Dr. Chun Yuan

  • Associate Professor, Ph.D Tutor
  • Director, Computer Application Technology laboratory
  • Executive Vice Director, Tsinghua Univesity---HK Chinese University Joint Research Center on Media Science, Technology and Systems.
  • Division of Information Science and Technology, Graduate School at ShenZhen, Tsinghua University



About me

    Dr. Chun Yuan is currently an Associate Professor in the Graduate school at Shen Zhen, Tsinghua University.He also holds a post in "Tsinghua-CUHK Joint research center on media science, technology and system" as executive vice director.
    He received the M.S. and Ph.D. degrees from the Department of Computer Science and Technology, Tsinghua University, Beijing, China, in 1999 and 2002, respectively. He once worked at the INRIA-Rocquencourt, Paris, France, as a Post-doc research fellow from 2003 to 2004. In 2002, he worked at Microsoft Research Asia, Beijing, China, as an intern.
    His research interests include computer vision, machine learning and multimedia technologies. He has published more than 130 papers in high-level academic journals and conferences, including TIP, TCSVT, TMM, T-Cybernetics, CVPR, NIPS,AAAI, IJCAI and so on.He serves on several top-level artificial intelligence and computer vision conferences, such as ACM MM, AAAI, IJCAI, ICME, etc.There are more than 10 postgraduates under the guide of Doctor Yuan. His team ranked second on Pascal VOC2012 Image Semantic Segmentation Competition, and ranked first on MOT2015 Video Multi-objects Track Competition.



Education and Employment

Postdoc

Postdoctor in INRIA_Rocquencourt (Institute of national research on information and automation, France) 2003-2004, Tutored by Prof. Philipe Pucheral, In SMIS Project, Major in Database security System

Ph.D.

Institute of HCI and Media Integration, Department of Computer Science and Technology，Department of Computer Science and Technology in Tsinghua University, P.R.China, 2000-2002, tutored by Prof.Zhong Yuzhuo, Major in Multimedia technology

Master

Institute of HCI and Media Integration, Department of Computer Science and Technology，Department of Computer Science and Technology in Tsinghua University, P.R.China, 1997-2000, tutored by Prof.Zhong Yuzhuo, Major in Multimedia technology

B.E.

Department of Automation in Tianjin Institute of Light Industry, P.R.China 1987-1991



Professional Biography

2015/01—2015/02

Visiting EECS Department, Northwestern University,USA

2014/07—2014/08

Visiting Department of Machine Learning, CMU Computer College, Carnegie Mellon University, USA

2011/06—now

Ph.D.Tutor, Graduate School at Shenzhen, Tsinghua University

2006/12 —now

Associate Professor, Graduate School at Shenzhen, Tsinghua University

2005/05—2006/12

Lecturer, Division of Information Science and Technology, Graduate School at Shenzhen, Tsinghua University

2003/03—2004/12

Postdoctoral researcher at the French National Institute for Information and Automation (INRIA-Rocquencourt, Paris);

2002/02—2002/09

Microsoft Research Asia, Internet media Group, Internship

1999/09—2002/12

Department of Computer Science and Technology, Tsinghua University, Institute of Human-Computer Interaction and Media Integration, PhD

1997/03—1999/07

Department of Computer Science and Technology, Tsinghua University, Institute of Human-Computer Interaction and Media Integration, Master



Research Interests
  • Computer Vision
  • Machine Learning
  • Multimedia Technologies and Security
  • Transfer Learning
  • Graph Neural Network
  • Self-supervised Learning
  • Semi-supervised Learning
  • Reinforcement Learning


Research Projects
  NSFC:
  1. NSFC(Nature Science Funding of China) 2018-2021 “Deep Learning based complex objects detection and real time tracking in Airport surveillance” （U1833101）
  2. NSFC(Nature Science Funding of China) 2015-2018 “super-resolution video fast encoding in Airport field” (U1433112)
  3. NSFC(Nature Science Funding of China) 2008-2012 Distributed Video Coding for WMSN key technology research (61170253)


  National 863:
  1. National 863 Project “ Dynamic media business support platform and application demonstration (2015AA015803）
  2. 3DTV content creation, coding and reconstruction of key technologies and prototype systems research (2009AA01Z327)


  National Foundational High Technology Basic Project:
  1. Intelligent digital TV terminal infrastructure software development and industrialization (2013ZX01039001-002)


  Project Co-operation between Guangdong Province and Hongkong
  1. Research about real-time audio-visual platform based on the cloud computing research


  International Science and Technology Cooperation Projects
  1. Sub-pixel Fast Stereo Matching Algorithm and Implementation (with University of Technology Sydney, Australia)
  2. Medical Data Privacy Protection Platform (with Emory University, USA)


  Project from Shenzhen City Government
  1. Shenzhen triple play smart home demonstration project
  2. Shenzhen Science and Technology Commission's “Deep Learning Based Video Object Tracking and Content Analysis”, RMB 2 million.


  Projects from Industry
  1. Virtual Human Body Construction, Tencent Co.
  2. Advertisement Implantation in Video, Huawei Co
  3. Implementation of Scalable Video Coding over STi7108 Chipset, ST Semiconductor Co.
  4. Light Weight Multimedia Environment in Set Top Box, NTT(Japan) Co.
  5. BML improvement in server side, NTT(Japan) Co.


Published Papers
  • 2020
    1. JiayinCai, Chun Yuan, Cheng Shi, Lei Li, Yangyang Cheng, and Ying Shan, Feature Augmented Memory with Global Attention Network for VideoQA, IJCAI 2020 (CCF A) new!
    2. Zhihui Lin, Chun Yuan, and Maomao Li, HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features, IJCAI 2020 (CCF A) new!
    3. Zhihui Lin, Maomao Li, Zhuobin Zheng, Yangyang Cheng, Chun Yuan, Self-Attention ConvLSTM for Spatiotemporal Prediction, AAAI 2020 (CCF A)new!
    4. Yuwei Zhang, Peng Zhang, Chun Yuan, and Zhi Wang, Texture and Shape biased Two-Stream Networks for Clothing Classification and Attribute Recognition, CVPR 2020 (CCF A) new!
    5. Lishu Luo, Chun Yuan, Ke Zhang, Double Shot: Preserve and Erase Based Class Attention Networks for Weakly Supervised Localization, ICME 2020 (CCF B) new!


  • 2019
    1. Zhuobin Zheng, Chun Yuan, Zhihui Lin, Yangyang Cheng, Self-Supervised Mixture-of-Experts by Uncertainty Estimation, AAAI 2019 (accepted)
    2. Zhiming Ma, Chun Yuan, Image-to-Tree: A Tree-structured Decoder for Image Captioning, ICME 2019 (CCF B)
    3. Maomao Li, Chun Yuan, et al. Stochastic Video Generation with Disentangled Representations ICME 2018 (CCF B)


  • 2018
    1. Qiurui Wang, Chun Yuan, Jingdong Wang, Wenjun Zeng, Learning Attentional Recurrent Neural Network for Visual Tracking. IEEE Transactions on Multimedia.in press 2018
    2. Yuwu Lu, Chun Yuan, Wenwu Zhu, Xuenong Li, Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification, IEEE Transaction on Image Processing, in press 2018
    3. Yuwu Lu, Chun Yuan, Xuenong Li, Zhihui Lai, David Zhang, Structurally Incoherent Low-Rank 2DLPP for Image Classification, IEEE Transactions on Circuits and Systems for Video Technology, in press 2018
    4. Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yuang, TreeNet: Learning sentence representations with unconstrained tree structure, in press, IJCAI 2018
    5. Zhuobin Zheng, Chun Yuan, Zhihui Lin, Yangyang Cheng, Hanghao Wu, Self-Adaptive Double bootstrapped DDPG，in press, IJCAI 2018
    6. Yuwu Lu, Chun Yuan, Xuenong Li, Zhihui Lai, David Zhang, Horizontal and Vertical Nuclear Norm-Based 2DLDA for Image Representation, IEEE Transactions on Circuits and Systems for Video Technology, in press 2018
    7. Youcheng Ben, Chun Yuan, Densely stacked generative adversarial networks, ICME 2018
    8. Zhiguan Lin, Chun Yuan, Robust Visual Tracking in Low-Resolution Sequence. IEEE International Conference on Image Processing ICIP 2018,In press
    9. Dali Yang, Chun Yuan. Hierarchical Context Encoder for Events Captioning in Videos, IEEE International Conference on Image Processing, ICIP2018, In Press
    10. Yipeng Ma, Chun Yuan,Efficient Multi-level Correlating for Visual Tracking，ACCV2018 CCF C
    11. Shreyank, Chun Yuan, ColorNet: Investigating the importance of color and color spaces for image classification, ACCV2018 CCF C


  • 2017
    1. Feng Qingxiang, Yuan Chun, Pan Jeng-Shyang, Yang Jar-Ferr, Chou Yang-Ting, Zhou Yicong, Li Weifeng, Superimposed sparse parameter classifiers for face recognition, IEEE Transactions on Cybernetics, February 2017, v 47, n 2, p 378-390, Q1/7.384
    2. Yuwu Lu, Chun Yuan, Zhihui Lai, Xuelong Li, WaiKeung Wong, David Zhang, Nuclear norm-based 2dlpp for image classification, IEEE Transactions on Multimedia, November 2017, v 19, n 11, p 2391-2403, Q1/3.509
    3. Xiaoshui Huang, Jian Zhang, Qiang Wu, Lixin Fan, Chun Yuan, A coarse-to-fine algorithm for matching and registration in 3D cross-source point clouds, IEEE Transactions on Circuits and Systems for Video Technology, July 21, 2017, Q1/3.559
    4. Xiaoshui Huang, Jian Zhang, Lixin Fan, Qiang Wu, Chun Yuan, A systematic approach for cross-source point cloud registration by preserving macro and micro structures, IEEE Transactions on Image Processing, July 2017, v 26, n 7, p 3261-3276, Q1/4.828
    5. Zhou Cheng, Jiancheng Li, Chun Yuan, Gate function based structure-aware convolution for scene semantic segmentation, Proceedings - IEEE International Conference on Multimedia and Expo, August 28, 2017, p 253-258,CCF B
    6. Qiurui Wang, Chun Yuan, Learning attention recurrent neural network for visual tracking, Proceedings - IEEE International Conference on Multimedia and Expo, August 28, 2017, p 1237-1242,CCF B
    7. Xin Qiu, Chun Yuan, Improving object detection with convolutional neural network via iterative mechanism, Proceedings - International Conference on Neural Information Processing, October 28, 2017, p 141-150,CCF C
    8. Liang Yuan, Xin Jin, Yangguang Li, Chun Yuan, Depth map super-resolution via low-resolution depth guided joint trilateral up-sampling, Journal of Visual Communication and Image Representation, July 1, 2017, v 46, p 280-291, Q2/2.164


  • 2016
    1. Qiurui Wang, Chun Yuan, Video Object Segmentation by Multi-Scale Pyramidal Multi-Dimensional LSTM with Generated Depth Context, ICIP 2016, (CCF C)
    2. Jiahui Chen, Chun Yuan, CONVOLUTIONAL NEURAL NETWORK USING MULTI-SCALE INFORMATION FOR STEREO MATCHING COST COMPUTATION ICIP 2016(CCF C)
    3. Qiurui Wang, Chun Yuan, Deep Conditional Neural Network for Image Segmentation, ICME 2016(CCF B)
    4. Lu, YW，Lai, ZH ; Xu, Y; You, J; Li, XL ; Yuan, C, Projective robust nonnegative factorization，INFORMATION SCIENCES, Volume: 364,Pages: 16-32 2016
    5. Lu, YW (Lu, Yuwu); Lai, ZH (Lai, Zhihui); Xu, Y (Xu, Yong); Li, XL (Li, Xuelong); Zhang, D (Zhang, David); Yuan, C (Yuan, Chun), Low-Rank Preserving Projections, IEEE TRANSACTIONS ON CYBERNETICS, Volume: 46,Issue: 8,Pages: 1900-1913 2016
    6. Wang, DY (Wang, Dayong); Sun, Y (Sun, Yu); Bai, MZ (Bai, Mingze); Li, HJ (Li, Hongjian); Yuan, C (Yuan, Chun); Huang, YY (Huang, Yuanyuan),Fast Intra prediction algorithm for quality scalable video coding, SIGNAL IMAGE AND VIDEO PROCESSING, Volume: 10,Issue: 4,Pages: 625-632,2016
    7. Song, JM (Song, Jinmeng); Yuan, C (Yuan, Chun), Learning Boltzmann Machine with EM-like Method,2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) Pages: 2282-2289, 2016
    8. Jiancheng Li; Chun Yuan tomatic Image Annotation Using Adaptive Weighted Distance in Improved K Nearest Neighbors Framework, CM 2016. 17th Pacific-Rim Conference on Multimedia 2016
    9. Jieru Wang; Chun Yuan, Facial expression recognition with multi-scale convolution neural network PCM 2016. 17th Pacific-Rim Conference on Multimedia,2016
    10. Zhicheng Wang; Chun Yuan, Object detection based on scene understanding and enhanced proposals , M 2016. 17th Pacific-Rim Conference on Multimedia,2016


  • 2015
    1. Zhihui Lin, Chun Yuan, A Very Deep Sequences Learning Approach for Human Action Recognition, MMM2016, IEEE International Conference On MultiMedia Modelling, CCF C
    2. Qiurui Wang, Chun Yuan, Feiyue Huang(Tencent), Chengji Wang(Tencent), Human Parsing via Shape Boltzmann Machine Networks, Pacific-Rim Conference on Multimedia (PCM) 2015, Guangju, Korea, CCF C
    3. Qingxiang Feng, hun Yuan, CENTER-BASED WEIGHTED KERNEL LINEAR REGRESSION FOR IMAGE CLASSIFICATION”,IEEE International Conference on Image Processing（ICIP）2015，Quebec, Canada， CCF C
    4. Xiaoshui Huang,Chun Yuan, Graph cuts stereo matching based on Patch-Match and ground control points constraint, Pacific-Rim Conference on Multimedia (PCM) 2015, Guangju,Korea, CCF C

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