Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Markuš, Nenad"'
Autor:
Markuš, Nenad, Sužnjević, Mirko
Recently there has been renewed interest in signed distance bound representations due to their unique properties for 3D shape modelling. This is especially the case for deep learning-based bounds. However, it is beneficial to work with polygons in mo
Externí odkaz:
http://arxiv.org/abs/2111.05778
Autor:
Markuš, Nenad1 (AUTHOR) nenad.markus@fer.hr, Sužnjević, Mirko1 (AUTHOR) nenad.markus@fer.hr
Publikováno v:
Algorithms. Apr2024, Vol. 17 Issue 4, p137. 13p.
Ren et al. recently introduced a method for aggregating multiple decision trees into a strong predictor by interpreting a path taken by a sample down each tree as a binary vector and performing linear regression on top of these vectors stacked togeth
Externí odkaz:
http://arxiv.org/abs/1702.08481
Current best local descriptors are learned on a large dataset of matching and non-matching keypoint pairs. However, data of this kind is not always available since detailed keypoint correspondences can be hard to establish. On the other hand, we can
Externí odkaz:
http://arxiv.org/abs/1603.09095
Binary descriptors of image patches provide processing speed advantages and require less storage than methods that encode the patch appearance with a vector of real numbers. We provide evidence that, despite its simplicity, a stochastic hill climbing
Externí odkaz:
http://arxiv.org/abs/1501.04782
Publikováno v:
Proceedings of the Croatian Compter Vision Workshop, 2014
Localization of salient facial landmark points, such as eye corners or the tip of the nose, is still considered a challenging computer vision problem despite recent efforts. This is especially evident in unconstrained environments, i.e., in the prese
Externí odkaz:
http://arxiv.org/abs/1403.6888
We describe a method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors. The trees use pixel intensity comparisons in their internal nodes and this makes them able to process image regions
Externí odkaz:
http://arxiv.org/abs/1305.4537
Publikováno v:
In Pattern Recognition February 2014 47(2):578-587
Autor:
Markuš, Nenad1 nenad.markus@fer.hr, Fratarcangeli, Marco2 marcof@chalmers.se, Pandžić, Igor S.1 igor.pandzic@fer.hr, Ahlberg, Jörgen3 jorgen.ahlberg@liu.se
Publikováno v:
Computer Graphics Forum. Sep2015, Vol. 34 Issue 6, p251-261. 11p. 6 Color Photographs, 2 Black and White Photographs, 2 Illustrations, 2 Diagrams, 3 Charts, 1 Graph.
Ren et al. recently introduced a method for aggregating multiple decision trees into a strong predictor by interpreting a path taken by a sample down each tree as a binary vector and performing linear regression on top of these vectors stacked togeth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::2483be32ffe459bbeb1132111b90e7c7
https://www.bib.irb.hr/952741
https://www.bib.irb.hr/952741