James Tu

University of Toronto — Canada

Engineering · Physical Sciences

9h-index582citations26works0.02yr avg
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Research Topics

Autonomous Vehicle Technology and Safety(9), Advanced Neural Network Applications(7), Anomaly Detection Techniques and Applications(7), Adversarial Robustness in Machine Learning(7), Bacillus and Francisella bacterial research(4)

Publications26 total

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
arXiv (Cornell University)·2023· 2 citedOpen Access
Learning Realistic Traffic Agents in Closed-loop
arXiv (Cornell University)·2023Open Access
MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation
2023· 24 cited
Adversarial Attacks On Multi-Agent Communication
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 2 citedOpen Access
Diverse Complexity Measures for Dataset Curation in Self-Driving
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)·2021· 11 cited
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
2021· 152 cited
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
arXiv (Cornell University)·2021Open Access
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in\n Self Driving
arXiv (Cornell University)·2021· 31 citedOpen Access
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
arXiv (Cornell University)·2021· 17 citedOpen Access
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
arXiv (Cornell University)·2021· 9 citedOpen Access
Diverse Complexity Measures for Dataset Curation in Self-driving
arXiv (Cornell University)·2021Open Access
StrObe: Streaming Object Detection from LiDAR Packets
arXiv (Cornell University)·2020· 8 citedOpen Access
Learning to Communicate and Correct Pose Errors
arXiv (Cornell University)·2020· 9 citedOpen Access
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
arXiv (Cornell University)·2020· 14 citedOpen Access
Physically Realizable Adversarial Examples for LiDAR Object Detection
2020· 211 cited
Physically Realizable Adversarial Examples for LiDAR Object Detection
arXiv (Cornell University)·2020· 16 citedOpen Access
StrObe: Streaming Object Detection from LiDAR Packets
Conference on Robot Learning·2020· 5 cited
Learning to Communicate and Correct Pose Errors
Conference on Robot Learning·2020· 1 cited
Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning
2019· 64 cited
Big Data computation for workshop-based planning
2015
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Frequent Co-authors

Raquel Urtasun(17), Mengye Ren(9), Sergio Casas(7), Sivabalan Manivasagam(6), Jingkang Wang(6), Ming Liang(4), Abbas Sadat(4), Ersin Yumer(4), Bin Yang(3), Simon Su(3), Richard Du(2), Frank Cheng(2), Ava Pun(2), Huichen Li(2), Xinchen Yan(2), Yun Chen(2), Eilyan Bitar(2), Kelvin K. L. Wong(2), Sean Segal(2), Nicholas Vadivelu(2)