ARTS
VRLAB BUAA
Jia Li (李 甲)
Associate Professor
State Key Laboratory of Virtual Reality Technology and Systems
School of Computer Science and Engineering, Beihang University


Office: 
Phone: 
Fax: 
Email: 

Biography


Jia Li received the B.E. degree from Tsinghua University in July 2005 and Ph.D. degree from Chinese Academy of Sciences in January 2011, respectively. During 2011 and 2013, he used to serve as a research fellow and visiting assistant professor in Nanyang Technological University, Singapore. As an attempt to integrate academic research into industrial products, he worked at Shanda Innovations as a Senior Researcher during July 2011 and September 2012. In June 2014, he joined Beihang University, where he is currently an associate professor in School of Computer Science and Engineering.


Research Areas


  • Computer Vision
  • Virtual Reality

Selected Honors & Awards


  • Best Paper Award (最佳论文奖), IEEE International Conference on Multimedia Big Data, 2015
  • Excellent Doctoral Dissertation Award (北京市优博), Beijing Municipal Education Commission, 2012
  • Excellent Doctoral Dissertation Award (中科院优博), Chinese Academy of Sciences, 2012
  • Special Prize of President Scholarship (中科院院长特别奖) , Chinese Academy of Sciences, 2011
  • Science-Technology Progress Award, First Grade (Rank: 9/11), Ministry of Education, 2010

Selected Publications


  1. 【综述】虚拟现实技术研究进展
    赵沁平,周彬*,李甲,陈小武
    科技导报,2016
  2. 【Monograph】Visual Saliency Computation: A Machine-Learning Perspective
    Jia Li*, Wen Gao*
    Springer LNCS Series, May, 2014 (240 pages)
  3. Finding the Secret of Image Saliency in the Frequency Domain
    Jia Li, Lingyu Duan*, Xiaowu Chen, Tiejun Huang, Yonghong Tian
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015.
  4. Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation
    Jia Li*, Yonghong Tian*, Xiaowu Chen, Tiejun Huang
    International Journal of Computer Vision (IJCV), 2016.
  5. Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes
    Yonghong Tian, Jia Li*, Shui Yu and Tiejun Huang
    International Journal of Computer Vision (IJCV), 2015.
  6. Visual Saliency with Statistical Priors
    Jia Li, Yonghong Tian and Tiejun Huang
    International Journal of Computer Vision (IJCV), 2014.
  7. Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video
    Jia Li, Yonghong Tian, Tiejun Huang and Wen Gao
    International Journal of Computer Vision (IJCV), 2010.
  8. Salient Object Detection: A Benchmark
    Ali Borji, Mingming Cheng, Huaizu Jiang, Jia Li
    IEEE Transactions on Image Processing (TIP), 2015.
  9. Removing Label Ambiguity in Learning-Based Visual Saliency Estimation
    Jia Li, Dong Xu and Wen Gao
    IEEE Transactions on Image Processing (TIP), 2012.
  10. 6-DOF Image Localization from Massive Geo-tagged Reference Images
    Yafei Song, Xiaowu Chen*, Xiaogang Wang, Yu Zhang, Jia Li
    IEEE Transactions on Multimedia (TMM), 2016.
  11. Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis
    Shu Fang, Jia Li*, Yonghong Tian*, Tiejun Huang, Xiaowu Chen
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2016.
  12. Multi-Task Rank Learning for Visual Saliency Estimation
    Jia Li, Yonghong Tian, Tiejun Huang and Wen Gao
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2011.
  13. Multi-task Rank Learning for Image Quality Assessment
    Long Xu, Jia Li, Weisi Lin, Yongbing Zhang*, Lin Ma, Yuming Fang and Yihua Yan
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
  14. Structure-adaptive Shape Editing for Man-made Objects
    Qiang Fu, Xiaowu Chen*, Xiaoyu Su, Jia Li and Hongbo Fu
    Computer Graphics Forum (CGF), 2016.
  15. Image Saliency Estimation via Random Walk Guided By Informativeness and Latent Signal Correlations
    JiaLi, Shu Fang, Yonghong Tian*, Tiejun Huang, Xiaowu Chen
    Signal Processing: Image Communication, 2015.
  16. A Data-driven Metric for Comprehensive Evaluation of Saliency Models
    Jia Li*, Changqun Xia, Yafei Song, Shu Fang, Xiaowu Chen*
    International Conference on Computer Vision (ICCV), 2015.
  17. Semantic Object Segmentation via Detection in Weakly Labeled Video
    Yu Zhang, Xiaowu Chen*, Jia Li, Chen Wang, Changqun Xia
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  18. Robust Multiple Cameras Pedestrian Detection with Multi-view Bayesian Network
    Peixi Peng, Yonghong Tian*, Yaowei Wang, Jia Li and Tiejun Huang
    Pattern Recognition, 2015.
  19. Fast estimation of relative poses for 6-DOF image localization
    Yafei Song, Xiaowu Chen*, Xiaogang Wang, Yu Zhang, Jia Li
    IEEE International Conference on Multimedia Big Data (BigMM), 2015. [Best Paper Award]
  20. Cost-Sensitive Rank Learning from Positive and Unlabeled Data for Visual Saliency Estimation
    Jia Li, Yonghong Tian, Tiejun Huang and Wen Gao
    IEEE Signal Processing Letter (SPL), 2010. (Front Cover Article)

Selected Projects


  • PI: Saliency-guided Segmentation and Semantic Analysis of Foreground Objects, NSFC, 2017-2020 (面上)
  • PI: Learning-based Visual Saliency Computation using Latent Correlations, NSFC, 2014-2017 (面上)
  • PI: Technologies of *** Intelligence, 863, 2015-2016 (863课题)
  • Deputy-PI: Technologies of *** Video Detection, CNCERT/CC, 2015-2016 (互联网应急中心课题)
  • Sub-project PI: Data-driven Editing and Generation of Interactable Content, NSFC, 2016-2020 (重点)

Professional Membership & Services


  • CCF Technical Committee of Virtual Reality and Visualization, Member
  • CCF Technical Committee of Computer Vision, Member
  • CCF Member, ACM Member, IEEE Senior Member
  • SIGGRAPH Asia 2015 Technical Briefs and Poster Program Assistant
  • Technical Program Committee Member of IEEE BigMM 2015-2016, ICVRV 2016, CCPR 2016, IGTA 2016
  • Journal Reviewer of TPAMI, IJCV, TIP, TCYB, TNNLS, TCSVT, TMM, TVCJ, etc.

Students


  • Ph.D. : Kui Fu (2016), Changqun Xia (2013, co-supervised with Prof. Xiaowu Chen)
  • Master: Pengcheng Yuan (2016), Ruizhi Zhang (2016), Lishi Zhang (2015)

Copyright © 2002 Beihang University. All rights reserved.