Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Georg Poier"'
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
WACV
Data labeling for learning 3D hand pose estimation models is a huge effort. Readily available, accurately labeled synthetic data has the potential to reduce the effort. However, to successfully exploit synthetic data, current state-of-the-art methods
Autor:
Christian Breiteneder, Georg Poier, Horst Bischof, Christian Reinbacher, Markus Seidl, Matthias Zeppelzauer, Samuel Schulter
Publikováno v:
TU Graz
Petroglyphs (rock engravings) have been pecked and engraved by humans into natural rock surfaces thousands of years ago and are among the oldest artifacts that document early human life and culture. Some of these rock engravings have survived until t
Autor:
Horst Bischof, Matthias Zeppelzauer, Martin Schaich, Christian Reinbacher, Giovanna Bellandi, Alberto Marretta, Markus Seidl, Georg Poier
Publikováno v:
Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing.
The development of powerful 3D scanning hardware and reconstruction algorithms has strongly promoted the generation of 3D surface reconstructions in different domains. An area of special interest for such 3D reconstructions is the cultural heritage d
Autor:
Christian Breiteneder, Samuel Schulter, Horst Bischof, Christian Reinbacher, Matthias Zeppelzauer, Georg Poier, Markus Seidl
Publikováno v:
Digital Heritage
Autor:
Domenico Prattichizzo, Pashalis Padeleris, Antonis A. Argyros, Antonello Giannitrapani, Stefano Scheggi, Federico Moro, Georg Poier, Andrea Garulli, Luca Rizzon, Tizar Rizano, Payam Nazemzadeh, David Macii, Axel Legay, Roberto Passerone, Luigi Palopoli, Alessio Colombo, Sean Sedwards, Josef Alois Birchbauer, Daniele Fontanelli
The Devices for Assisted Living(DALi ) project is a research initiative sponsored by the European Commission under the FP7 programmeaiming for the development of a robotic device to assist people with cognitive impairments in navigating complex envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::234dd01091778ab4574ba7b9892930b8
http://hdl.handle.net/11572/118448
http://hdl.handle.net/11572/118448
Autor:
Josef Alois Birchbauer, Peter Schallauer, Samuel Schulter, Rene Schuster, Peter M. Roth, Georg Poier, Horst Bischof, Martin Winter
Publikováno v:
AVSS
Summary form only given. We introduce to the surveillance community the VIRAT Video Dataset[1], which is a new large-scale surveillance video dataset designed to assess the performance of event recognition algorithms in realistic scenes1.
Publikováno v:
TU Graz
Lecture Notes in Computer Science ISBN: 9783319117515
GCPR
Lecture Notes in Computer Science ISBN: 9783319117515
GCPR
Tracking multiple objects in parallel is a difficult task, especially if instances are interacting and occluding each other. To alleviate the arising problems multiple camera views can be taken into account, which, however, increases the computationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c7d7081b2fbe533cf1065bf29e860a9
https://graz.pure.elsevier.com/en/publications/hough-forests-revisited-an-approach-to-multiple-instance-tracking-from-multiple-cameras(238ada9b-98f0-4085-9f84-5e387aa43f7c).html
https://graz.pure.elsevier.com/en/publications/hough-forests-revisited-an-approach-to-multiple-instance-tracking-from-multiple-cameras(238ada9b-98f0-4085-9f84-5e387aa43f7c).html
Publikováno v:
TU Graz
Computer Vision – ECCV 2016 ISBN: 9783319464862
ECCV (3)
Computer Vision – ECCV 2016 ISBN: 9783319464862
ECCV (3)
Detection of partially occluded objects is a challenging computer vision problem. Standard Convolutional Neural Network (CNN) detectors fail if parts of the detection window are occluded, since not every sub-part of the window is discriminative on it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42a44fa3cfc5ae14f92c0658110e6076
https://graz.pure.elsevier.com/en/publications/grid-loss-detecting-occluded-faces(8b85131b-34ac-4fd3-9aac-d3a132a5c399).html
https://graz.pure.elsevier.com/en/publications/grid-loss-detecting-occluded-faces(8b85131b-34ac-4fd3-9aac-d3a132a5c399).html
Publikováno v:
TU Graz
CVPR
CVPR
The labeled data required to learn pose estimation for articulated objects is difficult to provide in the desired quantity, realism, density, and accuracy. To address this issue, we develop a method to learn representations, which are very specific f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6544ae204a92cfcd1ddc9d0ccad7bec
https://graz.pure.elsevier.com/en/publications/learning-pose-specific-representations-by-predicting-different-views(57c03cfa-8a2e-461c-a4e8-37b048014c5b).html
https://graz.pure.elsevier.com/en/publications/learning-pose-specific-representations-by-predicting-different-views(57c03cfa-8a2e-461c-a4e8-37b048014c5b).html