Wong, Kelvin

10 publications

ECCV 2024 Learning to Drive via Asymmetric Self-Play Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, 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 SceneGen: Learning to Generate Realistic Traffic Scenes Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun

CVPR 2020 LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

NeurIPS 2020 MuSCLE: Multi Sweep Compression of LiDAR Using Deep Entropy Models Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun

CVPR 2020 OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun

ECCV 2020 Testing the Safety of Self-Driving Vehicles by Simulating Perception and Prediction Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun

CoRL 2019 Identifying Unknown Instances for Autonomous Driving Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun