教授 Prof.

合肥工业大学 Hefei University of Technology (HFUT)

计算机与信息学院 / 人工智能学院

School of Computer and Information / School of Artificial Interlligence

教育及工作经历 EDUCATION & WORK EXPERIENCE

2004-2008 中国科学技术大学，自动化，本科

    University of Science and Technology of China (USTC), Automation, Bachelor

2008-2013 中国科学技术大学，模式识别，博士 (导师：黄德双教授)

    University of Science and Technology of China (USTC), Pattern Recognition, PhD. (Prof. Deshuang Huang)

2013-2015 北京大学，深圳研究生院，博士后 (合作导师：高文教授)

    Peking University (PKU), Shenzhen Graduate School, PostDoctor (Prof. Wen Gao)

2016-2023 合肥工业大学，计算机与信息学院，副研究员

    Hefei University of Technology (HFUT), China, Associate Professor

2018-2025 鹏城实验室，双聘研究员 / 访问学者

    Peng Cheng Laboratory, Shenzhen, China, Part-time Researcher

2024-至今 合肥工业大学，计算机与信息学院，教授

    Hefei University of Technology (HFUT), China, Professor

研究方向 RESEARCH INTERESTS

视频图像处理 | 计算机视觉 | 模式识别

Video Image Processing | Computer Vision | Pattern Recognition

个人简介 RESUME

赵洋，男，合肥工业大学计算机与信息学院，教授，博士生导师。 2008年、2013年分别于中国科学技术大学获学士与博士学位。2013-2015年在北京大学深圳研究生院从事博士后研究。2016年-2023年任合肥工业大学计算机与信息学院副研究员。 主要研究领域为视频图像处理、计算机视觉、人工智能。近年来，在TPAMI/TIP/TCSVT/IJCV等国际期刊、会议上发表论文50余篇（其中中科院一区及CCF-A类期刊会议论文40余篇）;已授权中国及美国发明专利20余项；曾主持科研项目多项，其中国家自然科学基金项目3项。学术服务方面，任中国图象图形学学会青工委副秘书长，中国人工智能学会模式识别专业委员会委员，中国计算机学会计算机视觉专业委员会委员，视觉与学习青年研讨会执行委员；中国图象图形学报青年编委，TVC国际期刊编委；为多个国际期刊和会议审稿，CVPR等多个期刊和会议的优秀审稿人，曾任多个学术会议主席或程序委员会成员；课题组多项算法被海信、创维、咪咕、优微视觉等相关企业应用。

个人主页：https://zyknight.github.io/

Yang Zhao, male, is a Professor and Doctoral Supervisor at the School of Computer and Information, Hefei University of Technology. He received his Bachelor’s degree in 2008 and Ph.D. degree in 2013 from University of Science and Technology of China. From 2013 to 2015, he conducted postdoctoral research at Peking Univeristy Shenzhen Graduate School. He served as an Associate Professor at the School of Computer and Information, Hefei University of Technology, from 2016 to 2023, and has been a Professor since 2023.12.

His primary research areas include video/image processing, computer vision, and artificial intelligence. In recent years, he has published over 50 papers in top-tier international journals and conferences such as TPAMI, TIP, TCSVT, and IJCV, and holds more than 20 authorized Chinese and U.S. patents. He has led multiple research projects, including three National Natural Science Foundation of China (NSFC) grants.

In terms of academic service, he serves as: Deputy Secretary-General of the Youth Working Committee, China Society of Image and Graphics (CSIG); Committee Member of the Pattern Recognition Professional Committee, Chinese Association for Artificial Intelligence (CAAI); Committee Member of the Computer Vision Professional Committee, China Computer Federation (CCF);Executive Area Chair of the Vision and Learning Young Scholars (VALSE) Workshop; Youth Editorial Board Member of the Journal of Image and Graphics; Associated Editor of The Visual Computer journal; Additionally, he has served as a reviewer for multiple international journals and conferences, earning recognition as a CVPR Outstanding Reviewer and other prestigious venues. He has also chaired or served on the program committees of several academic conferences. His research group’s algorithms have been adopted by leading enterprises such as Hisense, Migu and Skyworth.

English CV

科研项目 RESEARCH PROJECTS

  • 稀疏多视角视频视觉质量联合增强关键技术研究, 62272142, 国家自然科学基金面上项目，主持，在研，2023/01-2026/12.

  • 全4K视频视觉质量增强关键技术研究, 61972129, 国家自然科学基金面上项目，主持，已结题，2020/01-2023/12.

  • 基于局部纹理特征的图像细节超分辨率技术研究, 61402018, 国家自然科学基金青年基金, 主持，已结题, 2015/01-2017/12.

  • 热贡艺术元素智能提取与生成关键技术研究及应用, 2021-GX-111, 青海省重点研发与转化计划课题，主持，在研, 2021/01-2024/12.

  • 基于局部模式的图像细节超分辨率技术研究, 2014M550016, 中国博士后科学基金面上资助, 主持，已结题, 2014/05-2015/12.

  • 面向超高清显示的视频增强关键技术研究，合肥工业大学优秀青年人才培育A计划, 主持，已结题，2022/04-2024/12.

  • 基于深度学习的图像超分辨率技术研究, 合肥工业大学学术新人提升B计划, 主持，已结题, 2017/01-2018/12.

  • 面向VR实景采集的GPU实时拼接技术, 合肥工业大学应用科技成果培育计划, 主持，已结题, 2017/01-2018/12.

  • 大遗址文化内涵叙事化展示与交互技术研发，2020YFC1523100，国家重点研发计划项目，已结题，参与，2021/01-2024.04.

  • 面向集成成像的虚拟视点合成与真三维电视系统先导验证，国家科技部863计划课题，已结题，参与，2015/01-2017/12.

  • 基于轻量模型的立体视频转换生成与编码技术研究, 61370115，国家自然科学基金面上项目, 已结题，参与， 2014/01-2017/12.

部分发表论文 SELECTED PUBLICATIONS

  • F. Fan, Y. Zhao*, Y. Chen, N. Li, W. Jia, R. Wang, Local Texture Pattern Estimation for Image Detail Super-Resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. code

  • J. Jin, C. Zhao, R. Zhang, S. Shang, J. Xu, J. Zhang, S. Wang, Y. Zhao, S. Ding, W. Jia, Y. Wu, Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

  • P. Zhao, J. Zhou, Y. Zhao, D. Guo, Y. Chen, Multimodal Class-aware Semantic Enhancement Network for Audio-Visual Video Parsing, AAAI Conference on Artificial Intelligence (AAAI), 2025.

  • S. Shang, C. Zhao, R. Zhang, J. Jin, J. Zhang, R. Guo, S. Ding, Y. Wu, Y. Zhao, W. Jia, PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks, AAAI Conference on Artificial Intelligence (AAAI), 2025.

  • X. Yang, X. Chen, Y. Chen*, Y. Zhao, No-Reference Quality Assessment for Cartoon-Like Videos, IEEE International Conference on Multimedia and Expo (ICME), 2025.

  • S. Diao, Y. Zhao*, Y. Chen, W. Jia, R. Wang, Lightweight Multiplane Images Network for Real-Time Stereoscopic Conversion from Planar Video, IEEE International Conference on Multimedia and Expo (ICME), 2025.

  • C. Ding, Z. Zhao, Y. Zhao, PsSR: Hybrid Path Selection Mechanism for Efficient Image Super-Resolution, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.

  • Y. Wei, Z. Zhang, Z. Zhao, Y. Zhao, R. Hong, Y. Yang, M. Wang, High-Fidelity Stereoscopic Image Rain Removal with Texture Integrity and Disparity Consistency, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.

  • Y. Zhao, H. Li, Z. Zhang, Y. Chen, Q. Liu, X. Zhang, Regional Traditional Painting Generation Based on Hierarchical and Controllable Disentanglement Model, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 34, no. 8, pp.6913-6925, 2024.

  • P. Duan, Y. Zhao*, Y. Chen, W. Jia, Z. Zhang, R. Wang, Blind Video Bit-Depth Expansion, ACM International Conference on Multimedia (ACM MM), 2024, pp. 1-9.

  • S. Diao, Y. Zhao*, Y. Chen, W. Jia, Z. Zhang, R. Wang, Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images, AAAI Conference on Artificial Intelligence (AAAI), 2024, pp.1519-1527.

  • J. Jin, L. Shen, R. Zhang, C. Zhao, G. Jin, J. Zhang,S. Ding, Y. Zhao*, W. Jia*, PCE-Palm: Palm Crease Energy based Two-stage Realistic Pseudo-palmprint Generation, AAAI Conference on Artificial Intelligence (AAAI), 2024.

  • Y. Ye, N. Zhang, Y. Zhao, H. Cao, R. Wang, “Deep Video Inverse Tone Mapping Based on Temporal Clues”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

  • J. Wang, Y. Wei, Z. Zhang*, J. Fan, Y. Zhao*, Y. Yang, M. Wang, Progressive Stereo Image Dehazing Network via Cross-view Region Interaction, IEEE Transactions on Multimedia (TMM), vol. 26, pp. 7490-7502, 2024.

  • X. Liu, Y. Zhao*, K. Chi, Z. Zhang, Y. Chen, W. Jia, Toward Individual Tone Preference in Underwater Image Enhancement, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 62, pp. 1-11, 2024.

  • P. Pan, Y. Zhao*, Y. Chen, W. Jia, Z. Zhang, R. Wang, Cross-view Resolution and Frame Rate Joint Enhancement for Binocular Video, ACM International Conference on Multimedia (ACM MM), 2023.

  • S. Guo, Z. Chen, Y. Zhao, N. Zhang, X. Li, L. Duan, Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach, ACM International Conference on Multimedia (ACM MM), 2023.

  • B. Li, H. Zheng, Z. Zhang*, Y. Zhao*, Z. Zhao, H. Zhang, Dynamic Grouped Interaction Network for Low-Light Stereo Image Enhancement, ACM International Conference on Multimedia (ACM MM), 2023, pp. 2468-2476.

  • L. Shen, J. Jin, R. Zhang, H. Li, Y. Zhang, J. Zhang, S. Ding, Y. Zhao*, W. Jia, RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition, International Conference on Computer Vision (ICCV), 2023.

  • N. Zhang, Y. Ye, Y. Zhao, R. Wang, Revisiting the Stack-Based Inverse Tone Mapping, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • H. Min, Y. Zhang, Y. Zhao*, W. Jia, Y. Lei, C. Fan, Hybrid Feature Enhancement Network for Few-Shot Semantic Segmentation, Pattern Recognition (PR), 2023.

  • Y. Zhao, W. Jia, Y. Chen, R. Wang, Fast Blind Decontouring Network, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol.33, no.2, pp.478-490, 2023.

  • Y. Zhao, Y. Ma, Y. Chen, W. Jia, R. Wang, X. Liu, Multi-frame Joint Enhancement for Early Interlaced Videos, IEEE Transactions on Image Processing (TIP), vol.31, pp.6282-6294, 2022. (Ranked 1st in the MSU Deinterlacer Benchmark)

  • Y. Zhao, W. Jia, R. Wang, Rethinking Deinterlacing for Early Interlaced Videos, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol.32, no. 7, pp.4872-4878, 2022.

  • Y. Zhao, D. Ren, Y. Chen, W. Jia, R. Wang, X. Liu, Cartoon Image Processing: A Survey, International Journal of Computer Vision (IJCV), vol.130, pp.2733-2769, 2022.

  • Y. Chen, P. Zhao, M. Qi, Y. Zhao*, W. Jia, R. Wang, Audio Matters in Video Super-Resolution by Implicit Semantic Guidance, IEEE Transactions on Multimedia (TMM), vol.24, pp. 4128-4142, 2022.

  • N. Zhang, Y. Zhao, C. Wang, R. Wang, A Real-Time Semi-Supervised Deep Tone Mapping Network, IEEE Transactions on Multimedia (TMM), vol. 24, pp. 2815-2827, 2022.

  • D. Hou, Y. Du, K. Zhao, Y. Zhao*, Learning an Efficient Multimodal Depth Completion Model, European Conference on Computer Vision (ECCV) workshop, 2022. (Invited Paper, Champion in the MIPI2022 depth completion challenge)

  • N. Zhang, Y. Ye, Y. Zhao, R. Wang, Fast and Flexible Deep Stack-based Inverse Tone Mapping, CAAI Transactions on Intelligence Technology, 2022.

  • Y. Zhao, R. Wang, Y. Chen, W. Jia, X. Liu, W. Gao, Lighter but Efficient Bit-Depth Expansion Network, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 31, no. 5, pp. 2063-2069, 2021.

  • Y. Chen, Y. Zhao, L. Cao, W. Jia, X. Liu, Learning Deep Blind Quality Assessment for Cartoon Images, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2021.3127720, 2021.

  • W. Jia, W. Xia, B. Zhang, Y. Zhao, L. Fei, W. Kang, A Survey on Dorsal Hand Vein Biometrics, Pattern Recognition (PR), vol. 120, pp.108-122, 2021.

  • W. Jia, Q. Ren, Y. Zhao, S. Li, H. Min, Y. Chen, EEPNet: An efficient and effective convolutional neural network for palmprint recognition, Pattern Recognit. Lett., vol. 159, pp. 140-149, 2022.

  • W. Jia, W. Xia, Y. Zhao, H. Min, Y. Chen, 2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search, Int. J. Autom. Comput., vol. 18, no. 3, pp.377-409, 2021.

  • W. Jia, J. Gao, W. Xia, Y. Zhao, H. Min, J. Lu, A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition, Int. J. Autom. Comput., vol. 18, no. 1, pp.18-44, 2021.

  • Y. Chen, Y. Zhao, W. Jia, L. Cao, X. Liu, Adversarial-Learning-Based Image-to-Image Transformation A Survey, Neurocomputing, vol. 411, pp.468-486, 2020.

  • Y. Zhao, R. Wang, W. Jia, W. Zuo, X. Liu, W. Gao, Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion, IEEE Transactions on Image Processing (TIP), vol. 28, no. 6, pp. 2847-2859, 2019.

  • Y. Chen, Y. Zhao, S. Li, W. Zuo, W. Jia, X. Liu, Blind Quality Assessment for Cartoon Images, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Accept, 2019.

  • W. Jia, Y. Zhao*, R. Wang, S. Li, H. Min, X. Liu, Are Recent SISR Techniques Suitable for IndustrialApplications at Low Magnification, IEEE Transactions on Industrial Electronics (TIE), vol.66, no. 12, pp.9828-9836, 2019.

  • Y. Zhao, R. Wang, W. Jia, J. Yang, W. Wang , W. Gao, Local patch encoding-based method for single image super-resolution, Information Sciences (INS), vol.433, pp.292-305, 2018.

  • H. Min, W. Jia, Y. Zhao, W. Zuo, H. Ling, Y. Luo, LATE A Level Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images, IEEE Transactions on Image Processing (TIP), vol.27, no.10, pp.5016-5031, 2018.

  • H. Min, W. Jia, X. Wang, Y. Zhao, Y. Luo, A polynomial piecewise constant approximation method based on dual constraint relaxation for segmenting images with intensity inhomogeneity, Pattern Recognition (PR), vol. 73, pp. 15-32, 2018.

  • H. Min, J. Lu, W. Jia, Y. Zhao, Y. Luo, An effective local regional model based on salient fitting for image segmentation, Neurocomputing, vol.311, pp.245-259, 2018.

  • Y. Zhao, R. Wang, W. Jia, W. Wang, W. Gao, Iterative projection reconstruction for fast and efficient image upsampling, Neurocomputing，vol.226, pp.200-211, 2017.

  • W. Jia, Zhang, J. Lu, Y. Zhu, Y. Zhao, Based on Complete Direction Representation, IEEE Transactions on Image Processing (TIP), vol.26, pp. 4483-4498, 2017.

  • Y. Zhao, R. Wang, W. Wang, W. Gao, Multilevel modified finite radon transform network for image upsampling, IEEE Transactions on Circuits and System for Video Technology (TCSVT), vol. 26, no.12, pp. 2189-2199, 2016.

  • Y. Zhao, R. Wang, W. Wang, W. Gao, High resolution local structure constrained image upsampling, IEEE Transactions on Image Processing (TIP), vol.24, no.11, pp.4394-4407, Nov. 2015.

  • H. Min, W. Jia, X. Wang, R. Hu, Y. Zhao, et al., An Intensity Texture model based level set method for image segmentation, Pattern Recognition (PR), vol. 48, pp. 1547-1562, 2015.

  • W. Jia, R. Hu, Y. Lei, Y. Zhao, J. Gui, Histogram of oriented lines for palmprint recognition, IEEE Transactions on Systems, Man, and Cybernetics Systems (TSMC), vol.44, no.3, pp. 385-395, 2014.

  • Y. Zhao, W. Jia, R. Hu, H. Min, Completed robust local binary pattern for texture classification, Neurocomputing, vol. 106, no.15, pp. 68-76, 2013.

  • Y. Zhao, D. Huang, W. Jia, Completed local binary count for rotation invariant texture classification, IEEE Transaction on Image Processing (TIP), vol.21, pp. 4492-4497, 2012.

  • R. Hu, W. Jia, Y. Zhao, J. Gui, Perceptually motivated morphological strategies for shape retrieval, Pattern Recognition (PR), vol. 45, pp. 3222-3230, 2012.

  • H. Zhang, Y. Zhao, R. Wang, A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation, European Conference on Computer Vision (ECCV), 2020.

  • X. Liu, Y. Zhao, Y. Chen, W. Jia, R. Wang, X. Liu, Estimated Exposure Guided Reconstruction Model for Low-Light Image Enhancement, Chinese Conference on Pattern Recognition and Computer Vision, 2020.

  • N. Zhang, R. Wang, Y. Zhao, Deep tone mapping network in HSV color space, VCIP, 2019.

  • Y. Zhou, R. Wang, Y. Zhao, A night-time outdoor data set for low-light enhancement, VCIP, pp.507-510, 2020.

  • Z. Guo, Y. Ye, Y. Zhao, R. Wang, An Acceleration Framework for Super-Resolution Network via Region Difficulty Self-adaption, MMM, pp.666-677, 2021.

专利授权 PATENTS

  • 赵洋, 王荣刚, 王振宇, 高文, 王文敏, 董胜富, 黄铁军, 马思伟. 一种基于分类字典库的超分辨率图像重构方法及装置: 中国, ZL201410230714.1, 2014.

  • 赵洋, 王荣刚, 王振宇, 高文, 王文敏, 董胜富, 黄铁军, 马思伟，一种快速超分辨率图像重建方法和装置: 中国, ZL201410230840.7, 2014.

  • 王荣刚, 赵洋, 王振宇, 高文, 王文敏, 董胜富, 黄铁军, 马思伟. 一种基于字典库的视频编解码方法及装置: 中国，ZL201410231054.9，2014.

  • 王荣刚, 赵洋, 王振宇, 高文, 王文敏, 董胜富, 黄铁军, 马思伟. 一种基于图像超分辨率的视频编解码方法及装置: 中国, ZL201410230514.6, 2014.

  • 赵洋, 王荣刚, 高文, 王振宇, 王文敏. 基于混合框架的图像位深度扩展方法及装置: 中国, ZL201710717259.1, 2017.

  • 赵洋，王荣刚，高文，王振宇，王文敏, 一种基于字典匹配的图像超分辨率重建方法及装置: 中国, ZL201510741060.3, 2015.

  • 赵洋，陈缘，贾伟，李书杰，曹明伟，李琳，刘晓平，一种卡通图像质量盲评估方法及装置: 中国，ZL201810231457.1，2018.

  • 赵洋，李国庆，贾伟，陈缘，李书杰，曹明伟，李琳，刘晓平, 一种基于先验滤波器的轻量化网络构建方法及装置: 中国, ZL201810703659.1, 2018.

  • 刘晓平, 陈缘, 赵洋, 曹力, 李琳. 一种卡通视频重制方法及系统:中国, ZL202011386058.6, 2020-12.

  • 刘晓平，陈缘，赵洋，贾伟，李书杰，曹明伟，李琳. 一种动画视频自动生成方法及其装置: 中国，ZL201910248746.7，2019-03.

  • 陈缘，赵洋，曹力，李琳，谢文军，刘晓平，一种有限色彩空间下的线稿自动上色模型训练方法、装置、电子设备及存储介质：中国，ZL202210084599.6.

  • 赵洋，马彦博，曹力，贾伟，李琳，刘晓平，一种视频处理方法及系统：中国，ZL202011611610.7, 2020.12.

  • 赵洋，任迪雅，曹力，贾伟，李琳，刘晓平，基于注意力双流深度网络的低质量图像降采样方法及其系统：中国，ZL202010103973.3.

  • Y. Zhao, R. Wang, Z. Wang, W. Gao, Hybrid framework-based image bit-depth expansion method and device, US-2020-0364833 A1, 2020.11.19.

  • R. Wang，Y. Zhao，Z. Wang，W. Gao，W. Wang，S. Dong，T. Huang，S., Method and device for video encoding or decoding based on image super-resolution, US9986255B2.

  • Y. Zhao, R. Wang, Wen Gao, Zhenyu Wang, Wenmin Wang, Method and device for super-resolution image reconstruction based on dictionary matching, US10339633B2.

教学及其他 TEACHING AND OTHERS

  • 王荣刚, 王振宇, 赵洋, 高文, 吴伟. 超高清视频高效实时编码与重建关键技术, 深圳市, 深圳市科学技术奖, 技术发明一等奖, 2020

  • 互联网+创新创业大赛国赛银奖(2021)、省赛金奖(2019)，挑战杯创新创业大赛省赛银奖(2022)，等

  • 安徽省教学成果奖一等奖

Simple things are the best things

  yzhao@hfut.edu.cn

  zhaoyang@pkusz.edu.cn