Lucas Beyer

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Xiaohua ZhaiResearch Scientist, Google DeepmindVerified email at google.com
Alexander KolesnikovResearch Scientist, Google DeepmindVerified email at google.com
Alexey DosovitskiyInceptiveVerified email at inceptive.team
Neil HoulsbyGoogleVerified email at google.com
Bastian LeibeProfessor for Computer Vision, RWTH Aachen UniversityVerified email at vision.rwth-aachen.de
Andreas Peter SteinerSoftware engineer, Google ResearchVerified email at google.com
Sylvain GellyGoogle Brain ZurichVerified email at m4x.org
Alexander HermansRWTH Aachen UniversityVerified email at vision.rwth-aachen.de
Joan PuigcerverGoogle BrainVerified email at google.com
Basil MustafaGoogle DeepmindVerified email at google.com
André Susano PintoGoogle DeepMindVerified email at google.com
Timm LinderResearch Scientist Robot Perception, Bosch ResearchVerified email at timmlinder.de
Filip PaveticGoogleVerified email at google.com
Avital OliverOpenAIVerified email at aoliver.org
Rudolph TriebelGerman Aerospace Center (DLR) and Karlsruhe Institute of Technology (KIT)Verified email at kit.edu
Vitaly KurinResearch Scientist at Isomorphic LabsVerified email at isomorphiclabs.com
Matthieu GeistCohere (ex Google, on leave of Professor, Université de Lorraine)Verified email at univ-lorraine.fr
Olivier PietquinCohere | ex Google DeepMind (On leave - Professor at University of Lille)Verified email at univ-lille.fr
Paolo BientinesiUmeå UniversityVerified email at cs.umu.se
Nick HawesOxford Robotics Institute, University of OxfordVerified email at robots.ox.ac.uk

Lucas Beyer

Other namesgiffmana kotol, luck.duck

Google DeepMind, Google Brain, RWTH Aachen

Verified email at google.com - Homepage

Representation Learning Good Shit Computer Vision Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai*, ... ICLR 2020, 2020	44885	2020
In Defense of the Triplet Loss for Person Re-Identification A Hermans, L Beyer, B Leibe, *equal contribution arXiv preprint arXiv:1703.07737, 2017	3876	2017
MLP-Mixer: An all-MLP architecture for vision I Tolstikhin, N Houlsby, A Kolesnikov, L Beyer, X Zhai, T Unterthiner, ... NeurIPS 2021, 2021	2631	2021
Big Transfer (BiT): General Visual Representation Learning A Kolesnikov, L Beyer, X Zhai*, J Puigcerver, J Yung, S Gelly, ... ECCV 2020, 2019	1405	2019
Scaling Vision Transformers X Zhai, A Kolesnikov, N Houlsby, L Beyer, equal contribution CVPR 2022, 2021	1081	2021
SL: Self-Supervised Semi-Supervised Learning X Zhai, A Oliver, A Kolesnikov, L Beyer, *equal contribution ICCV 2019, 2019	1042*	2019
Revisiting Self-Supervised Visual Representation Learning A Kolesnikov, X Zhai, L Beyer, equal contribution CVPR 2019, 2019	871	2019
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers A Steiner, A Kolesnikov, X Zhai, R Wightman, J Uszkoreit, L Beyer, ... TMLR, 2021	618	2021
Pali: A jointly-scaled multilingual language-image model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ... ICLR 2023, 2022	535	2022
LiT: Zero-Shot Transfer with Locked-image Text Tuning X Zhai+, X Wang, B Mustafa, A Steiner, D Keysers, A Kolesnikov, ... CVPR 2022, 2021	498	2021
A large-scale study of representation learning with the visual task adaptation benchmark X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ... arXiv preprint arXiv:1910.04867, 2019	395*	2019
Scaling vision transformers to 22 billion parameters M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ... International Conference on Machine Learning, 7480-7512, 2023	389	2023
Are we done with ImageNet? L Beyer, OJ Hénaff, A Kolesnikov, X Zhai, A Oord, equal contribution arXiv preprint arXiv:2006.07159, 2020	385	2020
SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports L Palmieri, U Rafi, M van Rooij, B Okal, M Magnusson, T Linder, M Lohse, ... Proceedings of the 10th Conference on Field and Service Robotics, FSR 2015 …, 2015	317*	2015
Knowledge distillation: A good teacher is patient and consistent L Beyer, X Zhai, A Royer, L Markeeva, R Anil, A Kolesnikov*, ... CVPR 2022, 2021	288	2021
Sigmoid loss for language image pre-training X Zhai, B Mustafa, A Kolesnikov, L Beyer Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	264	2023
The STRANDS project: Long-term autonomy in everyday environments N Hawes, C Burbridge, F Jovan, L Kunze, B Lacerda, L Mudrova, J Young, ... IEEE Robotics & Automation Magazine 24 (3), 146-156, 2017	260	2017
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation W Chen, X Du, F Yang, L Beyer, X Zhai, TY Lin, H Chen, J Li, X Song, ... ECCV 2022, 711-727, 2022	219*	2022
Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... CVPR 2022, 3749-3761, 2022	166	2022
On Robustness and Transferability of Convolutional Neural Networks J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ... CVPR 2021, 2020	148	2020

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