James Tu

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 23

Top Topics

Autonomous Vehicles

Complexity Measures

Object Detection

Top Venues

Publications

Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun
MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation. CVPR (2023)
Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
Learning Realistic Traffic Agents in Closed-loop. CoRL (2023)
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRR (2023)
James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun
Towards Scalable Coverage-Based Testing of Autonomous Vehicles. CoRL (2023)
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRL (2023)
Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
Learning Realistic Traffic Agents in Closed-loop. CoRR (2023)
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. CoRL (2021)
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CoRR (2021)
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CVPR (2021)
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
Adversarial Attacks On Multi-Agent Communication. ICCV (2021)
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
Adversarial Attacks On Multi-Agent Communication. CoRR (2021)
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving. CoRR (2021)
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
Diverse Complexity Measures for Dataset Curation in Self-Driving. IROS (2021)
Alex Chang, Vinith M. Suriyakumar, Abhishek Moturu, James Tu, Nipaporn Tewattanarat, Sayali Joshi, Andrea Doria, Anna Goldenberg
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI. CoRR (2021)
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
Diverse Complexity Measures for Dataset Curation in Self-driving. CoRR (2021)
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
Physically Realizable Adversarial Examples for LiDAR Object Detection. CVPR (2020)
Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun
StrObe: Streaming Object Detection from LiDAR Packets. CoRL (2020)
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
Physically Realizable Adversarial Examples for LiDAR Object Detection. CoRR (2020)
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
Learning to Communicate and Correct Pose Errors. CoRL (2020)
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. CoRR (2020)
Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun
StrObe: Streaming Object Detection from LiDAR Packets. CoRR (2020)
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
Learning to Communicate and Correct Pose Errors. CoRR (2020)
Zhiming Hu, James Tu, Baochun Li
Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning. ICDCS (2019)