Sergio Casas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
12
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | MAD: Memory-Augmented Detection of 3D Objects. | Ben Agro, Sergio Casas, Patrick Wang, Thomas Gilles, Raquel Urtasun |
| 2025 | CVPR | DIO: Decomposable Implicit 4D Occupancy-Flow World Model. | Christopher Diehl, Quinlan Sykora, Ben Agro, Thomas Gilles, Sergio Casas, Raquel Urtasun |
| 2024 | CVPR | UnO: Unsupervised Occupancy Fields for Perception and Forecasting. | Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun |
| 2024 | ECCV | DeTra: A Unified Model for Object Detection and Trajectory Forecasting. | Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun |
| 2024 | ECCV | Learning to Drive via Asymmetric Self-Play. | Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun |
| 2024 | ICLR | Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. | Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun |
| 2024 | ICRA | QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. | Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun |
| 2024 | VR | Redirected Walking vs. Omni-Directional Treadmills: An Evaluation of Presence. | Raiffa Syamil, Mahdi Azmandian, Sergio Casas, Pedro Morillo, Carolina Cruz-Neira |
| 2023 | CoRL | 4D-Former: Multimodal 4D Panoptic Segmentation. | Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun |
| 2023 | CoRL | 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 |
| 2023 | CVPR | Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. | Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun |
| 2023 | CVPR | MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation. | Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun |
| 2023 | CVPR | Towards Unsupervised Object Detection from LiDAR Point Clouds. | Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun |
| 2023 | ICCV | MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. | Enxu Li, Sergio Casas, Raquel Urtasun |
| 2023 | ICRA | GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. | Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun |
| 2021 | CoRL | 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 |
| 2021 | CVPR | MP3: A Unified Model To Map, Perceive, Predict and Plan. | Sergio Casas, Abbas Sadat, Raquel Urtasun |
| 2021 | CVPR | Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. | John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun |
| 2021 | CVPR | TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors. | Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun |
| 2021 | CVPR | 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 |
| 2021 | ICCV | LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. | Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun |
| 2021 | IROS | Safety-Oriented Pedestrian Occupancy Forecasting. | Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun |
| 2021 | IROS | Diverse Complexity Measures for Dataset Curation in Self-Driving. | Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer |
| 2020 | CoRL | StrObe: Streaming Object Detection from LiDAR Packets. | Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun |
| 2020 | CVPR | PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. | Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun |
| 2020 | ECCV | Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. | Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun |
| 2020 | ECCV | Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. | Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun |
| 2020 | ECCV | RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. | Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun |
| 2020 | ICRA | SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. | Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun |
| 2020 | IROS | The Importance of Prior Knowledge in Precise Multimodal Prediction. | Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun |
| 2019 | CoRL | Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. | Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun |
| 2019 | CVPR | End-To-End Interpretable Neural Motion Planner. | Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun |
| 2018 | CoRL | IntentNet: Learning to Predict Intention from Raw Sensor Data. | Sergio Casas, Wenjie Luo, Raquel Urtasun |
| 2018 | ISMAR | MIME: A Mixed-Space Collaborative System with Three Immersion Levels and Multiple Users. | Inma Garca-Pereira, Jess Gimeno, Manolo Prez, Cristina Portals, Sergio Casas |
| 2018 | ISMAR | Addressing the Occlusion Problem in Augmented Reality Environments with Phantom Hollow Objects. | Jess Gimeno, Sergio Casas, Cristina Portals, Marcos Fernndez |
| 2017 | GECCO | Applying particle swarm optimization to the motion-cueing-algorithm tuning problem. | Sergio Casas, Cristina Portals, Inmaculada Coma, Marcos Fernndez |
| 2006 | ICINCO | Design of a prototype robot vacuum cleaner - from virtual prototyping to real development. | Leire Maruri, Ana Martinez-Esnaola, Joseba Landaluze, Sergio Casas, Marcos Fernndez |
| 2006 | VRST | Entertainment virtual reality system for simulation of spaceflights over the surface of the planet Mars. | Ricardo Olanda, Manolo Prez, Pedro Morillo, Marcos Fernndez, Sergio Casas |