Zobrazeno 1 - 10
of 23
pro vyhledávání: '"René Schuster"'
Publikováno v:
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods.
Publikováno v:
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods.
Autor:
Christian Witte, René Schuster, Syed Bukhari, Patrick Trampert, Didier Stricker, Georg Schneider
Publikováno v:
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods.
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031155581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6a34366042a2d7d6f4a363111e8a0c3
https://doi.org/10.1007/978-3-031-15559-8_55
https://doi.org/10.1007/978-3-031-15559-8_55
Autor:
Marco Nemetz, Sandra Pfiel, Reinhard Altenburger, Florian Tiefenbacher, Matej Hopp, René Schuster, Michael Reiner
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031155581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::719e6c180b051d45a09cc5f4c7c4cfff
https://doi.org/10.1007/978-3-031-15559-8_54
https://doi.org/10.1007/978-3-031-15559-8_54
Autor:
Marco Nemetz, Sandra Pfiel, Reinhard Altenburger, Florian Tiefenbacher, Matej Hopp, René Schuster, Michael Reiner
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031155581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a90b8ab67123626ec354b28f5eb584b0
https://doi.org/10.1007/978-3-031-15559-8_57
https://doi.org/10.1007/978-3-031-15559-8_57
Publikováno v:
CSCS
Despite the remarkable progress of deep learning in stereo matching, there exists a gap in accuracy between real-time models and slower state-of-the-art models which are suitable for practical applications. This paper presents an iterative multi-scal
Publikováno v:
CSCS
Contrary to the ongoing trend in automotive applications towards usage of more diverse and more sensors, this work tries to solve the complex scene flow problem under a monocular camera setup, i.e. using a single sensor. Towards this end, we exploit
Publikováno v:
IROS
Scene flow is the dense 3D reconstruction of motion and geometry of a scene. Most state-of-the-art methods use a pair of stereo images as input for full scene reconstruction. These methods depend a lot on the quality of the RGB images and perform poo
Publikováno v:
ICPR
In-the-wild human pose estimation has a huge potential for various fields, ranging from animation and action recognition to intention recognition and prediction for autonomous driving. The current state-of-the-art is focused only on RGB and RGB-D app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9d142be5ce4e77edc364b43644bde2b
http://arxiv.org/abs/2010.08221
http://arxiv.org/abs/2010.08221