Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Duc Minh Vo"'
Publikováno v:
IEEE Access, Vol 10, Pp 103644-103654 (2022)
Generative Adversarial Networks (GANs) play the adversarial game between two neural networks: the generator and the discriminator. Many studies treat the discriminator’s outputs as an implicit posterior distribution prior to the input image distrib
Externí odkaz:
https://doaj.org/article/c0356fd6922e4b258be249ca131cc833
Autor:
Loc Phuoc Hoang, Hieu Thanh Le, Hung Van Tran, Thanh Chi Phan, Duc Minh Vo, Phuong Anh Le, Dung The Nguyen, Chakrit Pong-inwong
Publikováno v:
Education and Information Technologies. 27:4007-4035
Peer assessment has an important role in teaching and learning nowadays. However, the existing techniques tend to be limited due to a lack of a suitable means to evaluate the accuracy of peer assessment activities and supervise peer assessment perfor
Autor:
Duc Minh Vo, Akihiro Sugimoto
Publikováno v:
Machine Vision and Applications. 33
Akademický článek
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We push forward neural network compression research by exploiting a novel challenging task of large-scale conditional generative adversarial networks (GANs) compression. To this end, we propose a gradually shrinking GAN (PPCD-GAN) by introducing prog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::725e7afc695d4cb3b07267fcb1ceae2e
http://arxiv.org/abs/2203.08456
http://arxiv.org/abs/2203.08456
Publikováno v:
MVA
Image captioning has drawn more and more attention because of its practical usefulness in many multimedia applications. Multiple criteria such as accuracy, detail or diversity exist to evaluate the quality of generated captions. Among them, diversity
Publikováno v:
ICPR
We address a novel problem of stylized-colorization which colorizes a given line art using a given coloring style in text. This problem can be stated as multi-domain image translation and is more challenging than the current colorization problem beca
Autor:
Duc Minh Vo, Akihiro Sugimoto
Publikováno v:
Machine Vision and Applications. 31
Style transfer is to render given image contents in given styles, and it has an important role in both computer vision fundamental research and industrial applications. Following the success of deep learning based approaches, this problem has been re
Autor:
Duc Minh Vo, Akihiro Sugimoto
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586034
ECCV (28)
ECCV (28)
We propose an end-to-end network for image generation from given structured-text that consists of the visual-relation layout module and stacking-GANs. Our visual-relation layout module uses relations among entities in the structured-text in two ways:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d29bc6dc8a77abdf9f35ff886630dfee
https://doi.org/10.1007/978-3-030-58604-1_18
https://doi.org/10.1007/978-3-030-58604-1_18
Autor:
Duc Minh Vo, Akihiro Sugimoto
Publikováno v:
Computer Vision – ACCV 2018 ISBN: 9783030208691
ACCV (4)
ACCV (4)
Semantic image synthesis is to render foreground (object) given as a text description into a given source image. This has a wide range of applications such as intelligent image manipulation, and is helpful to those who are not good at painting. We pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::890bedbf375801990646592bc848cc38
https://doi.org/10.1007/978-3-030-20870-7_29
https://doi.org/10.1007/978-3-030-20870-7_29