365 citations · 1.6k across the 22 of their papers we have counts for
3 papers · 1 filter
Computed tomography using meta-optics
Maksym Zhelyeznuyakov, Johannes E. Fröch, Shane Colburn +2
Computer vision tasks require processing large amounts of data to perform image classification, segmentation, and feature extraction. Optical preprocessors can potentially reduce t…
Compressed Meta-Optical Encoder for Image Classification
Anna Wirth-Singh, Jinlin Xiang, Minho Choi +5
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…
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks
Jinlin Xiang, Shane Colburn, Arka Majumdar +1
In recent years, Convolutional Neural Networks (CNNs) have enabled ubiquitous image processing applications. As such, CNNs require fast runtime (forward propagation) to process hig…