Search Results for author: Johannes E. Fröch

Found 3 papers, 0 papers with code

Compressed Meta-Optical Encoder for Image Classification

no code implementations23 Apr 2024 Anna Wirth-Singh, Jinlin Xiang, Minho Choi, Johannes E. Fröch, Luocheng Huang, Shane Colburn, Eli Shlizerman, Arka Majumdar

Optical and hybrid convolutional neural networks (CNNs) recently have become of increasing interest to achieve low-latency, low-power image classification and computer vision tasks.

Classification Image Classification +1

Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics

no code implementations13 Dec 2022 Vishwanath Saragadam, Zheyi Han, Vivek Boominathan, Luocheng Huang, Shiyu Tan, Johannes E. Fröch, Karl F. Böhringer, Richard G. Baraniuk, Arka Majumdar, Ashok Veeraraghavan

A computational backend then utilizes a deep image prior to separate the resultant multiplexed image or video into a foveated image consisting of a high-resolution center and a lower-resolution large field of view context.

Inverse-Designed Meta-Optics with Spectral-Spatial Engineered Response to Mimic Color Perception

no code implementations28 Apr 2022 Chris Munley, Wenchao Ma, Johannes E. Fröch, Quentin A. A. Tanguy, Elyas Bayati, Karl F. Böhringer, Zin Lin, Raphaël Pestourie, Steven G. Johnson, Arka Majumdar

Meta-optics have rapidly become a major research field within the optics and photonics community, strongly driven by the seemingly limitless opportunities made possible by controlling optical wavefronts through interaction with arrays of sub-wavelength scatterers.

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