Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Haz M"'
Autor:
��zgen, Azmi Can, Ekenel, Haz��m Kemal
Converting text descriptions into images using Generative Adversarial Networks has become a popular research area. Visually appealing images have been generated successfully in recent years. Inspired by these studies, we investigated the generation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e592de8326c4197857aac21dd490b8f
http://arxiv.org/abs/2007.04383
http://arxiv.org/abs/2007.04383
In this paper, we explore the correlation between different visual biometric modalities. For this purpose, we present an end-to-end deep neural network model that learns a mapping between the biometric modalities. Namely, our goal is to generate a fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de51f574aabf37a5dc48831d3b329a67
http://arxiv.org/abs/2006.01943
http://arxiv.org/abs/2006.01943
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::993f45d2f2abe3de2640b2e9470fa4e6
http://arxiv.org/abs/2002.04219
http://arxiv.org/abs/2002.04219
Attribute guided face image synthesis aims to manipulate attributes on a face image. Most existing methods for image-to-image translation can either perform a fixed translation between any two image domains using a single attribute or require trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5721ba6a1880f6e9ff3d2c376c4df61
http://arxiv.org/abs/1905.00286
http://arxiv.org/abs/1905.00286
In this paper, we present an end-to-end network, called Cycle-Dehaze, for single image dehazing problem, which does not require pairs of hazy and corresponding ground truth images for training. That is, we train the network by feeding clean and hazy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9508e59ba590d648b8e7b9031c787fb
http://arxiv.org/abs/1805.05308
http://arxiv.org/abs/1805.05308
Publikováno v:
Geophysical Journal International. 193:650-663
A palaeomagnetic investigation was carried out on a series of rift basalts (Woniusi Formation) that accumulated on the Baoshan block (SW China) in the Early Permian, the aim being to provide quantitative palaeogeographical information on the eastern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7855108eeec7ca2f09d2e25f722709de
https://doi.org/10.1093/gji/ggt012
https://doi.org/10.1093/gji/ggt012
Publikováno v:
AVSS
In this paper, we study the use of facial appearancefeatures for the re-identification of persons using distributedcamera networks in a realistic surveillance scenario.In contrast to features commonly used for person reidentification,such as whole bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49a8640fbe46f99b9a1b99f7a0255fcf
Autor:
Hermida, T., Delgado, M., Pombo, J., Fernández, R., Escalante, M., Paradela, M., Haz, M., Fieira, E., Marcos, P., Ovalle, J., Reguera, A., De La Torre, M., Concha, A.
Publikováno v:
In Journal of Heart and Lung Transplantation April 2017 36(4) Supplement:S448-S448
Akademický článek
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Publikováno v:
In European Urology Supplements November 2012 11(5):191-191