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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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MULEX: Disentangling Exploitation from Exploration in Deep RL


Jul 01, 2019
Lucas Beyer, Damien Vincent, Olivier Teboul, Sylvain Gelly, Matthieu Geist, Olivier Pietquin


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Deep multi-class learning from label proportions


May 30, 2019
Gabriel Dulac-Arnold, Neil Zeghidour, Marco Cuturi, Lucas Beyer, Jean-Philippe Vert


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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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Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline


Jul 28, 2018
Stefan Breuers, Lucas Beyer, Umer Rafi, Bastian Leibe

* Code available at: https://github.com/sbreuers/detta 

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Deep Person Detection in 2D Range Data


Apr 06, 2018
Lucas Beyer, Alexander Hermans, Timm Linder, Kai O. Arras, Bastian Leibe


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In Defense of the Triplet Loss for Person Re-Identification


Nov 21, 2017
Alexander Hermans, Lucas Beyer, Bastian Leibe

* Lucas Beyer and Alexander Hermans contributed equally. Updates: Minor fixes, new SOTA comparisons, add CUHK03 results 

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The Atari Grand Challenge Dataset


May 31, 2017
Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe


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Towards a Principled Integration of Multi-Camera Re-Identification and Tracking through Optimal Bayes Filters


May 16, 2017
Lucas Beyer, Stefan Breuers, Vitaly Kurin, Bastian Leibe

* First two authors have equal contribution. This is initial work into a new direction, not a benchmark-beating method. v2 only adds acknowledgements and fixes a typo in e-mail 

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DROW: Real-Time Deep Learning based Wheelchair Detection in 2D Range Data


Dec 05, 2016
Lucas Beyer, Alexander Hermans, Bastian Leibe

* Lucas Beyer and Alexander Hermans contributed equally 

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The STRANDS Project: Long-Term Autonomy in Everyday Environments


Oct 14, 2016
Nick Hawes, Chris Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Fäulhammer, Michael Zillich, Markus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomas Krajník, João M. Santos, Tom Duckett, Marc Hanheide


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