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End-to-end Learning of Compressible Features

Jul 23, 2020
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici

* Accepted at ICIP 2020 

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High-Fidelity Generative Image Compression

Jul 10, 2020
Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson

* Project page: https://hific.github.io 

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Joint Autoregressive and Hierarchical Priors for Learned Image Compression

Sep 08, 2018
David Minnen, Johannes Ballé, George Toderici

* Accepted at the 32nd Conference on Neural Information Processing Systems (NIPS 2018) 

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Towards a Semantic Perceptual Image Metric

Aug 01, 2018
Troy Chinen, Johannes Ballé, Chunhui Gu, Sung Jin Hwang, Sergey Ioffe, Nick Johnston, Thomas Leung, David Minnen, Sean O'Malley, Charles Rosenberg, George Toderici


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Image-Dependent Local Entropy Models for Learned Image Compression

May 31, 2018
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell

* International Conference on Image Processing 2018 

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AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions

Apr 30, 2018
Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik

* To appear in CVPR 2018. Check dataset page https://research.google.com/ava/ for details 

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Spatially adaptive image compression using a tiled deep network

Feb 07, 2018
David Minnen, George Toderici, Michele Covell, Troy Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh

* International Conference on Image Processing 2017 

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Full Resolution Image Compression with Recurrent Neural Networks

Jul 07, 2017
George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell

* Updated with content for CVPR and removed supplemental material to an external link for size limitations 

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Target-Quality Image Compression with Recurrent, Convolutional Neural Networks

May 18, 2017
Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici


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Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks

Mar 29, 2017
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy Chinen, Sung Jin Hwang, Joel Shor, George Toderici


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YouTube-8M: A Large-Scale Video Classification Benchmark

Sep 27, 2016
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, Sudheendra Vijayanarasimhan

* 10 pages 

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Variable Rate Image Compression with Recurrent Neural Networks

Mar 01, 2016
George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar

* Under review as a conference paper at ICLR 2016 

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Pose Embeddings: A Deep Architecture for Learning to Match Human Poses

Jul 01, 2015
Greg Mori, Caroline Pantofaru, Nisarg Kothari, Thomas Leung, George Toderici, Alexander Toshev, Weilong Yang


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Efficient Large Scale Video Classification

May 22, 2015
Balakrishnan Varadarajan, George Toderici, Sudheendra Vijayanarasimhan, Apostol Natsev


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Beyond Short Snippets: Deep Networks for Video Classification

Apr 13, 2015
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici


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