Jin Gao
Ph.D., Associate Professor
National Laboratory of Pattern Recognition
Institute of Automation Chinese Academy of Sciences

Email / GitHub / Google Scholar / Curriculum Vitae (CV)

Biography

I am currently an Associate Professor with National Laboratory of Pattern Recognition at the Institute of Automation, Chinese Academic of Sciences (CASIA), Beijing, China. I received the Ph.D. degree in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences (UCAS) at CASIA in 2015. My supervisor is Prof. Weiming Hu. Before that, I received the B. Eng degree from Beihang University (BUAA), Beijing, China, in 2010.

My research interests include computer vision and machine learning, with a focus on visual tracking. My goal is to develop fundamental algorithms and practical systems for autonomous robots, such as Wheeled Mobile Robots, Self-driving Cars.

News

  • 2020-05: Two papers are accepted by ICIP 2020.
  • 2020-03: I became able to supervise Master's students. Please do not hesitate to drop me an email if you are interested in working with me.
  • 2020-02: One paper is accepted by CVPR 2020 as ORAL presentation.
  • 2019-12: I was elected as a member of the Youth Innovation Promotion Association, CAS.
  • 2019-10: I received MSRA Visiting Young Faculty Program (StarTrack) Award, thanks MSRA!

Publications

Recursive Least-squares Estimator-aided Online Learning for Visual Tracking
Jin Gao, Weiming Hu, Yan Lu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, June 2020.

Code | bibtex
  @InProceedings{Gao_2020_CVPR,
    author = {Gao, Jin and Hu, Weiming and Lu, Yan},
    title = {Recursive Least-squares Estimator-aided Online Learning for Visual Tracking},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2020}
  }
      
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning
Jin Gao, Qiang Wang, Junliang Xing, Haibing Lin, Weiming Hu, Stephen Maybank
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Apr. 2020.

IEEE | Results | bibtex
  @article{Gao_2020_TPAMI,
    title = {Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning},
    journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
    author = {Gao, Jin and Wang, Qiang and Xing, Junliang and Ling, Haibin and Hu, Weiming and Maybank, Stephen},
    volume={42},
    number={4},
    pages={939-955},
    month = {Apr.},
    year = {2020}
  }
      
Visual Tracking via Spatially Aligned Correlation Filters Network
Mengdan Zhang *, Qiang Wang *, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank
European Conference on Computer Vision (ECCV), Munich, Sept. 2018.

PDF | bibtex
  @InProceedings{Zhang_2018_ECCV,
  author = {Zhang, Mengdan and Wang, Qiang and Xing, Junliang and Gao, Jin and Peng, Peixi and Hu, Weiming and Maybank, Steve},
  title = {Visual Tracking via Spatially Aligned Correlation Filters Network},
  booktitle = {The European Conference on Computer Vision (ECCV)},
  month = {Sept.},
  year = {2018}
  }
      
SPCNet: Scale Position Correlation Network for End-to-End Visual Tracking
Qiang Wang, Jin Gao, Mengdan Zhang, Junliang Xing, Weiming Hu
International Conference on Pattern Recognition (ICPR), Beijing, Aug. 2018.

PDF | IEEE | bibtex
  @InProceedings{Wang_2018_ICPR,
  author = {Wang, Qiang and Gao, Jin and Xing, Junliang and Mengdan Zhang and Hu, Weiming and Maybank, Stephen},
  title = {SPCNet: Scale Position Correlation Network for End-to-End Visual Tracking},
  booktitle = {International Conference on Pattern Recognition (ICPR)},
  month = {Aug.},
  year = {2018}
  }
      
Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking
Qiang Wang *, Mengdan Zhang *, Junliang Xing, Jin Gao, Weiming Hu, Steve Maybank
International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, July 2018.

PDF | bibtex
  @inproceedings{Wang_2018_IJCAI,
    title     = {Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking},
    author    = {Qiang Wang and Mengdan Zhang and Junliang Xing and Jin Gao and Weiming Hu and Steve Maybank},
    booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
                 Artificial Intelligence, {IJCAI-18}},
    publisher = {International Joint Conferences on Artificial Intelligence Organization},             
    pages     = {985--991},
    year      = {2018},
    month     = {7},
    doi       = {10.24963/ijcai.2018/137},
    url       = {https://doi.org/10.24963/ijcai.2018/137},
  }
      
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking
Qiang Wang *, Zhu Teng *, Junliang Xing, Jin Gao, Weiming Hu, Steve Maybank
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, June 2018.

PDF | bibtex
  @InProceedings{Wang_2018_CVPR,
  author = {Wang, Qiang and Teng, Zhu and Xing, Junliang and Gao, Jin and Hu, Weiming and Maybank, Stephen},
  title = {Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = {June},
  year = {2018}
  }
      
Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking
Weiming Hu, Jin Gao, Junliang Xing, Chao Zhang, Stephen Maybank
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Jan. 2017.

IEEE | bibtex
  @article{Gao_2017_TPAMI,
    title={Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking},
    author={Hu, Weiming and Gao, Jin and Xing, Junliang and Zhang, Chao and Maybank, Stephen},
    journal={IEEE Trans. Pattern Anal. Mach. Intell.},
    volume={39},
    number={1},
    pages={172-188},
    month={Jan.},
    year={2017}
  }
      
Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation
Mengdan Zhang, Junliang Xing, Jin Gao, Xinchu Shi, Qiang Wang, Weiming Hu
The IEEE International Conference on Computer Vision Workshop (ICCVW), Santiago, Dec. 2015.

PDF | bibtex
  @InProceedings{Zhang_2015_ICCVW,
  author = {Zhang, Mengdan and Xing, Junliang and Gao, Jin and Shi, Xinchu and Wang, Qiang and Hu, Weiming},
  title = {Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation},
  booktitle = {The IEEE International Conference on Computer Vision Workshop (ICCVW)},
  month = {Dec.},
  year = {2015}
  }
      
Robust Visual Tracking Using Joint Scale-Spatial Correlation Filters
Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu
The IEEE International Conference on Image Processing (ICIP), Quebec City, Sept. 2015.

PDF | bibtex
  @InProceedings{Zhang_2015_ICIP,
  author = {Zhang, Mengdan and Xing, Junliang and Gao, Jin and Hu, Weiming},
  title = {Robust Visual Tracking Using Joint Scale-Spatial Correlation Filters},
  booktitle = {The IEEE International Conference on Image Processing (ICIP)},
  month = {Sept.},
  year = {2015}
  }
      
Transfer Learning Based Visual Tracking with Gaussian Processes Regression
Jin Gao, Haibing Lin, Weiming Hu, Junliang Xing
European Conference on Computer Vision (ECCV), Zurich, Sept. 2014.

PDF | bibtex
  @InProceedings{Gao_2014_ECCV,
  author = {Gao, Jin and Lin, Haibing and Hu, Weiming and Xing, Junliang},
  title = {Transfer Learning Based Visual Tracking with Gaussian Processes Regression},
  booktitle = {The European Conference on Computer Vision (ECCV)},
  month = {September},
  year = {2014}
  }
      
Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement
Jin Gao, Junliang Xing, Weiming Hu, Steve Maybank
The IEEE International Conference on Computer Vision (ICCV), Sydney, Dec. 2013.

PDF | bibtex
  @InProceedings{Gao_2013_ICCV,
  author = {Gao, Jin and Xing, Junliang and Hu, Weiming and Maybank, Steve},
  title = {Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {Dec.},
  year = {2013}
  }
      
Graph Embedding Based Semi-Supervised Discriminative Tracker
Jin Gao, Junliang Xing, Weiming Hu, Xiaoqin Zhang
The IEEE International Conference on Computer Vision Workshop (ICCVW), Sydney, Dec. 2013.

PDF | bibtex
  @InProceedings{Gao_2013_ICCVW,
  author = {Gao, Jin and Xing, Junliang and Hu, Weiming and Zhang, Xiaoqin},
  title = {Graph Embedding Based Semi-Supervised Discriminative Tracker},
  booktitle = {The IEEE International Conference on Computer Vision Workshop (ICCVW)},
  month = {Dec.},
  year = {2013}
  }
      
Robust Object Tracking with Online Multi-lifespan Dictionary Learning
Junliang Xing, Jin Gao, Bing Li, Weiming Hu, Shuicheng Yan
The IEEE International Conference on Computer Vision (ICCV), Sydney, Dec. 2013.

PDF | bibtex
  @InProceedings{Xing_2013_ICCV,
  author = {Xing, Junliang and Gao, Jin and Li, Bing and Hu, Weiming and Yan, Shuicheng},
  title = {Robust Object Tracking with Online Multi-lifespan Dictionary Learning},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {Dec.},
  year = {2013}
  }
      
Multi-object Tracking Under Occlusion Using Dual-Mode Graph Embedding
Jin Gao, Junliang Xing, Weiming Hu, Xiaoqin Zhang, Ruiguang Hu
The IAPR Asian Conference on Pattern Recognition (ACPR), Okinawa, Nov. 2013.

IEEE | bibtex
  @InProceedings{Gao_2013_ACPR,
  author = {Gao, Jin and Xing, Junliang and Hu, Weiming and Zhang, Xiaoqin and Hu, Ruiguang},
  title = {Multi-object Tracking Under Occlusion Using Dual-Mode Graph Embedding},
  booktitle = {The IAPR Asian Conference on Pattern Recognition (ACPR)},
  month = {Nov.},
  year = {2013}
  }
      

Preprints

DCFNet: Discriminant Correlation Filters Network for Visual Tracking
Qiang Wang, Jin Gao, Junliang Xing, Mengdan Zhang, Weiming Hu
arXiv preprint arXiv: 1704.04057, 2017.

arXiv | Code (MatConNet/PyTorch) | bibtex
  @article{Wang2017dcfnet,
  title={Dcfnet: Discriminant correlation filters network for visual tracking},
  author={Wang, Qiang and Gao, Jin and Xing, Junliang and Zhang, Mengdan and Hu, Weiming},
  journal={arXiv preprint arXiv:1704.04057},
  year={2017}
  }
      

Professional Activities

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Journal Review


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