Segmentation of 3D head MR images using morphological reconstruction under constraints and automatic selection of markers. - Petr Dokládal; Raquel Urtasun; Isabelle Bloch; Line Garnero (ICIP (3), 2001)

An Automatic Method For Determining Quaternion Field Boundaries for Ball-and-Socket Joint Limits. - Lorna Herda; Raquel Urtasun; Pascal Fua; Andrew J. Hanson (FGR, 2002)

Automatic Determination of Shoulder Joint Limits Using Quaternion Field Boundaries. - Lorna Herda; Raquel Urtasun; Pascal Fua; Andrew J. Hanson (Int. J. Robotics Res., 2003)

opologically controlled segmentation of 3D magnetic resonance images of the head by using morphological operators. - Petr Dokládal; Isabelle Bloch; Michel Couprie; Daniel Ruijters; Raquel Urtasun; Line Garnero (Pattern Recognit., 2003)

Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture. - Lorna Herda; Raquel Urtasun; Pascal Fua (ECCV (2), 2004)

3D Human Body Tracking Using Deterministic Temporal Motion Models. - Raquel Urtasun; Pascal Fua (ECCV (3), 2004)

3D Tracking for Gait Characterization and Recognition. - Raquel Urtasun; Pascal Fua (FGR, 2004)

Style-Based Motion Synthesis. - Raquel Urtasun; Pascal Glardon; Ronan Boulic; Daniel Thalmann; Pascal Fua (Comput. Graph. Forum, 2004)

Monocular 3-D Tracking of the Golf Swing. - Raquel Urtasun; David J. Fleet; Pascal Fua (CVPR (2), 2005)

Monocular 3D Tracking of the Golf Swing. - Raquel Urtasun; David J. Fleet; Pascal Fua (CVPR (2), 2005)

Priors for People Tracking from Small Training Sets. - Raquel Urtasun; David J. Fleet; Aaron Hertzmann; Pascal Fua (ICCV, 2005)

Hierarchical implicit surface joint limits for human body tracking. - Lorna Herda; Raquel Urtasun; Pascal Fua (Comput. Vis. Image Underst., 2005)

3D People Tracking with Gaussian Process Dynamical Models. - Raquel Urtasun; David J. Fleet; Pascal Fua (CVPR (1), 2006)

Temporal motion models for monocular and multiview 3D human body tracking. - Raquel Urtasun; David J. Fleet; Pascal Fua (Comput. Vis. Image Underst., 2006)

Patch-Based Pose Inference with a Mixture of Density Estimators. - David Demirdjian; Raquel Urtasun (AMFG, 2007)

Modeling Human Locomotion with Topologically Constrained Latent Variable Models. - Raquel Urtasun; David J. Fleet; Neil D. Lawrence (Workshop on Human Motion, 2007)

Active Learning with Gaussian Processes for Object Categorization. - Ashish Kapoor; Kristen Grauman; Raquel Urtasun; Trevor Darrell (ICCV, 2007)

Discriminative Gaussian process latent variable model for classification. - Raquel Urtasun; Trevor Darrell (ICML, 2007)

Unsupervised feature selection via distributed coding for multi-view object recognition. - C. Mario Christoudias; Raquel Urtasun; Trevor Darrell (CVPR, 2008)

Local deformation models for monocular 3D shape recovery. - Mathieu Salzmann; Raquel Urtasun; Pascal Fua (CVPR, 2008)

Sparse probabilistic regression for activity-independent human pose inference. - Raquel Urtasun; Trevor Darrell (CVPR, 2008)

Topologically-constrained latent variable models. - Raquel Urtasun; David J. Fleet; Andreas Geiger 001; Jovan Popovic; Trevor Darrell; Neil D. Lawrence (ICML, 2008)

Co-training with noisy perceptual observations. - C. Mario Christoudias; Raquel Urtasun; Ashish Kapoor; Trevor Darrell (CVPR, 2009)

Rank priors for continuous non-linear dimensionality reduction. - Andreas Geiger 001; Raquel Urtasun; Trevor Darrell (CVPR, 2009)

Non-linear matrix factorization with Gaussian processes. - Neil D. Lawrence; Raquel Urtasun (ICML, 2009)

Efficient Large-Scale Stereo Matching. - Andreas Geiger 001; Martin Roser; Raquel Urtasun (ACCV (1), 2010)

Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction. - Mathieu Salzmann; Raquel Urtasun (CVPR, 2010)

Sufficient dimension reduction for visual sequence classification. - Alex Shyr; Raquel Urtasun; Michael I. Jordan (CVPR, 2010)

Learning to Recognize Objects from Unseen Modalities. - C. Mario Christoudias; Raquel Urtasun; Mathieu Salzmann; Trevor Darrell (ECCV (1), 2010)

A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction. - Tamir Hazan; Raquel Urtasun (NIPS, 2010)

Sparse Coding for Learning Interpretable Spatio-Temporal Primitives. - Taehwan Kim 003; Gregory Shakhnarovich; Raquel Urtasun (NIPS, 2010)

Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation. - Mathieu Salzmann; Raquel Urtasun (NIPS, 2010)

Approximated Structured Prediction for Learning Large Scale Graphical Models - Tamir Hazan; Raquel Urtasun (CoRR, 2010)

Gaussian Processes for Object Categorization. - Ashish Kapoor; Kristen Grauman; Raquel Urtasun; Trevor Darrell (Int. J. Comput. Vis., 2010)

Factorized Orthogonal Latent Spaces. - Mathieu Salzmann; Carl Henrik Ek; Raquel Urtasun; Trevor Darrell (AISTATS, 2010)

A generative model for 3D urban scene understanding from movable platforms. - Andreas Geiger 001; Martin Lauer; Raquel Urtasun (CVPR, 2011)

Distributed message passing for large scale graphical models. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (CVPR, 2011)

Supervised hierarchical Pitman-Yor process for natural scene segmentation. - Alex Shyr; Trevor Darrell; Michael I. Jordan; Raquel Urtasun (CVPR, 2011)

Data-driven animation of hand-object interactions. - Henning Hamer; Juergen Gall; Raquel Urtasun; Luc Van Gool (FG, 2011)

Physically-based motion models for 3D tracking: A convex formulation. - Mathieu Salzmann; Raquel Urtasun (ICCV, 2011)

Convex Max-Product over Compact Sets for Protein Folding. - Jian Peng 001; Tamir Hazan; David A. McAllester; Raquel Urtasun (ICML, 2011)

Joint 3D Estimation of Objects and Scene Layout. - Andreas Geiger 001; Christian Wojek; Raquel Urtasun (NIPS, 2011)

Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities. - Angela Yao; Juergen Gall; Luc Van Gool; Raquel Urtasun (NIPS, 2011)

Are we ready for autonomous driving? The KITTI vision benchmark suite. - Andreas Geiger 001; Philip Lenz; Raquel Urtasun (CVPR, 2012)

Efficient structured prediction for 3D indoor scene understanding. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (CVPR, 2012)

A constrained latent variable model. - Aydin Varol; Mathieu Salzmann; Pascal Fua; Raquel Urtasun (CVPR, 2012)

Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation. - Jian Yao; Sanja Fidler; Raquel Urtasun (CVPR, 2012)

Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction. - Mathieu Salzmann; Raquel Urtasun (ECCV (4), 2012)

Efficient Exact Inference for 3D Indoor Scene Understanding. - Alexander G. Schwing; Raquel Urtasun (ECCV (6), 2012)

Continuous Markov Random Fields for Robust Stereo Estimation. - Koichiro Yamaguchi; Tamir Hazan; David A. McAllester; Raquel Urtasun (ECCV (5), 2012)

Efficient Structured Prediction with Latent Variables for General Graphical Models. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (ICML, 2012)

3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model. - Sanja Fidler; Sven J. Dickinson; Raquel Urtasun (NIPS, 2012)

Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (NIPS, 2012)

Multi-View Learning in the Presence of View Disagreement - C. Mario Christoudias; Raquel Urtasun; Trevor Darrell (CoRR, 2012)

Efficient Learning of Structured Predictors in General Graphical Models - Tamir Hazan; Raquel Urtasun (CoRR, 2012)

A Family of MCMC Methods on Implicitly Defined Manifolds. - Marcus A. Brubaker; Mathieu Salzmann; Raquel Urtasun (AISTATS, 2012)

Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization. - Marcus A. Brubaker; Andreas Geiger 001; Raquel Urtasun (CVPR, 2013)

Bottom-Up Segmentation for Top-Down Detection. - Sanja Fidler; Roozbeh Mottaghi; Alan L. Yuille; Raquel Urtasun (CVPR, 2013)

A Sentence Is Worth a Thousand Pixels. - Sanja Fidler; Abhishek Sharma 001; Raquel Urtasun (CVPR, 2013)

Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs. - Roozbeh Mottaghi; Sanja Fidler; Jian Yao; Raquel Urtasun; Devi Parikh (CVPR, 2013)

Robust Monocular Epipolar Flow Estimation. - Koichiro Yamaguchi; David A. McAllester; Raquel Urtasun (CVPR, 2013)

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras. - Dahua Lin; Sanja Fidler; Raquel Urtasun (ICCV, 2013)

Box in the Box: Joint 3D Layout and Object Reasoning from Single Images. - Alexander G. Schwing; Sanja Fidler; Marc Pollefeys; Raquel Urtasun (ICCV, 2013)

Understanding High-Level Semantics by Modeling Traffic Patterns. - Hongyi Zhang; Andreas Geiger 001; Raquel Urtasun (ICCV, 2013)

Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors. - Jian Zhang 049; Chen Kan; Alexander G. Schwing; Raquel Urtasun (ICCV, 2013)

Latent Structured Active Learning. - Wenjie Luo 002; Alexander G. Schwing; Raquel Urtasun (NIPS, 2013)

Vision meets robotics: The KITTI dataset. - Andreas Geiger 001; Philip Lenz; Christoph Stiller; Raquel Urtasun (Int. J. Robotics Res., 2013)

A High Performance CRF Model for Clothes Parsing. - Edgar Simo-Serra; Sanja Fidler; Francesc Moreno-Noguer; Raquel Urtasun (ACCV (3), 2014)

Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. - Liang-Chieh Chen; Sanja Fidler; Raquel Urtasun (CVPR, 2014)

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts. - Xianjie Chen; Roozbeh Mottaghi; Xiaobai Liu; Sanja Fidler; Raquel Urtasun; Alan L. Yuille (CVPR, 2014)

What Are You Talking About? Text-to-Image Coreference. - Chen Kong; Dahua Lin; Mohit Bansal; Raquel Urtasun; Sanja Fidler (CVPR, 2014)

Visual Semantic Search: Retrieving Videos via Complex Textual Queries. - Dahua Lin; Sanja Fidler; Chen Kong; Raquel Urtasun (CVPR, 2014)

The Role of Context for Object Detection and Semantic Segmentation in the Wild. - Roozbeh Mottaghi; Xianjie Chen; Xiaobai Liu; Nam-Gyu Cho; Seong-Whan Lee; Sanja Fidler; Raquel Urtasun; Alan L. Yuille (CVPR, 2014)

Tell Me What You See and I Will Show You Where It Is. - Jia Xu 011; Alexander G. Schwing; Raquel Urtasun (CVPR, 2014)

Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. - Koichiro Yamaguchi; David A. McAllester; Raquel Urtasun (ECCV (5), 2014)

Transductive Gaussian processes for image denoising. - Shenlong Wang; Lei Zhang 006; Raquel Urtasun (ICCP, 2014)

Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. - Alexander G. Schwing; Tamir Hazan; Marc Pollefeys; Raquel Urtasun (ICML, 2014)

Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials. - Shenlong Wang; Alexander G. Schwing; Raquel Urtasun (NIPS, 2014)

Message Passing Inference for Large Scale Graphical Models with High Order Potentials. - Jian Zhang 049; Alexander G. Schwing; Raquel Urtasun (NIPS, 2014)

Bayesian Filtering with Online Gaussian Process Latent Variable Models. - Yali Wang; Marcus A. Brubaker; Brahim Chaib-draa; Raquel Urtasun (UAI, 2014)

Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. - Roozbeh Mottaghi; Sanja Fidler; Alan L. Yuille; Raquel Urtasun; Devi Parikh (CoRR, 2014)

3D Traffic Scene Understanding From Movable Platforms. - Andreas Geiger 001; Martin Lauer; Christian Wojek; Christoph Stiller; Raquel Urtasun (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Generating Multi-sentence Natural Language Descriptions of Indoor Scenes. - Dahua Lin; Sanja Fidler; Chen Kong; Raquel Urtasun (BMVC, 2015)

Rent3D: Floor-plan priors for monocular layout estimation. - Chenxi Liu; Alexander G. Schwing; Kaustav Kundu; Raquel Urtasun; Sanja Fidler (CVPR, 2015)

Neuroaesthetics in fashion: Modeling the perception of fashionability. - Edgar Simo-Serra; Sanja Fidler; Francesc Moreno-Noguer; Raquel Urtasun (CVPR, 2015)

Holistic 3D scene understanding from a single geo-tagged image. - Shenlong Wang; Sanja Fidler; Raquel Urtasun (CVPR, 2015)

Learning to segment under various forms of weak supervision. - Jia Xu 011; Alexander G. Schwing; Raquel Urtasun (CVPR, 2015)

Real-time coarse-to-fine topologically preserving segmentation. - Jian Yao; Marko Boben; Sanja Fidler; Raquel Urtasun (CVPR, 2015)

segDeepM: Exploiting segmentation and context in deep neural networks for object detection. - Yukun Zhu; Raquel Urtasun; Ruslan Salakhutdinov; Sanja Fidler (CVPR, 2015)

FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. - Philip Lenz; Andreas Geiger 001; Raquel Urtasun (ICCV, 2015)

Enhancing Road Maps by Parsing Aerial Images Around the World. - Gellért Máttyus; Shenlong Wang; Sanja Fidler; Raquel Urtasun (ICCV, 2015)

Lost Shopping! Monocular Localization in Large Indoor Spaces. - Shenlong Wang; Sanja Fidler; Raquel Urtasun (ICCV, 2015)

Monocular Object Instance Segmentation and Depth Ordering with CNNs. - Ziyu Zhang; Alexander G. Schwing; Sanja Fidler; Raquel Urtasun (ICCV, 2015)

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. - Yukun Zhu; Ryan Kiros; Richard S. Zemel; Ruslan Salakhutdinov; Raquel Urtasun; Antonio Torralba 001; Sanja Fidler (ICCV, 2015)

3D Object Proposals for Accurate Object Class Detection. - Xiaozhi Chen; Kaustav Kundu; Yukun Zhu; Andrew G. Berneshawi; Huimin Ma 001; Sanja Fidler; Raquel Urtasun (NIPS, 2015)

Skip-Thought Vectors. - Ryan Kiros; Yukun Zhu; Ruslan Salakhutdinov; Richard S. Zemel; Raquel Urtasun; Antonio Torralba 001; Sanja Fidler (NIPS, 2015)

Estimating Drivable Collision-Free Space from Monocular Video. - Jian Yao; Srikumar Ramalingam; Yuichi Taguchi; Yohei Miki 003; Raquel Urtasun (WACV, 2015)

Learning Deep Structured Models. - Liang-Chieh Chen; Alexander G. Schwing; Alan L. Yuille; Raquel Urtasun (ICLR (Workshop), 2015)

Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets. - Patrick Judd; Jorge Albericio; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger; Raquel Urtasun; Andreas Moshovos (CoRR, 2015)

Generating Multi-Sentence Lingual Descriptions of Indoor Scenes. - Dahua Lin; Chen Kong; Sanja Fidler; Raquel Urtasun (CoRR, 2015)

Fully Connected Deep Structured Networks. - Alexander G. Schwing; Raquel Urtasun (CoRR, 2015)

Direct Loss Minimization for Training Deep Neural Nets. - Yang Song 011; Alexander G. Schwing; Richard S. Zemel; Raquel Urtasun (CoRR, 2015)

Instance-Level Segmentation with Deep Densely Connected MRFs. - Ziyu Zhang; Sanja Fidler; Raquel Urtasun (CoRR, 2015)

Sequential Inference for Deep Gaussian Process. - Yali Wang; Marcus A. Brubaker; Brahim Chaib-draa; Raquel Urtasun (AISTATS, 2016)

Towards Affordable Self-driving Cars. - Raquel Urtasun (BMVC, 2016)

Monocular 3D Object Detection for Autonomous Driving. - Xiaozhi Chen; Kaustav Kundu; Ziyu Zhang; Huimin Ma 001; Sanja Fidler; Raquel Urtasun (CVPR, 2016)

Efficient Deep Learning for Stereo Matching. - Wenjie Luo 002; Alexander G. Schwing; Raquel Urtasun (CVPR, 2016)

HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images. - Gellért Máttyus; Shenlong Wang; Sanja Fidler; Raquel Urtasun (CVPR, 2016)

MovieQA: Understanding Stories in Movies through Question-Answering. - Makarand Tapaswi; Yukun Zhu; Rainer Stiefelhagen; Antonio Torralba 001; Raquel Urtasun; Sanja Fidler (CVPR, 2016)

Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs. - Ziyu Zhang; Sanja Fidler; Raquel Urtasun (CVPR, 2016)

Exploiting Semantic Information and Deep Matching for Optical Flow. - Min Bai; Wenjie Luo 002; Kaustav Kundu; Raquel Urtasun (ECCV (6), 2016)

HouseCraft: Building Houses from Rental Ads and Street Views. - Hang Chu; Shenlong Wang; Raquel Urtasun; Sanja Fidler (ECCV (6), 2016)

Training Deep Neural Networks via Direct Loss Minimization. - Yang Song 011; Alexander G. Schwing; Richard S. Zemel; Raquel Urtasun (ICML, 2016)

Learning Deep Parsimonious Representations. - Renjie Liao; Alexander G. Schwing; Richard S. Zemel; Raquel Urtasun (NIPS, 2016)

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. - Wenjie Luo 002; Yujia Li 001; Raquel Urtasun; Richard S. Zemel (NIPS, 2016)

Proximal Deep Structured Models. - Shenlong Wang; Sanja Fidler; Raquel Urtasun (NIPS, 2016)

Towards Generalizable Sentence Embeddings. - Eleni Triantafillou; Jamie Ryan Kiros; Raquel Urtasun; Richard S. Zemel (Rep4NLP@ACL, 2016)

Deep Semantic Matching for Optical Flow. - Min Bai; Wenjie Luo 002; Kaustav Kundu; Raquel Urtasun (CoRR, 2016)

Soccer Field Localization from a Single Image. - Namdar Homayounfar; Sanja Fidler; Raquel Urtasun (CoRR, 2016)

Order-Embeddings of Images and Language. - Ivan Vendrov; Ryan Kiros; Sanja Fidler; Raquel Urtasun (ICLR, 2016)

Efficient Summarization with Read-Again and Copy Mechanism. - Wenyuan Zeng; Wenjie Luo 002; Sanja Fidler; Raquel Urtasun (CoRR, 2016)

Blending Learning and Inference in Conditional Random Fields. - Tamir Hazan; Alexander G. Schwing; Raquel Urtasun (J. Mach. Learn. Res., 2016)

Map-Based Probabilistic Visual Self-Localization. - Marcus A. Brubaker; Andreas Geiger 001; Raquel Urtasun (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. - Roozbeh Mottaghi; Sanja Fidler; Alan L. Yuille; Raquel Urtasun; Devi Parikh (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Deep Watershed Transform for Instance Segmentation. - Min Bai; Raquel Urtasun (CVPR, 2017)

Annotating Object Instances with a Polygon-RNN. - Lluís Castrejón; Kaustav Kundu; Raquel Urtasun; Sanja Fidler (CVPR, 2017)

Sports Field Localization via Deep Structured Models. - Namdar Homayounfar; Sanja Fidler; Raquel Urtasun (CVPR, 2017)

Efficient Multiple Instance Metric Learning Using Weakly Supervised Data. - Marc T. Law; Yaoliang Yu; Raquel Urtasun; Richard S. Zemel; Eric P. Xing (CVPR, 2017)

Towards Diverse and Natural Image Descriptions via a Conditional GAN. - Bo Dai 002; Sanja Fidler; Raquel Urtasun; Dahua Lin (ICCV, 2017)

Situation Recognition with Graph Neural Networks. - Ruiyu Li; Makarand Tapaswi; Renjie Liao; Jiaya Jia; Raquel Urtasun; Sanja Fidler (ICCV, 2017)

SGN: Sequential Grouping Networks for Instance Segmentation. - Shu Liu 005; Jiaya Jia; Sanja Fidler; Raquel Urtasun (ICCV, 2017)

DeepRoadMapper: Extracting Road Topology from Aerial Images. - Gellért Máttyus; Wenjie Luo 002; Raquel Urtasun (ICCV, 2017)

3D Graph Neural Networks for RGBD Semantic Segmentation. - Xiaojuan Qi 001; Renjie Liao; Jiaya Jia; Sanja Fidler; Raquel Urtasun (ICCV, 2017)

TorontoCity: Seeing the World with a Million Eyes. - Shenlong Wang; Min Bai; Gellért Máttyus; Hang Chu; Wenjie Luo 002; Bin Yang 021; Justin Liang 001; Joel Cheverie; Sanja Fidler; Raquel Urtasun (ICCV, 2017)

Be Your Own Prada: Fashion Synthesis with Structural Coherence. - Shizhan Zhu; Sanja Fidler; Raquel Urtasun; Dahua Lin; Chen Change Loy (ICCV, 2017)

Joint Embeddings of Scene Graphs and Images. - Eugene Belilovsky; Matthew B. Blaschko; Jamie Ryan Kiros; Raquel Urtasun; Richard S. Zemel (ICLR (Workshop), 2017)

Song From PI: A Musically Plausible Network for Pop Music Generation. - Hang Chu; Raquel Urtasun; Sanja Fidler (ICLR (Workshop), 2017)

Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. - Mengye Ren; Renjie Liao; Raquel Urtasun; Fabian H. Sinz; Richard S. Zemel (ICLR (Poster), 2017)

Deep Spectral Clustering Learning. - Marc T. Law; Raquel Urtasun; Richard S. Zemel (ICML, 2017)

Find your way by observing the sun and other semantic cues. - Wei-Chiu Ma; Shenlong Wang; Marcus A. Brubaker; Sanja Fidler; Raquel Urtasun (ICRA, 2017)

The Reversible Residual Network: Backpropagation Without Storing Activations. - Aidan N. Gomez; Mengye Ren; Raquel Urtasun; Roger B. Grosse (NIPS, 2017)

Few-Shot Learning Through an Information Retrieval Lens. - Eleni Triantafillou; Richard S. Zemel; Raquel Urtasun (NIPS, 2017)

Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images. - Nina Merkle; Wenjie Luo 002; Stefan Auer; Rupert Müller; Raquel Urtasun (Remote. Sens., 2017)

Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds. - Chris Zhang 001; Wenjie Luo 002; Raquel Urtasun (3DV, 2018)

Learning to Localize Using a LiDAR Intensity Map. - Ioan Andrei Barsan; Shenlong Wang; Andrei Pokrovsky; Raquel Urtasun (CoRL, 2018)

IntentNet: Learning to Predict Intention from Raw Sensor Data. - Sergio Casas 002; Wenjie Luo 002; Raquel Urtasun (CoRL, 2018)

HDNET: Exploiting HD Maps for 3D Object Detection. - Bin Yang 021; Ming Liang; Raquel Urtasun (CoRL, 2018)

SurfConv: Bridging 3D and 2D Convolution for RGBD Images. - Hang Chu; Wei-Chiu Ma; Kaustav Kundu; Raquel Urtasun; Sanja Fidler (CVPR, 2018)

Hierarchical Recurrent Attention Networks for Structured Online Maps. - Namdar Homayounfar; Wei-Chiu Ma; Shrinidhi Kowshika Lakshmikanth; Raquel Urtasun (CVPR, 2018)

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net. - Wenjie Luo 002; Bin Yang 021; Raquel Urtasun (CVPR, 2018)

Learning Deep Structured Active Contours End-to-End. - Diego Marcos; Devis Tuia; Benjamin Kellenberger; Lisa Zhang; Min Bai; Renjie Liao; Raquel Urtasun (CVPR, 2018)

Matching Adversarial Networks. - Gellért Máttyus; Raquel Urtasun (CVPR, 2018)

GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation. - Xiaojuan Qi 001; Renjie Liao; Zhengzhe Liu; Raquel Urtasun; Jiaya Jia (CVPR, 2018)

SBNet: Sparse Blocks Network for Fast Inference. - Mengye Ren; Andrei Pokrovsky; Bin Yang 021; Raquel Urtasun (CVPR, 2018)

Deep Parametric Continuous Convolutional Neural Networks. - Shenlong Wang; Simon Suo; Wei-Chiu Ma; Andrei Pokrovsky; Raquel Urtasun (CVPR, 2018)

PIXOR: Real-Time 3D Object Detection From Point Clouds. - Bin Yang 021; Wenjie Luo 002; Raquel Urtasun (CVPR, 2018)

End-to-End Deep Structured Models for Drawing Crosswalks. - Justin Liang 001; Raquel Urtasun (ECCV (12), 2018)

Deep Continuous Fusion for Multi-sensor 3D Object Detection. - Ming Liang; Bin Yang 021; Shenlong Wang; Raquel Urtasun (ECCV (16), 2018)

Single Image Intrinsic Decomposition Without a Single Intrinsic Image. - Wei-Chiu Ma; Hang Chu; Bolei Zhou; Raquel Urtasun; Antonio Torralba 001 (ECCV (14), 2018)

Graph Partition Neural Networks for Semi-Supervised Classification. - Renjie Liao; Marc Brockschmidt; Daniel Tarlow; Alexander L. Gaunt; Raquel Urtasun; Richard S. Zemel (ICLR (Workshop), 2018)

Inference in probabilistic graphical models by Graph Neural Networks. - KiJung Yoon; Renjie Liao; Yuwen Xiong; Lisa Zhang; Ethan Fetaya; Raquel Urtasun; Richard S. Zemel; Xaq Pitkow (ICLR (Workshop), 2018)

Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. - Lisa Zhang; Gregory Rosenblatt; Ethan Fetaya; Renjie Liao; William E. Byrd; Raquel Urtasun; Richard S. Zemel (ICLR (Workshop), 2018)

Reviving and Improving Recurrent Back-Propagation. - Renjie Liao; Yuwen Xiong; Ethan Fetaya; Lisa Zhang; KiJung Yoon; Xaq Pitkow; Raquel Urtasun; Richard S. Zemel (ICML, 2018)

Learning to Reweight Examples for Robust Deep Learning. - Mengye Ren; Wenyuan Zeng; Bin Yang 021; Raquel Urtasun (ICML, 2018)

End-to-end Learning of Multi-sensor 3D Tracking by Detection. - Davi Frossard; Raquel Urtasun (ICRA, 2018)

Deep Multi-Sensor Lane Detection. - Min Bai; Gellért Máttyus; Namdar Homayounfar; Shenlong Wang; Shrinidhi Kowshika Lakshmikanth; Raquel Urtasun (IROS, 2018)

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. - Marvin Teichmann; Michael Weber 009; J. Marius Zöllner; Roberto Cipolla; Raquel Urtasun (Intelligent Vehicles Symposium, 2018)

Neural Guided Constraint Logic Programming for Program Synthesis. - Lisa Zhang; Gregory Rosenblatt; Ethan Fetaya; Renjie Liao; William E. Byrd; Matthew Might; Raquel Urtasun; Richard S. Zemel (NeurIPS, 2018)

3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection. - Xiaozhi Chen; Kaustav Kundu; Yukun Zhu; Huimin Ma 001; Sanja Fidler; Raquel Urtasun (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Proteus: Exploiting precision variability in deep neural networks. - Patrick Judd; Jorge Albericio; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger; Raquel Urtasun; Andreas Moshovos (Parallel Comput., 2018)

Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. - Ajay Jain; Sergio Casas 002; Renjie Liao; Yuwen Xiong; Song Feng; Sean Segal; Raquel Urtasun (CoRL, 2019)

Identifying Unknown Instances for Autonomous Driving. - Kelvin Wong; Shenlong Wang; Mengye Ren; Ming Liang; Raquel Urtasun (CoRL, 2019)

DARNet: Deep Active Ray Network for Building Segmentation. - Dominic Cheng; Renjie Liao; Sanja Fidler; Raquel Urtasun (CVPR, 2019)

Convolutional Recurrent Network for Road Boundary Extraction. - Justin Liang 001; Namdar Homayounfar; Wei-Chiu Ma; Shenlong Wang; Raquel Urtasun (CVPR, 2019)

Multi-Task Multi-Sensor Fusion for 3D Object Detection. - Ming Liang; Bin Yang 021; Yun Chen 014; Rui Hu 001; Raquel Urtasun (CVPR, 2019)

Deep Rigid Instance Scene Flow. - Wei-Chiu Ma; Shenlong Wang; Rui Hu 001; Yuwen Xiong; Raquel Urtasun (CVPR, 2019)

Learning to Localize Through Compressed Binary Maps. - Xinkai Wei; Ioan Andrei Barsan; Shenlong Wang; Julieta Martinez 001; Raquel Urtasun (CVPR, 2019)

UPSNet: A Unified Panoptic Segmentation Network. - Yuwen Xiong; Renjie Liao; Hengshuang Zhao; Rui Hu 001; Min Bai; Ersin Yumer; Raquel Urtasun (CVPR, 2019)

End-To-End Interpretable Neural Motion Planner. - Wenyuan Zeng; Wenjie Luo 002; Simon Suo; Abbas Sadat; Bin Yang 021; Sergio Casas 002; Raquel Urtasun (CVPR, 2019)

Learning Joint 2D-3D Representations for Depth Completion. - Yun Chen 014; Bin Yang 021; Ming Liang; Raquel Urtasun (ICCV, 2019)

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. - Shivam Duggal; Shenlong Wang; Wei-Chiu Ma; Rui Hu 001; Raquel Urtasun (ICCV, 2019)

DAGMapper: Learning to Map by Discovering Lane Topology. - Namdar Homayounfar; Justin Liang 001; Wei-Chiu Ma; Jack Fan; Xinyu Wu; Raquel Urtasun (ICCV, 2019)

DSIC: Deep Stereo Image Compression. - Jerry Liu; Shenlong Wang; Raquel Urtasun (ICCV, 2019)

DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. - Xiaohui Zeng; Renjie Liao; Li Gu; Yuwen Xiong; Sanja Fidler; Raquel Urtasun (ICCV, 2019)

Dimensionality Reduction for Representing the Knowledge of Probabilistic Models. - Marc T. Law; Jake Snell; Amir-massoud Farahmand; Raquel Urtasun; Richard S. Zemel (ICLR (Poster), 2019)

LanczosNet: Multi-Scale Deep Graph Convolutional Networks. - Renjie Liao; Zhizhen Zhao 001; Raquel Urtasun; Richard S. Zemel (ICLR (Poster), 2019)

Graph HyperNetworks for Neural Architecture Search. - Chris Zhang 001; Mengye Ren; Raquel Urtasun (ICLR (Poster), 2019)

DeepSignals: Predicting Intent of Drivers Through Visual Signals. - Davi Frossard; Eric Kee; Raquel Urtasun (ICRA, 2019)

Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. - Wei-Chiu Ma; Raquel Urtasun; Ignacio Tartavull; Ioan Andrei Bârsan; Shenlong Wang; Min Bai; Gellért Máttyus; Namdar Homayounfar; Shrinidhi Kowshika Lakshmikanth; Andrei Pokrovsky (IROS, 2019)

Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. - Abbas Sadat; Mengye Ren; Andrei Pokrovsky; Yen-Chen Lin; Ersin Yumer; Raquel Urtasun (IROS, 2019)

Efficient Graph Generation with Graph Recurrent Attention Networks. - Renjie Liao; Yujia Li 001; Yang Song 011; Shenlong Wang; William L. Hamilton; David Duvenaud; Raquel Urtasun; Richard S. Zemel (NeurIPS, 2019)

Deformable Filter Convolution for Point Cloud Reasoning. - Yuwen Xiong; Mengye Ren; Renjie Liao; Kelvin Wong; Raquel Urtasun (CoRR, 2019)

Efficient Graph Generation with Graph Recurrent Attention Networks. - Renjie Liao; Yujia Li 001; Yang Song 011; Shenlong Wang; Charlie Nash; William L. Hamilton; David Duvenaud; Raquel Urtasun; Richard S. Zemel (CoRR, 2019)

Learning to Remember from a Multi-Task Teacher. - Yuwen Xiong; Mengye Ren; Raquel Urtasun (CoRR, 2019)

Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. - Sergio Casas 002; Cole Gulino; Renjie Liao; Raquel Urtasun (CoRR, 2019)

StrObe: Streaming Object Detection from LiDAR Packets. - Davi Frossard; Shun Da Suo; Sergio Casas 002; James Tu; Raquel Urtasun (CoRL, 2020)

Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. - Sean Segal; Eric Kee; Wenjie Luo 002; Abbas Sadat; Ersin Yumer; Raquel Urtasun (CoRL, 2020)

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. - Meet Shah 001; Zhiling Huang; Ankit Laddha; Matthew Langford; Blake Barber; Sida Zhang; Carlos Vallespi-Gonzalez; Raquel Urtasun (CoRL, 2020)

Learning to Communicate and Correct Pose Errors. - Nicholas Vadivelu; Mengye Ren; James Tu; Jingkang Wang; Raquel Urtasun (CoRL, 2020)

Recovering and Simulating Pedestrians in the Wild. - Ze Yang 003; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wei-Chiu Ma; Raquel Urtasun (CoRL, 2020)

OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. - Lila Huang; Shenlong Wang; Kelvin Wong; Jerry Liu; Raquel Urtasun (CVPR, 2020)

PolyTransform: Deep Polygon Transformer for Instance Segmentation. - Justin Liang 001; Namdar Homayounfar; Wei-Chiu Ma; Yuwen Xiong; Rui Hu 001; Raquel Urtasun (CVPR, 2020)

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. - Ming Liang; Bin Yang 021; Wenyuan Zeng; Yun Chen 014; Rui Hu 001; Sergio Casas 002; Raquel Urtasun (CVPR, 2020)

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. - Sivabalan Manivasagam; Shenlong Wang; Kelvin Wong; Wenyuan Zeng; Mikita Sazanovich; Shuhan Tan; Bin Yang 021; Wei-Chiu Ma; Raquel Urtasun (CVPR, 2020)

Physically Realizable Adversarial Examples for LiDAR Object Detection. - James Tu; Mengye Ren; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Richard Du; Frank Cheng; Raquel Urtasun (CVPR, 2020)

Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. - Sergio Casas 002; Cole Gulino; Simon Suo; Katie Luo; Renjie Liao; Raquel Urtasun (ECCV (23), 2020)

Weakly-Supervised 3D Shape Completion in the Wild. - Jiayuan Gu; Wei-Chiu Ma; Sivabalan Manivasagam; Wenyuan Zeng; Zihao Wang; Yuwen Xiong; Hao Su 001; Raquel Urtasun (ECCV (5), 2020)

LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. - Namdar Homayounfar; Yuwen Xiong; Justin Liang 001; Wei-Chiu Ma; Raquel Urtasun (ECCV (23), 2020)

Learning Lane Graph Representations for Motion Forecasting. - Ming Liang; Bin Yang 021; Rui Hu 001; Yun Chen 014; Renjie Liao; Song Feng; Raquel Urtasun (ECCV (2), 2020)

Conditional Entropy Coding for Efficient Video Compression. - Jerry Liu; Shenlong Wang; Wei-Chiu Ma; Meet Shah 001; Rui Hu 001; Pranaab Dhawan; Raquel Urtasun (ECCV (17), 2020)

Deep Feedback Inverse Problem Solver. - Wei-Chiu Ma; Shenlong Wang; Jiayuan Gu; Sivabalan Manivasagam; Antonio Torralba 001; Raquel Urtasun (ECCV (5), 2020)

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. - Abbas Sadat; Sergio Casas 002; Mengye Ren; Xinyu Wu; Pranaab Dhawan; Raquel Urtasun (ECCV (23), 2020)

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. - Tsun-Hsuan Wang; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wenyuan Zeng; Raquel Urtasun (ECCV (2), 2020)

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. - Kelvin Wong; Qiang Zhang; Ming Liang; Bin Yang 021; Renjie Liao; Abbas Sadat; Raquel Urtasun (ECCV (26), 2020)

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. - Bin Yang 021; Runsheng Guo 003; Ming Liang; Sergio Casas 002; Raquel Urtasun (ECCV (18), 2020)

Dense RepPoints: Representing Visual Objects with Dense Point Sets. - Ze Yang 003; Yinghao Xu 001; Han Xue; Zheng Zhang 022; Raquel Urtasun; Liwei Wang 001; Stephen Lin 001; Han Hu 001 (ECCV (21), 2020)

DSDNet: Deep Structured Self-driving Network. - Wenyuan Zeng; Shenlong Wang; Renjie Liao; Yun Chen 014; Bin Yang 021; Raquel Urtasun (ECCV (21), 2020)

Hierarchical Verification for Adversarial Robustness. - Cong Han Lim; Raquel Urtasun; Ersin Yumer (ICML, 2020)

Multi-Agent Routing Value Iteration Network. - Quinlan Sykora; Mengye Ren; Raquel Urtasun (ICML, 2020)

SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. - Sergio Casas 002; Cole Gulino; Renjie Liao; Raquel Urtasun (ICRA, 2020)

The Importance of Prior Knowledge in Precise Multimodal Prediction. - Sergio Casas 002; Cole Gulino; Simon Suo; Raquel Urtasun (IROS, 2020)

End-to-end Contextual Perception and Prediction with Interaction Transformer. - Lingyun Luke Li; Bin Yang 021; Ming Liang; Wenyuan Zeng; Mengye Ren; Sean Segal; Raquel Urtasun (IROS, 2020)

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. - Julieta Martinez 001; Sasha Doubov; Jack Fan; Ioan Andrei Bârsan; Shenlong Wang; Gellért Máttyus; Raquel Urtasun (IROS, 2020)

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models. - Sourav Biswas 001; Jerry Liu; Kelvin Wong; Shenlong Wang; Raquel Urtasun (NeurIPS, 2020)

LoCo: Local Contrastive Representation Learning. - Yuwen Xiong; Mengye Ren; Raquel Urtasun (NeurIPS, 2020)

Physically Realizable Adversarial Examples for LiDAR Object Detection. - James Tu; Mengye Ren; Siva Manivasagam; Ming Liang; Bin Yang 021; Richard Du; Frank Cheng; Raquel Urtasun (CoRR, 2020)

ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds. - Kibok Lee 003; Zhuoyuan Chen; Xinchen Yan; Raquel Urtasun; Ersin Yumer (CoRR, 2020)

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. - Tsun-Hsuan Wang; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wenyuan Zeng; James Tu; Raquel Urtasun (CoRR, 2020)

LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. - Meet Shah 001; Zhiling Huang; Ankit Laddha; Matthew Langford; Blake Barber; Sidney Zhang; Carlos Vallespi-Gonzalez; Raquel Urtasun (CoRR, 2020)

StrObe: Streaming Object Detection from LiDAR Packets. - Davi Frossard; Simon Suo; Sergio Casas 002; James Tu; Rui Hu 001; Raquel Urtasun (CoRR, 2020)

Recovering and Simulating Pedestrians in the Wild. - Ze Yang 003; Siva Manivasagam; Ming Liang; Bin Yang 021; Wei-Chiu Ma; Raquel Urtasun (CoRR, 2020)

Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRL, 2021)

Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. - James Tu; Huichen Li; Xinchen Yan; Mengye Ren; Yun Chen 014; Ming Liang; Eilyan Bitar; Ersin Yumer; Raquel Urtasun (CoRL, 2021)

MP3: A Unified Model To Map, Perceive, Predict and Plan. - Sergio Casas 002; Abbas Sadat; Raquel Urtasun (CVPR, 2021)

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CVPR, 2021)

Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. - Julieta Martinez 001; Jashan Shewakramani; Ting-Wei Liu; Ioan Andrei Barsan; Wenyuan Zeng; Raquel Urtasun (CVPR, 2021)

Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. - John Phillips; Julieta Martinez 001; Ioan Andrei Barsan; Sergio Casas 002; Abbas Sadat; Raquel Urtasun (CVPR, 2021)

TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors. - Simon Suo; Sebastian Regalado; Sergio Casas 002; Raquel Urtasun (CVPR, 2021)

SceneGen: Learning To Generate Realistic Traffic Scenes. - Shuhan Tan; Kelvin Wong; Shenlong Wang; Sivabalan Manivasagam; Mengye Ren; Raquel Urtasun (CVPR, 2021)

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. - Jingkang Wang; Ava Pun; James Tu; Sivabalan Manivasagam; Abbas Sadat; Sergio Casas 002; Mengye Ren; Raquel Urtasun (CVPR, 2021)

S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. - Ze Yang 003; Shenlong Wang; Sivabalan Manivasagam; Zeng Huang; Wei-Chiu Ma; Xinchen Yan; Ersin Yumer; Raquel Urtasun (CVPR, 2021)

LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. - Alexander Cui; Sergio Casas 002; Abbas Sadat; Renjie Liao; Raquel Urtasun (ICCV, 2021)

Adversarial Attacks On Multi-Agent Communication. - James Tu; Tsun-Hsuan Wang; Jingkang Wang; Sivabalan Manivasagam; Mengye Ren; Raquel Urtasun (ICCV, 2021)

Self-Supervised Representation Learning from Flow Equivariance. - Yuwen Xiong; Mengye Ren; Wenyuan Zeng; Raquel Urtasun Waabi (ICCV, 2021)

A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks. - Renjie Liao; Raquel Urtasun; Richard S. Zemel (ICLR, 2021)

Deep Structured Reactive Planning. - Jerry Liu; Wenyuan Zeng; Raquel Urtasun; Ersin Yumer (ICRA, 2021)

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. - Bob Wei; Mengye Ren; Wenyuan Zeng; Ming Liang; Bin Yang 021; Raquel Urtasun (ICRA, 2021)

Asynchronous Multi-View SLAM. - Anqi Joyce Yang; Can Cui; Ioan Andrei Bârsan; Raquel Urtasun; Shenlong Wang (ICRA, 2021)

Safety-Oriented Pedestrian Occupancy Forecasting. - Katie Luo; Sergio Casas 002; Renjie Liao; Xinchen Yan; Yuwen Xiong; Wenyuan Zeng; Raquel Urtasun (IROS, 2021)

Diverse Complexity Measures for Dataset Curation in Self-Driving. - Abbas Sadat; Sean Segal; Sergio Casas 002; James Tu; Bin Yang 021; Raquel Urtasun; Ersin Yumer (IROS, 2021)

PLUMENet: Efficient 3D Object Detection from Stereo Images. - Yan Wang 051; Bin Yang 021; Rui Hu 001; Ming Liang; Raquel Urtasun (IROS, 2021)

LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. - Wenyuan Zeng; Ming Liang; Renjie Liao; Raquel Urtasun (IROS, 2021)

NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation. - Xiaohui Zeng; Raquel Urtasun; Richard S. Zemel; Sanja Fidler; Renjie Liao (UAI, 2021)

Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting. - Katie Luo; Sergio Casas 002; Renjie Liao; Xinchen Yan; Yuwen Xiong; Wenyuan Zeng; Raquel Urtasun (CoRR, 2021)

GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition. - Yun Chen 014; Frieda Rong; Shivam Duggal; Shenlong Wang; Xinchen Yan; Sivabalan Manivasagam; Shangjie Xue; Ersin Yumer; Raquel Urtasun (CoRR, 2021)

VideoClick: Video Object Segmentation with a Single Click. - Namdar Homayounfar; Justin Liang 001; Wei-Chiu Ma; Raquel Urtasun (CoRR, 2021)

Auto4D: Learning to Label 4D Objects from Sequential Point Clouds. - Bin Yang 021; Min Bai; Ming Liang; Wenyuan Zeng; Raquel Urtasun (CoRR, 2021)

Cost-Efficient Online Hyperparameter Optimization. - Jingkang Wang; Mengye Ren; Ilija Bogunovic; Yuwen Xiong; Raquel Urtasun (CoRR, 2021)

PLUME: Efficient 3D Object Detection from Stereo Images. - Yan Wang 051; Bin Yang 021; Rui Hu 001; Ming Liang; Raquel Urtasun (CoRR, 2021)

Network Automatic Pruning: Start NAP and Take a Nap. - Wenyuan Zeng; Yuwen Xiong; Raquel Urtasun (CoRR, 2021)

Secrets of 3D Implicit Object Shape Reconstruction in the Wild. - Shivam Duggal; Zihao Wang; Wei-Chiu Ma; Sivabalan Manivasagam; Justin Liang 001; Shenlong Wang; Raquel Urtasun (CoRR, 2021)

Non-parametric Memory for Spatio-Temporal Segmentation of Construction Zones for Self-Driving. - Min Bai; Shenlong Wang; Kelvin Wong; Ersin Yumer; Raquel Urtasun (CoRR, 2021)

Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes. - Sean Segal; Nishanth Kumar; Sergio Casas 002; Wenyuan Zeng; Mengye Ren; Jingkang Wang; Raquel Urtasun (CoRR, 2021)

NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation. - Xiaohui Zeng; Raquel Urtasun; Richard S. Zemel; Sanja Fidler; Renjie Liao (CoRR, 2021)

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. - Jingkang Wang; Sivabalan Manivasagam; Yun Chen 014; Ze Yang 003; Ioan Andrei Barsan; Anqi Joyce Yang; Wei-Chiu Ma; Raquel Urtasun (CoRL, 2022)

Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. - Wei-Chiu Ma; Anqi Joyce Yang; Shenlong Wang; Raquel Urtasun; Antonio Torralba 001 (CVPR, 2022)

Rethinking Closed-Loop Training for Autonomous Driving. - Chris Zhang 001; Runsheng Guo 003; Wenyuan Zeng; Yuwen Xiong; Binbin Dai; Rui Hu 001; Mengye Ren; Raquel Urtasun (ECCV (39), 2022)

Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild. - Shivam Duggal; Zihao Wang; Wei-Chiu Ma; Sivabalan Manivasagam; Justin Liang 001; Shenlong Wang; Raquel Urtasun (WACV, 2022)

GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation. - Xiaojuan Qi 001; Zhengzhe Liu; Renjie Liao; Philip H. S. Torr; Raquel Urtasun; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

4D-Former: Multimodal 4D Panoptic Segmentation. - Ali Athar; Enxu Li; Sergio Casas 002; Raquel Urtasun (CoRL, 2023)

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. - Jay Sarva; Jingkang Wang; James Tu; Yuwen Xiong; Sivabalan Manivasagam; Raquel Urtasun (CoRL, 2023)

Towards Scalable Coverage-Based Testing of Autonomous Vehicles. - James Tu; Simon Suo; Chris Zhang 001; Kelvin Wong; Raquel Urtasun (CoRL, 2023)

LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. - Anqi Joyce Yang; Sergio Casas 002; Nikita Dvornik; Sean Segal; Yuwen Xiong; Jordan Sir Kwang Hu; Carter Fang; Raquel Urtasun (CoRL, 2023)

Learning Realistic Traffic Agents in Closed-loop. - Chris Zhang 001; James Tu; Lunjun Zhang; Kelvin Wong; Simon Suo; Raquel Urtasun (CoRL, 2023)

UniSim: A Neural Closed-Loop Sensor Simulator. - Ze Yang 003; Yun Chen 014; Jingkang Wang; Sivabalan Manivasagam; Wei-Chiu Ma; Anqi Joyce Yang; Raquel Urtasun (CVPR, 2023)

Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. - Ben Agro; Quinlan Sykora; Sergio Casas 002; Raquel Urtasun (CVPR, 2023)

MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation. - Simon Suo; Kelvin Wong; Justin Xu; James Tu; Alexander Cui; Sergio Casas 002; Raquel Urtasun (CVPR, 2023)

Learning Compact Representations for LiDAR Completion and Generation. - Yuwen Xiong; Wei-Chiu Ma; Jingkang Wang; Raquel Urtasun (CVPR, 2023)

Towards Unsupervised Object Detection from LiDAR Point Clouds. - Lunjun Zhang; Anqi Joyce Yang; Yuwen Xiong; Sergio Casas 002; Bin Yang 021; Mengye Ren; Raquel Urtasun (CVPR, 2023)

MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. - Enxu Li; Sergio Casas 002; Raquel Urtasun (ICCV, 2023)

Real-Time Neural Rasterization for Large Scenes. - Jeffrey Yunfan Liu; Yun Chen 014; Ze Yang 003; Jingkang Wang; Sivabalan Manivasagam; Raquel Urtasun (ICCV, 2023)

Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. - Sivabalan Manivasagam; Ioan Andrei Bârsan; Jingkang Wang; Ze Yang 003; Raquel Urtasun (ICCV, 2023)

GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. - Alexander Cui; Sergio Casas 002; Kelvin Wong; Simon Suo; Raquel Urtasun (ICRA, 2023)

Reconstructing Objects in-the-wild for Realistic Sensor Simulation. - Ze Yang 003; Sivabalan Manivasagam; Yun Chen 014; Jingkang Wang; Rui Hu 001; Raquel Urtasun (ICRA, 2023)

Neural Lighting Simulation for Urban Scenes. - Ava Pun; Gary Sun; Jingkang Wang; Yun Chen 014; Ze Yang 003; Sivabalan Manivasagam; Wei-Chiu Ma; Raquel Urtasun (NeurIPS, 2023)

Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. - Lunjun Zhang; Yuwen Xiong; Ze Yang 003; Sergio Casas 002; Rui Hu 001; Raquel Urtasun (CoRR, 2023)

UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation. - Yuwen Xiong; Wei-Chiu Ma; Jingkang Wang; Raquel Urtasun (CoRR, 2023)

LightSim: Neural Lighting Simulation for Urban Scenes. - Ava Pun; Gary Sun; Jingkang Wang; Yun Chen 014; Ze Yang 003; Sivabalan Manivasagam; Wei-Chiu Ma; Raquel Urtasun (CoRR, 2023)

UnO: Unsupervised Occupancy Fields for Perception and Forecasting. - Ben Agro; Quinlan Sykora; Sergio Casas 002; Thomas Gilles; Raquel Urtasun (CVPR, 2024)

DeTra: A Unified Model for Object Detection and Trajectory Forecasting. - Sergio Casas 002; Ben Agro; Jiageng Mao; Thomas Gilles; Alexander Cui; Thomas Li; Raquel Urtasun (ECCV (88), 2024)

G3R: Gradient Guided Generalizable Reconstruction. - Yun Chen 014; Jingkang Wang; Ze Yang 003; Sivabalan Manivasagam; Raquel Urtasun (ECCV (6), 2024)

UniCal: Unified Neural Sensor Calibration. - Ze Yang 003; George Chen; Haowei Zhang; Kevin Ta; Ioan Andrei Bârsan; Daniel Murphy; Sivabalan Manivasagam; Raquel Urtasun (ECCV (36), 2024)

Learning to Drive via Asymmetric Self-Play. - Chris Zhang 001; Sourav Biswas 001; Kelvin Wong; Kion Fallah; Lunjun Zhang; Dian Chen; Sergio Casas 002; Raquel Urtasun (ECCV (62), 2024)

Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. - Lunjun Zhang; Yuwen Xiong; Ze Yang 003; Sergio Casas 002; Rui Hu 001; Raquel Urtasun (ICLR, 2024)

QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. - Sourav Biswas 001; Sergio Casas 002; Quinlan Sykora; Ben Agro; Abbas Sadat; Raquel Urtasun (ICRA, 2024)

SceneControl: Diffusion for Controllable Traffic Scene Generation. - Jack Lu; Kelvin Wong; Chris Zhang 001; Simon Suo; Raquel Urtasun (ICRA, 2024)

GenAssets: Generating in-the-wild 3D Assets in Latent Space. - Ze Yang 003; Jingkang Wang; Haowei Zhang; Sivabalan Manivasagam; Yun Chen 014; Raquel Urtasun (CVPR, 2025)

MAD: Memory-Augmented Detection of 3D Objects. - Ben Agro; Sergio Casas 002; Patrick Wang; Thomas Gilles; Raquel Urtasun (CVPR, 2025)

DIO: Decomposable Implicit 4D Occupancy-Flow World Model. - Christopher Diehl; Quinlan Sykora; Ben Agro; Thomas Gilles; Sergio Casas 002; Raquel Urtasun (CVPR, 2025)

SaLF: Sparse Local Fields for Multi-Sensor Rendering in Real-Time. - Yun Chen 014; Matthew Haines; Jingkang Wang; Krzysztof Baron-Lis; Sivabalan Manivasagam; Ze Yang 003; Raquel Urtasun (CoRR, 2025)