颜波 - 复旦大学 - 计算机科学技术学院

个人简介

颜波博士，复旦大学计算机科学技术学院教授/博士生导师、教育部长江学者、国家优秀青年科学基金获得者。现任复旦大学发展规划处副处长、计算机科学技术学院学术委员会副主任、计算机科学与技术一级学科负责人和博士后流动站站长、文化和旅游部“数字文化保护与旅游数据智能计算重点实验室”副主任、上海市图像图形学会副理事长。 1998和2001年先后获得西安交通大学信息与通信工程系学士和硕士学位，2004年获香港中文大学(The Chinese University of Hong Kong, CUHK)计算机科学与工程博士学位，2004-2006年在美国国家标准与技术研究院 (National Institute of Standards & Technology, NIST)从事博士后研究。主持的科研项目包括国家优秀青年科学基金、国家自然科学基金--广东联合重点基金／面上基金／青年基金、华为基金等多项省部级项目和企业合作项目。曾任IEEE Trans. on CSVT编委、IEEE JETCAS期刊客座编委；现任中国计算机学会多媒体专委会和计算机视觉专委会委员、中国图像图形学会理事。

研究领域

计算机视觉、模式识别、智慧医疗、科学智能

近期论文

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Guest Editorial Wen Gao, Chang Wen Chen, Ariel Shamir, and Bo Yan, “Guest Editorial: Content-Aware Visual Systems: Analysis, Streaming, and Retargeting,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol.4, no.1, pp.1-4, March 2014. Recent Publications（As Correspondence Author, 通讯作者） B. Yan, Q. Lin, W. Tan, and S. Zhou, “Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting”, 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR’2020). B. Yan, C. Ma, B. Bare, W. Tan, and S. Hoi, “Disparity-Aware Domain Adaptation in Stereo Image Restoration”, 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR’2020). W. Tan, B. Yan, C. Lin and X. Niu, “Cycle-IR: Deep Cyclic Image Retargeting”, IEEE Transactions on Multimedia, in Press. B. Yan, C. Lin. and W. Tan, “Frame and Feature-Context Video Super-Resolution.” AAAI Conference on Artificial Intelligence (AAAI 2019), 2019 B. Yan, B. Bare, C. Ma, K. Li and W. Tan, “Deep Objective Quality Assessment Driven Single Image Super-Resolution,” IEEE Transactions on Multimedia, vol. 21, no. 11, pp. 2957-2971, 2019. B. Yan, B. Bare, and W. Tan, “Naturalness-Aware Deep No-Reference Image Quality Assessment”, IEEE Transactions on Multimedia, vol. 21, no. 11, pp. 2603-2615, 2019. W. Tan, B. Yan, B. Bare, “Feature Super-resolution: Make Machine See More Clearly”, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR’2018). W. Tan, B. Yan and C. Lin, “Beyond Visual Retargeting: A Feature Retargeting Approach for Visual Recognition and Its Applications,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 11, pp. 3154-3162, Nov. 2018. B. Yan, W. Tan, K. Li, and Q. Tian, “Codebook Guided Feature-Preserving for Recognition-Oriented Image Retargeting”, IEEE Transactions on Image Processing, vol. 26, no. 5, pp. 2454-2465, May 2017. W. Tan, B. Yan, K. Li, and Q. Tian, “Image Retargeting for Preserving Robust Local Feature: Application to Mobile Visual Search”, IEEE Transactions on Multimedia, vol.18, no.1, pp.128-137, Jan. 2016. B. Yan, K. Li, X. Yang and T. Hu, “Seam Searching based Pixel Fusion for Image Retargeting”, IEEE Transactions on Circuits and Systems for Video Technology, vol.25, no.1, pp.15-23, Jan. 2015. B. Yan, B. Yuan and B. Yang, “Effective Video Retargeting with Jittery Assessment”, IEEE Transactions on Multimedia, vol. 16, no. 1, pp. 272-277, Jan. 2014. B. Yan, K. Sun and L. Liu, “Matching Area Based Seam Carving for Video Retargeting”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 2, pp. 302-310, Feb. 2013. B. Yanand K. Sun, “Joint Complexity Estimation of I-frame and P-frame for H.264/AVC Rate Control”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 5, pp. 790-798, May 2012. B. Yan and J. Zhou, “Efficient Frame Concealment for Depth Image Based 3D Video Transmission”, IEEE Transactions on Multimedia, vol. 14, no. 3, pp. 936-941, Jun. 2012. B. Yan, H. Gharavi and B. Hu, “Pixel Interlacing Based Video Transmission for Low-complexity Intra-frame Error Concealment”, IEEE Transactions on Broadcasting, vol. 57, no. 2, pp. 253-257, Jun. 2011. J. Zhou, B. Yan and H. Gharavi, “Efficient Motion Vector Interpolation for Error Concealment of H.264/AVC”, IEEE Transactions on Broadcasting，vol. 57, no. 1, pp. 75-80, Mar. 2011. B. Yan and H. Gharavi, “A Hybrid Frame Concealment Algorithm for H.264/AVC”, IEEE Transactions on Image Processing, vol. 19, no. 1, pp. 98-107, Jan. 2010.