Lucas Beyer
Lucas Beyer
Google Brain, RWTH Aachen
Verified email at - Homepage
TitleCited byYear
In Defense of the Triplet Loss for Person Re-Identification
A Hermans, L Beyer, B Leibe
arXiv preprint arXiv:1703.07737, 2017
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 2015á…, 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
Biternion Nets: Continuous Head Pose Regression from Discrete Training Labels
L Beyer, A Hermans, B Leibe
German Conference on Pattern Recognition, 157-168, 2015
Revisiting Self-Supervised Visual Representation Learning
A Kolesnikov, X Zhai, L Beyer
arXiv preprint arXiv:1901.09005, 2019
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
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
Proceedings of the IEEE Conference on Computer Vision and Patterná…, 2017
SL: Self-Supervised Semi-Supervised Learning
X Zhai, A Oliver, A Kolesnikov, L Beyer
arXiv preprint arXiv:1905.03670, 2019
Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline
S Breuers, L Beyer, U Rafi, B Leibel
2018 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2018
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
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
Deep multi-class learning from label proportions
G Dulac-Arnold, N Zeghidour, M Cuturi, L Beyer, JP Vert
arXiv preprint arXiv:1905.12909, 2019
GWAS on GPUs: streaming data from HDD for sustained performance
L Beyer, P Bientinesi
European Conference on Parallel Processing, 788-799, 2013
Streaming Data from HDD to GPUs for Sustained Peak Performance
L Beyer, P Bientinesi
arXiv preprint arXiv:1302.4332, 2013
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