All-optical information-processing capacity of diffractive surfaces O Kulce, D Mengu, Y Rivenson, A Ozcan Light: Science & Applications 10 (1), 25, 2021 | 101 | 2021 |
All-optical synthesis of an arbitrary linear transformation using diffractive surfaces O Kulce, D Mengu, Y Rivenson, A Ozcan Light: Science & Applications 10 (1), 196, 2021 | 68 | 2021 |
Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network J Li, YC Hung, O Kulce, D Mengu, A Ozcan Light: Science & Applications 11 (1), 153, 2022 | 58 | 2022 |
At the intersection of optics and deep learning: statistical inference, computing, and inverse design D Mengu, MSS Rahman, Y Luo, J Li, O Kulce, A Ozcan Advances in Optics and Photonics 14 (2), 209-290, 2022 | 33 | 2022 |
Evaluation of the validity of the scalar approximation in optical wave propagation using a systems approach and an accurate digital electromagnetic model O Kulce, L Onural, HM Ozaktas Journal of Modern Optics 63 (21), 2382-2391, 2016 | 7 | 2016 |
Generation of a polarized optical field from a given scalar field for wide-viewing-angle holographic displays O Kulce, L Onural Optics and Lasers in Engineering 137, 106344, 2021 | 6 | 2021 |
Power spectrum equalized scalar representation of wide-angle optical field propagation O Kulce, L Onural Journal of Mathematical Imaging and Vision 60 (8), 1246-1260, 2018 | 4 | 2018 |
Phase retrieval from electric field intensity for wide angle optical fields O Kulce, L Onural Computational Optical Sensing and Imaging, CTu1B. 4, 2017 | 1 | 2017 |
Analysis of the longitudinal component of the electric field generated by flat and pixelated liquid crystal displays O Kulce, L Onural 2016 3DTV-Conference: The True Vision-Capture, Transmission and Display of …, 2016 | 1 | 2016 |
All-Optical Computing of a Group of Linear Transformations Using a Polarization Multiplexed Diffractive Neural Network J Li, YC Hung, O Kulce, D Mengu, A Ozcan CLEO: Science and Innovations, SM3J. 3, 2023 | | 2023 |
Polarization diffractive networks: performing multiple linear transformations using a polarization-encoded diffractive optical network J Li, YC Hung, O Kulce, D Mengu, A Ozcan AI and Optical Data Sciences IV, PC1243807, 2023 | | 2023 |
All-Optical Computation of an Arbitrary Linear Transform Using Diffractive Networks O Kulce, D Mengu, Y Rivenson, A Ozcan Computational Optical Sensing and Imaging, CTu3F. 4, 2022 | | 2022 |
All-optical implementations of arbitrary linear transformations using diffractive networks O Kulce, D Mengu, Y Rivenson, A Ozcan AI and Optical Data Sciences III, PC120190O, 2022 | | 2022 |
Information Processing Capacity of Diffractive Optical Processors O Kulce, D Mengu, Y Rivenson, A Ozcan Frontiers in Optics, FW5B. 4, 2021 | | 2021 |
All-optical information processing capacity of diffractive networks O Kulce, D Mengu, Y Rivenson, A Ozcan Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 1180409, 2021 | | 2021 |
Information processing capacity of diffractive surfaces O Kulce, D Mengu, Y Rivenson, A Ozcan AI and Optical Data Sciences II 11703, 1170310, 2021 | | 2021 |
Transformation techniques from scalar wave fields to polarized optical fields for wide-viewing-angle holographic displays O Külçe PQDT-Global, 2018 | | 2018 |
Local error analysis arising from the conventional scalar approximation in wide optical fields O Kulce, L Onural 2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017 | | 2017 |
Surface reflectance estimation from spatio-temporal subband statistics of moving object videos O Külçe PQDT-Global, 2012 | | 2012 |