James Tu

I am a MSc student under the supervision of professor Raquel Urtasun at the University of Toronto. I also received my bachelors in Engineering Science at the University of Toronto, majoring in eletrical and computer engineering and with a minor in robotics. Previously, I worked as a research scientist on self-driving at Uber ATG and on protein folding at ProteinQure. In my spare time I like to go rock climbing, listen to music, and play guitar.

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I'm interested in computer vision, machine learning, self-driving, and reinforcement learning. My research so far has focused on self-driving, particularly regarding adversarial robustness, perception, and vehicle-to-vehicle communication.

Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
Arxiv, 2021
abstract | arXiv

Adversarial Attacks Against Multi-Agent Communication
James Tu*, Tsunhsuan Wang*, Jingkang Wang, Siva Manivasagam, Mengye Ren, Raquel Urtasun
ICCV, 2021
abstract | arXiv
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
Jingkang Wang, Ava Pun, James Tu, Siva Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
CVPR, 2021
abstract | arXiv
Diverse Complexity Measuresfor Dataset Curation in Self-driving
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
IROS, 2021
abstract | arXiv
StrObe: Streaming Object Detection fromLiDAR Packets
Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun
CoRL, 2020
abstract | arXiv
Learning to Communicate and Correct Pose Errors
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
CoRL, 2020
abstract | arXiv
V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun
ECCV, 2020
abstract | arXiv
Physcally Realizable Adversarial Examples For LiDAR Object Detection
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du,
Frank Cheng, Raquel Urtasun
CVPR, 2020
abstract | arXiv
Spear: Optimized dependency-aware task scheduling with deep reinforcement learning
Zhiming Hu, James Tu, Baochun Li
ICDCS, 2019
abstract | Paper