马思伟

2020年度国家技术发明奖一等奖获得者

马思伟

马思伟,男,博士,北京大学教授,主要从事智能视频编码的研究[0]。2021年11月,马思伟荣获2020年度国家技术发明奖一等奖。[1]2022年9月,荣获2022年“科学探索奖”。[2]

马思伟,男,博士,北京大学教授,主要从事智能视频编码的研究[1]。2021年11月,马思伟荣获2020年度国家技术发明奖一等奖[2]

2022年9月,荣获2022年“科学探索奖”。[3]

人物经历

2005年博士毕业于中国科学院计算技术研究所。2005年8月至2007年8月在美国南加州大学进行博士后研究,之后到北大工作至今。2013年获国家自然科学基金委优青项目资助,2015年入选中组部第二批青年拔尖人才计划。

科研成就

视频编码及处理超高清视频编码、三维视频编码、视觉编码

科研论文

已发表SCI论文40余篇,合作出版专著2项,已获授权发明专利40多项。承担过国家自然科学基金、863计划、科技支撑等多项国家级课题。

发表论文

2016

J. Mu, X. Zhang, R. Xiong, S. Ma, and W. Gao, “Adaptive multi-dimension sparsity based coefficient estimation for compression artifact reduction,” inIEEE International Conference on Multimedia and Expo, ICME 2016, Seattle, WA, USA, July 11-15, 2016, 2016, pp. 1–6

X. Zhang, et al., “Globally Variance-Constrained Sparse Representation for Image Set Compression,”CoRR, vol. abs/1608.04902, 2016.

F. Luo, S. Wang, N. Zhang, S. Ma, and W. Gao, “GPU based sample adaptive offset parameter decision and perceptual optimization for HEVC,” inIEEE International Symposium on Circuits and Systems, ISCAS 2016, Montréal, QC, Canada, May 22-25, 2016, 2016, pp. 2687–2690.

L. Xie, X. Zhang, S. Wang, X. Zhang, and S. Ma, “Quality assessment of tone-mapped images based on sparse representation,” inIEEE International Symposium on Circuits and Systems, ISCAS 2016, Montréal, QC, Canada, May 22-25, 2016, 2016, pp. 2218–2221.

Y. Li, Y. Wang, S. Wang, and S. Ma, “An adaptative bitrate algorithm for DASH,” in2016 IEEE International Conference on Multimedia & Expo Workshops, ICME Workshops 2016, Seattle, WA, USA, July 11-15, 2016, 2016, pp. 1–4.

K. Gu, et al., “Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure,”IEEE Trans. Multimedia, vol. 18, pp. 432–443, 2016.

J. Zhang, R. Xiong, C. Zhao, Y. Zhang, S. Ma, and W. Gao, “CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking,”IEEE Trans. Image Processing, vol. 25, pp. 1246–1259, 2016.

K. Gu, S. Wang, G. Zhai, S. Ma, X. Yang, and W. Zhang, “Content-weighted mean-squared error for quality assessment of compressed images,”Signal, Image and Video Processing, vol. 10, pp. 803–810, 2016.

S. Wang, K. Gu, S. Ma, W. Lin, X. Liu, and W. Gao, “Guided Image Contrast Enhancement Based on Retrieved Images in Cloud,”IEEE Trans. Multimedia, vol. 18, pp. 219–232, 2016.

S. Wang, K. Gu, S. Ma, and W. Gao, “Joint Chroma Downsampling and Upsampling for Screen Content Image,”IEEE Trans. Circuits Syst. Video Techn., vol. 26, pp. 1595–1609, 2016.

S. Wang, L. Ma, Y. Fang, W. Lin, S. Ma, and W. Gao, “Just Noticeable Difference Estimation for Screen Content Images,”IEEE Trans. Image Processing, vol. 25, pp. 3838–3851, 2016.

S. Wang, et al., “Low complexity encoder optimization for HEVC,”J. Visual Communication and Image Representation, vol. 35, pp. 120–131, 2016.

X. Zhang, W. Lin, R. Xiong, X. Liu, S. Ma, and W. Gao, “Low-Rank Decomposition-Based Restoration of Compressed Images via Adaptive Noise Estimation,”IEEE Trans. Image Processing, vol. 25, pp. 4158–4171, 2016.

S. Ma, X. Zhang, J. Zhang, C. Jia, S. Wang, and W. Gao, “Nonlocal In-Loop Filter: The Way Toward Next-Generation Video Coding?,”IEEE MultiMedia, vol. 23, pp. 16–26, 2016.

Z. Wang, J. Ma, F. Luo, and S. Ma, “Adaptive motion vector resolution prediction in block-based video coding,” in2015 Visual Communications and Image Processing, VCIP 2015, Singapore, December 13-16, 2015, 2015, pp. 1–4.

C. Zhao, J. Zhang, S. Ma, R. Xiong, and W. Gao, “A dual structured-sparsity model for compressive-sensed video reconstruction,” in2015 Visual Communications and Image Processing, VCIP 2015, Singapore, December 13-16, 2015, 2015, pp. 1–4.

J. Cui, S. Wang, N. Zhang, and S. Ma, “An optimized probability estimation model for binary arithmetic coding,” in2015 Visual Communications and Image Processing, VCIP 2015, Singapore, December 13-16, 2015, 2015, pp. 1–4.

J. Ma, F. Luo, S. Wang, N. Zhang, and S. Ma, “Parallel intra coding for HEVC on CPU plus GPU platform,” in2015 Visual Communications and Image Processing, VCIP 2015, Singapore, December 13-16, 2015, 2015, pp. 1–4.

X. Zhang, W. Lin, S. Ma, S. Wang, and W. Gao, “Rate-distortion based sparse coding for image set compression,” in2015 Visual Communications and Image Processing, VCIP 2015, Singapore, December 13-16, 2015, 2015, pp. 1–4.

Q. Song, R. Xiong, X. Zhang, S. Ma, and W. Gao, “Registration of under-sampled images via higher resolution spectrum restoration,” in2015 Visual Communications and Image Processing, VCIP 2015, Singapore, December 13-16, 2015, 2015, pp. 1–4.

Q. Song, R. Xiong, X. Fan, S. Ma, and W. Gao, “Registration-reliability based strategy to enhance multi-frame super-resolution algorithms,” in2015 Visual Communications and Image Processing, VCIP 2015, Singapore, December 13-16, 2015, 2015, pp. 1–4.

X. Zhang, S. Wang, K. Gu, T. Jiang, S. Ma, and W. Gao, “Sparse Structural Similarity for Objective Image Quality Assessment,” in2015 IEEE International Conference on Systems, Man, and Cybernetics, Kowloon Tong, Hong Kong, October 9-12, 2015, 2015, pp. 1561–1566

J. Fan, et al., “Adaptive boundary dependent transform optimization for HEVC,” in2015 Picture Coding Symposium, PCS 2015, Cairns, Australia, May 31 - June 3, 2015, 2015, pp. 149–153.

Q. Song, R. Xiong, S. Ma, X. Fan, and W. Gao, “High accuracy sub-pixel image registration under noisy condition,” in2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, May 24-27, 2015, 2015, pp. 1674–1677.

S. Shi, R. Xiong, S. Ma, X. Fan, and W. Gao, “Image compressive sensing using overlapped block projection and reconstruction,” in2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, May 24-27, 2015, 2015, pp. 1670–1673.

S. Di, Z. Zhang, S. Wang, N. Zhang, and S. Ma, “Image guided label map propagation in video sequences,” in2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, May 24-27, 2015, 2015, pp. 2820–2823.

X. Zhang, W. Lin, S. Wang, and S. Ma, “Nonlocal Adaptive In-Loop Filter via Content-Dependent Soft-Thresholding for HEVC,” in2015 IEEE International Symposium on Multimedia, ISM 2015, Miami, FL, USA, December 14-16, 2015, 2015, pp. 465–470

J. Zhang, C. Jia, S. Ma, and W. Gao, “Non-Local Structure-Based Filter for Video Coding,” in2015 IEEE International Symposium on Multimedia, ISM 2015, Miami, FL, USA, December 14-16, 2015, 2015, pp. 301–306.

X. Zhang, S. Wang, S. Ma, and W. Gao, “A study on interest point guided visual saliency,” in2015 Picture Coding Symposium, PCS 2015, Cairns, Australia, May 31 - June 3, 2015, 2015, pp. 307–311.

S. Shi, X. Zhang, S. Wang, R. Xiong, and S. Ma, “Study on subjective quality assessment of Screen Content Images,” in2015 Picture Coding Symposium, PCS 2015, Cairns, Australia, May 31 - June 3, 2015, 2015, pp. 75–79.

S. Tan, S. Ma, S. Wang, and W. Gao, “Synthesized Views Distortion Model Based Rate Control in 3D-HEVC,” inAdvances in Multimedia Information Processing - PCM 2015 - 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings, Part II, 2015, pp. 24–32.

C. Zhao, S. Ma, and W. Gao, “Thousand to one: An image compression system via cloud search,” in17th IEEE International Workshop on Multimedia Signal Processing, MMSP 2015, Xiamen, China, October 19-21, 2015, 2015, pp. 1–5.

J. Mu, R. Xiong, X. Fan, and S. Ma, “Compression artifact reduction for low bit-rate images based on non-local similarity and across-resolution coherence,” in2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, May 24-27, 2015, 2015, pp. 129–132.

Z. Huang, L. - Y. Duan, J. Lin, S. Wang, S. Ma, and T. Huang, “An efficient coding framework for compact descriptors extracted from video sequence,” in2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015, 2015, pp. 3822–3826

X. Zhang, S. Wang, S. Wang, S. Ma, and W. Gao, “Feature-matching based motion prediction for high efficiency video coding in cloud,” in2015 IEEE International Conference on Multimedia & Expo Workshops, ICME Workshops 2015, Turin, Italy, June 29 - July 3, 2015, 2015, pp. 1–6.

J. Zhang, S. Ma, Y. Zhang, and W. Gao, “Image deblocking using group-based sparse representation and quantization constraint prior,” in2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015, 2015, pp. 306–310.

J. Fan, S. Wang, S. Wang, R. Xiong, and S. Ma, “Inter-frame Correlation Based Quantization Parameter Offset Optimization for Screen Content Video Coding,” in2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, Beijing, China, April 20-22, 2015, 2015, pp. 420–423.

X. Zhang, Y. Zhang, W. Lin, S. Ma, and W. Gao, “An inter-image redundancy measure for image set compression,” in2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, May 24-27, 2015, 2015, pp. 1274–1277

F. Luo, S. Ma, J. Ma, H. Qi, L. Su, and W. Gao, “Multiple layer parallel motion estimation on GPU for High Efficiency Video Coding (HEVC),” in2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, May 24-27, 2015, 2015, pp. 1122–1125.

K. Gu, S. Wang, G. Zhai, S. Ma, and W. Lin, “Screen image quality assessment incorporating structural degradation measurement,” in2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, May 24-27, 2015, 2015, pp. 125–128.

S. Ma, T. Huang, and W. Gao, “The second generation IEEE 1857 video coding standard,” inIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015, Chengdu, China, July 12-15, 2015, 2015, pp. 171–175.

X. Zhang, S. Wang, S. Ma, R. Xiong, and W. Gao, “Towards accurate visual information estimation with Entropy of Primitive,” in2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, May 24-27, 2015, 2015, pp. 1046–1049

S. Ma, T. Huang, C. Reader, and W. Gao, “AVS2 ? Making Video Coding Smarter [Standards in a Nutshell],”IEEE Signal Process. Mag., vol. 32, pp. 172–183, 2015.

S. Wang, K. Gu, S. Ma, W. Lin, X. Zhang, and W. Gao, “Cloud Based Image Contrast Enhancement,” in2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, Beijing, China, April 20-22, 2015, 2015, pp. 148–155.

X. Zhang, W. Lin, J. Liu, and S. Ma, “Compression noise estimation and reduction via patch clustering,” inAsia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2015, Hong Kong, December 16-19, 2015, 2015, pp. 715–718.

X. Zhang, S. Wang, S. Ma, and W. Gao, “Towards Accurate and Efficient Image Quality Assessment with Interest Points,” in2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, Beijing, China, April 20-22, 2015, 2015, pp. 164–170.

X. Zhang, R. Xiong, W. Lin, S. Ma, J. Liu, and W. Gao, “Video Compression Artifact Reduction via Spatio-Temporal Multi-Hypothesis Prediction,”IEEE Trans. Image Processing, vol. 24, pp. 6048–6061, 2015.

X. Zhang, R. Xiong, S. Ma, G. Li, and W. Gao, “Video super-resolution with registration-reliability regulation and adaptive total variation,”J. Visual Communication and Image Representation, vol. 30, pp. 181–190, 2015.

2014

S. Tan, J. Si, S. Ma, S. Wang, and W. Gao, “Adaptive frame level rate control in 3D-HEVC,” in2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014, Valletta, Malta, December 7-10, 2014, 2014, pp. 382–385.

S. Wang, S. Ma, X. Jiang, J. Fan, D. Zhao, and W. Gao, “A fast intra optimization algorithm for HEVC,” in2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014, Valletta, Malta, December 7-10, 2014, 2014, pp. 241–244.

J. Ma, F. Luo, S. Wang, and S. Ma, “Flexible CTU-level parallel motion estimation by CPU and GPU pipeline for HEVC,” in2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014, Valletta, Malta, December 7-10, 2014, 2014, pp. 282–285.

J. Zhang, D. Zhao, R. Xiong, S. Ma, and W. Gao, “Image Restoration Using Joint Statistical Modeling in Space-Transform Domain,”CoRR, vol. abs/1405.3173, 2014.

L. Chen, et al., “Low-cost multi-hypothesis motion compensation for video coding,” inVisual Information Processing and Communication V, San Francisco, California, USA, February 5-6, 2014, 2014, pp. 902903.

C. Zhao, S. Ma, and W. Gao, “Video compressive sensing via structured Laplacian modelling,” in2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014, Valletta, Malta, December 7-10, 2014, 2014, pp. 402–405.

L. Ma, H. Qi, S. Zhu, and S. Ma, “A fast background model based surveillance video coding in HEVC,” in2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014, Valletta, Malta, December 7-10, 2014, 2014, pp. 237–240.

X. Jiang, Q. Yu, K. Zhang, S. Ma, H. Qi, and S. Lei, “A flexible reference picture management scheme,” in2013 IEEE International Conference on Multimedia and Expo Workshops, Chengdu, China, July 14-18, 2014, 2014, pp. 1–6.

H. Liu, R. Xiong, S. Ma, X. Fan, and W. Gao, “Gradient based image transmission and reconstruction using non-local gradient sparsity regularization,” inIEEE International Conference on Multimedia and Expo, ICME 2014, Chengdu, China, July 14-18, 2014, 2014, pp. 1–6.

H. Liu, R. Xiong, S. Ma, X. Fan, and W. Gao, “Gradient based image/video softcast with grouped-patch collaborative reconstruction,” in2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014, Valletta, Malta, December 7-10, 2014, 2014, pp. 141–144.

C. Zhao, S. Ma, and W. Gao, “Image compressive-sensing recovery using structured laplacian sparsity in DCT domain and multi-hypothesis prediction,” inIEEE International Conference on Multimedia and Expo, ICME 2014, Chengdu, China, July 14-18, 2014, 2014, pp. 1–6.

Z. Song, R. Xiong, S. Ma, X. Fan, and W. Gao, “Layered image/video softcast with hybrid digital-analog transmission for robust wireless visual communication,” inIEEE International Conference on Multimedia and Expo, ICME 2014, Chengdu, China, July 14-18, 2014, 2014, pp. 1–6.

H. Liu, R. Xiong, S. Ma, X. Fan, and W. Gao, “Non-local extension of total variation regularization for image restoration,” inIEEE International Symposium on Circuits and Systemss, ISCAS 2014, Melbourne, Victoria, Australia, June 1-5, 2014, 2014, pp. 1102–1105

Q. Yu, Y. Chen, L. Zhang, and S. Ma, “Sample edge offset compensation for HEVC based 3D Video Coding,” in2013 IEEE International Conference on Multimedia and Expo Workshops, Chengdu, China, July 14-18, 2014, 2014, pp. 1–6.

L. Chen, R. Wang, and S. Ma, “Tagged multi-hypothesis motion compensation scheme for video coding,” in2014 IEEE Visual Communications and Image Processing Conference, VCIP 2014, Valletta, Malta, December 7-10, 2014, 2014, pp. 117–120.

Z. Song, R. Xiong, X. Fan, S. Ma, and W. Gao, “Transform domain energy modeling of natural images for wireless SoftCast optimization,” inIEEE International Symposium on Circuits and Systemss, ISCAS 2014, Melbourne, Victoria, Australia, June 1-5, 2014, 2014, pp. 1114–1117.

X. Zhang, R. Xiong, S. Ma, and W. Gao, “Artifact reduction of compressed video via three-dimensional adaptive estimation of transform coefficients,” in2014 IEEE International Conference on Image Processing, ICIP 2014, Paris, France, October 27-30, 2014, 2014, pp. 4567–4571

Z. He, L. Yu, X. Zheng, and S. Ma, “AVS2-video coding standard - An application-oriented and high perforamce video coding standard,” in2013 IEEE International Conference on Multimedia and Expo Workshops, Chengdu, China, July 14-18, 2014, 2014, pp. 1–5.

Y. Wang, X. Fan, L. Zhao, S. Ma, D. Zhao, and W. Gao, “A fast intra coding algorithm for HEVC,” in2014 IEEE International Conference on Image Processing, ICIP 2014, Paris, France, October 27-30, 2014, 2014, pp. 4117–4121.

L. Zhao, X. Fan, S. Ma, and D. Zhao, “Fast intra-encoding algorithm for High Efficiency Video Coding,”Sig. Proc.: Image Comm., vol. 29, pp. 935–944, 2014.

R. Xiong, H. Liu, S. Ma, X. Fan, F. Wu, and W. Gao, “G-CAST: Gradient Based Image SoftCast for Perception-Friendly Wireless Visual Communication,” inData Compression Conference, DCC 2014, Snowbird, UT, USA, 26-28 March, 2014, 2014, pp. 133–142.

Z. Song, R. Xiong, S. Ma, and W. Gao, “Hybridcast: A wireless image/video SoftCast scheme using layered representation and hybrid digital-analog modulation,” in2014 IEEE International Conference on Image Processing, ICIP 2014, Paris, France, October 27-30, 2014, 2014, pp. 6001–6005.

J. Zhang, D. Zhao, R. Xiong, S. Ma, and W. Gao, “Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain,”IEEE Trans. Circuits Syst. Video Techn., vol. 24, pp. 915–928, 2014.

S. Wang, S. Ma, D. Zhao, and W. Gao, “Lagrange multiplier based perceptual optimization for high efficiency video coding,” inAsia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014, Chiang Mai, Thailand, December 9-12, 2014, 2014, pp. 1–4.

S. Ma, S. Wang, and W. Gao, “Low Complexity Adaptive View Synthesis Optimization in HEVC Based 3D Video Coding,”IEEE Trans. Multimedia, vol. 16, pp. 266–271, 2014.

B. Wu, N. Zhang, S. Ma, D. Zhao, and W. Gao, “Optimal entropy-constrained non-uniform scalar quantizer design for low bit-rate pixel domain DVC,”Multimedia Tools Appl., vol. 70, pp. 1799–1824, 2014.

W. Gao and S. Ma,Advanced Video Coding Systems. Springer, 2014.

W. Gao, Y. H. Tian, T. Huang, S. Ma, and X. Zhang, “The IEEE 1857 Standard: Empowering Smart Video Surveillance Systems,”IEEE Intelligent Systems, vol. 29, pp. 30–39, 2014.

2013

X. Zhang, S. Wang, S. Ma, S. Liu, and W. Gao, “Entropy of primitive: A top-down methodology for evaluating the perceptual visual information,” in2013 Visual Communications and Image Processing, VCIP 2013, Kuching, Malaysia, November 17-20, 2013, 2013, pp. 1–6.

N. Zhang, et al., “Improved disparity vector derivation in 3D-HEVC,” in2013 Visual Communications and Image Processing, VCIP 2013, Kuching, Malaysia, November 17-20, 2013, 2013, pp. 1–5.

R. Xiong, F. Wu, X. Fan, C. Luo, S. Ma, and W. Gao, “Power-distortion optimization for wireless image/video SoftCast by transform coefficients energy modeling with adaptive chunk division,” in2013 Visual Communications and Image Processing, VCIP 2013, Kuching, Malaysia, November 17-20, 2013, 2013, pp. 1–6.

J. Si, S. Ma, and W. Gao, “Efficient bit allocation and CTU level rate control for High Efficiency Video Coding,” in30th Picture Coding Symposium, PCS 2013, San Jose, CA, USA, December 8-11, 2013, 2013, pp. 89–92 

开设课程

马思伟讲授的课程有“计算概论”等。[4]

指导学生获奖

学生姓名学位类别获得奖项王钊[5]博士博士论文“自适应划分预测编码研究”2019年获评为北京大学“优秀博士学位论文”张嘉琪[6]博士2018年获得AVS产业技术创新奖(AVS3封闭项目组),2021年获得数字视频编解码技术国家工程实验室优秀个人、IEEE标准贡献奖徐逸群[7]博士2016年获得中国科学院计算技术研究所一等学业奖学金,2017年获得ChinaMM杰出展示奖、AVS产业技术创新奖王苏红[8]博士曾获得北京大学三好学生,北京大学优秀共产党员,北京大学小米奖学金,北京市普通高等学校优秀毕业生(春季),北京大学优秀毕业生(春季)孟学苇[9]博士曾获得北京大学专项奖学金、北京大学“三好学生标兵”“学习优秀奖”“优秀科研奖”雷萌[10]博士2018年获得AVS产业技术创新奖(AVS3封闭项目组), 2021年获得IEEE1857.10标准贡献奖,2022年获得北京大学三好学生、北京大学廖凯原奖学金、AVS产业技术创新奖(AVS3测试验证团队),2023年获ISCAS神经网络视频编码挑战赛第一名林凯[11]博士2021年获得北京大学优秀科研奖、CVPR神经网络视频编码比赛第三名,2022年获得北京大学三好学生、北京大学九坤奖学金、AVS产业技术创新团队奖(AVS3测试验证团队)、AVS产业技术创新团队奖(推动AVS3国际化DVB),2023年获得ISCAS神经网络视频编码比赛第一名

社会职务

时间担任职务2023年11月北京大学计算机学院第一届工会委员会委员[12]2023年中国多媒体大会赞助主席[13]2022年中国多媒体大会赞助主席[13]2020年—2025年中国图象图形学学会理事[14]2017年6月中国图象图形学学会视频监控与安全专委会副主任[15]2017年IEEE视觉通信与图像处理国际会议(IEEE VCIP 2017)程序委员会联合主席[16]2017年IEEE图像处理国际会议(ICIP 2017)出版主席[13]2015年IEEE多媒体国际学术研讨会(IEEE ISM-2015)领域主席[17]-中国图象图形学学会多媒体专业委员会副主任[18]中国图象图形学学会会员发展与服务工委会主任[18]中国计算机学会多媒体技术专业委员会执行委员[19]IEEECS数据压缩标准委员会副主席[13]《IEEE Transactions on Circuits and System for Video Technology》编委[17]《Journal of Visual Communication and Representation》编委[17]

人物评价

马思伟对视频编码技术和标准研制方面做出了贡献。[18](电气与电子工程师协会评)

马思伟在超高清视频高效压缩、视觉失真度量和率失真优化编码方面,取得一系列重要创新成果。[20](视频与视觉技术国家工程研究中心评)

获得荣誉

名称2022年“科学探索奖”
time2022-09
type
名称2021年国家技术发明奖
time2021
type
honor建议资助项目申请人名单
名称2020年度国家杰出青年科学基金
time2020
type
honor贡献奖
名称2020年度国家杰出青年科学基金
time2013
type
名称2012年国家科学技术进步奖
time2012
type
honor全国优秀博士论文奖
名称2007年全国优秀博士论文奖
time2007
type
honor一等奖
名称2007年中国标准创新贡献奖
time2007
type
honor二等奖
名称2006年国家技术发明奖
time2006
type
works高效数字视频编解码技术及其在国际标准与国家标准中的应用
honorAVS技术奖
名称2004年AVS技术奖
time2004
type

参考资料 20

  1. 今年“杰青”名单出炉!共300人,来自124家单位_科技湃_澎湃新闻-The Paper — 澎湃新闻-The Paper
  2. 最全!2020年度国家科学技术奖励名单 — 科学网
  3. 首位90后获奖人诞生!2022年“科学探索奖”名单公布r — 澎湃新闻
  4. 教师介绍 — 计算概论
  5. 数字媒体所马思伟教授指导的学生王钊获评北京大学“优秀博士学位论文” — 视频与视觉技术国家工程研究中心
  6. 【博士】张嘉琪于2022年11月27日通过博士学位论文答辩 — 视频与视觉技术国家工程研究中心
  7. 【博士】徐逸群于2022年05月31日通过博士学位论文答辩 — 视频与视觉技术国家工程研究中心
  8. 【博士】王苏红于2022年12月12日通过博士学位论文答辩 — 视频与视觉技术国家工程研究中心
  9. 【博士】孟学苇于2022年05月26日通过博士学位论文答辩 — 视频与视觉技术国家工程研究中心
  10. 【博士】雷萌于2023年05月25日通过博士学位论文答辩 — 视频与视觉技术国家工程研究中心
  11. 【博士】林凯于2023年05月25日通过博士学位论文答辩 — 视频与视觉技术国家工程研究中心
  12. 北京大学计算机学院工会召开第一届会员代表大会 — 北京大学计算机学院
  13. 马思伟 — 视频与视觉技术国家工程研究中心
  14. 中国图象图形学学会现任理事会 — 中国图象图形学学会
  15. 中国图象图形学学会视频监控与安全专委会成立大会在京召开 — 中国图象图形学学会
  16. 祝贺CCF多媒体专委会多位委员老师当选IEEE Fellow! — 中国计算机学会多媒体技术专业委员会
  17. CCF多媒体专委会委员马思伟教授获2022年“科学探索奖” — 中国计算机学会多媒体技术专业委员会
  18. 祝贺马思伟教授当选IEEE Fellow — 视频与视觉技术国家工程研究中心
  19. 组织机构 — 中国计算机学会多媒体技术专业委员会
  20. 喜讯|北大信研院副院长、先进视觉中心主任马思伟教授当选IEEE Fellow — 微信公众平台
广告位:底部(ad-bottom)—— 请到中台「公共区块」编辑此内容