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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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

DeTra: A Unified Model for Object Detection and Trajectory Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning to Drive via Asymmetric Self-Play.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

UnO: Unsupervised Occupancy Fields for Perception and Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory.

[BibT_eX]

[DOI]

Enxu Li

Sergio Casas

Raquel Urtasun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Unsupervised Object Detection from LiDAR Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

4D-Former: Multimodal 4D Panoptic Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting.

[BibT_eX]

[DOI]

CoRR, 2021

Diverse Complexity Measures for Dataset Curation in Self-Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Safety-Oriented Pedestrian Occupancy Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.

[BibT_eX]

[DOI]

Jingkang Wang

Ava Pun

James Tu

Sivabalan Manivasagam

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Multi-Task Learning for Joint Localization, Perception, and Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MP3: A Unified Model To Map, Perceive, Predict and Plan.

[BibT_eX]

[DOI]

Sergio Casas

Abbas Sadat

Raquel Urtasun

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.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

StrObe: Streaming Object Detection from LiDAR Packets.

[BibT_eX]

[DOI]

CoRR, 2020

The Importance of Prior Knowledge in Precise Multimodal Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

StrObe: Streaming Object Detection from LiDAR Packets.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

End-To-End Interpretable Neural Motion Planner.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

IntentNet: Learning to Predict Intention from Raw Sensor Data.

[BibT_eX]

[DOI]

Sergio Casas

Wenjie Luo

Raquel Urtasun

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Sergio Casas

Timeline

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