Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Zoltan-Csaba Marton"'
Autor:
Ingo Kossyk, Zoltan-Csaba Marton
Publikováno v:
Journal of Visual Communication and Image Representation. 61:121-129
We present an approach on training classifiers or regressors using the latent embedding of variational auto-encoders (VAE), an unsupervised deep learning method, as features. Usually VAEs are trained using unlabeled data and independently from the cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c12fa42ed07f91cdc6c838be11efd69
https://doi.org/10.1016/j.jvcir.2019.03.008
https://doi.org/10.1016/j.jvcir.2019.03.008
We propose a real-time RGB-based pipeline for object detection and 6D pose estimation. Our novel 3D orientation estimation is based on a variant of the Denoising Autoencoder that is trained on simulated views of a 3D model using Domain Randomization.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83afcae83b7cf06761b7cda722c64d01
https://elib.dlr.de/135549/
https://elib.dlr.de/135549/
Autor:
Stefan Büttner, Peter Lehner, Mallikarjuna Vayugundla, Armin Wedler, Josef Reill, Oliver Porges, Tim Bodenmüller, Kristin Bussmann, Martin J. Schuster, Christoph Brand, Sebastian Riedel, Michael Kaßecker, Heiko Hirschmüller, Christian Nissler, Werner Friedl, Matthias Hellerer, Hannah Lehner, Michael Suppa, Bernhard Vodermayer, Zoltan-Csaba Marton, Andreas Dömel, Felix Ruess, Iris Grixa, Sebastian G. Brunner
Publikováno v:
Journal of Intelligent & Robotic Systems. 93:461-494
Planetary exploration poses many challenges for a robot system: From weight and size constraints to extraterrestrial environment conditions, which constrain the suitable sensors and actuators. As the distance to other planets introduces a significant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81176791144a99113efdb68cd10735de
https://doi.org/10.1007/s10846-017-0680-9
https://doi.org/10.1007/s10846-017-0680-9
Autor:
Simon Kriegel, Serkan Türker, Sebastian Riedel, Christian Rink, Manuel Brucker, Tim Bodenmüller, Zoltan-Csaba Marton
Publikováno v:
Autonomous Robots. 42:423-442
This article describes a probabilistic approach for improving the accuracy of general object pose estimation algorithms. We propose a histogram filter variant that uses the exploration capabilities of robots, and supports active perception through a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96cf5ea486c686b12767bac8032287b4
https://doi.org/10.1007/s10514-017-9633-1
https://doi.org/10.1007/s10514-017-9633-1
Publikováno v:
Applications of Mobile Robots
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f8cf2cdc1189b4ad9cb9d2f5a74409c
http://www.intechopen.com/articles/show/title/intelligent-robotic-perception-systems
http://www.intechopen.com/articles/show/title/intelligent-robotic-perception-systems
Autor:
Markus Nowak, Jörg Vogel, Claudio Castellini, Zoltan-Csaba Marton, Stefan Büttner, Mathilde Connan, Ingo Kossyk, Christian Nissler
Publikováno v:
Journal of neural engineering. 16(2)
Objective Currently, there are some 95 000 people in Europe suffering from upper-limb impairment. Rehabilitation should be undertaken right after the impairment occurs and should be regularly performed thereafter. Moreover, the rehabilitation process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a05d847fccbd7a5df3497b92362b0d95
https://pubmed.ncbi.nlm.nih.gov/30864550
https://pubmed.ncbi.nlm.nih.gov/30864550
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012304
ECCV (6)
ECCV (6)
We propose a real-time RGB-based pipeline for object detection and 6D pose estimation. Our novel 3D orientation estimation is based on a variant of the Denoising Autoencoder that is trained on simulated views of a 3D model using Domain Randomization.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c42a72c543b6472507aad337944908db
http://arxiv.org/abs/1902.01275
http://arxiv.org/abs/1902.01275
Autor:
En Yen Puang, Maximilian Durner, Rudolph Triebel, Zoltan-Csaba Marton, Peter Lehner, Alin Albu-Schaffer
Publikováno v:
ICRA
One of the main challenges in sampling-based motion planners is to find an efficient sampling strategy. While methods such as Rapidly-exploring Random Tree (RRT) have shown to be more reliable in complex environments than optimization-based methods,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a45850f7052a364ace03aa6ce3d8083
https://elib.dlr.de/128182/
https://elib.dlr.de/128182/
Publikováno v:
Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications ISBN: 9783030208042
CompIMAGE
CompIMAGE
In robotic applications, highly specific objects such as industrial parts, for example, often need to be recognized. In these cases methods can’t rely on the online availability of large labeled training data sets or pre-trained models. This is esp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5426b11fc71bf9a9afb9583231dccce8
https://doi.org/10.1007/978-3-030-20805-9_13
https://doi.org/10.1007/978-3-030-20805-9_13
Autor:
Zoltan-Csaba Marton, Narunas Vaskevicius, Martin Sundermeyer, En Yen Puang, Maximilian Durner, Rudolph Triebel, Kai O. Arras
Publikováno v:
CVPR
We introduce a scalable approach for object pose estimation trained on simulated RGB views of multiple 3D models together. We learn an encoding of object views that does not only describe an implicit orientation of all objects seen during training, b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9fc504c110a16827e1d2ea523cf141d