Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Moktari Mostofa"'
Autor:
Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Moktari Mostofa, Sobhan Soleymani, Nasser M. Nasrabadi
Publikováno v:
IEEE Access, Vol 11, Pp 11238-11253 (2023)
State-of-the-art deep learning-based Head Pose Estimation (HPE) techniques have reached spectacular performance on High-Resolution (HR) face images. However, they still fail to achieve expected performance on low-resolution images at large scales. Th
Externí odkaz:
https://doaj.org/article/24bf138539e5430994802a06556702e6
Publikováno v:
IEEE Access, Vol 8, Pp 82306-82319 (2020)
In many domestic and military applications, aerial vehicle detection and super-resolution algorithms are frequently developed and applied independently. However, aerial vehicle detection on super-resolved images remains a challenging task due to the
Externí odkaz:
https://doaj.org/article/06924abfbabb41f18e615c89bf488dad
Autor:
Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Sobhan Soleymani, Moktari Mostofa, Nasser M. Nasrabadi
In this paper, we seek to draw connections between the frontal and profile face images in an abstract embedding space. We exploit this connection using a coupled-encoder network to project frontal/profile face images into a common latent embedding sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d42413455d257e9176c64e7d075e22
http://arxiv.org/abs/2209.03456
http://arxiv.org/abs/2209.03456
Publikováno v:
IEEE Access, Vol 8, Pp 82306-82319 (2020)
In many domestic and military applications, aerial vehicle detection and super-resolution algorithms are frequently developed and applied independently. However, aerial vehicle detection on super-resolved images remains a challenging task due to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a83adb7230d7b0df93831a1bef2d6279
https://doi.org/10.1109/access.2020.2990870
https://doi.org/10.1109/access.2020.2990870
In recent years, cross-spectral iris recognition has emerged as a promising biometric approach to establish the identity of individuals. However, matching iris images acquired at different spectral bands (i.e., matching a visible (VIS) iris probe to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51f2fdd23961dde8bce44f90d25553f9
Publikováno v:
IJCB
Cross-spectral iris recognition is emerging as a promising biometric approach to authenticating the identity of individuals. However, matching iris images acquired at different spectral bands shows significant performance degradation when compared to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::335e45e1e9800457196406e9c2013ff4
http://arxiv.org/abs/2010.11689
http://arxiv.org/abs/2010.11689
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
Vehicle detection in aerial imagery is still an open research challenge although it has received some breakthroughs in the computer vision research community. Most of the existing state-of-the-art vehicle detection algorithms have ignored to consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc782e47ad523c219bbbf693761bd242
https://doi.org/10.1117/12.2558275
https://doi.org/10.1117/12.2558275
Publikováno v:
Automatic Target Recognition XXX.
Images can be captured using devices operating at different light spectrum's. As a result, cross domain image translation becomes a nontrivial task which requires the adaptation of Deep convolutional networks (DCNNs) to resolve the aforementioned ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ee004ba8f6e44f8c8e6edac8d94a00
https://doi.org/10.1117/12.2558276
https://doi.org/10.1117/12.2558276
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
Vehicle detection in aerial imagery has become tremendously a challenging task due to the low resolution characteristics of the aerial images. Super-Resolution; a technique which recovers high-resolution image from a single low-resolution image can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17651ce97ea9205b9a459981df1a74a6
https://doi.org/10.1117/12.2519045
https://doi.org/10.1117/12.2519045