Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mihai A. Badea"'
Autor:
Mihai A. Badea, Raluca A. Crăciun, Mihai E. Becica, Mihai A. Țilea, Iudita M. Badea, Silviu H. Morariu
Publikováno v:
Romanian Journal of Military Medicine, Vol CXX, Iss 1, Pp 57-60 (2017)
Background and aim: Acne fulminans is a rare and severe form of acne which usually appears in young men with a personal history of mild to moderate acne. It is characterized by a sudden onset with nodules and ulcerative lesions mostly located on th
Externí odkaz:
https://doaj.org/article/e05e13183e6945bda9d2d40722afea79
Publikováno v:
2020 International Conference on e-Health and Bioengineering (EHB).
Based on computer vision’s new found maturity, assistive technologies have been developed for visually impaired people. This paper proposes an embedded device with mounted camera that provides efficient description of the environment. Technically,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::290c69567fe34ed14bb1b3bc3d6fca3d
https://doi.org/10.1109/ehb50910.2020.9280220
https://doi.org/10.1109/ehb50910.2020.9280220
Autor:
Kristin Technau-Hafsi, Peter H. Hoeger, Maria Jose Fiandrino, Cristina Has, David Rafei-Shamsabadi, Judith Fischer, Mina Saleva-Stateva, Mihai-Alexandru Badea, Maria Balabanova, Melanie Boerries, Andreas Zimmer, María del Carmen Boente, Maria Elena Hess, Martin Theiler, Lisa Weibel
Publikováno v:
Journal of the American Academy of Dermatology. 85(6)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5164281d9dab7e28bb5485e995c73e8
https://pubmed.ncbi.nlm.nih.gov/33279647
https://pubmed.ncbi.nlm.nih.gov/33279647
Publikováno v:
2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
Due to the increased interest in human-computer interaction, Facial Expression Recognition (FER) is among the most popular research fields in computer vision and state of the solutions are based on machine learning techniques. In this paper, we propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d386b0664e7fed62d822eb3925cbc0af
https://doi.org/10.1109/ecai50035.2020.9223242
https://doi.org/10.1109/ecai50035.2020.9223242
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
In this paper, as we aim to construct a semi-supervised learning algorithm, we exploit the characteristics of the Deep Convolutional Networks to provide, for an input image, both an embedding descriptor and a prediction. The unlabeled data is combine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0db8c99051c23409b3e4c76d4285f1c
https://doi.org/10.1007/978-3-030-58592-1_1
https://doi.org/10.1007/978-3-030-58592-1_1
Publikováno v:
SpeD
In face expressions, the genuine vs. posed problem refers to the ability of a computer-based system to analyze an image of a face and to recognize whether facial behavior is due to a real emotion or is the consequence of the voluntary control. In rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac31f2d707551fcbaa6578f7d4b34e68
https://doi.org/10.1109/sped.2019.8906591
https://doi.org/10.1109/sped.2019.8906591
Publikováno v:
2019 International Symposium on Signals, Circuits and Systems (ISSCS).
By initiating the process without guidance from labels, transductive learning techniques allow the discovery of the internal, natural structures existing in datasets. In parallel, various paradigms have been proposed to explore the human facial dynam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebc9e8af52608ac1506d22565be73a5d
https://doi.org/10.1109/isscs.2019.8801749
https://doi.org/10.1109/isscs.2019.8801749
Publikováno v:
2019 International Symposium on Signals, Circuits and Systems (ISSCS).
Spontaneous vs posed (SVP) problem refers to the capability of a computer vision system to analyze a facial image and to recognize if the facial behavior is due to a genuine emotion or is posed via voluntary control. In this paper we propose a method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b211cbdaaf0d7ff2f6508cfb6d8ac8e
https://doi.org/10.1109/isscs.2019.8801755
https://doi.org/10.1109/isscs.2019.8801755
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030014483
ACIVS
ACIVS
In this paper the theme of automatic face expression identification is approached. We propose a robust method to identify the neutral face of a person while showing various expressions. The method consists in separating various images of faces based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef4f5c68544e36bf28b19d5b48a686f
https://doi.org/10.1007/978-3-030-01449-0_5
https://doi.org/10.1007/978-3-030-01449-0_5
Publikováno v:
2017 International Symposium on Signals, Circuits and Systems (ISSCS).
In this paper we approach the problem of scene recognition in paintings. We tackle this task with the aid of Convolutional Neural Networks and a large database consisting of around 80,000 paintings. The main purpose is to identify an efficient method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8efaa01bf1d4144f54319a162f96248
https://doi.org/10.1109/isscs.2017.8034907
https://doi.org/10.1109/isscs.2017.8034907