| Lidar-video driving dataset: Learning driving policies effectively Y Chen, J Wang, J Li, C Lu, Z Luo, H Xue, C Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 144 | 2018 |
| Reinforcement learning with perturbed rewards J Wang, Y Liu, B Li Proceedings of the AAAI Conference on Artificial Intelligence 34, 6202-6209, 2020 | 135 | 2020 |
| AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles J Wang, A Pun, J Tu, S Manivasagam, A Sadat, S Casas, M Ren, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 130 | 2021 |
| UniSim: A Neural Closed-Loop Sensor Simulator Z Yang, Y Chen, J Wang, S Manivasagam, WC Ma, AJ Yang, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 107 | 2023 |
| Adversarial attack generation empowered by min-max optimization J Wang, T Zhang, S Liu, PY Chen, J Xu, M Fardad, B Li Advances in Neural Information Processing Systems 34, 16020-16033, 2021 | 68* | 2021 |
| Learning to Communicate and Correct Pose Errors N Vadivelu, M Ren, J Tu, J Wang, R Urtasun Proceedings of the 2020 Conference on Robot Learning 155, 1195-1210, 2020 | 48 | 2020 |
| Adversarial Attacks On Multi-Agent Communication J Tu, T Wang, J Wang, S Manivasagam, M Ren, R Urtasun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 47 | 2021 |
| Multiple Character Embeddings for Chinese Word Segmentation J Wang, J Zhou, G Liu Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 27 | 2019 |
| Learning compact representations for lidar completion and generation Y Xiong, WC Ma, J Wang, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation J Wang, S Manivasagam, Y Chen, Z Yang, IA Bârsan, AJ Yang, WC Ma, ... Proceedings of The 6th Conference on Robot Learning 205, 630-642, 2022 | 18 | 2022 |
| Real-time neural rasterization for large scenes JY Liu, Y Chen, Z Yang, J Wang, S Manivasagam, R Urtasun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
| On the Impact of Perceptual Compression on Deep Learning G Friedland, J Wang, R Jia, B Li, N Mundhenk IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2018 | 13* | 2018 |
| Zero-shot compositional policy learning via language grounding T Cao, J Wang, Y Zhang, S Manivasagam arXiv preprint arXiv:2004.07200, 2020 | 12* | 2020 |
| Reconstructing objects in-the-wild for realistic sensor simulation Z Yang, S Manivasagam, Y Chen, J Wang, R Hu, R Urtasun IEEE International Conference on Robotics and Automation (ICRA), 2023 | 11 | 2023 |
| Policy Learning Using Weak Supervision J Wang, H Guo, Z Zhu, Y Liu Advances in Neural Information Processing Systems 34, 2021 | 11 | 2021 |
| Towards zero domain gap: A comprehensive study of realistic lidar simulation for autonomy testing S Manivasagam, IA Bârsan, J Wang, Z Yang, R Urtasun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes S Segal, N Kumar, S Casas, W Zeng, M Ren, J Wang, R Urtasun Conference on Robot Learning, 816-826, 2022 | 8 | 2022 |
| Systems and Methods for Training Machine-Learned Models with Deviating Intermediate Representations X Tu, R Urtasun, T Wang, S Manivasagam, J Wang, M Ren US Patent App. 17/151,001, 2021 | 7 | 2021 |
| Generating Motion Scenarios for Self-Driving Vehicles J Wang, AA Pun, X Tu, M Ren, A Sadat, S Casas, S Manivasagam, ... US Patent App. 17/528,549, 2022 | 6 | 2022 |
| Systems and Methods for Mitigating Vehicle Pose Error Across an Aggregated Feature Map NB Vadivelu, M Ren, X Tu, R Urtasun, J Wang US Patent App. 17/150,998, 2022 | 4 | 2022 |
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
