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。

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

深度学习与计算机视觉

   

（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

[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.

   

[1] Wu, Shixiang, Dong, Chao, Qiao, Yu. Blind Image Restoration Based on Cycle-Consistent Network. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2023, 第 2 作者  通讯作者  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, 第 5 作者  通讯作者  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. cvpr. 2023, 第 1 作者
[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, 第 3 作者17(12): 2808-2826, http://lib.cqvip.com/Qikan/Article/Detail?id=7110996730.
[5] 董超. DegAE: A New Pretraining Paradigm for Low-Level Vision. cvpr. 2023, 第 1 作者
[6] Shi, Shuwei, Gu, Jinjin, Xie, Liangbin, Wang, Xintao, Yang, Yujiu, Dong, Chao. Rethinking Alignment in Video Super-Resolution Transformers. 2022, 第 6 作者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, 第 2 作者44(12): 9363-9379, 
[8] Chen, Xiangyu, Wang, Xintao, Zhou, Jiantao, Dong, Chao. Activating More Pixels in Image Super-Resolution Transformer. 2022, 第 4 作者
[9] 董超. Fine-grained Face Editing via Personalized Spatial-aware Affine Modulation. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2022, 第 1 作者
[10] 董超. GCFSR: A Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors. cvpr. 2022, 第 1 作者
[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, 第 3 作者  通讯作者  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, 第 3 作者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, 第 5 作者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, 第 3 作者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, 第 3 作者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, 第 5 作者http://arxiv.org/abs/2105.13084.
[17] Gu, Jinjin, Dong, Chao. Interpreting Super-Resolution Networks with Local Attribution Maps. 2021, 第 2 作者
[18] Chen, Xiangyu, Zhang, Zhengwen, Ren, Jimmy S, Tian, Lynhoo, Qiao, Yu, Dong, Chao. A New Journey from SDRTV to HDRTV. 2021, 第 6 作者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, 第 4 作者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, 第 4 作者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, 第 4 作者http://arxiv.org/abs/2012.02181.
[22] Cai, Haoming, He, Jingwen, Yu, Qiao, Dong, Chao. Toward Interactive Modulation for Photo-Realistic Image Restoration. 2021, 第 4 作者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). 2021, 第 3 作者677-690, 
[24] He, Jingwen, Dong, Chao, Qiao, Yu. Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration. 2020, 第 2 作者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). 2020, 第 4 作者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, 第 3 作者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). 2020, 第 0 作者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, 第 6 作者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, 第 5 作者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. 2019IEEECVFCONFERENCEONCOMPUTERVISIONANDPATTERNRECOGNITIONWORKSHOPSCVPRW2019. 2020, 第 14 作者2211-2223, 
[31] Liu, Yihao, Xie, Liangbin, Siyao, Li, Sun, Wenxiu, Qiao, Yu, Dong, Chao. Enhanced Quadratic Video Interpolation. 2020, 第 6 作者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, 第 4 作者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). 2019, 第 4 作者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). 2019, 第 3 作者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). 2019, 第 4 作者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). 2019, 第 11 作者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). 2019, 第 6 作者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 V. 2019, 第 6 作者11133: 63-79, 
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[40] He Jingwen, Dong Chao, Qiao Yu. Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers. 2019, 第 2 作者http://arxiv.org/abs/1904.08118.
[41] Feng Ruicheng, Gu Jinjin, Qiao Yu, Dong Chao. Suppressing Model Overfitting for Image Super-Resolution Networks. 2019, 第 4 作者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). 2018, 第 11 作者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). 2018, 第 2 作者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). 2018, 第 5 作者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). 2018, 第 3 作者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 II. 2016, 第 1 作者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, 第 1 作者  通讯作者  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). 2015, 第 1 作者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 IV. 2014, 第 1 作者8692: 184-199, 
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（ 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

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