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Jieqi Shi

Assistant Professor
Nanjing University(Suzhou Campus)
jayceesjq (at) gmail.com


About Me

I am currently an Assistant Professor in School of Intelligence Science and Technology, Nanjing University(Suzhou Campus). Before that, I spent five wonderful years in HKUST, and finished my PhD education and Postdoc Research in UAV Group, supervised by Prof. Shaojie Shen. I received my bachelor’s degree in School of Electronic Engineering and Computer Science, Peking University. I was a research intern at Carnegie Mellon University, Megvii. Co, and Dji Automotive.

Research Interests

News

Publications

  1. RAL
    You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised Learning.
    J. Shi, P. Li, X. Chen and S. Shen.
    IEEE Robotics and Automation Letters, 8(10), pp. 6811-6818, August 2023.
    PDF Presented at ICRA 2024

  2. RAL
    FM-fusion: instance-aware semantic mapping boosted by vision-language foundation models.
    C. Liu, K. Wang, J. Shi, Z. Qiao and S. Shen.
    IEEE Robotics and Automation Letter, 1(8), pp. 0-0, January 2024.
    PDF Will be presented at IROS 2024

  3. ICRA
    Are all point clouds suitable for completion? Weakly supervised quality evaluation network for point cloud completion.
    J. Shi, P. Li, X. Chen and S. Shen.
    In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), London, UK, May 2023.
    PDF

  4. ICRA
    Efficient Implicit Neural Reconstruction Using LiDAR.
    D. Yan, X. Lyu, J. Shi and Y. Lin.
    In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), London, UK, May 2023.
    PDF

  5. RAL
    Temporal point cloud completion with pose disturbance.
    J. Shi, L. Xu, P. Li, X. Chen and S. Shen.
    IEEE Robotics and Automation Letters, January 2022.
    PDF Presented at ICRA 2022.

  6. RAL
    Graph guided deformation for point cloud completion.
    J. Shi, L. Xu, L. Heng and S. Shen.
    IEEE Robotics and Automation Letters, July 2021.
    PDF Presented at IROS 2021.

  7. PAD
    Tracking from patterns: learning corresponding patterns in point clouds for 3D object tracking.
    J. Shi, P. Li and S. Shen.
    Workshop on Perception for Autonomous Driving (PAD), the European Conference on Computer Vision (ECCV), virtual, August 2020.
    PDF

  8. CVPR
    Joint spatial-temporal optimization for stereo 3D object tracking.
    P. Li, J. Shi and S. Shen.
    In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 6876-6885, Seattle, Washington, USA, June 2020.
    PDF

  9. ICCR
    Coarse-To-Fine Visual Localization Using Semantic Compact Map.
    Z. Liao, J. Shi, X. Qi, X. Zhang, W. Wang, Y. He, R. Wei and X. Liu.
    2020 3rd International Conference on Control and Robots (ICCR), pages 30-37, 2020.
    PDF

  10. ICRA
    An Efficient Volumetric Mesh Representation for Real-time Scene Reconstruction using Spatial Hashing.
    W. Dong, J. Shi, W. Tang, X. Wang and H. Zha.
    In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), pages 6323-6330, 2018
    PDF

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