Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yunus Can Bilge"'
Publikováno v:
IEEE Access, Vol 12, Pp 107757-107768 (2024)
Sign language functions as an indispensable interaction method for a certain portion of people in society, offering a unique way of communication. A significant challenge in advancing towards this objective is the difficulty in obtaining suitable tra
Externí odkaz:
https://doaj.org/article/4181fe8646ed433184fe7f4318ee178e
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30183961f67b1adc2792559ba79c9816
https://doi.org/10.1109/siu55565.2022.9864828
https://doi.org/10.1109/siu55565.2022.9864828
This paper tackles the problem of zero-shot sign language recognition (ZSSLR), where the goal is to leverage models learned over the seen sign classes to recognize the instances of unseen sign classes. In this context, readily available textual sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab2d9e3a45091bcf528907c1f7550d6a
http://arxiv.org/abs/2201.05914
http://arxiv.org/abs/2201.05914
Autor:
Ramazan Gokberk Cinbis, Pinar Duygulu, Yunus Can Bilge, Nazli Ikizler-Cinbis, Mehmet Kerim Yucel
Publikováno v:
WACV
In many real-world problems, there is typically a large discrepancy between the characteristics of data used in training versus deployment. A prime example is the analysis of aggression videos: in a criminal incidence, typically suspects need to be i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b0ab9c49be767c5cbd0a0f81567c2bd
Publikováno v:
SIU
Detection of abnormal state (anomaly) is one of the topics that is frequently studied in the field of computer vision. In this study, we aim to investigate the combination of an unsupervised and discriminative anomaly detection method with a backgrou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d8f75816d3ad995ac6b67ef46ebefa6
https://doi.org/10.1109/siu.2017.7960592
https://doi.org/10.1109/siu.2017.7960592