Luis.png

Hey, thanks for stopping by! 👋

I am a final-year PhD candidate in the Department of Computer Science at Durham University, supervised by Prof Toby Breckon and Dr Hubert P. H. Shum. My research pursues to propose 3D perception and semantic scene understanidng architectures based on Computer Vision and Deep Machine Learning. I’m currently the Student Member of IEEE/CVF.

Prior to Durham, I received my bachelor’s degree in Telecommunications Engineering at Nanjing University of Science and Technology (NJUST) in 2020. In NJUST, I used to work on semantic scene understanding for UAVs and UGVs with Prof Hong Gu.

As an enthusiast of open source projects, I maintain and contribute to a number of open source repositories Follow @l1997i.

I am incredibly thankful to my supervisors and collaborators, and enjoy exploring new domains through collaborations. If you have questions or would like to work together, please feel free to reach out through email or grab some time with me for an appointment either online or in person.


News

Jul 1, 2024
RAPiD-Seg was accepted at ECCV 2024.
May 26, 2024
Our Inclusive AI-driven Music Chatbots was accepted at EISEAIT 2024.
Dec 12, 2023
Invited talk (slides) on Autonomous Driving at Hyundai-NGV.
Feb 27, 2023
Less Is More was accepted at CVPR 2023.
Oct 3, 2021
DurLAR was accepted at 3DV 2021.

Selected Publications

  1. rapid-seg.jpg
    RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
    In European Conference on Computer Vision (ECCV), 2024
    (to appear)
    N/A Google Scholar citations   ECCV publisher   Core A* Core Conference link   Core A* H5 Index link   rapid_seg H5 Index link  
  2. lim3d.jpg
    Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    N/A Google Scholar citations   CVPR publisher   Core A* Core Conference link   Core A* H5 Index link   lim3d H5 Index link  
  3. durlar.jpg
    DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications
    Li Li, K.N. Ismail, Hubert P. H. Shum, and Toby P. Breckon
    In International Conference on 3D Vision (3DV), 2021
    N/A Google Scholar citations   3DV publisher    H5 Index link   durlar H5 Index link  
  4. ca4oa.jpg
    Inclusive AI-driven Music Chatbots for Older Adults
    Farkhandah Aziz, Effie Law, Li Li, and Shuang Chen
    In Engineering Interactive Systems Embedding AI Technologies, 2024
    N/A Google Scholar citations   EISEAIT publisher   ca4oa-music-chatbot H5 Index link  
  5. mmdetection3d.jpg
    An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
    Jiahao Sun, Xiang Xu, Lingdong Kong, Youquan Liu, Li Li, and 8 more authors
    2024
    N/A Google Scholar citations   2405.14870 arxiv   open-mmlab/mmdetection3d H5 Index link  

Academic Services

Conference Reviewer
  • IEEE/CVF International Conference on Computer Vision (ICCV)
  • Conference on Neural Information Processing Systems (NeurIPS)
  • International Conference on Learning Representations (ICLR)
  • The British Machine Vision Conference (BMVC)
  • International Conference on Pattern Recognition (ICPR)
Journal Reviewer
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Pattern Recognition (PR)
  • IEEE Robotics and Automation Letters (RA-L)