R. Urtasun

发表

Learning Deep Structured Models

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

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.

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.

The Reversible Residual Network: Backpropagation Without Storing Activations

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

Bottom-Up Segmentation for Top-Down Detection

Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, 2013, 2013 IEEE 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).

Skip-Thought Vectors

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

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).

Vision meets robotics: The KITTI dataset

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

SGN: Sequential Grouping Networks for Instance Segmentation

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

Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation

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

Robust Monocular Epipolar Flow Estimation

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

Convex max-product algorithms for continuous MRFs with applications to protein folding

David A. McAllester, R. Urtasun, Tamir Hazan, 2011, ICML 2011.

Rank priors for continuous non-linear dimensionality reduction

Trevor Darrell, R. Urtasun, Andreas Geiger, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Continuous Markov Random Fields for Robust Stereo Estimation pdf

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

Topologically-constrained latent variable models

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

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).

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

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

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.

D Traffic Scene Understanding from Movable Platforms

C. Wojek, R. Urtasun, Andreas Geiger, 2013 .

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.

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).

Order-Embeddings of Images and Language pdf

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

Deep Parametric Continuous Convolutional Neural Networks

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

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

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

Transductive Gaussian processes for image denoising

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

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

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

Image Warping

R. Urtasun, 2000 .

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.

Bayesian Localized Multiple Kernel Learning

Trevor Darrell, R. Urtasun, Mario Christoudias, 2009 .

Transferring Nonlinear Representations using Gaussian Processes with a Shared Latent Space

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

3D Object Proposals for Accurate Object Class Detection

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

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.

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.

Style‐Based Motion Synthesis †

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

Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes pdf

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

Non-linear matrix factorization with Gaussian processes

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

Efficient Large-Scale Stereo Matching

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

Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs

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

Efficient Deep Learning for Stereo Matching

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

Few-Shot Learning Through an Information Retrieval Lens

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

Co-training with noisy perceptual observations

Trevor Darrell, R. Urtasun, C. M. Christoudias, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

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).

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

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

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.

Efficient Graph Generation with Graph Recurrent Attention Networks pdf

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

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

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

Factorized Orthogonal Latent Spaces

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

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

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

Leveraging Constraint Logic Programming for Neural Guided Program Synthesis

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

UPSNet: A Unified Panoptic Segmentation Network

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

Understanding High-Level Semantics by Modeling Traffic Patterns

Andreas Geiger, Raquel Urtasun, Hongyi Zhang, 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.

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.

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.

FOLS : Factorized Orthogonal Latent Spaces

Trevor Darrell, R. Urtasun, M. Salzmann, 2010 .

Probabilistic Map Localization through Visual Odometry

Marcus A. Brubaker, R. Urtasun, Andreas Geiger, 2013 .

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).

Lifelong Learning : A Reinforcement Learning Approach

Shie Mannor, Balaraman Ravindran, D. Mankowitz, 2022 .

Workshop on Machine Learning for Autonomous Vehicles 2017

Silvio Savarese, Balaraman Ravindran, Raquel Urtasun, .

Semantic Head Instance Head Class Box Mask logits Panoptic Head Image FPN Feature Semantic logits

R. Urtasun, Renjie Liao, Ersin Yumer, 2019 .

Step 1 : Clothoid Step 2 : Velocity Profile Step 3 : Trajectory

R. Urtasun, S. Casas, Wenyuan Zeng, 2019 .

EXTENDING NETWORK NORMALIZATION SCHEMES

R. Zemel, R. Urtasun, Fabian H Sinz, 2017 .

Distributed Algorithms for Large Scale Learning and Inference in Graphical Models

A. Schwing, R. Urtasun, M. Pollefeys, 2015 .

3D Traffic Scene Understanding From Movable Platforms

C. Wojek, R. Urtasun, Andreas Geiger, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

RIDING ROLE AGENT VEHICLE PLACE ROLE AGENT VEHICLE PLACE VALUE MAN HORSE OUTSIDE VALUE DOG SKATEBOARD

Jiaya Jia, R. Urtasun, S. Fidler, 2017 .

Matrix ? Why does Cypher betray Morpheus ? How does the movie end ?

A. Torralba, R. Urtasun, S. Fidler, 2016 .

Situation Recognition with Graph Neural Networks

Jiaya Jia, R. Urtasun, S. Fidler, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Deep Multi-Sensor Lane Detection

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

Learning to Localize Using a LiDAR Intensity Map

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

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

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

Generative Grammar Semantic Trees Parse Graphs Training Descriptions New Image Scene Graph Semantic Trees Generated Description Vision Models Training Images

R. Urtasun, S. Fidler, Dahua Lin, 2015 .

Learning Lane Graph Representations for Motion Forecasting

R. Urtasun, Renjie Liao, Binh Yang, 2020, ECCV.

Least-Squares Minimization Under Constraints

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2010 .

SBNet: Sparse Blocks Network for Fast Inference

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

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).

Role of Postbiotics in Diabetes Mellitus: Current Knowledge and Future Perspectives

R. Urtasun, Miriam Araña, Miriam Cabello-Olmo, 2021, Foods.

LANCZOSNET: MULTI-SCALE DEEP GRAPH CONVO-

R. Zemel, R. Urtasun, Renjie Liao, 2018 .

Matrix metalloproteinase‐10 expression is induced during hepatic injury and plays a fundamental role in liver tissue repair

R. Urtasun, S. Morini, J. Prieto, 2014, Liver international : official journal of the International Association for the Study of the Liver.

A Generative Model of Indoor Scenes

R. Urtasun, 2011 .

Splicing Factor SLU7 Prevents Oxidative Stress‐Mediated Hepatocyte Nuclear Factor 4α Degradation, Preserving Hepatic Differentiation and Protecting From Liver Damage

R. Urtasun, B. Sangro, A. Pineda-Lucena, 2021, Hepatology.

Artificial Intelligence and Statistics Conference

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

[Hepatic stellate cells and oxidative stress].

R. Urtasun, N. Nieto, 2007, Revista espanola de enfermedades digestivas : organo oficial de la Sociedad Espanola de Patologia Digestiva.

Dimensionality Reduction for Representing the Knowledge of Probabilistic Models

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

Virtual Correspondence: Humans as a Cue for Extreme-View Geometry

A. Torralba, R. Urtasun, Wei-Chiu Ma, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Human Motion Models for Characterization and Recognition

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

Topologically-Constrained Latent Variable Models Keywords : Gaussian processes , Latent Variable Models , Topology , Dimensionality Reduction , Human Motion

R. Urtasun, 2008 .

Connective tissue growth factor autocriny in human hepatocellular carcinoma: Oncogenic role and regulation by epidermal growth factor receptor/yes‐associated protein–mediated activation

R. Urtasun, J. Prieto, M. Avila, 2011, Hepatology.

Osteopontin induces ductular reaction contributing to liver fibrosis

R. Urtasun, N. Nieto, Xiaodong Wang, 2014, Gut.

GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition pdf

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

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

R. Urtasun, Xinchen Yan, Ersin Yumer, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Engineered fibroblast growth factor 19 protects from acetaminophen-induced liver injury and stimulates aged liver regeneration in mice

R. Urtasun, J. Prieto, M. Avila, 2017, Cell Death and Disease.

Reactive nitrogen species switch on early extracellular matrix remodeling via induction of MMP1 and TNFalpha.

R. Urtasun, N. Nieto, F. Cubero, 2009, Gastroenterology.

Fibroblast Growth Factor 15/19 in Hepatocarcinogenesis

R. Urtasun, M. Avila, F. Corrales, 2017, Digestive Diseases.

Bile Acid Signaling in Liver Regeneration and Tumor Development

R. Urtasun, M. Avila, F. Corrales, 2017 .

Ileal FGF15 contributes to fibrosis‐associated hepatocellular carcinoma development

R. Urtasun, S. Morini, J. Prieto, 2015, International journal of cancer.

Virtual Correspondence: Humans as a Cue for Extreme-View Geometry

A. Torralba, R. Urtasun, Wei-Chiu Ma, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Self-Supervised Representation Learning from Flow Equivariance pdf

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

Signalling via the osteopontin and high mobility group box-1 axis drives the fibrogenic response to liver injury

R. Urtasun, N. Nieto, D. Antoine, 2016, Gut.

Osteopontin binding to lipopolysaccharide lowers tumor necrosis factor‐α and prevents early alcohol‐induced liver injury in mice

R. Urtasun, N. Nieto, M. Fiel, 2014, Hepatology.

Autoimmune , CholestAtiC And BiliAry diseAse The Epidermal Growth Factor Receptor Ligand Amphiregulin Protects From Cholestatic Liver Injury and Regulates Bile Acids Synthesis

R. Urtasun, M. Avila, B. Sangro, 2019 .

GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting

R. Urtasun, Simon Suo, S. Casas, 2022, IEEE International Conference on Robotics and Automation.

Fibroblast growth factor 15/19 (FGF15/19) protects from diet-induced hepatic steatosis: development of an FGF19-based chimeric molecule to promote fatty liver regeneration

R. Urtasun, F. Villarroya, J. Prieto, 2017, Gut.

A novel polymorphism IVS2+843C>T in the alternate promoter b1 of the human AE2 anion exchanger gene

R. Urtasun, J. Prieto, S. Recalde, 2001, Human Mutation.

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation (Supplementary material)

R. Zemel, R. Urtasun, S. Fidler, 2021 .

Osteopontin, an oxidant stress sensitive cytokine, up‐regulates collagen‐I via integrin αVβ3 engagement and PI3K/pAkt/NFκB signaling

R. Urtasun, N. Nieto, Xiaodong Wang, 2012, Hepatology.

Rethinking Closed-Loop Training for Autonomous Driving

R. Urtasun, Mengye Ren, Wenyuan Zeng, 2023, ECCV.

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

R. Urtasun, Wei-Chiu Ma, Jingkang Wang, 2023, CoRL.

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

R. Urtasun, Mengye Ren, Wenyuan Zeng, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

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).

Gaussian Processes for Object Categorization

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

Active Learning with Gaussian Processes for Object Categorization

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

A Combination of Apple Vinegar Drink with Bacillus coagulans Ameliorates High Fat Diet-Induced Body Weight Gain, Insulin Resistance and Hepatic Steatosis

R. Urtasun, J. Díaz-Gómez, M. Pajares, 2020, Nutrients.

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.

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

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

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).

3D Human Body Tracking Using Deterministic Temporal Motion Models

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

Learning to Reweight Examples for Robust Deep Learning

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

Reviving and Improving Recurrent Back-Propagation pdf

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

LanczosNet: Multi-Scale Deep Graph Convolutional Networks pdf

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

A High Performance CRF Model for Clothes Parsing

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

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.

Splicing regulator SLU7 is essential for maintaining liver homeostasis.

R. Urtasun, J. Prieto, M. Ávila, 2014, The Journal of clinical investigation.

Deep Watershed Transform for Instance Segmentation

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

Splicing events in the control of genome integrity: role of SLU7 and truncated SRSF3 proteins

R. Urtasun, B. Sangro, M. Ávila, 2019, Nucleic acids research.

Monocular 3-D Tracking of the Golf Swing

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

Oxidative and nitrosative stress and fibrogenic response.

R. Urtasun, N. Nieto, L. Conde de la Rosa, 2008, Clinics in liver disease.

Oxidative a nd Nitrosative Stress a nd Fibrogenic Response

R. Urtasun, L. Conde, N. Nieto, 2008 .

Alterations in the expression and activity of pre-mRNA splicing factors in hepatocarcinogenesis.

R. Urtasun, J. Prieto, M. Ávila, 2014, Hepatic oncology.

Bile acids, FGF15/19 and liver regeneration: From mechanisms to clinical applications.

R. Urtasun, J. Prieto, M. Ávila, 2017, Biochimica et biophysica acta. Molecular basis of disease.

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.

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.

Monocular 3D Object Detection for Autonomous Driving

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

Methods for analysis of specific DNA methylation status.

R. Urtasun, M. Pajares, J. Sandoval, 2020, Methods.

Epidermal Growth Factor Receptor (EGFR) Crosstalks in Liver Cancer

R. Urtasun, J. Prieto, M. Ávila, 2011, Cancers.

Molecular cloning and genomic organization of the mouse AE2 anion exchanger gene.

R. Urtasun, J. Medina, J. Lecanda, 2000, Biochemical and biophysical research communications.

Lactiplantibacillus plantarum DSM20174 Attenuates the Progression of Non-Alcoholic Fatty Liver Disease by Modulating Gut Microbiota, Improving Metabolic Risk Factors, and Attenuating Adipose Inflammation

R. Urtasun, F. Milagro, M. Pajares, 2022, Nutrients.

Dual Targeting of Histone Methyltransferase G9a and DNA‐Methyltransferase 1 for the Treatment of Experimental Hepatocellular Carcinoma

R. Urtasun, F. Prósper, J. Zucman‐Rossi, 2019, Hepatology.

Splicing regulator SLU7 preserves survival of hepatocellular carcinoma cells and other solid tumors via oncogenic miR-17-92 cluster expression

R. Urtasun, S. Vicent, J. Prieto, 2016, Oncogene.

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).

Latent Structured Active Learning

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

Alcohol and liver fibrosis.

R. Urtasun, N. Nieto, F. Cubero, 2009, Seminars in liver disease.

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.

Automatic Determination of Shoulder Joint Limits Using Quaternion Field Boundaries

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

Efficient Summarization with Read-Again and Copy Mechanism pdf

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

Identifying Unknown Instances for Autonomous Driving pdf

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

Annotating Object Instances with a Polygon-RNN

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

Deep Continuous Fusion for Multi-sensor 3D Object Detection

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

Proximal Deep Structured Models

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

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.

Oxidative stress modulates KLF6Full and its splice variants.

R. Urtasun, N. Nieto, F. Cubero, 2012, Alcoholism, clinical and experimental research.

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.

A constrained latent variable model

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

Towards Generalizable Sentence Embeddings

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

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.

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

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

Conditional Entropy Coding for Efficient Video Compression pdf

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

Unsupervised Distributed Feature Selection for Multi-view Object Recognition

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

Learning Joint 2D-3D Representations for Depth Completion

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

Single Image Intrinsic Decomposition Without a Single Intrinsic Image

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

SLU7 prevents oxidative stress-mediated HNF4 degradation preserving hepatic differentiation and protecting from liver damage

R. Urtasun, B. Sangro, F. Corrales, 2021 .

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).

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).

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).

3D Graph Neural Networks for RGBD Semantic Segmentation

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

HDNET: Exploiting HD Maps for 3D Object Detection pdf

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

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

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

Multi-View Learning in the Presence of View Disagreement pdf

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

Directed Acyclic Graphs

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

Map-Based Probabilistic Visual Self-Localization

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

Matrix metalloproteinase 10 contributes to hepatocarcinogenesis in a novel crosstalk with the stromal derived factor 1/C‐X‐C chemokine receptor 4 axis

R. Urtasun, S. Morini, J. Prieto, 2015, Hepatology.

A Family of MCMC Methods on Implicitly Defined Manifolds

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

Oxidative Stress Mechanisms in Hepatocarcinogenesis

R. Urtasun, M. Ávila, C. Berasain, 2015 .

Graph HyperNetworks for Neural Architecture Search pdf

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

DeepRoadMapper: Extracting Road Topology from Aerial Images

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

Oral Methylthioadenosine Administration Attenuates Fibrosis and Chronic Liver Disease Progression in Mdr2−/− Mice

R. Urtasun, J. Prieto, F. Corrales, 2010, PloS one.

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).

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

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

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

R. Urtasun, S. Casas, Wenyuan Zeng, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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.

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).

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).

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).

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).

IntentNet: Learning to Predict Intention from Raw Sensor Data pdf

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

Deep Structured Reactive Planning pdf

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

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

R. Urtasun, Renjie Liao, S. Casas, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

DSDNet: Deep Structured self-Driving Network pdf

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

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).

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

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

StrObe: Streaming Object Detection from LiDAR Packets pdf

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

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects pdf

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

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).

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).

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

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

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

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

PolyTransform: Deep Polygon Transformer for Instance Segmentation

R. Urtasun, Wei-Chiu Ma, Yuwen Xiong, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting

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

3D Traffic Scene Understanding From Movable Platforms

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

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).

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

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

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).

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.

Adversarial Attacks On Multi-Agent Communication pdf

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

Learning to Communicate and Correct Pose Errors pdf

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

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

R. Urtasun, Wenyuan Zeng, Julieta Martinez, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting

R. Urtasun, Simon Suo, S. Casas, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

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).

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).

Weakly-supervised 3D Shape Completion in the Wild pdf

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

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

R. Urtasun, Mengye Ren, S. 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).

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).

Fully Connected Deep Structured Networks pdf

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

End-to-End Deep Structured Models for Drawing Crosswalks

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

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction

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

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.

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).

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).

Asynchronous Multi-View SLAM

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

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).

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).

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).

Be Your Own Prada: Fashion Synthesis with Structural Coherence

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

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

R. Urtasun, Shenlong Wang, Sourav Biswas, 2020, NeurIPS.

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression

R. Urtasun, Shenlong Wang, K. Wong, 2020, 2020 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).

Learning Deep Parsimonious Representations

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

Deep Rigid Instance Scene Flow

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

Sports Field Localization via Deep Structured Models

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

Deep Spectral Clustering Learning

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

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.

Situation Recognition with Graph Neural Networks

Sanja Fidler, Renjie Liao, Raquel Urtasun, 2018 .

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

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

TorontoCity: Seeing the World with a Million Eyes

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

DeepSignals: Predicting Intent of Drivers Through Visual Signals

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

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).

DSIC: Deep Stereo Image Compression

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

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).

Dense RepPoints: Representing Visual Objects with Dense Point Sets pdf

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

Lost Shopping! Monocular Localization in Large Indoor Spaces

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

Joint 3D Estimation of Objects and Scene Layout

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

VideoClick: Video Object Segmentation with a Single Click pdf

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

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).

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).

Efficient Exact Inference for 3D Indoor Scene Understanding

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

Safety-Oriented Pedestrian Occupancy Forecasting

R. Urtasun, Renjie Liao, Xinchen Yan, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Blending Learning and Inference in Structured Prediction

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

Graph Partition Neural Networks for Semi-Supervised Classification pdf

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

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..

LoCo: Local Contrastive Representation Learning pdf

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

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

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

Epidermal Growth Factor Receptor Signaling in Hepatocellular Carcinoma: Inflammatory Activation and a New Intracellular Regulatory Mechanism

R. Urtasun, J. Prieto, F. Corrales, 2012, Digestive Diseases.

Pediococcus acidilactici pA1c® Improves the Beneficial Effects of Metformin Treatment in Type 2 Diabetes by Controlling Glycaemia and Modulating Intestinal Microbiota

R. Urtasun, F. Milagro, M. Pajares, 2023, Pharmaceutics.

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.

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).

Discriminative Gaussian process latent variable model for classification

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

MLPrune: Multi-Layer Pruning for Automated Neural Network Compression

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

Hierarchical Verification for Adversarial Robustness

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

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

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

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

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

Efficient Structured Prediction with Latent Variables for General Graphical Models

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

Distributed message passing for large scale graphical models

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

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

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

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).

Bayesian Filtering with Online Gaussian Process Latent Variable Models

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

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.

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

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

Training Deep Neural Networks via Direct Loss Minimization

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

Local deformation models for monocular 3D shape recovery

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

Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving

R. Urtasun, S. Casas, Ben Agro, 2023, 2308.01471.

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting pdf

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

Joint Embeddings of Scene Graphs and Images

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

UniSim: A Neural Closed-Loop Sensor Simulator

R. Urtasun, Wei-Chiu Ma, Jingkang Wang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to Remember from a Multi-Task Teacher

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

Deep Feedback Inverse Problem Solver pdf

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

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).

Exploiting Semantic Information and Deep Matching for Optical Flow

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

Generating Multi-sentence Natural Language Descriptions of Indoor Scenes

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

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

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

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

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

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

R. Urtasun, Rui Hu, Jingkang Wang, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Recovering and Simulating Pedestrians in the Wild pdf

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

Modeling Human Locomotion with Topologically Constrained Latent Variable Models

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

Towards Unsupervised Object Detection from LiDAR Point Clouds

R. Urtasun, Mengye Ren, S. Casas, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Hierarchical implicit surface joint limits for human body tracking

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

Generating Multi-Sentence Lingual Descriptions of Indoor Scenes pdf

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

A Sentence Is Worth a Thousand Pixels

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

Supplementary Material for Paper : Rent 3 D : FloorPlan Priors for Monocular Layout Estimation

A. Schwing, R. Urtasun, S. Fidler, 2015 .

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).

Multi-Agent Routing Value Iteration Network

R. Urtasun, Mengye Ren, Quinlan Sykora, 2020, 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).

Direct Loss Minimization for Training Deep Neural Nets pdf

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

Supervised hierarchical Pitman-Yor process for natural scene segmentation

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

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..

Matching Adversarial Networks

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

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.

Efficient structured prediction for 3D indoor scene understanding

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

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

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

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).

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

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

Learning Compact Representations for LiDAR Completion and Generation

R. Urtasun, Wei-Chiu Ma, Yuwen Xiong, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Data-driven animation of hand-object interactions

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

Nutritional Interventions with Bacillus coagulans Improved Glucose Metabolism and Hyperinsulinemia in Mice with Acute Intermittent Porphyria

R. Urtasun, F. Milagro, M. Moreno-Aliaga, 2023, International journal of molecular sciences.

4D-Former: Multimodal 4D Panoptic Segmentation

R. Urtasun, Enxu Li, Ali Athar, 2023, ArXiv.

MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory

R. Urtasun, Enxu Li, Sergio Casas, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning to Recognize Objects from Unseen Modalities

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

3D Object Proposals for Accurate Object Class Detection

Andrew G. Berneshawi, R. Urtasun, S. Fidler, 2015, NIPS.

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation

R. Urtasun, Yuwen Xiong, S. Manivasagam, 2023, ArXiv.

MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation

R. Urtasun, Simon Suo, S. Casas, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion

R. Urtasun, Yuwen Xiong, Rui Hu, 2023, ArXiv.

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

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

LightSim: Neural Lighting Simulation for Urban Scenes

R. Urtasun, Wei-Chiu Ma, Ava Pun, 2023, ArXiv.

Real-Time Neural Rasterization for Large Scenes

R. Urtasun, S. Manivasagam, Yun Chen, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Deformable Filter Convolution for Point Cloud Reasoning pdf

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

Mahalanobis Motion Generation

Pascal Fua, Daniel Thalmann, Raquel Urtasun, 2004 .

Sequential Inference for Deep Gaussian Process

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

Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing

R. Urtasun, S. Manivasagam, Ioan Andrei Bârsan, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Gaussian Processes for Object Categorization

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

Rent3D: Floor-plan priors for monocular layout estimation

A. Schwing, R. Urtasun, Kaustav Kundu, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials

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

Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion

R. Urtasun, Yuwen Xiong, Rui Hu, 2023, 2311.01017.

Dense RepPoints: Representing Visual Objects with Dense Point Sets

R. Urtasun, Stephen Lin, Yinghao Xu, 2019, ECCV.

Probabilistic Kernel Combination for Hierarchical Object Categorization

Trevor Darrell, Ashish Kapoor, Raquel Urtasun, 2009 .

Neural Guided Constraint Logic Programming for Program Synthesis

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

Exploiting Semantic Information and Deep Matching for Optical Flow

R. Urtasun, Kaustav Kundu, Wenjie Luo, 2016, ECCV.

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.

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).

Map-Based Probabilistic Visual Self-Localization

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

Proteus: Exploiting precision variability in deep neural networks

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

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.

Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization

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

Monocular Features Stereo Features ( Bird ' s eye view ) Inference Result

C. Wojek, R. Urtasun, Andreas Geiger, 2014 .