Martin Humenberger
Martin Humenberger
Naver Labs Europe
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A fast stereo matching algorithm suitable for embedded real-time systems
M Humenberger, C Zinner, M Weber, W Kubinger, M Vincze
Computer Vision and Image Understanding 114 (11), 1180-1202, 2010
R2D2: repeatable and reliable detector and descriptor
J Revaud, P Weinzaepfel, C De Souza, N Pion, G Csurka, Y Cabon, ...
arXiv preprint arXiv:1906.06195, 2019
A census-based stereo vision algorithm using modified semi-global matching and plane fitting to improve matching quality
M Humenberger, T Engelke, W Kubinger
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Virtual kitti 2
Y Cabon, N Murray, M Humenberger
arXiv preprint arXiv:2001.10773, 2020
An optimized software-based implementation of a census-based stereo matching algorithm
C Zinner, M Humenberger, K Ambrosch, W Kubinger
International Symposium on Visual Computing, 216-227, 2008
R2d2: Reliable and repeatable detector and descriptor
J Revaud, C De Souza, M Humenberger, P Weinzaepfel
Advances in neural information processing systems 32, 2019
Towards autonomous navigation of miniature uav
R Brockers, M Humenberger, S Weiss, L Matthies
Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE …, 2014
SAD-based stereo matching using FPGAs
K Ambrosch, M Humenberger, W Kubinger, A Steininger
Embedded Computer Vision, 121-138, 2009
Vision-based Landing Site Evaluation and Trajectory Generation Toward Rooftop Landing
V Desaraju, N Michael, M Humenberger, R Brockers, S Weiss, L Matthies
Proceedings of Robotics: Science and Systems, 2014
Event-based stereo matching approaches for frameless address event stereo data
J Kogler, M Humenberger, C Sulzbachner
International Symposium on Visual Computing, 674-685, 2011
Hardware implementation of an SAD based stereo vision algorithm
K Ambrosch, W Kubinger, M Humenberger, A Steininger
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007
How good is my test data? Introducing safety analysis for computer vision
O Zendel, M Murschitz, M Humenberger, W Herzner
International Journal of Computer Vision 125 (1), 95-109, 2017
CARE: A dynamic stereo vision sensor system for fall detection
AN Belbachir, M Litzenberger, S Schraml, M Hofstätter, D Bauer, P Schön, ...
2012 IEEE international symposium on circuits and systems (ISCAS), 731-734, 2012
Cv-hazop: Introducing test data validation for computer vision
O Zendel, M Murschitz, M Humenberger, W Herzner
Proceedings of the IEEE International Conference on Computer Vision, 2066-2074, 2015
Embedded fall detection with a neural network and bio-inspired stereo vision
M Humenberger, S Schraml, C Sulzbachner, AN Belbachir, A Srp, F Vajda
2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012
From handcrafted to deep local invariant features
G Csurka, M Humenberger
arXiv preprint arXiv:1807.10254 2, 1, 2018
A very fast census-based stereo matching implementation on a graphics processing unit
M Weber, M Humenberger, W Kubinger
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
Guided matching based on statistical optical flow for fast and robust correspondence analysis
J Maier, M Humenberger, M Murschitz, O Zendel, M Vincze
European Conference on Computer Vision, 101-117, 2016
Visual localization by learning objects-of-interest dense match regression
P Weinzaepfel, G Csurka, Y Cabon, M Humenberger
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Analyzing computer vision data-the good, the bad and the ugly
O Zendel, K Honauer, M Murschitz, M Humenberger, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
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