Lucas Beyer
Lucas Beyer
Google Brain, RWTH Aachen
Verified email at google.com - Homepage
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
21962020
In Defense of the Triplet Loss for Person Re-Identification
A Hermans*, L Beyer*, B Leibe, *equal contribution
arXiv preprint arXiv:1703.07737, 2017
20202017
Revisiting Self-Supervised Visual Representation Learning
A Kolesnikov*, X Zhai*, L Beyer*, *equal contribution
CVPR 2019, 2019
4252019
Big Transfer (BiT): General Visual Representation Learning
A Kolesnikov*, L Beyer*, X Zhai*, J Puigcerver, J Yung, S Gelly, ...
ECCV 2020, 2019
387*2019
SL: Self-Supervised Semi-Supervised Learning
X Zhai*, A Oliver*, A Kolesnikov*, L Beyer*, *equal contribution
ICCV 2019, 2019
378*2019
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
229*2015
MLP-Mixer: An all-MLP architecture for vision
I Tolstikhin*, N Houlsby*, A Kolesnikov*, L Beyer*, X Zhai, T Unterthiner, ...
NeurIPS 2021, 2021
1622021
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
1552017
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
A Kolesnikov, A Dosovitskiy, D Weissenborn, G Heigold, J Uszkoreit, ...
1052021
An image is worth 16x16 words: Transformers for image recognition at scale. arXiv 2020
A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ...
arXiv preprint arXiv:2010.11929, 0
86
Scaling Vision Transformers
X Zhai*, A Kolesnikov*, N Houlsby, L Beyer*, *equal contribution
arXiv preprint arXiv:2106.04560, 2021
832021
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
82*2019
Are we done with ImageNet?
L Beyer*, OJ Hénaff*, A Kolesnikov*, X Zhai*, A Oord*, *equal contribution
arXiv preprint arXiv:2006.07159, 2020
702020
Biternion Nets: Continuous Head Pose Regression from Discrete Training Labels
L Beyer, A Hermans, B Leibe
German Conference on Pattern Recognition, 157-168, 2015
452015
The Atari Grand Challenge Dataset
V Kurin, S Nowozin, K Hofmann, L Beyer, B Leibe
arXiv preprint arXiv:1705.10998, 2017
412017
On Robustness and Transferability of Convolutional Neural Networks
J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ...
CVPR 2021, 2020
332020
DROW: Real-Time Deep Learning-Based Wheelchair Detection in 2-D Range Data
L Beyer*, A Hermans*, B Leibe, *equal contribution
IEEE Robotics and Automation Letters 2 (2), 585-592, 2017
312017
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
A Steiner*, A Kolesnikov*, X Zhai*, R Wightman, J Uszkoreit, L Beyer*, ...
arXiv preprint arXiv:2106.10270, 2021
242021
Towards a Principled Integration of Multi-Camera Re-Identification and Tracking Through Optimal Bayes Filters
L Beyer*, S Breuers*, V Kurin, B Leibe, *equal contribution
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
232017
Deep Person Detection in Two-Dimensional Range Data
L Beyer, A Hermans, T Linder, KO Arras, B Leibe
IEEE Robotics and Automation Letters 3 (3), 2726-2733, 2018
15*2018
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Articles 1–20