Tu, James

10 publications

CoRL 2025 FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection Anqi Joyce Yang, James Tu, Nikita Dvornik, Enxu Li, Raquel Urtasun

CoRL 2023 Adv3D: Generating Safety-Critical 3D Objects Through Closed-Loop Simulation Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun

CoRL 2023 Learning Realistic Traffic Agents in Closed-Loop Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun

CVPR 2023 MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun

CoRL 2023 Towards Scalable Coverage-Based Testing of Autonomous Vehicles James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun

CVPR 2021 AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun

ICCV 2021 Adversarial Attacks on Multi-Agent Communication James Tu, Tsunhsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun

CoRL 2021 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

CoRL 2020 Learning to Communicate and Correct Pose Errors Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun

CoRL 2020 StrObe: Streaming Object Detection from LiDAR Packets Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun