Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Kantarci, Alperen"'
Autor:
Eyiokur, Fevziye Irem, Kantarcı, Alperen, Erakın, Mustafa Ekrem, Damer, Naser, Ofli, Ferda, Imran, Muhammad, Križaj, Janez, Salah, Albert Ali, Waibel, Alexander, Štruc, Vitomir, Ekenel, Hazım Kemal
The emergence of COVID-19 has had a global and profound impact, not only on society as a whole, but also on the lives of individuals. Various prevention measures were introduced around the world to limit the transmission of the disease, including fac
Externí odkaz:
http://arxiv.org/abs/2211.03705
Publikováno v:
Multimedia Tools and Applications 2024
In December 2019, a novel coronavirus (COVID-19) spread so quickly around the world that many countries had to set mandatory face mask rules in public areas to reduce the transmission of the virus. To monitor public adherence, researchers aimed to ra
Externí odkaz:
http://arxiv.org/abs/2211.01207
Autor:
Waibel, Alexander, Behr, Moritz, Eyiokur, Fevziye Irem, Yaman, Dogucan, Nguyen, Tuan-Nam, Mullov, Carlos, Demirtas, Mehmet Arif, Kantarcı, Alperen, Constantin, Stefan, Ekenel, Hazım Kemal
In this paper, we propose a neural end-to-end system for voice preserving, lip-synchronous translation of videos. The system is designed to combine multiple component models and produces a video of the original speaker speaking in the target language
Externí odkaz:
http://arxiv.org/abs/2206.04523
Face anti-spoofing is essential to prevent false facial verification by using a photo, video, mask, or a different substitute for an authorized person's face. Most of the state-of-the-art presentation attack detection (PAD) systems suffer from overfi
Externí odkaz:
http://arxiv.org/abs/2109.03484
Autor:
Massoli, Fabio Valerio, Falchi, Fabrizio, Kantarci, Alperen, Akti, Şeymanur, Ekenel, Hazim Kemal, Amato, Giuseppe
Publikováno v:
IEEE TNNLS (2021)
Anomalies are ubiquitous in all scientific fields and can express an unexpected event due to incomplete knowledge about the data distribution or an unknown process that suddenly comes into play and distorts observations. Due to such events' rarity, t
Externí odkaz:
http://arxiv.org/abs/2012.12111
Research on offline signature verification has explored a large variety of methods on multiple signature datasets, which are collected under controlled conditions. However, these datasets may not fully reflect the characteristics of the signatures in
Externí odkaz:
http://arxiv.org/abs/2004.12104
Autor:
Kantarcı, Alperen, Ekenel, Hazım Kemal
Visible face recognition systems achieve nearly perfect recognition accuracies using deep learning. However, in lack of light, these systems perform poorly. A way to deal with this problem is thermal to visible cross-domain face matching. This is a d
Externí odkaz:
http://arxiv.org/abs/2002.04219
Publikováno v:
2019 4th International Conference on Computer Science and Engineering (UBMK) (2019) 183-188
Traditional elections satisfy neither citizens nor political authorities in recent years. They are not fully secure since it is easy to attack votes. It threatens also privacy and transparency of voters. Additionally, it takes too much time to count
Externí odkaz:
http://arxiv.org/abs/1911.09903
Autor:
Eyiokur, Fevziye Irem, Kantarcı, Alperen, Erakın, Mustafa Ekrem, Damer, Naser, Ofli, Ferda, Imran, Muhammad, Križaj, Janez, Salah, Albert Ali, Waibel, Alexander, Štruc, Vitomir, Ekenel, Hazım Kemal
Publikováno v:
In Image and Vision Computing February 2023 130
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