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07/12/2023
Local Conditional Neural Fields for Versatile and Generalizable Large-Scale Reconstructions in Computational Imaging
Deep learning has transformed computational imaging, but traditional pix...
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02/17/2023
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning
Domain adaptation manages to transfer the knowledge of well-labeled sour...
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03/29/2021
Physical model simulator-trained neural network for computational 3D phase imaging of multiple-scattering samples
Recovering 3D phase features of complex, multiple-scattering biological ...
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03/29/2021
An Adversarial Human Pose Estimation Network Injected with Graph Structure
Because of the invisible human keypoints in images caused by illuminatio...
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03/20/2020
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
Domain adaptation has been a fundamental technology for transferring kno...
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10/31/2018
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
The plug-and-play priors (PnP) framework has been recently shown to achi...
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04/27/2018
Convolutional neural network for Fourier ptychography video reconstruction: learning temporal dynamics from spatial ensembles
Convolutional neural networks (CNNs) have gained tremendous success in s...
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09/30/2017
PCANet-II: When PCANet Meets the Second Order Pooling
PCANet, as one noticeable shallow network, employs the histogram represe...
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10/27/2016
Compressive Holographic Video
Compressed sensing has been discussed separately in spatial and temporal...
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10/26/2016
Structured illumination microscopy with unknown patterns and a statistical prior
Structured illumination microscopy (SIM) improves resolution by down-mod...
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11/10/2015