3 citations · 4 across the 6 of their papers we have counts for
6 papers
MOCLIP: A Foundation Model for Large-Scale Nanophotonic Inverse Design
S. Rodionov, A. Burguete-Lopez, M. Makarenko +3
Foundation models (FM) are transforming artificial intelligence by enabling generalizable, data-efficient solutions across different domains for a broad range of applications. Howe…
Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s
Maksim Makarenko, Qizhou Wang, Arturo Burguete-Lopez +4
Foundation models, exemplified by GPT technology, are discovering new horizons in artificial intelligence by executing tasks beyond their designers' expectations. While the present…
Pixelated high-Q metasurfaces for in-situ biospectroscopy and AI-enabled classification of lipid membrane photoswitching dynamics
Martin Barkey, Rebecca Büchner, Alwin Wester +9
Nanophotonic devices excel at confining light into intense hot spots of the electromagnetic near fields, creating unprecedented opportunities for light-matter coupling and surface-…
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…
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…
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…