Raquel Urtasun

Computer Science · Physical Sciences

102h-index50.1kcitations418works1.82yr avg
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Research Topics

Advanced Neural Network Applications(121), Autonomous Vehicle Technology and Safety(81), Advanced Vision and Imaging(80), Advanced Image and Video Retrieval Techniques(80), Video Surveillance and Tracking Methods(79)

Publications418 total

Flux4D: Flow-based Unsupervised 4D Reconstruction
arXiv (Cornell University)·2025Open Access
SaLF: Sparse Local Fields for Multi-Sensor Rendering in Real-Time
arXiv (Cornell University)·2025Open Access
DIO: Decomposable Implicit 4D Occupancy-Flow World Model
2025· 1 cited
MAD: Memory-Augmented Detection of 3D Objects
2025
GenAssets: Generating in-the-wild 3D Assets in Latent Space
2025
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
Lecture notes in computer science·2024· 4 cited
Learning to Drive via Asymmetric Self-Play
Lecture notes in computer science·2024· 1 cited
UniCal: Unified Neural Sensor Calibration
Lecture notes in computer science·2024· 3 cited
G3R: Gradient Guided Generalizable Reconstruction
Lecture notes in computer science·2024· 2 cited
G3R: Gradient Guided Generalizable Reconstruction
arXiv (Cornell University)·2024Open Access
UniCal: Unified Neural Sensor Calibration
arXiv (Cornell University)·2024Open Access
Learning to Drive via Asymmetric Self-Play
arXiv (Cornell University)·2024Open Access
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
2024· 7 cited
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
arXiv (Cornell University)·2024Open Access
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
arXiv (Cornell University)·2024Open Access
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving
2024· 5 cited
SceneControl: Diffusion for Controllable Traffic Scene Generation
2024· 9 cited
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving
arXiv (Cornell University)·2024Open Access
LightSim: Neural Lighting Simulation for Urban Scenes
arXiv (Cornell University)·2023Open Access
Real-Time Neural Rasterization for Large Scenes
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Sanja Fidler(17), Wenjie Luo(9), Bin Yang(7), Yukun Zhu(5), Ming Liang(5), Kaustav Kundu(4), Richard S. Zemel(4), Renjie Liao(4), Mengye Ren(4), Wenyuan Zeng(4), Bin Yang(4), Andreas Geiger(3), Ryan Kiros(3), Ruslan Salakhutdinov(3), Antonio Torralba(3), Xiaozhi Chen(3), Huimin Ma(3), Rui Hu(3), Jiaya Jia(3), Dahua Lin(3)