Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Muhammet Balcilar"'
End-to-end image and video compression using auto-encoders (AE) offers new appealing perspectives in terms of rate-distortion gains and applications. While most complex models are on par with the latest compression standard like VVC/H.266 on objectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::881bb74783124fc3e200a6ff4689d0ef
Autor:
Sébastien Adam, Guillaume Hoffmann, Muhammet Balcilar, Benoit Gaüzère, Vincent Tognetti, Laurent Joubert, Pierre Héroux
Publikováno v:
Journal of Computational Chemistry. 41:2124-2136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cd2b97e4e846714e48be5f9ddb75700
https://doi.org/10.1002/jcc.26376
https://doi.org/10.1002/jcc.26376
End-to-end deep trainable models are about to exceed the performance of the traditional handcrafted compression techniques on videos and images. The core idea is to learn a non-linear transformation, modeled as a deep neural network, mapping input im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c390be45369f39b73c3ba73354a45dcb
Autor:
Muhammet Balcilar, Sébastien Adam, Paul Honeine, Pierre Héroux, Benoit Gaüzère, Guillaume Renton
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2021, ⟨10.1016/j.patrec.2021.09.020⟩
Pattern Recognition Letters, Elsevier, 2021, ⟨10.1016/j.patrec.2021.09.020⟩
International audience; In this paper, we propose a method to both extract and classify symbols in floorplan images. This method relies on the very recent developments of Graph Neural Networks (GNN). In the proposed approach, floorplan images are fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77895fec2f0d104a1d5ec98f3f5a8f13
https://hal-normandie-univ.archives-ouvertes.fr/hal-03410511
https://hal-normandie-univ.archives-ouvertes.fr/hal-03410511
Autor:
Muhammet Balcilar, Renton Guillaume, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine
Publikováno v:
Proceedings of the International Conference on Learning Representations (ICLR)
Proceedings of the International Conference on Learning Representations (ICLR), May 2021, Vienna, Austria
HAL
Proceedings of the International Conference on Learning Representations (ICLR), May 2021, Vienna, Austria
HAL
International audience; In the recent literature of Graph Neural Networks (GNN), the expressive power of models has been studied through their capability to distinguish if two given graphs are isomorphic or not. Since the graph isomorphism problem is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e745d87ca601e932bcbdcf3e73f9ebbc
https://hal-normandie-univ.archives-ouvertes.fr/hal-03135633
https://hal-normandie-univ.archives-ouvertes.fr/hal-03135633
Autor:
Muhammet, Balcilar, Guillaume, Renton, Pierre, Héroux, Benoit, Gaüzère, Sébastien, Adam, Honeine, Paul
Publikováno v:
Thirty-seventh International Conference on Machine Learning (ICML 2020)-Workshop on Graph Representation Learning and Beyond (GRL+ 2020)
Thirty-seventh International Conference on Machine Learning (ICML 2020)-Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria
Thirty-seventh International Conference on Machine Learning (ICML 2020)-Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria
International audience; Convolutional Graph Neural Networks (Con-vGNNs) are designed either in the spectral domain or in the spatial domain. In this paper, we provide a theoretical framework to analyze these neural networks, by deriving some equivale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c8e772ee4bb089c1e20f45dcfbe673a9
https://hal-normandie-univ.archives-ouvertes.fr/hal-03088374
https://hal-normandie-univ.archives-ouvertes.fr/hal-03088374
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 230:932-942
The leakage problem, which occurs due to the high hydrostatic pressure values of the fluid inside the pipes, is a serious issue in most of the pipeline systems. Therefore, the leak tightness test is required in different standards for verification of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::067853e00e6c58ad53171aa6478ca94c
https://doi.org/10.1177/0959651816658813
https://doi.org/10.1177/0959651816658813
Autor:
Muhammet Balcilar, A. Coskun Sonmez
Publikováno v:
Signal, Image and Video Processing. 10:85-92
The basic steps for computer vision-based automatic video analysis are to detect and track objects. In order to do these steps, the most important and commonly used methods are background subtraction methods. This paper proposes a novel background su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9939ca8a1ee4f1f79e0e5cf58b9769e1
https://doi.org/10.1007/s11760-014-0705-9
https://doi.org/10.1007/s11760-014-0705-9
Publikováno v:
Applied Mathematics & Information Sciences. 8:1755-1766
In order to detect moving objects such as vehicles in motorways, background subtraction techniques are commonly used. This is completely solved problem for static backgrounds. However, real-world problems contain many non-static components such as wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28c3cabfd0ccf0d38dbdaf0e2a6f840b
https://doi.org/10.12785/amis/080433
https://doi.org/10.12785/amis/080433
Publikováno v:
Journal of Enterprise Information Management. 27:316-328
Purpose – The purpose of this study is to develop a fuzzy expert system to design robust forecast of return quantity in order to handle uncertainties from the return process in reverse logistic network. Design/methodology/approach – The most impo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaf4087890aedea842e2e3d434b68ab5
https://doi.org/10.1108/jeim-12-2013-0089
https://doi.org/10.1108/jeim-12-2013-0089