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M. Makarenko

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • physics.optics1

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedSDA-GAN: Unsupervised Image Translation Using Spectral Domain Attention-Guided Generative Adversarial Network

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022

Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders

Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang +4

Hyperspectral imaging has attracted significant attention to identify spectral signatures for image classification and automated pattern recognition in computer vision. State-of-th…

cs.CV2021★ 3 cited

SDA-GAN: Unsupervised Image Translation Using Spectral Domain Attention-Guided Generative Adversarial Network

Qizhou Wang, Maksim Makarenko

This work introduced a novel GAN architecture for unsupervised image translation on the task of face style transform. A spectral attention-based mechanism is embedded into the desi…

physics.optics2020

Broadband vectorial ultra-flat optics with experimental efficiency up to 99% in the visible via universal approximators

Fedor Getman, Maksim Makarenko, Arturo Burguete-Lopez +1

Integrating conventional optics into compact nanostructured surfaces is the goal of flat optics. Despite the enormous progress of this technology, there are still critical challeng…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.