Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Uche Osahor"'
Autor:
Uche Osahor, Nasser M. Nasrabadi
Publikováno v:
IEEE Access, Vol 10, Pp 98278-98289 (2022)
We propose a text-guided sketch-to-image synthesis model that semantically mixes style and content features from the latent space of an inverted Generative Adversarial Network (GAN). Our goal is to synthesize plausible images from human facial sketch
Externí odkaz:
https://doaj.org/article/489fd7fa222d466584ff27511cf2e63b
Publikováno v:
CVPR Workshops
Facial sketches drawn by artists are widely used for visual identification applications and mostly by law enforcement agencies, but the quality of these sketches depend on the ability of the artist to clearly replicate all the key facial features tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d541281b578d1895dac416aa25b1504b
https://doi.org/10.1109/cvprw50498.2020.00418
https://doi.org/10.1109/cvprw50498.2020.00418
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
Autor:
Uche Osahor, Nasser M. Nasrabadi
Publikováno v:
Automatic Target Recognition XXIX.
Deep Convolutional Neural Networks (DCNN) have proven to be an exceptional tool for object recognition in various computer vision applications. However, recent findings have shown that such state of the art models can be easily deceived by inserting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5140dfb93dfc42a6deac4acdbf82319
https://doi.org/10.1117/12.2518945
https://doi.org/10.1117/12.2518945
Autor:
Nasser M. Nasrabadi, Uche Osahor
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
Target detection systems identify targets by localizing their coordinates on the input image of interest. This is ideally achieved by labeling each pixel in an image as a background or a potential target pixel. Deep Convolutional Neural Network (DCNN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76e55d9b87d3bd34cccfc9a071031681
https://doi.org/10.1117/12.2518970
https://doi.org/10.1117/12.2518970