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Perceiver IO: A General Architecture for Structured Inputs & Outputs


Aug 02, 2021
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

* Code: https://dpmd.ai/perceiver-code 

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Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs


Jun 26, 2021
Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas Adler


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CrossTransformers: spatially-aware few-shot transfer


Jul 23, 2020
Carl Doersch, Ankush Gupta, Andrew Zisserman


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Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning


Jun 13, 2020
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko


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Sim2real transfer learning for 3D pose estimation: motion to the rescue


Jul 04, 2019
Carl Doersch, Andrew Zisserman


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Data-Efficient Image Recognition with Contrastive Predictive Coding


May 22, 2019
Olivier J. Hénaff, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aaron van den Oord


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Structured agents for physical construction


May 13, 2019
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick

* ICML 2019 

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Exploiting temporal context for 3D human pose estimation in the wild


May 10, 2019
Anurag Arnab, Carl Doersch, Andrew Zisserman

* CVPR 2019 

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Video Action Transformer Network


Dec 06, 2018
Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman


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The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR


Sep 11, 2018
Mateusz Malinowski, Carl Doersch

* Presented at ECCV'18 Workshop on Shortcomings in Vision and Language 

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Learning Visual Question Answering by Bootstrapping Hard Attention


Aug 01, 2018
Mateusz Malinowski, Carl Doersch, Adam Santoro, Peter Battaglia

* ECCV 2018 

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A Better Baseline for AVA


Jul 26, 2018
Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman

* ActivityNet Workshop (AVA Challenge), CVPR 2018 

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Kickstarting Deep Reinforcement Learning


Mar 10, 2018
Simon Schmitt, Jonathan J. Hudson, Augustin Zidek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Kuttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami


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Multi-task Self-Supervised Visual Learning


Aug 25, 2017
Carl Doersch, Andrew Zisserman

* Published at ICCV 2017 

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Data-dependent Initializations of Convolutional Neural Networks


Sep 22, 2016
Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell

* ICLR 2016 

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Tutorial on Variational Autoencoders


Aug 13, 2016
Carl Doersch


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An Uncertain Future: Forecasting from Static Images using Variational Autoencoders


Jun 25, 2016
Jacob Walker, Carl Doersch, Abhinav Gupta, Martial Hebert


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Unsupervised Visual Representation Learning by Context Prediction


Jan 16, 2016
Carl Doersch, Abhinav Gupta, Alexei A. Efros

* Oral paper at ICCV 2015 

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Mid-level Elements for Object Detection


Apr 27, 2015
Aayush Bansal, Abhinav Shrivastava, Carl Doersch, Abhinav Gupta


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