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ORCIDSergio Casas 0002
Person information
- affiliation: University of Toronto, Canada
Other persons with the same name
- Sergio Casas 0001
![[0000-0002-0396-4628]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0396-4628")
(aka: Sergio Casas-Yrurzum) — Universitat de València, Spain
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2020 – today
- 2024
[c28]Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun:
UnO: Unsupervised Occupancy Fields for Perception and Forecasting. CVPR 2024: 14487-14496- [c27]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 - [c26]Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun:
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. ICRA 2024: 14236-14243 - [i28]Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun:
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. CoRR abs/2404.01486 (2024) - [i27]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 abs/2406.04426 (2024) - [i26]Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun:
UnO: Unsupervised Occupancy Fields for Perception and Forecasting. CoRR abs/2406.08691 (2024) - 2023
- [c25]Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun:
4D-Former: Multimodal 4D Panoptic Segmentation. CoRL 2023: 2151-2164 - [c24]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: 3364-3383 - [c23]Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun:
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. CVPR 2023: 1379-1388 - [c22]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: 9317-9328 - [c21]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: 9622-9631 - [c20]Enxu Li, Sergio Casas, Raquel Urtasun:
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. ICCV 2023: 745-754 - [c19]Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun:
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. ICRA 2023: 7801-7807 - [i25]Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun:
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. CoRR abs/2308.01471 (2023) - [i24]Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun:
Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. CoRR abs/2311.01017 (2023) - [i23]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 abs/2311.01444 (2023) - [i22]Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun:
4D-Former: Multimodal 4D Panoptic Segmentation. CoRR abs/2311.01520 (2023) - [i21]Enxu Li, Sergio Casas, Raquel Urtasun:
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. CoRR abs/2311.01556 (2023) - [i20]Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun:
Towards Unsupervised Object Detection From LiDAR Point Clouds. CoRR abs/2311.02007 (2023) - 2022
- [i19]Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun:
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. CoRR abs/2211.02545 (2022) - 2021
- [c18]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: 816-826 - [c17]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: 4679-4689 - [c16]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: 9909-9918 - [c15]Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun:
TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors. CVPR 2021: 10400-10409 - [c14]Sergio Casas, Abbas Sadat, Raquel Urtasun:
MP3: A Unified Model To Map, Perceive, Predict and Plan. CVPR 2021: 14403-14412 - [c13]Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun:
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. ICCV 2021: 16087-16096 - [c12]Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun:
Safety-Oriented Pedestrian Occupancy Forecasting. IROS 2021: 1015-1022 - [c11]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: 8609-8616 - [i18]Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun:
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. CoRR abs/2101.02385 (2021) - [i17]Alexander Cui, Abbas Sadat, Sergio Casas, Renjie Liao, Raquel Urtasun:
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. CoRR abs/2101.06547 (2021) - [i16]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 abs/2101.06549 (2021) - [i15]Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer:
Diverse Complexity Measures for Dataset Curation in Self-driving. CoRR abs/2101.06554 (2021) - [i14]Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun:
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors. CoRR abs/2101.06557 (2021) - [i13]Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun:
End-to-end Interpretable Neural Motion Planner. CoRR abs/2101.06679 (2021) - [i12]John Phillips, Julieta Martinez, Ioan Andrei Bârsan, Sergio Casas, Abbas Sadat, Raquel Urtasun:
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. CoRR abs/2101.06720 (2021) - [i11]Sergio Casas, Abbas Sadat, Raquel Urtasun:
MP3: A Unified Model to Map, Perceive, Predict and Plan. CoRR abs/2101.06806 (2021) - [i10]Sergio Casas, Wenjie Luo, Raquel Urtasun:
IntentNet: Learning to Predict Intention from Raw Sensor Data. CoRR abs/2101.07907 (2021) - [i9]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 abs/2104.03956 (2021) - 2020
- [c10]Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun:
StrObe: Streaming Object Detection from LiDAR Packets. CoRL 2020: 1174-1183 - [c9]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: 11550-11559 - [c8]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: 414-430 - [c7]Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun:
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. ECCV (18) 2020: 496-512 - [c6]Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun:
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. ECCV (23) 2020: 624-641 - [c5]Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun:
SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. ICRA 2020: 9491-9497 - [c4]Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun:
The Importance of Prior Knowledge in Precise Multimodal Prediction. IROS 2020: 2295-2302 - [i8]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 abs/2005.14711 (2020) - [i7]Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun:
The Importance of Prior Knowledge in Precise Multimodal Prediction. CoRR abs/2006.02636 (2020) - [i6]Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun:
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. CoRR abs/2007.12036 (2020) - [i5]Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun:
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. CoRR abs/2007.14366 (2020) - [i4]Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun:
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. CoRR abs/2008.05930 (2020) - [i3]Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun:
StrObe: Streaming Object Detection from LiDAR Packets. CoRR abs/2011.06425 (2020)
2010 – 2019
- 2019
- [c3]Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun:
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRL 2019: 407-419 - [c2]Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun:
End-To-End Interpretable Neural Motion Planner. CVPR 2019: 8660-8669 - [i2]Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun:
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. CoRR abs/1910.08041 (2019) - [i1]Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun:
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. CoRR abs/1910.08233 (2019) - 2018
- [c1]Sergio Casas, Wenjie Luo, Raquel Urtasun:
IntentNet: Learning to Predict Intention from Raw Sensor Data. CoRL 2018: 947-956
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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