Raquel Urtasun

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 320

Top Venues

CoRR

CVPR

ICCV

CoRL

Publications

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)
Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun
Real-Time Neural Rasterization for Large Scenes. ICCV (2023)
Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun
4D-Former: Multimodal 4D Panoptic Segmentation. CoRL (2023)
Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
Learning Realistic Traffic Agents in Closed-loop. CoRL (2023)
Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun
4D-Former: Multimodal 4D Panoptic Segmentation. CoRR (2023)
Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun
UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. 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)
Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun
Reconstructing Objects in-the-wild for Realistic Sensor Simulation. ICRA (2023)
Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun
UniSim: A Neural Closed-Loop Sensor Simulator. 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)
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRR (2023)
Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun
Real-Time Neural Rasterization for Large Scenes. CoRR (2023)
Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. CoRR (2023)
Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun
Reconstructing Objects in-the-wild for Realistic Sensor Simulation. CoRR (2023)
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
Rethinking Closed-loop Training for Autonomous Driving. CoRR (2023)
James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun
Towards Scalable Coverage-Based Testing of Autonomous Vehicles. CoRL (2023)
Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun
Neural Lighting Simulation for Urban Scenes. NeurIPS (2023)
Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun
Learning Compact Representations for LiDAR Completion and Generation. CVPR (2023)
Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. CoRL (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)
Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Bârsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRR (2023)
Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. ICRA (2023)
Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
Learning Realistic Traffic Agents in Closed-loop. CoRR (2023)
Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun
Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. ICCV (2023)
Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun
LightSim: Neural Lighting Simulation for Urban Scenes. CoRR (2023)
Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun
UniSim: A Neural Closed-Loop Sensor Simulator. CoRR (2023)
Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CVPR (2022)
Xiaojuan Qi, Zhengzhe Liu, Renjie Liao, Philip H. S. Torr, Raquel Urtasun, Jiaya Jia
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun
Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild. WACV (2022)
Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. CoRR (2022)
Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. CoRR (2022)
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
Rethinking Closed-Loop Training for Autonomous Driving. ECCV (39) (2022)
Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Barsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. CoRL (2022)
Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. CVPR (2021)
Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, Raquel Urtasun
VideoClick: Video Object Segmentation with a Single Click. CoRR (2021)
Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CVPR (2021)
Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun
Deep Parametric Continuous Convolutional Neural Networks. CoRR (2021)
Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer
Deep Structured Reactive Planning. ICRA (2021)
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)
Wenyuan Zeng, Yuwen Xiong, Raquel Urtasun
Network Automatic Pruning: Start NAP and Take a Nap. 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)
Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun
Secrets of 3D Implicit Object Shape Reconstruction in the Wild. CoRR (2021)
Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun
Cost-Efficient Online Hyperparameter Optimization. CoRR (2021)
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. CoRL (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)
Xiaohui Zeng, Raquel Urtasun, Richard S. Zemel, Sanja Fidler, Renjie Liao
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation. UAI (2021)
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
PLUME: Efficient 3D Object Detection from Stereo Images. 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)
Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang
Asynchronous Multi-View SLAM. ICRA (2021)
Sergio Casas, Abbas Sadat, Raquel Urtasun
MP3: A Unified Model To Map, Perceive, Predict and Plan. CVPR (2021)
Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. CVPR (2021)
Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun
GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. CoRR (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)
Renjie Liao, Raquel Urtasun, Richard S. Zemel
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks. ICLR (2021)
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
Adversarial Attacks On Multi-Agent Communication. ICCV (2021)
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
SceneGen: Learning To Generate Realistic Traffic Scenes. CVPR (2021)
Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun
PLUMENet: Efficient 3D Object Detection from Stereo Images. IROS (2021)
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
Deep Feedback Inverse Problem Solver. CoRR (2021)
Min Bai, Shenlong Wang, Kelvin Wong, Ersin Yumer, Raquel Urtasun
Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving. CoRR (2021)
James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
Adversarial Attacks On Multi-Agent Communication. CoRR (2021)
Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. CoRR (2021)
James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving. 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. IROS (2021)
Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. ICCV (2021)
Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. CoRR (2021)
Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. ICRA (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)
Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun
Self-Supervised Representation Learning from Flow Equivariance. 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)
Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer
Deep Structured Reactive Planning. 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)
Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. IROS (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)
Anqi Joyce Yang, Can Cui, Ioan Andrei Bârsan, Raquel Urtasun, Shenlong Wang
Asynchronous Multi-View SLAM. 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)
Bin Yang, Min Bai, Ming Liang, Wenyuan Zeng, Raquel Urtasun
Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. CoRR (2021)
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun
SceneGen: Learning to Generate Realistic Traffic Scenes. CoRR (2021)
Xiaohui Zeng, Raquel Urtasun, Richard S. Zemel, Sanja Fidler, Renjie Liao
NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation. CoRR (2021)
Justin Liang, Raquel Urtasun
End-to-End Deep Structured Models for Drawing Crosswalks. CoRR (2020)
Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun
Multi-Task Multi-Sensor Fusion for 3D Object Detection. CoRR (2020)
Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. CoRR (2020)
Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. CoRR (2020)
Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. ECCV (23) (2020)
Sourav Biswas, Jerry Liu, Kelvin Wong, Shenlong Wang, Raquel Urtasun
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. NeurIPS (2020)
Ze Yang, Siva Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
Recovering and Simulating Pedestrians in the Wild. CoRR (2020)
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
Deep Feedback Inverse Problem Solver. ECCV (5) (2020)
Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. CVPR (2020)
Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun
Weakly-supervised 3D Shape Completion in the Wild. CoRR (2020)
Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun
The Importance of Prior Knowledge in Precise Multimodal Prediction. CoRR (2020)
Wenjie Luo, Bin Yang, Raquel Urtasun
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raquel Urtasun