General

Email: jin.gao@ia.ac.cn
Graduate Advisor: 26 March, 2020 - Now

Our Lab: http://vslab.ia.ac.cn/
Tel.: 13811651903
Office: Rm. 1511, No. 95 Zhongguancun East Road, Beijing
Tel.: 010-82544516
Google Scholar Profile: https://scholar.google.com/citations?user=z3Z1ZsUAAAAJ&hl=en

Research Interests

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. Please do not hesitate to drop me an email if you are interested in working with me.

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.

Publications

   
Papers

  1. Jin GaoShubo Lin, Shaoru Wang, Yutong Kou, Zeming Li, Liang Li, Congxuan Zhang, Xiaoqin Zhang, Yizheng Wang and Weiming Hu. "Observation, Analysis, and Solution: Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training," arXiv:2404.12210, 2024.
  2. Fudong Ge, Yiwei Zhang, Shuhan Shen, Yue Wang, Weiming Hu and Jin Gao. "BEV2PR: BEV-Enhanced Visual Place Recognition with Structural Cues," arXiv:2403.06600, 2024. (Corresponding author)
  3. Hanshi Wang, Zhipeng Zhang, Weiming Hu and Jin Gao. "A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection," in Proc. of IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024. (Corresponding author).
  4. Yanqin Jiang, Li Zhang, Jin Gao, Weiming Hu and Yao Yao. "Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video," in Proc. of 12th International Conference on Learning Representations (ICLR), 2024.
  5. Yutong Kou, Jin Gao, Bing Li, Gang Wang, Weiming Hu, Yizheng Wang and Liang Li. "ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking," in Proc. of 37th Conference on Neural Information Processing Systems (NeurIPS), 2023. (Spotlight, Acceptance Rate: 3.06%, Corresponding author)
  6. Shihao Feng, Pengpeng Liang, Jin Gao and Erkang Cheng. "Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking," IEEE Robotics and Automation Letters (RA-L), 8(12): 8066-8073, 2023.
  7. Shaoru Wang, Jin Gao, Zeming Li, Xiaoqin Zhang and Weiming Hu. "A Closer Look at Self-Supervised Lightweight Vision Transformers," in Proc. of Int’l Conf. on Machine Learning (ICML), 2023. (Corresponding author)
  8. Xin Yang, Gang Wang, Weiming Hu, Jin Gao, Shubo Lin, Liang Li, Kai Gao and Yizheng Wang. "Video Tiny-Object Detection Guided by the Spatial-Temporal Motion Information," in Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023.
  9. Shaoru Wang, Zeming Li, Jin Gao, Liang Li and Weiming Hu. "DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning," arXiv:2207.06075, 2022. (Corresponding author)
  10. Yanqin Jiang, Li Zhang, Zhenwei Miao, Xiatian Zhu, Jin Gao, Weiming Hu, Yu-Gang Jiang. "PolarFormer: Multi-camera 3D Object Detection with Polar Transformers," in Proc. of AAAI Conf. on Artificial Intelligence (AAAI), 2023. (Oral, Acceptance Rate: 10.8%
  11. Shaoru Wang, Jin Gao, Bing Li and Weiming Hu. "Narrowing the Gap: Improved Detector Training with Noisy Location Annotations," IEEE Trans. on Image Processing (TIP), 31: 6369-6380, 2022. (Corresponding author)
  12. Jin Gao, Yan Lu, Xiaojuan Qi, Yutong Kou, Bing Li, Liang Li, Shan Yu and Weiming Hu. "Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking," IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), in press, 2022.
  13. Zongyang Ma, Guan Luo, Jin Gao, Liang Li, Yuxin Chen, Shaoru Wang, Congxuan Zhang and Weiming Hu. "Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation," in Proc. of IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2022. (Corresponding author, Computer vision top conference)
  14. Zhenbang Li, Yaya Shi, Jin Gao, Shaoru Wang, Bing Li, Pengpeng Liang and Weiming Hu. "A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking," IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 32(6): 3880-3894, 2022. (Corresponding author)
  15. Kaiwen Liu, Jin Gao, Haowei Liu, Liang Li, Bing Li and Weiming Hu. "Exploring Motion Information for Distractor Suppression in Visual Tracking," in Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022. (Corresponding author)
  16. Jin Gao, Qiang Wang, Junliang Xing, Haibing Lin, Weiming Hu and Stephen Maybank. “Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning,” IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 42(4): 939-955, 2020.
  17. Jin Gao, Weiming Hu and Yan Lu. “Recursive Least-squares Estimator-aided Online Learning for Visual Tracking,” in Proc. of IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2020. (Oral, Acceptance Rate: 5% for oral presentations and 17% for posters, Computer vision top conference)
  18. Zongwei Zhou, Yangxi Li, Jin Gao, Junliang Xing, Liang Li, Weiming Hu. “Anchor-Free One-Stage Online Multi-object Tracking,” in Proc. of Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2020. (Best Paper Award)
  19. Zhenbang Li, Bing Li, Jin Gao, Liang Li, Weiming Hu. “Manipulating Template Pixels for Model Adaptation of Siamese Visual Tracking,” IEEE Signal Processing Letters, 27: 1690-1694, 2020. (Corresponding author)
  20. Zhenbang Li, Qiang Wang, Jin Gao, Bing Li and Weiming Hu. “Globally Spatial-Temporal Perception: A Long-term Tracking System,” in Proc. of IEEE Int’l Conf. on Image Processing (ICIP), 2020.
  21. Zhenbang Li, Qiang Wang, Jin Gao, Bing Li and Weiming Hu. “End-To-End Temporal Feature Aggregation for Siamese Trackers,” in Proc. of IEEE Int’l Conf. on Image Processing (ICIP), 2020.
  22. Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu and Steve Maybank. “Visual Tracking via Spatially Aligned Correlation Filters Network,” in Proc. of 15th European Conference on Computer Vision (ECCV), 484-500, 2018. (Acceptance Rate: 31.8%, Computer vision top conference)
  23. Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao and Weiming Hu. “Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking,” in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 4854-4863, 2018. (Acceptance Rate: 29.7%, Computer vision top conference)
  24. Qiang Wang, Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu and Steve Maybank. “Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking,” in Proc. of Int’l Joint Conf. on Artificial Intelligence (IJCAI), 985-991, 2018.
  25. Qiang Wang, Jin Gao, Mengdan Zhang, Junliang Xing and Weiming Hu. “SPCNet: Scale Position Correlation Network for End-to-End Visual Tracking,” in Proc. of the Int’l Conf. on Pattern Recognition (ICPR), 1803-1808, 2018.
  26. Weiming Hu, Jin Gao, Junliang Xing, Chao Zhang and Stephen Maybank. “Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking,” IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 39(1): 172-188, 2017.
  27. Mengdan Zhang, Junliang Xing, Jin Gao, Xinchu Shi, Qiang Wang and Weiming Hu. “Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation,” in Proc. of the IEEE Int’l Conf. on Computer Vision Workshop (ICCVW), 595-603, 2015.
  28. Mengdan Zhang, Junliang Xing, Jin Gao and Weiming Hu. “Robust Visual Tracking Using Joint Scale-spatial Correlation Filters,” in Proc. of IEEE Int’l Conf. on Image Processing (ICIP), 1468-1472, 2015.
  29. Jin Gao, Haibin Ling, Weiming Hu and Junliang Xing. “Transfer Learning Based Visual Tracking with Gaussian Processes Regression,” 13th European Conference on Computer Vision (ECCV), 188-203, 2014. (Acceptance Rate: 25%, Computer vision top conference)
  30. Jin Gao, Junliang Xing, Weiming Hu and Steve Maybank. “Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement,” in Proc. of the IEEE Int’l Conf. on Computer Vision (ICCV), 1569-1576, 2013. (Acceptance Rate: 27.9%, Computer vision top conference)
  31. Jin Gao, Junliang Xing, Weiming Hu and Xiaoqin Zhang. “Graph Embedding Based Semi-supervised Discriminative Tracker,” in Proc. of the IEEE Int’l Conf. on Computer Vision Workshop (ICCVW), 145-152, 2013.
  32. Junliang Xing, Jin Gao, Bing Li, Weiming Hu and Shuicheng Yan. “Robust Object Tracking with Online Multi-lifespan Dictionary Learning,” in Proc. of the IEEE Int’l Conf. on Computer Vision (ICCV), 665-672, 2013. (Acceptance Rate: 27.9%, Computer vision top conference)
  33. Jin Gao, Junliang Xing, Weiming Hu, Xiaoqin Zhang and Ruiguang Hu. “Multi-object Tracking Under Occlusion Using Dual-Mode Graph Embedding,” in Proc. of the 2nd IAPR Asian Conference on Pattern Recognition (ACPR), 2013.


Honors & Distinctions

  • Youth Innovation Promotion Association Membership, CAS, 2020

  • MSRA Visiting Young Faculty Program (StarTrack) Award, 2019

  • Merit Student, University of Chinese Academy of Sciences, June 2014.

  • First-Class Award of National Undergraduate Electronic Design Contest in Beijing Division, December 2009.

  • First-Prize Scholarship of Academic Performance, Beihang University, December 2009.

  • First-Prize Scholarship of Science and Technology Competition, Beihang University, December 2009.

  • Outstanding Student, Beihang University, 2008, 2009.


Professional Activities

Conference Reviewers

  • Neural Information Processing Systems (NeurIPS), 2023

    Int’l Conf. on Learning Representations (ICLR), 2023-2024

  • IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2016-2023

  • IEEE Int’l Conf. on Computer Vision (ICCV), 2017-2023 (biannual)

  • AAAI Conf. on Artificial Intelligence (AAAI), 2020-2024

  • Asian Conf. on Computer Vision (ACCV), 2018-2022 (biannual)

  • European Conf. on Computer Vision (ECCV), 2016-2022 (biannual)

  • British Machine Vision Conference (BMVC), 2019-2022

  • Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2019


Journal Review

  • IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI)

  • International Journal of Computer Vision (IJCV)

  • IEEE Trans. on Image Processing (T-IP)

  • IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT)

  • IEEE Trans. on Systems, Man, and Cybernetics - Part B: Cybernetics (T-CYB)

  • IEEE Access

  • Computer Vision and Image Understanding (CVIU)

  • Pattern Recognition (PR)

  • Neurocomputing

  • Soft Computing