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Raquel Urtasun - Science and Engineering for Self-driving
Raquel Urtasun
Author Information
Raquel Urtasun (University of Toronto)
More from the Same Authors
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2023 Poster: Neural Lighting Simulation for Urban Scenes »
Ava Pun · Gary Sun · Jingkang Wang · Yun Chen · Ze Yang · Sivabalan Manivasagam · Wei-Chiu Ma · Raquel Urtasun -
2019 : Carl Doersch, Raquel Urtasun, Sanja Fidler moderated by Natalia Neverova »
Raquel Urtasun · Sanja Fidler · Natalia Neverova · Ilija Radosavovic · Carl Doersch -
2018 Poster: Neural Guided Constraint Logic Programming for Program Synthesis »
Lisa Zhang · Gregory Rosenblatt · Ethan Fetaya · Renjie Liao · William Byrd · Matthew Might · Raquel Urtasun · Richard Zemel -
2017 : Machine Learning for Self-Driving Cars, Raquel Urtasun, Uber ATG and University of Toronto »
Raquel Urtasun -
2017 : Raquel Urtasun: Deep Learning for Self-Driving Cars »
Raquel Urtasun -
2017 Poster: The Reversible Residual Network: Backpropagation Without Storing Activations »
Aidan Gomez · Mengye Ren · Raquel Urtasun · Roger Grosse -
2017 Poster: Few-Shot Learning Through an Information Retrieval Lens »
Eleni Triantafillou · Richard Zemel · Raquel Urtasun -
2016 : Raquel Urtasun »
Raquel Urtasun -
2016 : Invited Talk - TorontoCity Benchmark: Towards Building Large Scale 3D Models of the World »
Raquel Urtasun -
2016 : Invited Talk: Towards Affordable Self-driving Cars (Raquel Urtasun, University of Toronto) »
Raquel Urtasun -
2016 Poster: Proximal Deep Structured Models »
Shenlong Wang · Sanja Fidler · Raquel Urtasun -
2016 Poster: Understanding the Effective Receptive Field in Deep Convolutional Neural Networks »
Wenjie Luo · Yujia Li · Raquel Urtasun · Richard Zemel -
2016 Poster: Learning Deep Parsimonious Representations »
Renjie Liao · Alex Schwing · Richard Zemel · Raquel Urtasun -
2015 Poster: Skip-Thought Vectors »
Jamie Kiros · Yukun Zhu · Russ Salakhutdinov · Richard Zemel · Raquel Urtasun · Antonio Torralba · Sanja Fidler -
2015 Poster: 3D Object Proposals for Accurate Object Class Detection »
Xiaozhi Chen · Kaustav Kundu · Yukun Zhu · Andrew G Berneshawi · Huimin Ma · Sanja Fidler · Raquel Urtasun -
2014 Poster: Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials »
Shenlong Wang · Alex Schwing · Raquel Urtasun -
2014 Poster: Message Passing Inference for Large Scale Graphical Models with High Order Potentials »
Jian Zhang · Alex Schwing · Raquel Urtasun -
2013 Poster: Latent Structured Active Learning »
Wenjie Luo · Alex Schwing · Raquel Urtasun -
2012 Poster: 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model »
Sanja Fidler · Sven Dickinson · Raquel Urtasun -
2012 Poster: Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins »
Alex Schwing · Tamir Hazan · Marc Pollefeys · Raquel Urtasun -
2012 Spotlight: 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model »
Sanja Fidler · Sven Dickinson · Raquel Urtasun -
2012 Session: Oral Session 1 »
Raquel Urtasun -
2011 Session: Spotlight Session 5 »
Raquel Urtasun -
2011 Session: Oral Session 6 »
Raquel Urtasun -
2011 Poster: Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities »
Angela Yao · Juergen Gall · Luc V Gool · Raquel Urtasun -
2011 Poster: Joint 3D Estimation of Objects and Scene Layout »
Andreas Geiger · Christian Wojek · Raquel Urtasun -
2010 Poster: Sparse Coding for Learning Interpretable Spatio-Temporal Primitives »
Taehwan Kim · Greg Shakhnarovich · Raquel Urtasun -
2010 Session: Spotlights Session 6 »
Raquel Urtasun -
2010 Session: Oral Session 7 »
Raquel Urtasun -
2010 Poster: Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation »
Mathieu Salzmann · Raquel Urtasun -
2010 Poster: A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction »
Tamir Hazan · Raquel Urtasun