9 papers
Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection
Parnian Ghapandar Kashani, Shiqi Chen, Aydogan Ozcan
The rapid proliferation of AI-generated visual media has created an urgent need for efficient, trustworthy deepfake detection systems. However, existing deep learning-based detecti…
Compressive single-pixel imaging via a wavelength-multiplexed spatially incoherent diffractive optical processor
Xiao Wang, Yiyang Wu, Yuntian Wang +8
Despite offering high sensitivity, a high signal-to-noise ratio, and a broad spectral range, single-pixel imaging (SPI) is limited by low measurement efficiency and long data-acqui…
Interleaved diffractive networks for information transfer through random diffusers
Yuhang Li, Yiyang Wu, Shiqi Chen +2
Transferring optical information through random diffusers is a critical yet challenging task. In this work, we introduce a cascaded diffractive optical network for information tran…
Snapshot 3D image projection using a diffractive decoder
Cagatay Isil, Alexander Chen, Yuhang Li +4
3D image display is essential for next-generation volumetric imaging; however, dense depth multiplexing for 3D image projection remains challenging because diffraction-induced cros…
Super-resolution image projection over an extended depth of field using a diffractive decoder
Hanlong Chen, Cagatay Isil, Tianyi Gan +2
Image projection systems must be efficient in data storage, computation and transmission while maintaining a large space-bandwidth-product (SBP) at their output. Here, we introduce…
Massively parallel and universal approximation of nonlinear functions using diffractive processors
Md Sadman Sakib Rahman, Yuhang Li, Xilin Yang +2
Nonlinear computation is essential for a wide range of information processing tasks, yet implementing nonlinear functions using optical systems remains a challenge due to the weak…