Lucas Beyer
Lucas Beyer
Google Brain, RWTH Aachen
Verified email at - Homepage
Cited by
Cited by
In Defense of the Triplet Loss for Person Re-Identification
A Hermans*, L Beyer*, B Leibe, *equal contribution
arXiv preprint arXiv:1703.07737, 2017
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
Revisiting Self-Supervised Visual Representation Learning
A Kolesnikov*, X Zhai*, L Beyer*, *equal contribution
CVPR 2019, 2019
SL: Self-Supervised Semi-Supervised Learning
X Zhai*, A Oliver*, A Kolesnikov*, L Beyer*, *equal contribution
ICCV 2019, 2019
Big Transfer (BiT): General Visual Representation Learning
A Kolesnikov*, L Beyer*, X Zhai*, J Puigcerver, J Yung, S Gelly, ...
ECCV 2020, 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
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
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
MLP-Mixer: An all-MLP architecture for vision
I Tolstikhin*, N Houlsby*, A Kolesnikov*, L Beyer*, X Zhai, T Unterthiner, ...
arXiv preprint arXiv:2105.01601, 2021
Are we done with ImageNet?
L Beyer*, OJ Hénaff*, A Kolesnikov*, X Zhai*, A Oord*, *equal contribution
arXiv preprint arXiv:2006.07159, 2020
Biternion Nets: Continuous Head Pose Regression from Discrete Training Labels
L Beyer, A Hermans, B Leibe
German Conference on Pattern Recognition, 157-168, 2015
The Atari Grand Challenge Dataset
V Kurin, S Nowozin, K Hofmann, L Beyer, B Leibe
arXiv preprint arXiv:1705.10998, 2017
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
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
On Robustness and Transferability of Convolutional Neural Networks
J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ...
CVPR 2021, 2020
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
Scaling Vision Transformers
X Zhai, A Kolesnikov, N Houlsby, L Beyer
arXiv preprint arXiv:2106.04560, 2021
Deep multi-class learning from label proportions
G Dulac-Arnold, N Zeghidour, M Cuturi, L Beyer, JP Vert
arXiv preprint arXiv:1905.12909, 2019
MULEX: Disentangling Exploitation from Exploration in Deep RL
L Beyer, D Vincent, O Teboul, S Gelly, M Geist, O Pietquin
arXiv preprint arXiv:1907.00868, 2019
Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline
S Breuers*, L Beyer*, U Rafi, B Leibe, *equal contribution
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
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