More from the Same Authors

• 2021 : Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs »
  Dan Rosenbaum · Marta Garnelo · Michal Zielinski · Charles Beattie · Ellen Clancy · Andrea Huber · Pushmeet Kohli · Andrew Senior · John Jumper · Carl Doersch · S. M. Ali Eslami · Olaf Ronneberger · Jonas Adler
• 2022 Poster: TAP-Vid: A Benchmark for Tracking Any Point in a Video »
  Carl Doersch · Ankush Gupta · Larisa Markeeva · Adria Recasens · Lucas Smaira · Yusuf Aytar · Joao Carreira · Andrew Zisserman · Yi Yang
• 2021 : Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs »
  Dan Rosenbaum · Marta Garnelo · Michal Zielinski · Charles Beattie · Ellen Clancy · Andrea Huber · Pushmeet Kohli · Andrew Senior · John Jumper · Carl Doersch · S. M. Ali Eslami · Olaf Ronneberger · Jonas Adler
• 2021 Poster: Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis »
  Tianchang Shen · Jun Gao · Kangxue Yin · Ming-Yu Liu · Sanja Fidler
• 2021 Poster: Scalable Neural Data Server: A Data Recommender for Transfer Learning »
  Tianshi Cao · Sasha (Alexandre) Doubov · David Acuna · Sanja Fidler
• 2021 Poster: DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer »
  Wenzheng Chen · Joey Litalien · Jun Gao · Zian Wang · Clement Fuji Tsang · Sameh Khamis · Or Litany · Sanja Fidler
• 2021 Poster: EditGAN: High-Precision Semantic Image Editing »
  Huan Ling · Karsten Kreis · Daiqing Li · Seung Wook Kim · Antonio Torralba · Sanja Fidler
• 2021 Poster: ATISS: Autoregressive Transformers for Indoor Scene Synthesis »
  Despoina Paschalidou · Amlan Kar · Maria Shugrina · Karsten Kreis · Andreas Geiger · Sanja Fidler
• 2021 Poster: XCiT: Cross-Covariance Image Transformers »
  Alaaeldin Ali · Hugo Touvron · Mathilde Caron · Piotr Bojanowski · Matthijs Douze · Armand Joulin · Ivan Laptev · Natalia Neverova · Gabriel Synnaeve · Jakob Verbeek · Herve Jegou
• 2021 Poster: Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence »
  Tianshi Cao · Alex Bie · Arash Vahdat · Sanja Fidler · Karsten Kreis
• 2021 Poster: Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation »
  David Acuna · Jonah Philion · Sanja Fidler
• 2020 : Sanja Fidler »
  Sanja Fidler
• 2020 Poster: Variational Amodal Object Completion »
  Huan Ling · David Acuna · Karsten Kreis · Seung Wook Kim · Sanja Fidler
• 2020 Poster: Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning »
  Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko
• 2020 Poster: CrossTransformers: spatially-aware few-shot transfer »
  Carl Doersch · Ankush Gupta · Andrew Zisserman
• 2020 Oral: Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning »
  Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko
• 2020 Poster: Learning Deformable Tetrahedral Meshes for 3D Reconstruction »
  Jun Gao · Wenzheng Chen · Tommy Xiang · Alec Jacobson · Morgan McGuire · Sanja Fidler
• 2020 Poster: Continuous Surface Embeddings »
  Natalia Neverova · David Novotny · Marc Szafraniec · Vasil Khalidov · Patrick Labatut · Andrea Vedaldi
• 2020 Session: Orals & Spotlights Track 07: Vision Applications »
  Ce Liu · Natalia Neverova
• 2019 : Sanja Fidler - TBA »
  Sanja Fidler
• 2019 : Raquel Urtasun - Science and Engineering for Self-driving »
  Raquel Urtasun
• 2019 : Carl Doersch - On Self-Supervised Learning for Vision »
  Carl Doersch
• 2019 : Panel »
  Sanja Fidler · Josh Tenenbaum · Tatiana López-Guevara · Danilo Jimenez Rezende · Niloy Mitra
• 2019 : Sanja Fidler »
  Sanja Fidler
• 2019 Poster: Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer »
  Wenzheng Chen · Huan Ling · Jun Gao · Edward Smith · Jaakko Lehtinen · Alec Jacobson · Sanja Fidler
• 2019 Poster: Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels »
  Natalia Neverova · David Novotny · Andrea Vedaldi
• 2019 Poster: Sim2real transfer learning for 3D human pose estimation: motion to the rescue »
  Carl Doersch · Andrew Zisserman
• 2019 Demonstration: Toronto Annotation Suite »
  Amlan Kar · Sanja Fidler · Jun Gao · Seung Wook Kim · Huan Ling
• 2018 Poster: A Neural Compositional Paradigm for Image Captioning »
  Bo Dai · Sanja Fidler · Dahua Lin
• 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 : Panel Discussion »
  Felix Hill · Olivier Pietquin · Jack Gallant · Raymond Mooney · Sanja Fidler · Chen Yu · Devi Parikh
• 2017 : Raquel Urtasun: Deep Learning for Self-Driving Cars »
  Raquel Urtasun
• 2017 : Connecting high-level semantics with low-level vision »
  Sanja Fidler
• 2017 Poster: Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples »
  Moustapha Cisse · Yossi Adi · Natalia Neverova · Joseph Keshet
• 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
• 2017 Poster: Teaching Machines to Describe Images with Natural Language Feedback »
  Huan Ling · Sanja Fidler
• 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: Mid-level Visual Element Discovery as Discriminative Mode Seeking »
  Carl Doersch · Abhinav Gupta · Alexei A Efros
• 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
• 2009 Poster: Evaluating multi-class learning strategies in a generative hierarchical framework for object detection »
  Sanja Fidler · Marko Boben · Ales Leonardis