James Tu

24 papers A* 4A 2Misc 6Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection.
CoRR
Anqi Joyce Yang, James Tu, Nikita Dvornik, Enxu Li, Raquel Urtasun
2023 Misc conf
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation.
CoRL
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
2023 J jnl
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation.
CoRR
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
2023 Misc conf
Learning Realistic Traffic Agents in Closed-loop.
CoRL
Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
2023 J jnl
Learning Realistic Traffic Agents in Closed-loop.
CoRR
Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
2023 A* conf
MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation.
CVPR
Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun
2023 Misc conf
Towards Scalable Coverage-Based Testing of Autonomous Vehicles.
CoRL
James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun
2021 J jnl
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI.
CoRR
Alex Chang, Vinith M. Suriyakumar, Abhishek Moturu, James Tu, Nipaporn Tewattanarat, Sayali Joshi, Andrea Doria, Anna Goldenberg
2021 A* conf
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.
CVPR
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
2021 J jnl
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.
CoRR
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
2021 A* conf
Adversarial Attacks On Multi-Agent Communication.
ICCV
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021 J jnl
Adversarial Attacks On Multi-Agent Communication.
CoRR
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
2021 A conf
Diverse Complexity Measures for Dataset Curation in Self-Driving.
IROS
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
2021 J jnl
Diverse Complexity Measures for Dataset Curation in Self-driving.
CoRR
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
2021 J jnl
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving.
CoRR
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
2021 Misc conf
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving.
CoRL
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
2020 Misc conf
Learning to Communicate and Correct Pose Errors.
CoRL
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
2020 J jnl
Learning to Communicate and Correct Pose Errors.
CoRR
Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun
2020 A* conf
Physically Realizable Adversarial Examples for LiDAR Object Detection.
CVPR
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
2020 J jnl
Physically Realizable Adversarial Examples for LiDAR Object Detection.
CoRR
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
2020 Misc conf
StrObe: Streaming Object Detection from LiDAR Packets.
CoRL
Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun
2020 J jnl
StrObe: Streaming Object Detection from LiDAR Packets.
CoRR
Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun
2020 J jnl
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.
CoRR
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun
2019 A conf
Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning.
ICDCS
Zhiming Hu, James Tu, Baochun Li