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20112023
most citedAll-Optical Machine Learning Using Diffractive Deep Neural Networks

2.6k citations · 4.7k across the 29 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

physics.optics2022★ 110 cited

Snapshot Multispectral Imaging Using a Diffractive Optical Network

Deniz Mengu, Anika Tabassum, Mona Jarrahi +1

Multispectral imaging has been used for numerous applications in e.g., environmental monitoring, aerospace, defense, and biomedicine. Here, we present a diffractive optical network…

physics.optics2022★ 57 cited

Unidirectional Imaging using Deep Learning-Designed Materials

Jingxi Li, Tianyi Gan, Yifan Zhao +5

A unidirectional imager would only permit image formation along one direction, from an input field-of-view (FOV) A to an output FOV B, and in the reverse path, the image formation…

physics.optics2022★ 23 cited

Coherent terahertz radiation with 2.8-octave tunability through chip-scale photomixed microresonator optical parametric oscillation

Wenting Wang, Ping-Keng Lu, Abhinav Kumar Vinod +7

High spectral purity frequency agile room temperature sources in the terahertz spectrum are foundational elements for imaging, sensing, metrology, and communications. Here we prese…

physics.optics2022★ 1 cited

Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks

Deniz Mengu, Yifan Zhao, Anika Tabassum +2

Permutation matrices form an important computational building block frequently used in various fields including e.g., communications, information security and data processing. Opti…

physics.optics2022★ 88 cited

To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects

Bijie Bai, Yi Luo, Tianyi Gan +6

Privacy protection is a growing concern in the digital era, with machine vision techniques widely used throughout public and private settings. Existing methods address this growing…