宋明黎

宋明黎

宋明黎,男,博士,浙江大學教授,博士生導師。

基本介紹

  • 中文名:宋明黎
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:計算機視覺
  • 就職院校:浙江大學
研究方向,個人經歷,主講課程,學術成果,榮譽獎項,

研究方向

計算機視覺
圖像增強
模式識別與人工智慧

個人經歷

工作機會
課題組科研氛圍良好,師生關係融洽,歡迎海內外青年學者加盟,加盟方式靈活,博士後、特聘研究員、教師等均可商榷,待遇從優,歡迎聯繫。
學習機會
課題組為學生提供了良好的學習和實踐環境,秉持知行合一的治學態度和踏實老實紮實的工作作風,努力培養領域內的佼佼者。近年來課題組畢業生中有的已經成為美國大學的教授,有的已經成為工業界企業的技術骨幹,歡迎優秀學子加入課題組學習。
訪問實習
歡迎國內外在讀研究生或在職青年教師來課題組實習、訪問、交流,開展各種形式的學術合作,課題組將提供訪問期間工作學習生活所需資源,支持進行高水平學術研究,訪問期間的合作成果可以以貴方為第一單位發表。
2015,新加坡國立大學,訪問教授
2012–2014,美國華盛頓大學,訪問學者
2009, 新加坡南洋理工大學,訪問教授
IEEE資深會員,ACM專業會員。

主講課程

本科生課程:
圖像信息處理,48學時
計算機視覺,32學時

學術成果

Journal papers
[1]. Wenwen Pan, Xinyu Wang, Mingli Song, Chun Chen, Survey on Generating Adversarial Examples, Journal of Software, 2020.
[2]. Zunlei Feng, Weixin Liang, Daocheng Tao, Li Sun, Anxiang Zeng, Mingli Song, CU-Net: Component Unmixing Network for Textile Fiber Identification, International Journal of Computer Vision. Acceptance.
[3]. Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song, Neural Style Transfer: A Review, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS. ACCEPTANCE
[4]. Jingwen Ye, Yongcheng Jing, Xinchao Wang, Kairi Ou, Dacheng Tao, Mingli Song, Edge-Sensitive Human Cutout with Hierarchical Granularity and Loopy Matting Guidance, IEEE TRANSACTIONS ON IMAGE PROCESSING. Acceptance.
[5]. Zunlei Feng, Zhenyun Yu, Yongcheng Jing, Sai Wu, Mingli Song, Yezhou Yang, JunXiao Jiang, Interpretable Partitioned Embedding for Intelligent Multi-item Fashion Outfit Composition, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). Acceptance.
[6]. R. Zhou, H. Wu, X. Zhang, L. Ye, H. Shan, X. Song, M. Song, S. Zheng, Efficacy and Safety of Botulinum Toxin Type A Injection in Patients with Bilateral Trapezius Hypertrophy, Aesthetic Plastic Surgery, 2018.
[7]. J. Lei, Q. Luan, X. Liu, D. Tao, M. Song, Action Parsing Driven Video Summarization Based on Reinforcement Learning, IEEE Transactions on Circuits and Systems for Video Technology,2019.
[8]. J. Lei, X. Gao, Z. Feng, H. Qiu, M. Song, Scale Insensitive and Focus Driven Mobile Screen Defect Detection in Industry, Neurocomputing,2018.
[9]. J. Lei, X. Gao, J. Song, X. Wang, M. Song, Survey of Deep Neural Network Model Compression, Journal of Software (Chinese), 2018.
[10]. Z. Feng, C. Fu, W. Yuan, J. Lei, M. Song, Finding Intrinsic Color Themes in Images with Human Visual Perception, Neurocomputing, 2018.
[11]. Y. S. Rawat, M. Song, M. S. Kankanhali, A Spring-Electric Graph Model for Socialized Group Photography, IEEE Transactions on Multimedia, 2018.
[12]. Li Sun, Ke Chen, Mingli Song, Dacheng Tao, Gang Chen, Chun Chen, Robust, Efficient Depth Reconstruction with Hierarchical Confidence-Based Matching, IEEE Transactions on Image Processing, 2017
[13]. Yinting Wang, Zhenyang Wang, Dapeng Tao, Shaojie Zhuo, Xianghua Xu, Shiliang Pu, Mingli Song, AllFocus: Patch based video out-of-focus blur reconstruction, IEEE Transactions on Circuits and Systems for Video Technology, online publish, April, 2016.
[14]. Tongliang Liu, Dacheng Tao, Stephen Maybank, Mingli Song, Algorithm-Dependent Generalization Bounds for Multi-Task Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 3 2016.
[15]. Haoming Chen, Chao Wei, Mingli Song, Ming-Ting Sun, Kevin Lau, Capture-to-display delay measurement for visual communication applications, APSIPA Transactions on Signal and Information Processing, vol. 4, online publish, 2015.
[16]. X. Song, L. Sun, J. Lei, G. Yuan, M. Song, Event-based Large Scale Surveillance Video Summarization, Neurocomputing,, 2016.
[17]. D. Tao, J. Cheng, M. Song, X. Lin, Manifold Ranking-Based Matrix Factorization for Saliency Detection, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2016.
[18]. H. Liang, R. Liang, M. Song, X. He, Coupled Dictionary Learning for the Detail-Enhanced Synthesis of 3-D Facial Expressions, IEEE Transactions on Cybernetics (T-CYB), 2016.
[19]. Binbin Tang, Xiao Liu, Jie Lei, Mingli Song, Dapeng Tao, Shuifa Sun, Fangmin Dong, DeepChart: Combining deep convolutional networks and deep belief networks in chart classification, Signal Processing, 2016.
[20]. X. Liu, M. Song, et al., Random Shape Prior Forest For Multi-Class Object Segmentation, IEEE Transactions on Image Processing (T-IP), 2015.
[21]. Y. Wang, M. Song, et al., Where2Stand: A Human Position Recommendation System for Souvenir Photography, ACM Transactions on Intelligent System and Technology (TIST), 2015..
[22]. Ya Li, Xinmei Tian, Mingli Song, Dacheng Tao, Multi-Task Proximal Support Vector Machine, Pattern Recognition (PR), 2015.
[23]. M. Strathman, Y. Liu, E. G. Keeler, M. Song, U. Baran, J. Xi, M.-T. Sun, R. Wang, X. Li and L. Y. Lin, MEMS scanning micromirror for optical coherence tomography, Biomedical Optical Express,
[24]. X. Liu, M. Song, et al., Random Forest Construction with Robust Semi-supervised Node Splitting, IEEE Transactions on Image Processing (T-IP), 2015.
[25]. M. Song, D. Tao, S. Sun, C. Chen and S. J. Maybank, Robust 3D Face Landmark Localization based on Local Coordinate Coding, IEEE Transactions on Image Processing (T-IP), 2014.
[26]. Y. Wang, D. Tao, M. Song, et al., Video Tonal Stabilization Color States Smoothing, IEEE Transactions on Image Processing (T-IP) 2014.
[27]. L. Sun, M. Song, Z. Liu, M.-T. Sun, Real-Time Gaze Estimation with Online Calibration, IEEE Multimedia, 2014.
[28]. J. Lei, M. Song, et al., Whole-Body Humanoid Robot Imitation with Pose Similarity Evaluation, Signal Processing, 2015.
[29]. X. Liu, D. Tao, M. Song, et al., Learning to Track Multiple Targets, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2015.
[30]. M. Song, C. Chen, S. Wang, Y. Yang, Low-Level and High-Level Prior Learning for Visual Saliency Estimation, Information Sciences (INS), 2014.
[31]. L. Zhang, M. Song, Y. Yang, Q. Zhao, X. Liu, C. Zhao, and N. Sebe, Weakly supervised photo cropping, IEEE Transactions on Multimedia (T-MM), 2014.
[32]. L. Zhang, M. Song, X. Liu, L. Sun, C. Chen, J. Bu, Recognizing architecture styles by hierarchical sparse coding of blocklets, Information Sciences (INS), 2014.
[33]. L. Zhang, Y. Han, Y. Yang, M. Song, S. Yan, Q. Tian, Discovering Discriminative Graphlets for Aerial Image Categories Recognition, IEEE Transactions on Image Processing (T-IP)2013.
[34]. L. Sun, M. Song, C. Chen, D. Tao, J. Bu, C. Chen, Motionlet LLC Coding for Discriminative Human Pose Estimation, Multimedia Tools and Applications, 2014.
[35]. Y. Liang, M. Song, et al., Colorization for Gray Scale Facial Image by Locality-Constrained Linear Coding, Journal of Signal Processing System, 2013.
[36]. M. Song, D. Tao, J. Bu, C. Chen, Y. Yang, Color-to-Gray based on Chance of Happening Preservation, Neurocomputing, 2013.
[37]. M. Song, D. Tao, S. Sun, C. Chen, J. Bu, Joint Sparse Learning for 3-D Facial Expression Generation, IEEE Transactions on Image Processing (T-IP),2013.
[38]. L. Zhang, D. Tao, X. Liu, M. Song, C. Chen, Grassmann Multimodal Implicit Feature Selection Multimedia Systems, Multimedia System Journal, 2013.
[39]. Q. Zhao, R. Zhou, X. Zhang, H. Sun, X. Lu, D. Xia, M. Song, Y. Liang, Morphological Quantitative Criteria and Aesthetic Evaluation of Eight Female Han Face Types, Aesthetic Plastic Surgery, 2013.
[40]. L. Zhang, M. Song, et al., Probabilistic Graphlet Transfer for Photo Cropping, IEEE Transactions on Image Processing (T-IP), 2013.
[41]. L. Zhang, M. Song, et al., Fast Multi-view Segment Graph Kernel for Object Classification, Signal Processing, 2013.
[42]. M. Song, et al., Three-Dimensional Face Reconstruction From a Single Image by a Coupled RBF Network, IEEE Transactions on Image Processing (T-IP), 2012.
[43]. X. Deng, X. Liu, M. Song, et al., LF-EME: Local Features with Elastic Manifold Embedding for Human Action Recognition, Neurocomputing, 2012.
[44]. X. Liu, M. Song, et al., Attribute-Restricted Latent Topic Model for Human Identity Recognition in Sparse Camera Network, Pattern Recognition (PR), 2012.
[45]. X. Deng, Y. Shen, M. Song, et al., Video-based non-uniform object motion blur estimation and deblurring, Neurocomputing, 2012.
[46]. M. Song, et al., Image-based sketch-to-photo synthesis via online coupled dictionary learning, Information Sciences (INS), 193:233-246, 2012.
[47]. M. Song, et al., Probabilistic Exposure Fusion, IEEE Transactions on Image Processing (T-IP), 2012.
[48]. Y. Lin, M. Song, et al., Sparse Coding for Flexible and Robust 3D Facial Expression Synthesis, IEEE Computer Graphics and Applications 2012.
[49]. J. Yu, W. Bian, M. Song, et al., Graph based transductive learning for cartoon correspondence construction. Neurocomputing, 2012.
[50]. T. Sha, M. Song, et al., Feature Level Analysis for 3D Facial Expression Recognition, Neurocomputing, 2011.
[51]. C. Hong, N. Li, M. Song, et al., An efficient approach to content-based object retrieval in videos. Neurocomputing 2011.
[52]. K. Hao, M. Song, et al., Natural Grayscale Image Colorization via Local Sparse Coding, Journal of CAD/CG , 2011.
[53]. X. Huang, Y. Lin, M. Song, et al., 3D Facial Expression Synthesis based on Nonlinear Co-learning, Journal of CAD/CG , 2011.
[54]. J. Liu, M. You, C. Chen, M. Song, Real-time Speech-driven Animation of Expressive Talking Faces, International Journal of General System, 2011.
[55]. M. Song, et al., Color to Gray: Visual Cue Preservation, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2010.
[56]. M. Song, et al., Image Ratio Features for Facial Expression Recognition Application, IEEE Transactions on System, Man & Cybernetics, Part B (T-SMCB), 2010.
[57]. M. Song, et al., Visual Context Boosting for Eye Detection, IEEE Transactions on System, Man & Cybernetics, Part B (T-SMCB),, 2010. .
[58]. Y. Lin, C. Chen, M. Song, et al., Polar Field based Implicit Surface Reconstruction, Journal of CAD/CG, 2009.
[59]. Y. Lin, C. Chen, M. Song, et al., Dual-RBF based Surface Reconstruction, The Visual Computer, 2009.
[60]. M. Song, et al. Tone Mapping for HDR Image using a Probabilistic Model, Journal of Software, 2009.
[61]. D. Tao, M. Song, et al., Bayesian Tensor Approach for 3D Face Modelling, IEEE Transactions on CSVT (T-CSVT), 2008.
[62]. N. Li, C. Chen, Q. Wang, M. Song, et al., Avatar Motion Control by Natural Body Movement Via Camera, Neurocomputing, 2008.
[63]. M. Song, et al., Gaussian mixture model based approach on color transfer, Journal of CAD/CG, 2008.
[64]. M. Song, et al., A robust multimodal approach for emotion recognition, Neurocomputing, 2008.
[65]. M. Song, et al., Local Laplacian for Face Detail Transfer, Journal of CAD/CG, 2008.
[66]. M. Song, et al., A Generic Framework for Efficient 2D and 3D Facial Expression Analogy, IEEE Transactions on Multimedia (T-MM),2007.
[67]. M. Song, et al. An Efficient Method of Face Texture Mapping Directed to Portable Devices, Journal of CAD/CG, 2005.
Conference papers
[1]. Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang, Distilling Knowledge from Graph Convolution Networks, CVPR 2020.
[2]. Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song, Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN, CVPR 2020.
[3]. Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song, DEPARA: Deep Attribution Graph for Deep Knowledge Transferability, CVPR 2020.
[4]. Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen, Dynamic Instance Normalization for Arbitrary Style Transfer, AAAI 2020.
[5]. Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song, Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers, AAAI 2020.
[6]. Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song, Deep Model Transferability from Attribution Maps, NeurIPS 2019.
[7]. Feida Zhu, Hongji Cao, Zunlei Feng, Zhang Yongqiang, Luo Weibin, Hucheng Zhou, Mingli Song, Kai-Kuang Ma, Semi-supervised Eye Makeup Transfer by Swapping Learned Representation, ICCV Workshop 2019.
[8]. Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song, Customizing Student Network from Heterogeneous Teachers via Adaptive Knowledge Amalgamation, ICCV 2019.
[9]. Ya Zhao, Rui Xu, Mingli Song, A Cascade Sequence-to-Sequence Model for Chinese Lip Reading, ACM Conference on Multimedia in Asia (MM Asia), 2019.
[10]. Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao, SPAGAN: Shortest Path Graph Attention Network, IJCAI 2019.
[11]. Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song, Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers, IJCAI 2019.
[12]. Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song, Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning, IJCAI 2019
[13]. J. Ye, Y. Ji, X. Wang, K. Ou, D. Tao, M. Song, Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation and more, CVPR 2019.
[14]. C. Shen, X. Wang, J. Song, M. Song, Amalgamating Knowledge towards Comprehensive Classification, AAAI 2019.
[15]. Z. Feng, X. Wang, C. Ke, A. Zeng, D. Tao, M. Song, Dual Swap Disentangling, NIPS 2018.
[16]. C. Shen, J. Song, S. Song, L. Sun, S. Luo, M. Song, Intra-class structure aware networks for screen defect detection, ICONIP 2018.
[17]. S. Luo, Y. Yang, Y. Yin, C. Shen, Y. Zhao, M. Song, DeepSIC: Deep Semantic Image Compression, ICONIP 2018..
[18]. T. Shen, Z. Gu, Y. Wang, S. Toledo, S. Zhang, M. Song, Where to Rendezvous? Prefering Quiet Channels in Cognitive Radio Networks, MSWiM’18. Acceptance.
[19]. Y. Jing, Y. Liu, Y. Yang, Z. Feng, Y. Yu, D. Tao, M. Song, Stroke Controllable Fast Style Transfer with Adaptive Receptive Field, ECCV 2018.
[20]. J. Song, C. Shen, J. Lei, A.-X. Zeng, K. Ou, D. Tao, M. Song, Selective Zero-Shot Classification with Augmented Attribute, ECCV 2018.
[21]. J. Lei, Z. Wang, Z. Feng, M. Song, J. Bu, Understanding the prediction process of Deep Networks by Forests, IEEE International Conference on Multimedia Big Data, BigMM 2018.
[22]. Y. Zhao, S. Luo, Y. Yang, M. Song, DEEPSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification, IEEE International Conference on Image Processing, 2018.
[23]. J. Song, C. Shen, Y. Yang, Y. Liu, M. Song, Transductive Unbiased Embedding for Zero-Shot Learning, CVPR 2018.
[24]. J. Ye, Y. Jing, J. Lei, Z. Feng, M. Song, Finer-Net: Cascaded Human Parsing with Hierarchical Granularity, ICME 2018,
[25]. Z. Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song, Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition, ACM ICMR 2018.
[26]. J. Song, Y. Shen, Y. Jing, M. Song, Towards Deeper Insights into Deep Learning from Imbalanced Data, CCCV 2017,
[27]. J. Lei, Q. Luan, X. Song, X. Liu, M. Song, Action Parsing Driven Video Summarization based on Reinforcement Learning, ChinaMM 2017.
[28]. Zunlei Feng, Jie Lei, Yongcheng Jing, Mingli Song, et al., Graph-based color gamut mapping using neighbor metric, International Conference on Multimedia and Expo 2017.
[29]. Jie Lei, Zunlei Feng, Mingli Song, Dacheng Tao, WHICH FACE IS MORE ATTRACTIVE?, ICIP 2016, August 2016.
[30]. Xinhui Song, Mingli Song, Ke Chen, Li Sun, Jie Lei, Category Driven Deep Recurrent Neural Network For Video Summarization, ICME 2016 Workshops, July, 2016.
[31]. Jie Lei, Xinhui Song, Li Sun, Mingli Song, Na Li, Chun Chen, Learning deep classifiers with deep features, ICME 2016, July, 2016.
[32]. X. Liu, B. Tang, Z. Wang, X. Xu, S. Pu, D. Tao, M. Song, Chart Classification by Combining Deep Convolutional Networks and Deep Belief Networks,
[33]. J. Lei, M. Song, J. Bu, Z. Li, et al., Whole-Body Humanoid Robot Imitation with Pose Similarity Evaluation, ICPR 2014,
[34]. L. Sun, M. Song, Z. Liu, M. Sun, Realtime Gaze Estimation with Online Calibration, ICME 2014,
[35]. Q. Luan, M. Song, C. Chen, et al., Video Summarization Based on Nonnegative Linear Reconstruction, ICME 2014,
[36]. X. Liu, D. Tao, M. Song, J. Bu, and C. Chen, Nearest Neighbor-based Label Transfer for Weakly Supervised Multiclass Video Segmentation, CVPR 2014. (Oral, 5.75%).
[37]. X. Liu, M. Song, D. Tao, J. Bu and C. Chen, Semi-Supervised Coupled Dictionary Learning for Person Re-identification, CVPR 2014.
[38]. C. Wei, H. Chen, M. Song, M.-T. Sun, A Capture-to-Display Delay Measurement System for Visual Communication Applications, APSIPA 2013.
[39]. H. Liang, M. Song, R. Liang, Personalized 3-D Facial Expression Synthesis based on Landmark Constraint, APSIPA 2013.
[40]. L. Zhang, M. Song, Z. Liu, X. Liu, J. Bu, C. Chen, Probabilistic Graphlet Cut: Exploring Spatial Structure Cue for Weakly Supervised Image Segmentation, CVPR 2013, June 2013.
[41]. X. Liu, M. Song, D. Tao, Z. Liu, L. Zhang, J. Bu, C. Chen, Semi-supervised Node Splitting for Random Forest Construction, CVPR 2013, June 2013..
[42]. C. Shen, M. Song, Q. Zhao, Learning High-Level Concepts by Training A Deep Network on Eye Fixations, Deep Learning and Unsupervised Feature Learning NIPS Workshop, 2012.
[43]. Y. Liang, M. Song, et al., Face Sketch-to-Photo Synthesis from Simple Line Drawing, Asia Pacific Signal and Information Processing Association (APSIPA), 2012.
[44]. Y. Liang, M. Song, et al., Colorization for Gray Scale Facial Image by Locality-constrained Linear Coding, Pacific Rim Conference on Multimedia (PCM2012), 2012.
[45]. L. Sun, M. Song, et al., Pose Estimation with Motionlet LLC Coding, Pacific Rim Conference on Multimedia (PCM2012), 2012.
[46]. S. Wang, Q. Zhao, M. Song, et al., Learning Visual Saliency based on Object's Relative Relationship, Neural Information Processing (ICONIP2012), 2012.
[47]. X. Liu, M. Song, et al., Joint Shot Boundary Detection and Key Frame Extraction, International Conference on Pattern Recognition (ICPR2012), 2012.
[48]. L. Zhang, M. Song, et al., Spatial Graphlet Matching Kernel for Recognizing Aerial Image Categories, International Conference on Pattern Recognition (ICPR2012), 2012.
[49]. C. Hong, J. Zhu, M. Song, et al., Realtime Object Matching with Robust Dominant Orientation Templates, International Conference on Pattern Recognition (ICPR2012), 2012.
[50]. Y. Wang, J. Bu, N. Li, M. Song, et al., Detecting Discontinuities for Surface Reconstruction, International Conference on Pattern Recognition (ICPR2012), 2012.
[51]. J. She, D. Wang, M. Song, Automatic Image Cropping using Sparse Coding, First Asian Conference on Pattern Recognition(ACPR2011), 2011.
[52]. L. Zhang, M. Song, et al., Large-scale Outdoor Scene Classification by Boosting a Set of Highly Discriminative and Low Redundant Graphlets. ICDM Workshops, 2011.
[53]. S. Wang, M. Song, et al., Opponent and Feedback: Visual Attention Captured, Neural Information Processing (ICONIP2011), 2011.
[54]. Z. Zhou, J. Bu, L. Zhang, M. Song, et al., Describing Human Identity using Attributes, Neural Information Processing (ICONIP2011), , 2011.
[55]. L. Zhang, W. Bian, M. Song, et al., Integrating Local Features into Discriminative Graphlets for Scence Classification, Neural Information Processing (ICONIP 2011), 2011.
[56]. L. Zhang, M. Song, et al., Feature Relationships Hypergraph for Multimodal Recognition, Neural Information Processing (ICONIP 2011), 2011.
[57]. L. Zhang, M. Song, et al., Fast Multi-view Graph Kernels for Object Classifcation, Australasian Conference on Artificial Intelligence (AI 2011), 2011.
[58]. Z. Zhou, M. Song, et al., kPose: a new representation for action recognition, Asian Conference on Computer Vision (ACCV 2011), Lecture Notes in Computer Science, 2011.
[59]. B. Xie, M. Song, et al., Random Project Tree and Multiview Embedding for Large-scale Image Retrieval, International Conference on Neural Information Processing (ICONIP2010), 2010.
[60]. Y. Yang, M. Song et al., Color to Gray: Attention Preservation, Pacific-Rim Symposium on Image and Video Technology (PSIVT2010), 2010.
[61]. C. Hong, N. Li, M. Song, et al., A Level-set based Tracking Approach for Surveillance Video with Fusion and Occlusion, Pacific-Rim Symposium on Image and Video Technology(PSIVT2010), 2010.
[62]. B. Xie, M. Song, et al., Large-scale Dictionary Learning for Local Coordinate Coding, British Machine Vision Conference (BMVC2010), Lecture Notes in Computer Science, 2010.
[63]. H. Huang, Y. Lin, M. Song, et al., Face Aging by Sparse Representation, Pacific Rim Conference on Multimedia(PCM2010), 2010.
[64]. Y. Yang, M. Song, et al., What is the Chance of Happening: A New Way to Predict Where People Look, European Conference on Computer Vision (ECCV2010), 2010.
[65]. L. Zhang, M. Song, et al., Feature Selection for Accelerating Speech based Emotion Recognition, ACM Multimedia(MM2009), 2009.
[66]. Y. Yang, M. Song, et al., Visual Attention Analysis using Classic Theory of Gravitational Field, ACM Multimedia(MM2009), 2009.
[67]. H. Mao, C. Ye, M. Song, et al., Viewpoint Independent Vehicle Speed Estimation from Uncalibrated Traffic Surveillance Cameras, International Conference on System, Man & Cybernetics (SMC2009),, 2009.
[68]. Y. Lin, C. Chen, M. Song, et al., Implicit Surface Reconstruction with An Analogy of Polar Field Model, Pacific-Rim Symposium on Image and Video Technology 2009 (PSIVT2009),2009.
[69]. C. Ye, J. Liu, C. Chen, M. Song, et al., Speech emotion classification on a Riemannian manifold, Pacific Rim Conference on Multimedia (PCM2008), Lecture Notes on Computer Science,, 2008.
[70]. C. Pang, M. Song, et al., Painterly Rendering with Vector Field based Feature Extraction, International Conference on Artifical Reality and Telexistence (ICAT2006), Lecture Notes on Computer Science, 2006.
[71]. Q. Wu, M. Song, et al., EigenExpress Approach in Recognition of Facial Expression using GPU, ECCV 2006 workshop on Human-Computer Interaction, Lecture Notes in Computer Science, 2006.
[72]. J. Bu, L. Mo, C. Chen, Z. Yang, M. Song, Multiple-Reference-Frame Based Fast Motion Estimation & Mode Decision for H.263-to-H.264 Transcoder, IEEE International Conference on Image Processing (ICIP06),, 2006.
[73]. M. Song, et al., Subtle Facial Expression Modeling with Vector Field Decomposition, IEEE International Conference on Image Processing (ICIP06), , 2006.
[74]. M. Song, et al., Real-Time Facial Expression Mapping for High Resolution 3D Meshes, Computer Graphics International (CGI 2006), Lecture Notes in Computer Science, , 2006.
[75]. J. Bu, M. Song, et al., Sketch based Facial Expression Recognition using Graphics Hardware, Affective Computing and Intelligent Interaction (ACII05), Lecture Notes in Computer Science,2005.
[76]. M. Song, et al., Audio-Visual based Emotion Recognition-A New Approach, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2004),, 2004.
[77]. M. Song, et al., 3D Realistic Talking Face Co-Driven by Text and Speech, IEEE International Conference on Systems, Man & Cybernetics (SMC2003),, 2003.
國際期刊
Information Sciences, Associate Editor.
Neurocomputing, Associate Editor
Journal of Visual Communication and Image Representation, Associate Editor
Neural Processing Letters, Associate Editor
IEEE Transactions on Knowledge and Data Engineering, Reviewer.
IEEE Transactions on Multimedia, Reviewer
IEEE Transactions on System, Man and Cybernetics, Part B, Reviewer.
IEEE Transactions onCurcuitsand Systems for Video Technology, Reviewer.
IEEE Transactions on System, Man and Cybernetics, Part C, Reviewer.
IEEE Transactions on Information Technology in Biomedicine, Reviewer.
IEEE Multimedia, Reviewer
IEEE Signal Processing Letters, Reviewer
PlosOne, Reviewer
Journal of Visual Communication and Image Representation, Reviewer.
Computer Aided Design, Reviewer.
Pattern Recognition, Reviewer
Pattern Recognition Letters, Reviewer
Pattern Analysis & Application, Reviewer
Machine Vision & Application, Reviewer
International Journal of Computer Mathematics, Reviewer
Neurocomputing, Reviewer
Signal Processing, Reviewer
Information Sciences,Reivewer.
International Journal of Pattern Recognition and Artificial Intelligence, Reviewer
International Journal of Image and Graphics, Reviewer.
Electronic Letters on Computer Vision and Image Analysis, Reviewer.
Soft Computing, Reviewer.
Journal of Information Science & Engineering, Reviewer.
國際會議
International Conference on Multimedia and Expo (ICME): 2014, Area Chair.
International Conference on Multimedia and Expo (ICME): Program Committee.
International Conference on Image Analysis and Recognition (ICIAR): , Program Committee.
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD): Program Committee.
International Conference on Acoustic, Speech and Signal Processing (ICASSP):2012, 2013, Reviewer.
International Conference on Image Processing (ICIP), , Reviewer.
International Conference on Computer Vision Theory and Applications (VISAPP): 2014, Program Committee.
International Conference on Signal Processing and Multimedia Applications (SIGMAP):Program Committee.
The 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP): Program Committee.
The 13th International Conference on Computer Analysis of Images and Patterns (CAIP): Program Committee.
Pacific Rim Symposium on Image Video and Technology (PSIVT): Program Committee/Area Chair.
Pacific Rim Conference on Multimedia (PCM), 2011, 2012, Program Committee
International Conference on Machine Learning and Applications (ICMLA): 2012, Senior Program Committee.
開放資源
2017年9月,復旦大學,3D視覺互動關鍵技術,slides下載(MacOS下keynote)
ZJU-VIPA Line Drawing Face Database,(下載), 相關論文M. Song, et al., Image-based sketch-to-photo synthesis via online coupled dictionary learning, Information Sciences (INS), , 2012.
VIPA-中國美院古文字識別及轉換(下載)
中文國語唇語識別數據集(下載)
'Neural Style Transfer: A Review'對應代碼、預訓練模型煉知引擎框架KAmalEngine項目主頁“Deep Model Transferability from Attribution Maps”對應代碼

榮譽獎項

2004,微軟學者
2010,求是青年學者
2012,浙江省151人才第三層次
2012,浙江大學信息學部優秀青年教師(一等獎)
2013,“十一五”浙江省自然科學基金優秀論文
2012,浙江省科技獎二等獎(第6)
2014,浙江省科技獎一等獎(第4)
2016,浙江省151人才計畫第二層次

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