MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Learning Realistic Traffic Agents in Closed-loop.
Proceedings of the Conference on Robot Learning, 2023
Towards Scalable Coverage-Based Testing of Autonomous Vehicles.
Proceedings of the Conference on Robot Learning, 2023
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation.
Proceedings of the Conference on Robot Learning, 2023
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI.
CoRR, 2021
Diverse Complexity Measures for Dataset Curation in Self-Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Adversarial Attacks On Multi-Agent Communication.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
StrObe: Streaming Object Detection from LiDAR Packets.
CoRR, 2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.
CoRR, 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection.
CoRR, 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Learning to Communicate and Correct Pose Errors.
Proceedings of the 4th Conference on Robot Learning, 2020
StrObe: Streaming Object Detection from LiDAR Packets.
Proceedings of the 4th Conference on Robot Learning, 2020
Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019