Follow
Sergio Casas
Sergio Casas
PhD Student at University of Toronto, Staff Researcher at Waabi
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Intentnet: Learning to Predict Intention from Raw Sensor Data
S Casas, W Luo, R Urtasun
CoRL 18, 2018
4132018
End-to-End Interpretable Neural Motion Planner
W Zeng, W Luo, S Suo, A Sadat, B Yang, S Casas, R Urtasun
CVPR 19, 2019
3922019
SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
S Casas, C Gulino, R Liao, R Urtasun
ICRA 20, 2020
206*2020
MP3: A Unified Model to Map, Perceive, Predict and Plan
S Casas, A Sadat, R Urtasun
CVPR 21, 2021
1752021
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
1572020
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
1562020
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
S Suo, S Regalado, S Casas, R Urtasun
CVPR 21, 2021
1532021
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
S Casas, C Gulino, S Suo, K Luo, R Liao, R Urtasun
ECCV 20, 2020
1492020
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
1162021
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects
B Yang, R Guo, M Liang, S Casas, R Urtasun
ECCV 20, 2020
1092020
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving
A Cui, A Sadat, S Casas, R Liao, R Urtasun
ICCV 21, 2021
992021
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
772020
Multi-task machine-learned models for object intention determination in autonomous driving
S Casas, W Luo, R Urtasun
US Patent 11,370,423, 2022
582022
The Importance of Prior Knowledge in Precise Multimodal Prediction
S Casas, C Gulino, S Suo, R Urtasun
IROS 20, 2020
432020
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
352021
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
322023
StrObe: Streaming Object Detection from LiDAR Packets
D Frossard, S Suo, S Casas, J Tu, R Hu, R Urtasun
CoRL 20, 2020
162020
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
132023
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
132023
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
92023
The system can't perform the operation now. Try again later.
Articles 1–20