Výsledky vyhledávání - "Ilya Kalinovskiy"

PFA-GAN: Pose Face Augmentation Based on Generative Adversarial Network

Autor: Yuri Matveev, Bassel Zeno, Ilya Kalinovskiy

Publikováno v: Informatica. :425-440

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::16f4f699fdf611cda11a89131626edcc
https://doi.org/10.15388/21-infor443

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CtrlFaceNet: Framework for geometric-driven face image synthesis

Autor: Bassel Alkhatib, Ilya Kalinovskiy, Bassel Zeno, Yuri Matveev

Publikováno v: Pattern Recognition Letters. 138:527-533

In this work, we introduce a novel framework based on Generative Adversarial Networks to control the pose, expression and facial features of a given face image using another face image. It can then be used for data augmentation, pose invariant face i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8a8caa242d10321b31108dd26c12ebb1
https://doi.org/10.1016/j.patrec.2020.08.026

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Identity preserving face synthesis using generative adversarial networks

Autor: Bassel Zeno, Ilya Kalinovskiy, Yuri Matveev

Publikováno v: Proceedings of the 5th International Conference on Engineering and MIS.

This paper provides a comparative analysis between two recent image-to-image translation models based on Generative Adversarial Networks. The first one is UNIT which consists of coupled GANs and variational autoencoders (VAEs) with shared-latent spac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::169fd50820f8e3b3b37e92fc710a0927
https://doi.org/10.1145/3330431.3330435

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IP-GAN: Learning Identity and Pose Disentanglement in Generative Adversarial Networks

Autor: Bassel Zeno, Ilya Kalinovskiy, Yuri Matveev

Publikováno v: Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions ISBN: 9783030304928
ICANN (Workshop)

Synthesizing realistic multi-view face images from a single-view input is an effective and cheap way for data augmentation. In addition it is promising for more efficiently training deep pose-invariant models for large-scale unconstrained face recogn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd3d0bb044900011e8abd4e8e7e53480
https://doi.org/10.1007/978-3-030-30493-5_51

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Hard Example Mining with Auxiliary Embeddings

Autor: Andrei Oleinik, Ilya Kalinovskiy, Aleksandr Melnikov, Evgeny Smirnov, Eugene Luckyanets, Elizaveta Ivanova

Publikováno v: CVPR Workshops

Hard example mining is an important part of the deep embedding learning. Most methods perform it at the mini-batch level. However, in the large-scale settings there is only a small chance that proper examples will appear in the same mini-batch and wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8efc5b3627403cc92343a0ede35161f9
https://doi.org/10.1109/cvprw.2018.00013

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Comparative Review of Cross-Domain Generative Adversarial Networks

Autor: Ilya Kalinovskiy, Yu. N. Matveev, Bassel Zeno

Publikováno v: IOP Conference Series: Materials Science and Engineering. 618:012012

This paper provides the comparative analysis between two recent image-to-image translation models that based on Generative Adversarial Networks. The first one is UNIT which consists of coupled GANs and variational autoencoders (VAEs) with shared-late

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::291c1d12e83d9d5eec01a3e92159a61b
https://doi.org/10.1088/1757-899x/618/1/012012

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