Luis (Li) Li

Profile

I am a postdoctoral researcher in the King’s Laboratory for Intelligent Computing (KLIC) at King’s College London, working with Prof Bipin Rajendran. My research interest is on analog in-memory-computing (AIMC) and hardware acceleration algorithms for artificial intelligence.

Before that, I completed my PhD in Computer Science at Durham University, supervised by Prof Toby Breckon and Prof Hubert P. H. Shum. My research pursues to better 3D perception and semantic scene understanding based on computer vision and deep learning. I was awarded as the runner-up for the 2024 BMVA Sullivan Doctoral Thesis Prize in recognition of my contributions to computer vision research in the UK.

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 worked on semantic scene understanding for UAVs and UGVs with Prof Hong Gu.

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.

Publications

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

Li Li, Hubert P. H. Shum, and Toby P. Breckon

ECCV 2024 ORAL

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Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation

Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation

Li Li, Hubert P. H. Shum, and Toby P. Breckon

CVPR 2023

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TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training

TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training

Li Li, Tanqiu Qiao, Hubert P. H. Shum, and Toby P. Breckon

British Machine Vision Conference (BMVC)

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On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR

On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR

Li Li

PhD Thesis, Durham University - the 2024 Sullivan Doctoral Thesis Prize runner-up

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An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models

Jiahao Sun, Xiang Xu, Lingdong Kong, Youquan Liu, Li Li, Chenming Zhu, Jingwei Zhang, Zeqi Xiao, Runnan Chen, Tai Wang, Wenwei Zhang, Kai Chen, and Chunmei Qing

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Inclusive AI-driven Music Chatbots for Older Adults

Inclusive AI-driven Music Chatbots for Older Adults

Farkhandah Aziz, Effie Law, Li Li, and Shuang Chen

Engineering Interactive Systems Embedding AI Technologies

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