attention. 2020, http://arxiv.org/abs/2010.01073.
[30] Cai, Jianrui, Gu, Shuhang, Timofte, Radu, Zhang, Lei, Liu, Xiao, Ding, Yukang, He, Dongliang, Li, Chao, Fu, Yi, Wen, Shilei, Feng, Ruicheng, Gu, Jinjin, Qiao, Yu, Dong, Chao, Park, Dongwon, Chun, Se Young, Yoon, Sanghoon, Kwak, Junhyung, Son, Donghee, Zamir, Syed Waqas, Arora, Aditya, Khan, Salman, Khan, Fahad Shahbaz, Shao, Ling, Wei, Zhengping, Liu, Lei, Cai, Hong, Li, Darui, Gao, Fujie, Hui, Zheng, Wang, Xiumei, Gao, Xinbo, Cheng, Guoan, Matsune, Ai, Li, Qiuyu, Zhu, Leilei, Zang, Huaijuan, Zhan, Shu, Qiu, Yajun, Wang, Ruxin, Li, Jiawei, Jing, Yongcheng, Song, Mingli, Liu, Pengju, Zhang, Kai, Liu, Jingdong, Liu, Jiye, Zhang, Hongzhi, Zuo, Wangmeng, Tang, Wenyi, Liu, Jing, Kim, Youngjung, Shin, Changyeop, Kim, Minbeom, Kim, Sungho, Michelini, Pablo Navarrete, Liu, Hanwen, Zhu, Dan, Xu, Xuan, Li, Xin, Bai, Furui, Sun, Xiaopeng, Zha, Lin, Huang, Yuanfei, Lu, Wen, Cao, Yanpeng, Chen, Du, He, Zewei, Sun Anshun, Tang, Siliang, Fan, Hongfei, Li, Xiang, Li, Guo, Zhang, Wenjie, Zhang, Yumei, He, Qingwen, Qin, Jinghui, Huang, Lishan, Shi, Yukai, Wei, Pengxu, Wen, Wushao, Lin, Liang, Yu, Jun, Xie, Guochen, Li, Mengyan, Chen, Rong, Luo, Xiaotong, Hong, Chen, Qu, Yanyun, Li, Cuihua, Liu, ZhiSong, Wang, LiWen, Li, ChuTak, Zhao, Can, Li, Bowen, Tsai, ChungChi, Chuang, ShangChih, Choi, JoonHee, Kim, Joonsoo, Jiang, Xiaoyun, Pan, Ze, Lv, Qunbo, Tan, Zheng, He, Peidong, IEEE. NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. 2019IEEECVFCONFERENCEONCOMPUTERVISIONANDPATTERNRECOGNITIONWORKSHOPSCVPRW2019null. 2020, 2211-2223, [31] Liu, Yihao, Xie, Liangbin, Siyao, Li, Sun, Wenxiu, Qiao, Yu, Dong, Chao. Enhanced Quadratic Video Interpolation. 2020, http://arxiv.org/abs/2009.04642.
[32] Chan, Kelvin C K, Wang, Xintao, Yu, Ke, Dong, Chao, Loy, Chen Change. Understanding Deformable Alignment in Video Super-Resolution. 2020, http://arxiv.org/abs/2009.07265.
[33] Gu, Jinjin, Lu, Hannan, Zuo, Wangmeng, Dong, Chao, IEEE Comp Soc. Blind Super-Resolution With Iterative Kernel Correction. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)null. 2019, 1604-1613, [34] Wang, Xintao, Yu, Ke, Dong, Chao, Tang, Xiaoou, Loy, Chen Change, IEEE Comp Soc. Deep Network Interpolation for Continuous Imagery Effect Transition. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)null. 2019, 1692-1701, [35] Wang, Xintao, Chan, Kelvin C K, Yu, Ke, Dong, Chao, Loy, Chen Change, IEEE. EDVR: Video Restoration with Enhanced Deformable Convolutional Networks. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019)null. 2019, 1954-1963, [36] Zhang, Wenlong, Liu, Yihao, Dong, Chao, Qiao, Yu, IEEE. RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 3096-3105, [37] Li, Yunan, Miao, Qiguang, Ouyang, Wanli, Ma, Zhenxin, Fang, Huijuan, Dong, Chao, Quan, Yining, IEEE. LAP-Net: Level-Aware Progressive Network for Image Dehazing. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 3275-3284, [38] Wang, Xintao, Yu, Ke, Wu, Shixiang, Gu, Jinjin, Liu, Yihao, Dong, Chao, Qiao, Yu, Loy, Chen Change, LealTaixe, L, Roth, S. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. COMPUTER VISION - ECCV 2018 WORKSHOPS, PT Vnull. 2019, 11133: 63-79, [39] Ignatov, Andrey, Timofte, Radu, Van Vu, Thang, Luu, Tung Minh, Pham, Trung X, Van Nguyen, Cao, Kim, Yongwoo, Choi, JaeSeok, Kim, Munchurl, Huang, Jie, Ran, Jiewen, Xing, Chen, Zhou, Xingguang, Zhu, Pengfei, Geng, Mingrui, Li, Yawei, Agustsson, Eirikur, Gu, Shuhang, Van Gool, Luc, de Stoutz, Etienne, Kobyshev, Nikolay, Nie, Kehui, Zhao, Yan, Li, Gen, Tong, Tong, Gao, Qinquan, Liu, Hanwen, Michelini, Pablo Navarrete, Dan, Zhu, Hu, Fengshuo, Hui, Zheng, Wang, Xiumei, Deng, Lirui, Meng, Rang, Qin, Jinghui, Shi, Yukai, Wen, Wushao, Lin, Liang, Feng, Ruicheng, Wu, Shixiang, Dong, Chao, Qiao, Yu, Vasu, Subeesh, Madam, Nimisha Thekke, Kandula, Praveen, Rajagopalan, A N, Liu, Jie, Jung, Cheolkon, LealTaixe, L, Roth, S. PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. COMPUTER VISION - ECCV 2018 WORKSHOPS, PT Vnull. 2019, 11133: 315-333, [40] He Jingwen, Dong Chao, Qiao Yu. Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers. 2019, http://arxiv.org/abs/1904.08118.
[41] Feng Ruicheng, Gu Jinjin, Qiao Yu, Dong Chao. Suppressing Model Overfitting for Image Super-Resolution Networks. 2019, http://arxiv.org/abs/1906.04809.
[42] Li Tingting, Qian Ruihe, Dong Chao, Liu Si, Yan Qiong, Zhu Wenwu, Lin Liang, ACM. BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)null. 2018, 645-653, http://dx.doi.org/10.1145/3240508.3240618.
[43] Yu, Ke, Dong, Chao, Lin, Liang, Loy, Chen Change, IEEE. Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2018, 2443-2452, [44] Yuan Yuan, Liu Siyuan, Zhang Jiawei, Zhang Yongbing, Dong Chao, Lin Liang, IEEE. Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks. PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW)null. 2018, 814-823, [45] Wang, Xintao, Yu, Ke, Dong, Chao, Loy, Chen Change, IEEE. Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2018, 606-615, [46] Dong Chao, Loy Chen Change, Tang Xiaoou, Leibe B, Matas J, Sebe N, Welling M. Accelerating the Super-Resolution Convolutional Neural Network. COMPUTER VISION - ECCV 2016, PT IInull. 2016, 9906: 391-407, [47] Dong, Chao, Loy, Chen Change, He, Kaiming, Tang, Xiaoou. Image Super-Resolution Using Deep Convolutional Networks. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2016, 38(2): 295-307, http://dx.doi.org/10.1109/TPAMI.2015.2439281.
[48] Dong, Chao, Deng, Yubin, Loy, Chen Change, Tang, Xiaoou, IEEE. Compression Artifacts Reduction by a Deep Convolutional Network. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)null. 2015, 576-584, [49] Dong, Chao, Loy, Chen Change, He, Kaiming, Tang, Xiaoou, Fleet, D, Pajdla, T, Schiele, B, Tuytelaars, T. Learning a Deep Convolutional Network for Image Super-Resolution. COMPUTER VISION - ECCV 2014, PT IVnull. 2014, 8692: 184-199, [50] SANDINI, G. 2ND EUROPEAN CONFERENCE ON COMPUTER VISION. IMAGE AND VISION COMPUTINGnull. 1992, 10(10): 642-642, http://dx.doi.org/10.1016/0262-8856(92)90008-Q.
[51] Wang, Xintao, Yu, Ke, Wu, Shixiang, Gu, Jinjin, Liu, Yihao, Dong, Chao, Loy, Chen Change, Qiao, Yu, Tang, Xiaoou. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. http://arxiv.org/abs/1809.00219.

科研活动

   
科研项目
( 1 ) 先进院优秀青年创新基金, 主持, 部委级, 2018-11--2020-11
( 2 ) 数据驱动的下一代自适应图像去噪技术, 参与, 省级, 2018-03--2019-03
( 3 ) SIAT-CUHK多媒体技术联合实验室, 参与, 部委级, 2018-06--2022-06
( 4 ) 面向智慧城市的超大规模视觉分析的关键技术研发, 参与, 省级, 2019-03--2021-03

指导学生

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陈茜  硕士研究生  085211-计算机技术  

谢良彬  硕士研究生  085210-控制工程  

叶琦  硕士研究生  085211-计算机技术  

刘茜娜  硕士研究生  081200-计算机科学与技术  

孔祥涛  硕士研究生  081200-计算机科学与技术  

王林  硕士研究生  085404-计算机技术  

余世杰  硕士研究生  085210-控制工程  

赵禹翔  硕士研究生  085210-控制工程  

周华明  硕士研究生  085211-计算机技术  

秦谨  硕士研究生  085404-计算机技术  

莫柠锴  硕士研究生  085211-计算机技术  

王宏任  硕士研究生  085210-控制工程  

何艾莲  硕士研究生  085210-控制工程  

周林  硕士研究生  085211-计算机技术  

刘翼豪  博士研究生  081104-模式识别与智能系统  

现指导学生

黄毅  博士研究生  081203-计算机应用技术  

黄健成  硕士研究生  085404-计算机技术  

李雨航  硕士研究生  085404-计算机技术  

罗海鹏  硕士研究生  085404-计算机技术  

胡锦帆  博士研究生  081203-计算机应用技术  

罗骏  硕士研究生  081200-计算机科学与技术  

王子璇  硕士研究生  085404-计算机技术  

吕家禧  硕士研究生  085404-计算机技术  

赵明宇  硕士研究生  085404-计算机技术  

闫明富  硕士研究生  085404-计算机技术