Tianshu Kuai

I am an incoming CS PhD student at the Université de Montréal and Mila, advised by Prof. Noam Aigerman.

I was a master student in the Department of Computer Science at the University of Toronto, advised by Prof. Igor Gilitschenski. Before that, I graduated from the Engineering Science program at the University of Toronto, majoring in Robotics. I was fortunate to work with Prof. Steven L. Waslander on 3D LiDAR object detection during my undergraduate studies. I also did a research internship at Samsung AI Center Toronto in 2023, working with Dr. Alex Levinshtein.

I am interested in the fields of 3D vision and graphics, and my current research focuses on 3D scene understanding and manipulation. Previously, I worked on supervised/self-supervised learning for perception in autonomous driving.

Email / CV / Google Scholar / Github / LinkedIn / Twitter

Research

CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos
Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski
CVPR 2023 Workshop
project page / paper / arXiv / code / data

A novel pipeline for building 3D animatable models for articulated and deformable objects from monocular videos without any shape prior or template.

Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
Anas Mahmoud, Jordan S.K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
CVPR 2023
paper / arXiv

A self-supervised 2D-to-3D representation learning framework for LiDAR semantic segmentation in autonomous driving.

Point Density-Aware Voxels for LiDAR 3D Object Detection
Jordan S.K. Hu, Tianshu Kuai, Steven L. Waslander
CVPR 2022
paper / arXiv / code

An end-to-end two stage LiDAR 3D object detection architecture designed to account for point cloud density variations.

Education

MSc in Applied Computing (MScAC), AI Concentration
Department of Computer Science, University of Toronto
Sep 2022 - Dec 2023 | Toronto, ON

BASc in Engineering Science, Robotics
Faculty of Applied Science and Engineering, University of Toronto
Sep 2017 - Apr 2022 | Toronto, ON

University of Toronto Excellence Award
NSERC Undergraduate Research Award
Dean's Honour List

Experience

Research Intern
Samsung AI Center Toronto
May 2023 - April 2024 | Toronto, ON

Research on diffusion model based real-world image restoration and enhancement.

3D Computer Vision Researcher
Toronto Intelligent Systems Lab | Advised by Prof. Igor Gilitschenski
Department of Computer Science, University of Toronto
May 2022 - Current | Toronto, ON

Research on 3D scene representation and manipulation.

Computer Vision Researcher
Toronto Robotics and AI Lab | Advised by Prof. Steven L. Waslander
UTIAS, University of Toronto
May 2021 - April 2023 | Toronto, ON

Research on supervised/self-supervised LiDAR 3D perception models for autonomous vehicles.

Machine Learning Research Intern
Qualcomm
May 2020 - May 2021 | Toronto, ON

Research on deep learning based models for audio signal processing and state-of-the-art methods for neural network compression, and contributed to NPU software compiler pipeline development.

Academic Service

Reviewer: CVPR 2023, WACV 2024, ECCV 2024

Misc

I am involved in maintaining a curated list of papers in NeRF Editing at awesome-nerf-editing. We welcome contributions to continue expanding and improving this collection.