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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Oct 22, 2020
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby

* Fine-tuning code and pre-trained models are available at https://github.com/google-research/vision_transformer 

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On Robustness and Transferability of Convolutional Neural Networks

Jul 16, 2020
Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvan Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic


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Are we done with ImageNet?

Jun 12, 2020
Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord

* All five authors contributed equally. New labels at https://github.com/google-research/reassessed-imagenet 

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Large Scale Learning of General Visual Representations for Transfer

Dec 24, 2019
Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby


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The Visual Task Adaptation Benchmark

Oct 01, 2019
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, Andre Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby


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S$^\mathbf{4}$L: Self-Supervised Semi-Supervised Learning

May 09, 2019
Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov, Lucas Beyer

* All four authors contributed equally 

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Revisiting Self-Supervised Visual Representation Learning

Jan 25, 2019
Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer

* All three authors contributed equally. Code is available at https://github.com/google/revisiting-self-supervised 

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Detecting Visual Relationships Using Box Attention

Jul 05, 2018
Alexander Kolesnikov, Christoph H. Lampert, Vittorio Ferrari


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PixelCNN Models with Auxiliary Variables for Natural Image Modeling

Jul 01, 2017
Alexander Kolesnikov, Christoph H. Lampert

* ICML 2017 

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Probabilistic Image Colorization

May 11, 2017
Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert


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iCaRL: Incremental Classifier and Representation Learning

Apr 14, 2017
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert

* Accepted paper at CVPR 2017 

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Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation

Aug 06, 2016
Alexander Kolesnikov, Christoph H. Lampert

* ECCV 2016 

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Improving Weakly-Supervised Object Localization By Micro-Annotation

May 18, 2016
Alexander Kolesnikov, Christoph H. Lampert


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Identifying Reliable Annotations for Large Scale Image Segmentation

Apr 28, 2015
Alexander Kolesnikov, Christoph H. Lampert


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Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation

Mar 27, 2014
Alexander Kolesnikov, Matthieu Guillaumin, Vittorio Ferrari, Christoph H. Lampert


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