| End-to-End Interpretable Neural Motion Planner W Zeng, W Luo, S Suo, A Sadat, B Yang, S Casas, R Urtasun CVPR 19, 2019 | 453 | 2019 |
| Intentnet: Learning to Predict Intention from Raw Sensor Data S Casas, W Luo, R Urtasun CoRL 18, 2018 | 452 | 2018 |
| SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data S Casas, C Gulino, R Liao, R Urtasun ICRA 20, 2020 | 228* | 2020 |
| MP3: A Unified Model to Map, Perceive, Predict and Plan S Casas, A Sadat, R Urtasun CVPR 21, 2021 | 227 | 2021 |
| TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors S Suo, S Regalado, S Casas, R Urtasun CVPR 21, 2021 | 209 | 2021 |
| Perceive, Predict, and Plan: Safe Motion Planning through Interpretable Semantic Representations A Sadat, S Casas, M Ren, X Wu, P Dhawan, R Urtasun ECCV 20, 2020 | 197 | 2020 |
| PnPNet: End-to-End Perception and Prediction with Tracking in the Loop M Liang, B Yang, W Zeng, Y Chen, R Hu, S Casas, R Urtasun CVPR 20, 2020 | 187 | 2020 |
| Implicit Latent Variable Model for Scene-Consistent Motion Forecasting S Casas, C Gulino, S Suo, K Luo, R Liao, R Urtasun ECCV 20, 2020 | 168 | 2020 |
| AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles J Wang, A Pun, J Tu, S Manivasagam, A Sadat, S Casas, M Ren, ... CVPR 21, 2021 | 153 | 2021 |
| RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects B Yang, R Guo, M Liang, S Casas, R Urtasun ECCV 20, 2020 | 127 | 2020 |
| LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving A Cui, A Sadat, S Casas, R Liao, R Urtasun ICCV 21, 2021 | 121 | 2021 |
| Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction A Jain, S Casas, R Liao, Y Xiong, S Feng, S Segal, R Urtasun CoRL 19, 2020 | 81 | 2020 |
| Multi-task machine-learned models for object intention determination in autonomous driving S Casas, W Luo, R Urtasun US Patent 11,370,423, 2022 | 70 | 2022 |
| Gorela: Go relative for viewpoint-invariant motion forecasting A Cui, S Casas, K Wong, S Suo, R Urtasun 2023 IEEE International Conference on Robotics and Automation (ICRA), 7801-7807, 2023 | 57 | 2023 |
| The Importance of Prior Knowledge in Precise Multimodal Prediction S Casas, C Gulino, S Suo, R Urtasun IROS 20, 2020 | 48 | 2020 |
| Deep Multi-Task Learning for Joint Localization, Perception, and Prediction J Phillips, J Martinez, IA Bārsan, S Casas, A Sadat, R Urtasun CVPR 21, 2021 | 39 | 2021 |
| Towards unsupervised object detection from lidar point clouds L Zhang, AJ Yang, Y Xiong, S Casas, B Yang, M Ren, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
| Learning unsupervised world models for autonomous driving via discrete diffusion L Zhang, Y Xiong, Z Yang, S Casas, R Hu, R Urtasun arXiv preprint arXiv:2311.01017, 2023 | 26 | 2023 |
| Mixsim: A hierarchical framework for mixed reality traffic simulation S Suo, K Wong, J Xu, J Tu, A Cui, S Casas, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 25 | 2023 |
| Implicit occupancy flow fields for perception and prediction in self-driving B Agro, Q Sykora, S Casas, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
