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

   

2016-08~2018-06,深圳市商汤科技有限公司, 高级研究经理

深度学习与计算机视觉

   

（1） NTIRE 2019 Challenge on Real Image Super Resolution, 一等奖, 其他, 2019
（2） NTIRE 2019 Challenge on Video Super Resolution, 一等奖, 其他, 2019
（3） NTIRE 2019 Challenge on Video Deblurring, 一等奖, 其他, 2019
（4） NTIRE 2018 Challenge on Single Image Super Resolution, 二等奖, 其他, 2018
（5） PIRM 2018 on Perceptual SR Challenge, 一等奖, 其他, 2018
（6） NTIRE 2017 Challenge on Single Image Super Resolution, 二等奖, 其他, 2017

（ 1 ） 用于为低分辨率图像提供超分辨率的设备和方法, 发明, 2018, 第 2 作者, 专利号: 201480082564.2
（ 2 ） 一种降低有损压缩图像的压缩失真的方法及装置, 发明, 2018, 第 2 作者, 专利号: 201580075726.4

   

[1] 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.

[2] Gu, Jinjin, Dong, Chao. Interpreting Super-Resolution Networks with Local Attribution Maps. 2021, 
[3] 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.

[4] 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.

[5] Cai, Haoming, He, Jingwen, Yu, Qiao, Dong, Chao. Toward Interactive Modulation for Photo-Realistic Image Restoration. 2021, http://arxiv.org/abs/2105.03085.

[6] 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.

[7] Zhao, Hengyuan, Kong, Xiangtao, He, Jingwen, Qiao, Yu, Dong, Chao. Efficient Image Super-Resolution Using Pixel Attention. 2020, http://arxiv.org/abs/2010.01073.

[8] 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.

[9] Liu, Yihao, Xie, Liangbin, Siyao, Li, Sun, Wenxiu, Qiao, Yu, Dong, Chao. Enhanced Quadratic Video Interpolation. 2020, http://arxiv.org/abs/2009.04642.

[10] 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.

[11] 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, 
[12] 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, 
[13] 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, 
[14] 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, 
[15] 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, 
[16] He Jingwen, Dong Chao, Qiao Yu. Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers. 2019, http://arxiv.org/abs/1904.08118.

[17] Feng Ruicheng, Gu Jinjin, Qiao Yu, Dong Chao. Suppressing Model Overfitting for Image Super-Resolution Networks. 2019, http://arxiv.org/abs/1906.04809.

[18] 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.

[19] 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, 
[20] 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, 
[21] 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, 
[22] 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, 
[23] 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.

[24] 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, 
[25] 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, 
[26] 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.

[27] 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.

   

（ 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

现指导学生

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