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


Apr 08, 2021
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun


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IntentNet: Learning to Predict Intention from Raw Sensor Data


Jan 20, 2021
Sergio Casas, Wenjie Luo, Raquel Urtasun

* CoRL 2018 

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


Jan 19, 2021
John Phillips, Julieta Martinez, Ioan Andrei Bârsan, Sergio Casas, Abbas Sadat, Raquel Urtasun


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MP3: A Unified Model to Map, Perceive, Predict and Plan


Jan 18, 2021
Sergio Casas, Abbas Sadat, Raquel Urtasun


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End-to-end Interpretable Neural Motion Planner


Jan 17, 2021
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun

* CVPR 2019 (Oral) 

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TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors


Jan 17, 2021
Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun


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Diverse Complexity Measures for Dataset Curation in Self-driving


Jan 16, 2021
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer

* 13 pages 

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


Jan 16, 2021
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun


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


Jan 16, 2021
Alexander Cui, Abbas Sadat, Sergio Casas, Renjie Liao, Raquel Urtasun


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Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting


Jan 07, 2021
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun


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StrObe: Streaming Object Detection from LiDAR Packets


Nov 13, 2020
Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun

* To be presented at the 4th Conference on Robot Learning (CoRL 2020) 

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


Aug 13, 2020
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun

* European Conference on Computer Vision (ECCV) 2020 

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RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects


Jul 28, 2020
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun

* ECCV 2020 

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Implicit Latent Variable Model for Scene-Consistent Motion Forecasting


Jul 23, 2020
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun

* European Conference on Computer Vision (ECCV) 2020 

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


Jun 27, 2020
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun

* CVPR2020 

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The Importance of Prior Knowledge in Precise Multimodal Prediction


Jun 04, 2020
Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun


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


Oct 18, 2019
Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun


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Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction


Oct 17, 2019
Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun

* CoRL 2019 

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