Raquel Urtasun

发表

DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation

Sanja Fidler, Xiaohui Zeng, Renjie Liao, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Graph Partition Neural Networks for Semi-Supervised Classification pdf

Renjie Liao, Raquel Urtasun, Richard S. Zemel, 2018, ICLR.

Learning Lane Graph Representations for Motion Forecasting

Renjie Liao, Raquel Urtasun, Ming Liang, 2020, ECCV.

Matching Adversarial Networks

Raquel Urtasun, Gellért Máttyus, R. Urtasun, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Sparse probabilistic regression for activity-independent human pose inference

Trevor Darrell, Raquel Urtasun, Trevor Darrell, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Reviving and Improving Recurrent Back-Propagation pdf

Lisa Zhang, Renjie Liao, Yuwen Xiong, 2018, ICML.

Graph HyperNetworks for Neural Architecture Search pdf

Raquel Urtasun, Chris Zhang, Mengye Ren, 2018, ICLR.

MLPrune: Multi-Layer Pruning for Automated Neural Network Compression

Raquel Urtasun, Wenyuan Zeng, R. Urtasun, 2018 .

A Sentence Is Worth a Thousand Pixels

Sanja Fidler, Raquel Urtasun, Abhishek Sharma, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Generating Multi-Sentence Lingual Descriptions of Indoor Scenes pdf

Sanja Fidler, Raquel Urtasun, Chen Kong, 2015, ArXiv.

Modeling Human Locomotion with Topologically Constrained Latent Variable Models

David J. Fleet, Neil D. Lawrence, Raquel Urtasun, 2007, Workshop on Human Motion.

Monocular 3-D Tracking of the Golf Swing

David J. Fleet, Pascal Fua, Raquel Urtasun, 2005, CVPR.

Transferring Nonlinear Representations using Gaussian Processes with a Shared Latent Space

Neil D. Lawrence, Trevor Darrell, Raquel Urtasun, 2008 .

End-To-End Interpretable Neural Motion Planner

Sergio Casas, Raquel Urtasun, Bin Yang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds

Raquel Urtasun, Wenjie Luo, Chris Zhang, 2018, 2018 International Conference on 3D Vision (3DV).

Vision meets robotics: The KITTI dataset

Andreas Geiger, Raquel Urtasun, Christoph Stiller, 2013, Int. J. Robotics Res..

Proteus: Exploiting precision variability in deep neural networks

Natalie D. Enright Jerger, Raquel Urtasun, Patrick Judd, 2017, Parallel Comput..

A High Performance CRF Model for Clothes Parsing

Francesc Moreno-Noguer, Sanja Fidler, Raquel Urtasun, 2014, ACCV.

Bayesian Filtering with Online Gaussian Process Latent Variable Models

Yali Wang, Brahim Chaib-draa, Raquel Urtasun, 2014, UAI.

Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets pdf

Natalie D. Enright Jerger, Raquel Urtasun, Patrick Judd, 2015, ArXiv.

DeepSignals: Predicting Intent of Drivers Through Visual Signals

Raquel Urtasun, Eric Kee, Davi Frossard, 2019, 2019 International Conference on Robotics and Automation (ICRA).

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

Raquel Urtasun, Shenlong Wang, Bin Yang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Non-linear matrix factorization with Gaussian processes

Neil D. Lawrence, Raquel Urtasun, Neil D. Lawrence, 2009, ICML '09.

Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials

Raquel Urtasun, Shenlong Wang, Alexander G. Schwing, 2014, NIPS.

SBNet: Sparse Blocks Network for Fast Inference

Bin Yang, Raquel Urtasun, Mengye Ren, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

segDeepM: Exploiting segmentation and context in deep neural networks for object detection

Sanja Fidler, Raquel Urtasun, Ruslan Salakhutdinov, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs

Sanja Fidler, Roozbeh Mottaghi, Raquel Urtasun, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes pdf

Renjie Liao, Raquel Urtasun, Richard S. Zemel, 2016, ICLR.

Artificial Intelligence and Statistics Conference

Trevor Darrell, Raquel Urtasun, Carl Henrik Ek, 2010 .

MovieQA: Understanding Stories in Movies through Question-Answering

Sanja Fidler, Antonio Torralba, Raquel Urtasun, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Rigid Instance Scene Flow

Rui Hu, Yuwen Xiong, Raquel Urtasun, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Holistic 3D scene understanding from a single geo-tagged image

Sanja Fidler, Raquel Urtasun, Shenlong Wang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding

Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

DSIC: Deep Stereo Image Compression

Raquel Urtasun, Shenlong Wang, Jerry Liu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds pdf

Kibok Lee, Ersin Yumer, Raquel Urtasun, 2020, ArXiv.

Learning to Recognize Objects from Unseen Modalities

Trevor Darrell, Raquel Urtasun, Mathieu Salzmann, 2010, ECCV.

Efficient Deep Learning for Stereo Matching

Raquel Urtasun, Alexander G. Schwing, Wenjie Luo, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Recovering and Simulating Pedestrians in the Wild pdf

Raquel Urtasun, Ming Liang, Bin Yang, 2020, CoRL.

Topologically-constrained latent variable models

David J. Fleet, Neil D. Lawrence, Trevor Darrell, 2008, ICML '08.

Network Automatic Pruning: Start NAP and Take a Nap pdf

Yuwen Xiong, Raquel Urtasun, Wenyuan Zeng, 2021, ArXiv.

Learning to Localize Using a LiDAR Intensity Map

Raquel Urtasun, Shenlong Wang, Andrei Pokrovsky, 2018, CoRL.

Proximal Deep Structured Models

Sanja Fidler, Raquel Urtasun, Shenlong Wang, 2016, NIPS.

Multi-Task Multi-Sensor Fusion for 3D Object Detection

Bin Yang, Rui Hu, Raquel Urtasun, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Multi-Task Learning for Joint Localization, Perception, and Prediction pdf

Raquel Urtasun, Julieta Martinez, Abbas Sadat, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

VideoClick: Video Object Segmentation with a Single Click pdf

Raquel Urtasun, Wei-Chiu Ma, Namdar Homayounfar, 2021, ArXiv.

Co-training with noisy perceptual observations

Trevor Darrell, Ashish Kapoor, Raquel Urtasun, 2009, CVPR.

A Family of MCMC Methods on Implicitly Defined Manifolds

Raquel Urtasun, Mathieu Salzmann, Marcus A. Brubaker, 2012, AISTATS.

Secrets of 3D Implicit Object Shape Reconstruction in the Wild pdf

Zihao Wang, Raquel Urtasun, Shenlong Wang, 2021, ArXiv.

Self-Supervised Representation Learning from Flow Equivariance pdf

Yuwen Xiong, Raquel Urtasun, Mengye Ren, 2021, ArXiv.

Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction

Raquel Urtasun, Mathieu Salzmann, R. Urtasun, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

PIXOR: Real-time 3D Object Detection from Point Clouds

Bin Yang, Raquel Urtasun, Wenjie Luo, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

Sanja Fidler, Antonio Torralba, Raquel Urtasun, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Continuous Markov Random Fields for Robust Stereo Estimation pdf

Tamir Hazan, Raquel Urtasun, David A. McAllester, 2012, ECCV.

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

Sergio Casas, Raquel Urtasun, Mengye Ren, 2020, ECCV.

Priors for people tracking from small training sets

David J. Fleet, Pascal Fua, Raquel Urtasun, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

DeepRoadMapper: Extracting Road Topology from Aerial Images

Raquel Urtasun, Gellért Máttyus, Wenjie Luo, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Multi-View Learning in the Presence of View Disagreement pdf

Trevor Darrell, Raquel Urtasun, C. Mario Christoudias, 2008, UAI 2008.

Patch-Based Pose Inference with a Mixture of Density Estimators

Raquel Urtasun, David Demirdjian, 2007, AMFG.

Dimensionality Reduction for Representing the Knowledge of Probabilistic Models

Raquel Urtasun, Richard S. Zemel, Jake Snell, 2018, International Conference on Learning Representations.

What Are You Talking About? Text-to-Image Coreference

Sanja Fidler, Raquel Urtasun, Chen Kong, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Transductive Gaussian processes for image denoising

Lei Zhang, Raquel Urtasun, Shenlong Wang, 2014, 2014 IEEE International Conference on Computational Photography (ICCP).

LanczosNet: Multi-Scale Deep Graph Convolutional Networks pdf

Zhizhen Zhao, Renjie Liao, Raquel Urtasun, 2019, ICLR.

Learning to segment under various forms of weak supervision

Jia Xu, Raquel Urtasun, Alexander G. Schwing, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Message Passing Inference for Large Scale Graphical Models with High Order Potentials

Jian Zhang, Raquel Urtasun, Alexander G. Schwing, 2014, NIPS.

The Role of Context for Object Detection and Semantic Segmentation in the Wild

Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Discriminative Gaussian process latent variable model for classification

Trevor Darrell, Raquel Urtasun, Trevor Darrell, 2007, ICML '07.

Unsupervised feature selection via distributed coding for multi-view object recognition

Trevor Darrell, Raquel Urtasun, C. Mario Christoudias, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Blending Learning and Inference in Structured Prediction

Tamir Hazan, Raquel Urtasun, Alexander Schwing, 2012, 1210.2346.

Latent Structured Active Learning

Raquel Urtasun, Alexander G. Schwing, Wenjie Luo, 2013, NIPS.

3D People Tracking with Gaussian Process Dynamical Models

David J. Fleet, Pascal Fua, Raquel Urtasun, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

SurfConv: Bridging 3D and 2D Convolution for RGBD Images

Sanja Fidler, Raquel Urtasun, Kaustav Kundu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation

Sanja Fidler, Raquel Urtasun, Jian Yao, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Segmentation of 3D head MR images using morphological reconstruction under constraints and automatic selection of markers

Isabelle Bloch, Raquel Urtasun, Petr Dokládal, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs pdf

Ersin Yumer, Raquel Urtasun, Eric Kee, 2020, CoRL.

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting

Sergio Casas, Renjie Liao, Raquel Urtasun, 2020, ECCV.

Deep Watershed Transform for Instance Segmentation

Min Bai, Raquel Urtasun, R. Urtasun, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Situation Recognition with Graph Neural Networks

Sanja Fidler, Renjie Liao, Raquel Urtasun, 2018 .

LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting pdf

Renjie Liao, Raquel Urtasun, Ming Liang, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Asynchronous Multi-View SLAM pdf

Can Cui, Raquel Urtasun, Shenlong Wang, 2021, ArXiv.

Physically-based motion models for 3D tracking: A convex formulation

Raquel Urtasun, Mathieu Salzmann, R. Urtasun, 2011, 2011 International Conference on Computer Vision.

Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities

Luc Van Gool, Raquel Urtasun, Juergen Gall, 2011, NIPS.

Efficient Structured Prediction with Latent Variables for General Graphical Models

Marc Pollefeys, Tamir Hazan, Raquel Urtasun, 2012, ICML.

Data-driven animation of hand-object interactions

Luc Van Gool, Raquel Urtasun, Juergen Gall, 2011, Face and Gesture 2011.

A constrained latent variable model

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Rent3D: Floor-plan priors for monocular layout estimation

Sanja Fidler, Chenxi Liu, Raquel Urtasun, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Generating Multi-sentence Natural Language Descriptions of Indoor Scenes

Sanja Fidler, Raquel Urtasun, Chen Kong, 2015, BMVC.

End-to-end Contextual Perception and Prediction with Interaction Transformer pdf

Raquel Urtasun, Ming Liang, Bin Yang, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

End-to-End Deep Structured Models for Drawing Crosswalks

Raquel Urtasun, Justin Liang, R. Urtasun, 2018, ECCV.

Unsupervised Distributed Feature Selection for Multi-view Object Recognition

Trevor Darrell, Raquel Urtasun, C. Mario Christoudias, 2008 .

Towards Affordable Self-driving Cars

Raquel Urtasun, 2016, BMVC.

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction pdf

Renjie Liao, Raquel Urtasun, Ming Liang, 2020, ECCV.

A generative model for 3D urban scene understanding from movable platforms

Martin Lauer, Andreas Geiger, Raquel Urtasun, 2011, CVPR 2011.

Auto4D: Learning to Label 4D Objects from Sequential Point Clouds pdf

Raquel Urtasun, Ming Liang, Bin Yang, 2021, ArXiv.

Conditional Entropy Coding for Efficient Video Compression pdf

Meet Shah, Raquel Urtasun, Shenlong Wang, 2020, ECCV.

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

Raquel Urtasun, Shenlong Wang, Kelvin Wong, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MP3: A Unified Model to Map, Perceive, Predict and Plan pdf

Raquel Urtasun, Abbas Sadat, Sergio Casas, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

SceneGen: Learning to Generate Realistic Traffic Scenes pdf

Raquel Urtasun, Shenlong Wang, Mengye Ren, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Be Your Own Prada: Fashion Synthesis with Structural Coherence

Sanja Fidler, Raquel Urtasun, Dahua Lin, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Efficient Multiple Instance Metric Learning Using Weakly Supervised Data

Yaoliang Yu, Eric P. Xing, Raquel Urtasun, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Diverse and Natural Image Descriptions via a Conditional GAN

Sanja Fidler, Raquel Urtasun, Bo Dai, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Map-Based Probabilistic Visual Self-Localization

Andreas Geiger, Raquel Urtasun, Marcus A. Brubaker, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning to Reweight Examples for Robust Deep Learning

Bin Yang, Raquel Urtasun, Mengye Ren, 2018, ICML.

Factorized Orthogonal Latent Spaces

Trevor Darrell, Raquel Urtasun, Carl Henrik Ek, 2010, AISTATS.

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects pdf

Sergio Casas, Raquel Urtasun, Ming Liang, 2020, ECCV.

Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images

Raquel Urtasun, Rupert Müller, Stefan Auer, 2017, Remote. Sens..

opologically controlled segmentation of 3D magnetic resonance images of the head by using morphological operators

Isabelle Bloch, Michel Couprie, Raquel Urtasun, 2003, Pattern Recognit..

Hierarchical Recurrent Attention Networks for Structured Online Maps

Raquel Urtasun, Wei-Chiu Ma, Namdar Homayounfar, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Joint 2D-3D Representations for Depth Completion

Raquel Urtasun, Ming Liang, Bin Yang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Raquel Urtasun, Ming Liang, Bin Yang, 2020, ECCV.

Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors

Jian Zhang, Raquel Urtasun, Alexander G. Schwing, 2013, 2013 IEEE International Conference on Computer Vision.

HouseCraft: Building Houses from Rental Ads and Street Views

Sanja Fidler, Raquel Urtasun, Shenlong Wang, 2016, ECCV.

Robust Monocular Epipolar Flow Estimation

Raquel Urtasun, David A. McAllester, Koichiro Yamaguchi, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Deformable Filter Convolution for Point Cloud Reasoning pdf

Renjie Liao, Yuwen Xiong, Raquel Urtasun, 2019, ArXiv.

Automatic Determination of Shoulder Joint Limits Using Quaternion Field Boundaries

Pascal Fua, Andrew J. Hanson, Raquel Urtasun, 2003, Int. J. Robotics Res..

Sparse Coding for Learning Interpretable Spatio-Temporal Primitives

Gregory Shakhnarovich, Raquel Urtasun, Taehwan Kim, 2010, NIPS.

DSDNet: Deep Structured self-Driving Network pdf

Renjie Liao, Raquel Urtasun, Shenlong Wang, 2020, ECCV.

Directed Acyclic Graphs

Raquel Urtasun, R. Urtasun, 2017, Encyclopedia of GIS.

3D tracking for gait characterization and recognition

Pascal Fua, Raquel Urtasun, P. Fua, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture

Pascal Fua, Raquel Urtasun, Lorna Herda, 2004, ECCV.

Hierarchical Verification for Adversarial Robustness

Ersin Yumer, Raquel Urtasun, Cong Han Lim, 2020, ICML.

Understanding High-Level Semantics by Modeling Traffic Patterns

Andreas Geiger, Raquel Urtasun, Hongyi Zhang, 2013, 2013 IEEE International Conference on Computer Vision.

LoCo: Local Contrastive Representation Learning pdf

Yuwen Xiong, Raquel Urtasun, Mengye Ren, 2020, NeurIPS.

Deep Feedback Inverse Problem Solver pdf

Raquel Urtasun, Shenlong Wang, Jiayuan Gu, 2021, ECCV.

Neural Guided Constraint Logic Programming for Program Synthesis

William E. Byrd, Lisa Zhang, Renjie Liao, 2018, NeurIPS.

DARNet: Deep Active Ray Network for Building Segmentation

Sanja Fidler, Renjie Liao, Raquel Urtasun, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion pdf

Meet Shah, Raquel Urtasun, Carlos Vallespi-Gonzalez, 2020, CoRL.

StrObe: Streaming Object Detection from LiDAR Packets pdf

Sergio Casas, Raquel Urtasun, Rui Hu, 2020, CoRL.

Local deformation models for monocular 3D shape recovery

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Real-time coarse-to-fine topologically preserving segmentation

Sanja Fidler, Raquel Urtasun, Jian Yao, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Diverse Complexity Measures for Dataset Curation in Self-Driving pdf

Ersin Yumer, Raquel Urtasun, Bin Yang, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

3D Graph Neural Networks for RGBD Semantic Segmentation

Sanja Fidler, Renjie Liao, Raquel Urtasun, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving pdf

Ersin Yumer, Raquel Urtasun, Ming Liang, 2021, ArXiv.

PLUME: Efficient 3D Object Detection from Stereo Images pdf

Yan Wang, Raquel Urtasun, Ming Liang, 2021, ArXiv.

The Importance of Prior Knowledge in Precise Multimodal Prediction pdf

Sergio Casas, Raquel Urtasun, Simon Suo, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

Renjie Liao, Yuwen Xiong, Raquel Urtasun, 2019, CoRL.

Learning to Communicate and Correct Pose Errors pdf

Raquel Urtasun, Jingkang Wang, Mengye Ren, 2020, CoRL.

Enhancing Road Maps by Parsing Aerial Images Around the World

Sanja Fidler, Raquel Urtasun, Shenlong Wang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Learning Deep Structured Models

Alan L. Yuille, Raquel Urtasun, Alexander G. Schwing, 2014, ICML.

FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation

Andreas Geiger, Raquel Urtasun, Philip Lenz, 2014, 2015 IEEE International Conference on Computer Vision (ICCV).

Tell Me What You See and I Will Show You Where It Is

Jia Xu, Raquel Urtasun, Alexander G. Schwing, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Inference in Probabilistic Graphical Models by Graph Neural Networks

Lisa Zhang, Renjie Liao, Yuwen Xiong, 2018, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Order-Embeddings of Images and Language pdf

Sanja Fidler, Raquel Urtasun, Ryan Kiros, 2015, ICLR.

Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation

Raquel Urtasun, David A. McAllester, Koichiro Yamaguchi, 2014, ECCV.

End-to-end Learning of Multi-sensor 3D Tracking by Detection

Raquel Urtasun, Davi Frossard, R. Urtasun, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

Renjie Liao, Raquel Urtasun, Cole Gulino, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Few-Shot Learning Through an Information Retrieval Lens

Raquel Urtasun, Richard S. Zemel, Eleni Triantafillou, 2017, NIPS.

Deep Parametric Continuous Convolutional Neural Networks

Raquel Urtasun, Shenlong Wang, Simon Suo, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Rank priors for continuous non-linear dimensionality reduction

Trevor Darrell, Andreas Geiger, Raquel Urtasun, 2009, CVPR.

Sufficient dimension reduction for visual sequence classification

Michael I. Jordan, Raquel Urtasun, Alex Shyr, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Cost-Efficient Online Hyperparameter Optimization pdf

Yuwen Xiong, Raquel Urtasun, Jingkang Wang, 2021, ArXiv.

Towards Generalizable Sentence Embeddings

Raquel Urtasun, Richard S. Zemel, Jamie Ryan Kiros, 2016, Rep4NLP@ACL.

Efficient Algorithms for Semantic Scene Parsing

Raquel Urtasun, 2013 .

Weakly-supervised 3D Shape Completion in the Wild pdf

Zihao Wang, Yuwen Xiong, Raquel Urtasun, 2020, ECCV.

Style‐Based Motion Synthesis †

Pascal Fua, Daniel Thalmann, Ronan Boulic, 2004, Comput. Graph. Forum.

3D Object Proposals for Accurate Object Class Detection

Huimin Ma, Sanja Fidler, Raquel Urtasun, 2015, NIPS.

Learning Deep Parsimonious Representations

Renjie Liao, Raquel Urtasun, Richard S. Zemel, 2016, NIPS.

DAGMapper: Learning to Map by Discovering Lane Topology

Raquel Urtasun, Xinyu Wu, Wei-Chiu Ma, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors pdf

Raquel Urtasun, Simon Suo, Sergio Casas, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling pdf

Ersin Yumer, Raquel Urtasun, Shenlong Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving pdf

Ersin Yumer, Raquel Urtasun, Shenlong Wang, 2021, ArXiv.

GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation

Renjie Liao, Raquel Urtasun, Xiaojuan Qi, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

IntentNet: Learning to Predict Intention from Raw Sensor Data pdf

Sergio Casas, Raquel Urtasun, Wenjie Luo, 2018, CoRL.

Adversarial Attacks On Multi-Agent Communication pdf

Raquel Urtasun, Jingkang Wang, Mengye Ren, 2021, ArXiv.

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving pdf

Raquel Urtasun, Ming Liang, Bin Yang, 2020, ArXiv.

Lost Shopping! Monocular Localization in Large Indoor Spaces

Sanja Fidler, Raquel Urtasun, Shenlong Wang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Efficient Summarization with Read-Again and Copy Mechanism pdf

Sanja Fidler, Raquel Urtasun, Wenjie Luo, 2016, ArXiv.

Multi-Agent Routing Value Iteration Network

Raquel Urtasun, Mengye Ren, Quinlan Sykora, 2020, ICML.

3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection

Sanja Fidler, Raquel Urtasun, Yukun Zhu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Exploiting Semantic Information and Deep Matching for Optical Flow

Min Bai, Raquel Urtasun, Wenjie Luo, 2016, ECCV.

3D Morphing without User Interaction

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2004 .

Learning Deep Structured Active Contours End-to-End

Min Bai, Lisa Zhang, Renjie Liao, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Joint 3D Estimation of Objects and Scene Layout

Andreas Geiger, Raquel Urtasun, Christian Wojek, 2011, NIPS.

UPSNet: A Unified Panoptic Segmentation Network

Min Bai, Ersin Yumer, Rui Hu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images

Sanja Fidler, Raquel Urtasun, Shenlong Wang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation

Renjie Liao, Raquel Urtasun, Xiaojuan Qi, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Joint Embeddings of Scene Graphs and Images

Matthew B. Blaschko, Raquel Urtasun, Richard S. Zemel, 2017, ICLR.

Learning to Remember from a Multi-Task Teacher pdf

Yuwen Xiong, Raquel Urtasun, Mengye Ren, 2019, ArXiv.

Convolutional Recurrent Network for Road Boundary Extraction

Raquel Urtasun, Shenlong Wang, Wei-Chiu Ma, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Song From PI: A Musically Plausible Network for Pop Music Generation pdf

Sanja Fidler, Raquel Urtasun, Hang Chu, 2016, ICLR.

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

Roberto Cipolla, Raquel Urtasun, Johann Marius Zöllner, 2016, 2018 IEEE Intelligent Vehicles Symposium (IV).

Efficient Large-Scale Stereo Matching

Andreas Geiger, Raquel Urtasun, Martin Roser, 2010, ACCV.

Mahalanobis Motion Generation

Pascal Fua, Daniel Thalmann, Raquel Urtasun, 2004 .

Efficient Learning of Structured Predictors in General Graphical Models pdf

Tamir Hazan, Raquel Urtasun, 2012, ArXiv.

Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm

Marc Pollefeys, Tamir Hazan, Raquel Urtasun, 2014, ICML.

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting pdf

Sergio Casas, Renjie Liao, Yuwen Xiong, 2021, ArXiv.

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

Sanja Fidler, Raquel Urtasun, Dahua Lin, 2013, 2013 IEEE International Conference on Computer Vision.

Monocular Object Instance Segmentation and Depth Ordering with CNNs

Sanja Fidler, Raquel Urtasun, Alexander G. Schwing, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks pdf

Renjie Liao, Raquel Urtasun, Richard Zemel, 2020, ICLR.

Learning to Localize Through Compressed Binary Maps

Raquel Urtasun, Shenlong Wang, Julieta Martinez, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Identifying Unknown Instances for Autonomous Driving pdf

Raquel Urtasun, Shenlong Wang, Ming Liang, 2019, CoRL.

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles pdf

Raquel Urtasun, Jingkang Wang, Mengye Ren, 2021, ArXiv.

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net

Bin Yang, Raquel Urtasun, Wenjie Luo, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins

Marc Pollefeys, Tamir Hazan, Raquel Urtasun, 2012, NIPS.

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop

Sergio Casas, Raquel Urtasun, Ming Liang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs

Sanja Fidler, Raquel Urtasun, Ziyu Zhang, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles

Ersin Yumer, Raquel Urtasun, Yen-Chen Lin, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Sports Field Localization via Deep Structured Models

Sanja Fidler, Raquel Urtasun, Namdar Homayounfar, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

3D Traffic Scene Understanding From Movable Platforms

Martin Lauer, Raquel Urtasun, Christian Wojek, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Spectral Clustering Learning

Raquel Urtasun, Richard S. Zemel, Marc T. Law, 2017, ICML.

Box in the Box: Joint 3D Layout and Object Reasoning from Single Images

Sanja Fidler, Marc Pollefeys, Raquel Urtasun, 2013, 2013 IEEE International Conference on Computer Vision.

A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction

Tamir Hazan, Raquel Urtasun, R. Urtasun, 2010, NIPS.

Approximated Structured Prediction for Learning Large Scale Graphical Models pdf

Tamir Hazan, Raquel Urtasun, 2010, ArXiv.

Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding pdf

Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, 2014, ArXiv.

Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision

Sanja Fidler, Raquel Urtasun, Liang-Chieh Chen, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

3D Human Body Tracking Using Deterministic Temporal Motion Models

Pascal Fua, Raquel Urtasun, P. Fua, 2004, ECCV.

Single Image Intrinsic Decomposition Without a Single Intrinsic Image

Bolei Zhou, Antonio Torralba, Raquel Urtasun, 2018, ECCV.

Are we ready for autonomous driving? The KITTI vision benchmark suite

Andreas Geiger, Raquel Urtasun, Philip Lenz, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

PolyTransform: Deep Polygon Transformer for Instance Segmentation

Yuwen Xiong, Raquel Urtasun, Wei-Chiu Ma, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Leveraging Constraint Logic Programming for Neural Guided Program Synthesis

William E. Byrd, Lisa Zhang, Renjie Liao, 2018, ICLR.

LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving pdf

Renjie Liao, Raquel Urtasun, Abbas Sadat, 2021, ArXiv.

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars pdf

Raquel Urtasun, Shenlong Wang, Julieta Martinez, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Training Deep Neural Networks via Direct Loss Minimization

Yang Song, Raquel Urtasun, Richard S. Zemel, 2015, ICML.

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization

Raquel Urtasun, Shenlong Wang, Gellért Máttyus, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction

Raquel Urtasun, Mathieu Salzmann, 2012, ECCV.

Visual Semantic Search: Retrieving Videos via Complex Textual Queries

Sanja Fidler, Raquel Urtasun, Chen Kong, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Bottom-Up Segmentation for Top-Down Detection

Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models pdf

Raquel Urtasun, Shenlong Wang, Kelvin Wong, 2020, NeurIPS.

Soccer Field Localization from a Single Image pdf

Sanja Fidler, Raquel Urtasun, Namdar Homayounfar, 2016, ArXiv.

Skip-Thought Vectors

Sanja Fidler, Raquel Urtasun, Ruslan Salakhutdinov, 2015, NIPS.

Dense RepPoints: Representing Visual Objects with Dense Point Sets pdf

Zheng Zhang, Raquel Urtasun, Stephen Lin, 2019, ECCV.

Deep Structured Reactive Planning pdf

Ersin Yumer, Raquel Urtasun, Wenyuan Zeng, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

The Reversible Residual Network: Backpropagation Without Storing Activations

Raquel Urtasun, Roger B. Grosse, Mengye Ren, 2017, NIPS.

Blending Learning and Inference in Conditional Random Fields

Tamir Hazan, Raquel Urtasun, Alexander G. Schwing, 2016, J. Mach. Learn. Res..

Efficient Exact Inference for 3D Indoor Scene Understanding

Raquel Urtasun, Alexander G. Schwing, A. Schwing, 2012, ECCV.

HDNET: Exploiting HD Maps for 3D Object Detection pdf

Bin Yang, Raquel Urtasun, Ming Liang, 2018, CoRL.

An automatic method for determining quaternion field boundaries for ball-and-socket joint limits

Pascal Fua, Andrew J. Hanson, Raquel Urtasun, 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

Deep Multi-Sensor Lane Detection

Min Bai, Raquel Urtasun, Shenlong Wang, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation

Raquel Urtasun, Mathieu Salzmann, 2010, NIPS.

Gaussian Processes for Object Categorization

Trevor Darrell, Ashish Kapoor, Raquel Urtasun, 2010, International Journal of Computer Vision.

TorontoCity: Seeing the World with a Million Eyes

Min Bai, Sanja Fidler, Bin Yang, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

SGN: Sequential Grouping Networks for Instance Segmentation

Sanja Fidler, Raquel Urtasun, Shu Liu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization

Andreas Geiger, Raquel Urtasun, Marcus A. Brubaker, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Fully Connected Deep Structured Networks pdf

Raquel Urtasun, Alexander G. Schwing, A. Schwing, 2015, ArXiv.

Estimating Drivable Collision-Free Space from Monocular Video

Raquel Urtasun, Jian Yao, Yuichi Taguchi, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

LevelSet R-CNN: A Deep Variational Method for Instance Segmentation

Yuwen Xiong, Raquel Urtasun, Wei-Chiu Ma, 2020, ECCV.

Direct Loss Minimization for Training Deep Neural Nets pdf

Yang Song, Raquel Urtasun, Richard S. Zemel, 2015, ArXiv.

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

Raquel Urtasun, Richard S. Zemel, Yujia Li, 2016, NIPS.

Efficient structured prediction for 3D indoor scene understanding

Marc Pollefeys, Tamir Hazan, Raquel Urtasun, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Sequential Inference for Deep Gaussian Process

Yali Wang, Brahim Chaib-draa, Raquel Urtasun, 2016, AISTATS.

Instance-Level Segmentation with Deep Densely Connected MRFs pdf

Sanja Fidler, Raquel Urtasun, Ziyu Zhang, 2015, ArXiv.

Neuroaesthetics in fashion: Modeling the perception of fashionability

Francesc Moreno-Noguer, Sanja Fidler, Raquel Urtasun, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks pdf

Raquel Urtasun, Julieta Martinez, Wenyuan Zeng, 2020, ArXiv.

Find your way by observing the sun and other semantic cues

Sanja Fidler, Raquel Urtasun, Shenlong Wang, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Monocular 3D tracking of the golf swing

David J. Fleet, Pascal Fua, Raquel Urtasun, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Deep Semantic Matching for Optical Flow pdf

Min Bai, Raquel Urtasun, Wenjie Luo, 2016, ArXiv.

Distributed message passing for large scale graphical models

Marc Pollefeys, Tamir Hazan, Raquel Urtasun, 2011, CVPR 2011.

Deep Continuous Fusion for Multi-sensor 3D Object Detection

Bin Yang, Raquel Urtasun, Shenlong Wang, 2018, ECCV.

Probabilistic Kernel Combination for Hierarchical Object Categorization

Trevor Darrell, Ashish Kapoor, Raquel Urtasun, 2009 .

Active Learning with Gaussian Processes for Object Categorization

Trevor Darrell, Ashish Kapoor, Raquel Urtasun, 2007, 2007 IEEE 11th International Conference on Computer Vision.

3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model

Sven J. Dickinson, Sanja Fidler, Raquel Urtasun, 2012, NIPS.

Temporal motion models for monocular and multiview 3D human body tracking

David J. Fleet, Pascal Fua, Raquel Urtasun, 2006, Comput. Vis. Image Underst..

Hierarchical implicit surface joint limits for human body tracking

Pascal Fua, Raquel Urtasun, Lorna Herda, 2005, Comput. Vis. Image Underst..

Efficient Graph Generation with Graph Recurrent Attention Networks pdf

Renjie Liao, Raquel Urtasun, Richard S. Zemel, 2019, NeurIPS.

Human Motion Models for Characterization and Recognition

Pascal Fua, Raquel Urtasun, P. Fua, 2004 .

Physically Realizable Adversarial Examples for LiDAR Object Detection

Raquel Urtasun, Ming Liang, Bin Yang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Supervised hierarchical Pitman-Yor process for natural scene segmentation

Trevor Darrell, Michael I. Jordan, Raquel Urtasun, 2011, CVPR 2011.

Annotating Object Instances with a Polygon-RNN

Sanja Fidler, Raquel Urtasun, Kaustav Kundu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

Rui Hu, Raquel Urtasun, Shenlong Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Monocular 3D Object Detection for Autonomous Driving

Sanja Fidler, Raquel Urtasun, Huimin Ma, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition pdf

Ersin Yumer, Raquel Urtasun, Shenlong Wang, 2021, ArXiv.

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes

Sergio Casas, Raquel Urtasun, Mengye Ren, 2021, CoRL.

Auto4D: Learning to Label 4D Objects from Sequential Point Clouds pdf

Raquel Urtasun, Ming Liang, Wenyuan Zeng, 2021, ArXiv.

NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation

Sanja Fidler, Renjie Liao, Raquel Urtasun, 2021, UAI.

PLUMENet: Efficient 3D Object Detection from Stereo Images

Yan Wang, Raquel Urtasun, Ming Liang, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Adversarial Attacks On Multi-Agent Communication pdf

Raquel Urtasun, Jingkang Wang, Mengye Ren, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving pdf

Ersin Yumer, Eilyan Bitar, Raquel Urtasun, 2021, CoRL.

Deep Structured Reactive Planning

Ersin Yumer, Raquel Urtasun, Wenyuan Zeng, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes pdf

Sergio Casas, Raquel Urtasun, Mengye Ren, 2021, ArXiv.

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving

Ersin Yumer, Raquel Urtasun, Shenlong Wang, 2021, Computer Vision and Pattern Recognition.

Self-Supervised Representation Learning from Flow Equivariance pdf

Yuwen Xiong, Raquel Urtasun, Mengye Ren, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving pdf

Sergio Casas, Renjie Liao, Raquel Urtasun, 2021, ArXiv.

Asynchronous Multi-View SLAM

Raquel Urtasun, Shenlong Wang, Ioan Andrei Barsan, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild

Raquel Urtasun, Shenlong Wang, Sivabalan Manivasagam, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

Sergio Casas, Raquel Urtasun, Jingkang Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Least-Squares Minimization Under Constraints

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2010 .

Automatic Determination of Shoulder Joint Limits using Experimentally Determined Quaternion Field Boundaries

Pascal Fua, Andrew J. Hanson, Raquel Urtasun, 2003 .

Workshop on Machine Learning for Autonomous Vehicles 2017

Silvio Savarese, Balaraman Ravindran, Raquel Urtasun, .

Regulation of Amphiregulin Gene Expression by β-Catenin Signaling in Human Hepatocellular Carcinoma Cells: A Novel Crosstalk between FGF19 and the EGFR System

Raquel Urtasun, Jesús Prieto, Monica Santamaria, 2012, PloS one.