Casas, Sergio

24 publications

CVPR 2025 DIO: Decomposable Implicit 4D Occupancy-Flow World Model Christopher Diehl, Quinlan Sykora, Ben Agro, Thomas Gilles, Sergio Casas, Raquel Urtasun

CVPR 2025 MAD: Memory-Augmented Detection of 3D Objects Ben Agro, Sergio Casas, Patrick Wang, Thomas Gilles, Raquel Urtasun

ICLR 2024 Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun

ECCV 2024 DeTra: A Unified Model for Object Detection and Trajectory Forecasting Sergio Casas, Ben T Agro, Jiageng Mao, Thomas Gilles, Alexander Y Cui, Enxu Li, Raquel Urtasun

ECCV 2024 Learning to Drive via Asymmetric Self-Play Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun

CVPR 2024 UnO: Unsupervised Occupancy Fields for Perception and Forecasting Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun

CoRL 2023 4D-Former: Multimodal 4D Panoptic Segmentation Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun

CVPR 2023 Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun

CoRL 2023 LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun

ICCV 2023 MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory Enxu Li, Sergio Casas, Raquel Urtasun

CVPR 2023 MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun

CVPR 2023 Towards Unsupervised Object Detection from LiDAR Point Clouds Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun

CVPR 2021 AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun

CVPR 2021 Deep Multi-Task Learning for Joint Localization, Perception, and Prediction John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun

CoRL 2021 Just Label What You Need: Fine-Grained Active Selection for P&P Through Partially Labeled Scenes Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun

ICCV 2021 LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun

CVPR 2021 MP3: A Unified Model to mAP, Perceive, Predict and Plan Sergio Casas, Abbas Sadat, Raquel Urtasun

CVPR 2021 TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun

ECCV 2020 Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun

ECCV 2020 Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun

ECCV 2020 RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun

CoRL 2020 StrObe: Streaming Object Detection from LiDAR Packets Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun

CoRL 2019 Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun

CoRL 2018 IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas, Wenjie Luo, Raquel Urtasun