Sergio Casas

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 55

Top Topics

Semantic Representations

Object Detection

Autonomous Driving

Top Venues

Publications

Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. CoRR (2024)
Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun
UnO: Unsupervised Occupancy Fields for Perception and Forecasting. CoRR (2024)
Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. ICRA (2024)
Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun
DeTra: A Unified Model for Object Detection and Trajectory Forecasting. CoRR (2024)
Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. ICLR (2024)
Enxu Li, Sergio Casas, Raquel Urtasun
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. ICCV (2023)
Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun
MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation. CVPR (2023)
Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun
4D-Former: Multimodal 4D Panoptic Segmentation. CoRL (2023)
Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun
4D-Former: Multimodal 4D Panoptic Segmentation. CoRR (2023)
Enxu Li, Sergio Casas, Raquel Urtasun
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. CoRR (2023)
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
Towards Unsupervised Object Detection From LiDAR Point Clouds. CoRR (2023)
Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. CVPR (2023)
Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun
Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. CoRR (2023)
Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. CoRR (2023)
Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
Towards Unsupervised Object Detection from LiDAR Point Clouds. CVPR (2023)
Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRL (2023)
Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. CoRR (2023)
Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. ICRA (2023)
Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. CoRR (2022)
Sergio Casas, Abbas Sadat, Raquel Urtasun
MP3: A Unified Model to Map, Perceive, Predict and Plan. CoRR (2021)
Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors. CoRR (2021)
John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. CVPR (2021)
Sergio Casas, Wenjie Luo, Raquel Urtasun
IntentNet: Learning to Predict Intention from Raw Sensor Data. CoRR (2021)
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CoRR (2021)
John Phillips, Julieta Martinez, Ioan Andrei Bârsan, Sergio Casas, Abbas Sadat, Raquel Urtasun
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. CoRR (2021)
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
Safety-Oriented Pedestrian Occupancy Forecasting. IROS (2021)
Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. CVPR (2021)
Sergio Casas, Abbas Sadat, Raquel Urtasun
MP3: A Unified Model To Map, Perceive, Predict and Plan. CVPR (2021)
Alexander Cui, Abbas Sadat, Sergio Casas, Renjie Liao, Raquel Urtasun
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. CoRR (2021)
Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun
TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors. CVPR (2021)
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
Diverse Complexity Measures for Dataset Curation in Self-Driving. IROS (2021)
Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. ICCV (2021)
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. CoRR (2021)
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
End-to-end Interpretable Neural Motion Planner. CoRR (2021)
Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. CoRL (2021)
Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR (2021)
Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer
Diverse Complexity Measures for Dataset Curation in Self-driving. CoRR (2021)
Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun
The Importance of Prior Knowledge in Precise Multimodal Prediction. CoRR (2020)
Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun
StrObe: Streaming Object Detection from LiDAR Packets. CoRL (2020)
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. CoRR (2020)
Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun
SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. ICRA (2020)
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. ECCV (18) (2020)
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. CVPR (2020)
Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. CoRR (2020)
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. CoRR (2020)
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. ECCV (23) (2020)
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. ECCV (23) (2020)
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop. CoRR (2020)
Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun
The Importance of Prior Knowledge in Precise Multimodal Prediction. IROS (2020)
Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun
StrObe: Streaming Object Detection from LiDAR Packets. CoRR (2020)
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
End-To-End Interpretable Neural Motion Planner. CVPR (2019)
Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRR (2019)
Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. CoRR (2019)
Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRL (2019)
Sergio Casas, Wenjie Luo, Raquel Urtasun
IntentNet: Learning to Predict Intention from Raw Sensor Data. CoRL (2018)