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James Tu
James Tu
Waabi, University of Toronto
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Year
V2vnet: Vehicle-to-vehicle communication for joint perception and prediction
TH Wang, S Manivasagam, M Liang, B Yang, W Zeng, R Urtasun
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2442020
Physically realizable adversarial examples for lidar object detection
J Tu, M Ren, S Manivasagam, M Liang, B Yang, R Du, F Cheng, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2012020
Advsim: Generating safety-critical scenarios for self-driving vehicles
J Wang, A Pun, J Tu, S Manivasagam, A Sadat, S Casas, M Ren, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1142021
Spear: Optimized dependency-aware task scheduling with deep reinforcement learning
Z Hu, J Tu, B Li
2019 IEEE 39th international conference on distributed computing systems …, 2019
652019
Exploring adversarial robustness of multi-sensor perception systems in self driving
J Tu, H Li, X Yan, M Ren, Y Chen, M Liang, E Bitar, E Yumer, R Urtasun
arXiv preprint arXiv:2101.06784, 2021
632021
Adversarial Attacks On Multi-Agent Communication
J Tu, T Wang, J Wang, S Manivasagam, M Ren, R Urtasun
ICCV 2021, 2021
402021
Learning to communicate and correct pose errors
N Vadivelu, M Ren, J Tu, J Wang, R Urtasun
Conference on Robot Learning, 1195-1210, 2021
372021
Strobe: Streaming object detection from lidar packets
D Frossard, S Suo, S Casas, J Tu, R Hu, R Urtasun
CORL 2020, 2020
162020
Mixsim: A hierarchical framework for mixed reality traffic simulation
S Suo, K Wong, J Xu, J Tu, A Cui, S Casas, R Urtasun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
132023
Diverse Complexity Measures for Dataset Curation in Self-driving
A Sadat, S Segal, S Casas, J Tu, B Yang, R Urtasun, E Yumer
IROS 2021, 2021
92021
Systems and methods for training object detection models using adversarial examples
X Tu, S Manivasagam, M Ren, M Liang, B Yang, R Urtasun
US Patent 11,686,848, 2023
62023
Learning Realistic Traffic Agents in Closed-loop
C Zhang, J Tu, L Zhang, K Wong, S Suo, R Urtasun
arXiv preprint arXiv:2311.01394, 2023
32023
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
J Sarva, J Wang, J Tu, Y Xiong, S Manivasagam, R Urtasun
arXiv preprint arXiv:2311.01446, 2023
22023
Towards Scalable Coverage-Based Testing of Autonomous Vehicles
J Tu, S Suo, C Zhang, K Wong, R Urtasun
Conference on Robot Learning, 2611-2623, 2023
2023
Learning Realistic Traffic Agents in Closed-loop
C Zhang, J Tu, L Zhang, K Wong, S Suo, R Urtasun
7th Annual Conference on Robot Learning, 2023
2023
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
A Chang, V Suriyakumar, A Moturu, J Tu, N Tewattanarat, S Joshi, A Doria, ...
arXiv preprint arXiv:2103.13497, 2021
2021
Supplementary Material-STROBE: Streaming Object Detection from LiDAR Packets
D Frossard, S Suo, S Casas, J Tu, R Hu, R Urtasun
The Feminine Mystique: Women & Gaming
T Olson, J Tu
Adversarial Attacks On Multi-Agent Communication-Supplementary Materials
J Tu, T Wang, J Wang, S Manivasagam, M Ren, R Urtasun
Supplementary Material AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
J Wang, A Pun, J Tu, S Manivasagam, A Sadat, S Casas, M Ren, ...
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