Sergio Casas

Affiliations:
  • University of Toronto, Canada


According to our database1, Sergio Casas authored at least 35 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Drive via Asymmetric Self-Play.
Proceedings of the Computer Vision - ECCV 2024, 2024

DeTra: A Unified Model for Object Detection and Trajectory Forecasting.
Proceedings of the Computer Vision - ECCV 2024, 2024

UnO: Unsupervised Occupancy Fields for Perception and Forecasting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.
CoRR, 2023

GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Unsupervised Object Detection from LiDAR Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds.
Proceedings of the Conference on Robot Learning, 2023

4D-Former: Multimodal 4D Panoptic Segmentation.
Proceedings of the Conference on Robot Learning, 2023

2021
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes.
CoRR, 2021

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting.
CoRR, 2021

Diverse Complexity Measures for Dataset Curation in Self-Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Safety-Oriented Pedestrian Occupancy Forecasting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving.
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

TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Multi-Task Learning for Joint Localization, Perception, and Prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MP3: A Unified Model To Map, Perceive, Predict and Plan.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
StrObe: Streaming Object Detection from LiDAR Packets.
CoRR, 2020

The Importance of Prior Knowledge in Precise Multimodal Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects.
Proceedings of the Computer Vision - ECCV 2020, 2020

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations.
Proceedings of the Computer Vision - ECCV 2020, 2020

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting.
Proceedings of the Computer Vision - ECCV 2020, 2020

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

StrObe: Streaming Object Detection from LiDAR Packets.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data.
CoRR, 2019

End-To-End Interpretable Neural Motion Planner.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
IntentNet: Learning to Predict Intention from Raw Sensor Data.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018


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