Thomas EnXu Li

I am a PhD student under the Department of Computer Science at the University of Toronto, advised by Prof. Raquel Urtasun. Meanwhile, I am a research scientist at Waabi working on 3D perception. I earned my B.A.Sc in Engineering Science from University of Toronto, majoring in Robotics Engineering and minoring in Artificial Intelligence .

What I value the most is creativity and productivity.

Email / CV / Google Scholar / Github / LinkedIn

Research

I'm interested in computer vision, machine learning, and robotics. Much of my research is about 3D perception with LiDAR point clouds.

	4D-Former: Multimodal 4D Panoptic Segmentation Ali Athar, Enxu Li*, Sergio Casas, Raquel Urtasun Conference on Robot Learning (CoRL)*, 2023 \| Atlanta (GA), USA bibtex / website / PDF / arXiv
	MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory Enxu Li, Sergio Casas, Raquel Urtasun IEEE International Conference on Computer Vision (ICCV), 2023 \| Paris, France bibtex / website / PDF / arXiv
	CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu IEEE International Conference on Robotics and Automation (ICRA) ,2023 \| London, UK bibtex / PDF / arXiv
	MoSS: Monocular Shape Sensing for Continuum Robots Chengnan Shentu, Enxu Li**, Chaojun Chen, Puspita Triana Dewi, David Lindell, Jessica Burgner-Kahrs IEEE Robotics and Automation Letters (RA-L) at RoboSoft 2024 \| San Diego (CA), USA arXiv
	SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu IEEE International Conference on Robotics and Automation (ICRA) ,2022 \| Philadelphia (PA), USA bibtex / PDF / arXiv
	GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu IEEE International Conference on Computer Vision (ICCV), 2021 \| virtual bibtex / PDF / arXiv
	(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2021 \| virtual bibtex / PDF / arXiv

Patents

	System and Method for Proposal-free and Cluster-free Panoptic Segmentation of Point Clouds Enxu Li, Ryan Razani, Bingbing Liu 2021
	System and Method for Panoptic Segmentation of Point Clouds Enxu Li, Ryan Razani, Bingbing Liu 2021
	Methods and Systems for Deterministic Calculation of Surface Normal Vectors for Sparse Point Clouds Enxu Li, Ryan Razani, Yuan Ren, Bingbing Liu 2021

Education

Ph.D in Computer Science
Department of Computer Science, University of Toronto
Sep 2022 - Present | Toronto, ON

GPA: 4.00/4.00

Supervisor: Prof. Raquel Urtasun

B.A.Sc in Engineering Science, Robotics
Faculty of Applied Science and Engineering, University of Toronto
Sep 2017 - Apr 2022 | Toronto, ON

Major GPA: 3.99/4.00, cGPA: 3.87/4.00
W. S. Wilson Medal [top graduating Engineering Science student], 2022
Daisy Intelligence Scholarship [top Robotics Engineering student], 2020
NSERC Undergraduate Research Award, 2019
U of T Scholar, 2017
Dean's Honour List - 2017-2022

Work Experience

Research Scientist

Waabi Innovation Inc.
Aug 2022 - Present | Toronto, ON

Research and development for autonomous trucking. Focused topic: 3D perception, semantic segmentation, sensor fusion.

Projects

	RoboKart: An Intelligent Robotic Shopping Cart Robotics Capstone Project, University of Toronto, Apr 2022 Technical Report / Presentation Desgined RoboKart that can provide a complete robotic shopping experience for supermarket and grocery customers and evaluated its functionalities in Gazebo simulation environment.
	BALL BALL U: An Autonmous Ball Dispensing Prototype Engineering Design Competition 2nd Place, University of Toronto, Apr 2019 Technical Report / Glance / Competition Designed, fabricated and programmed a proof-of-concept robot prototype that autonomously detect and deploy objects to canisters.