More from the Same Authors

• 2019 : Carl Doersch, Raquel Urtasun, Sanja Fidler moderated by Natalia Neverova »
  Raquel Urtasun · Sanja Fidler · Natalia Neverova · Ilija Radosavovic · Carl Doersch
• 2019 : Raquel Urtasun - Science and Engineering for Self-driving »
  Raquel Urtasun
• 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 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