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07/16/2023
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
The process of acquiring microscopic images in life sciences often resul...
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12/02/2022
Membership Inference Attacks Against Semantic Segmentation Models
Membership inference attacks aim to infer whether a data record has been...
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09/30/2022
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior
We present a model for non-blind image deconvolution that incorporates t...
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02/09/2021
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network
MetaDL Challenge 2020 focused on image classification tasks in few-shot ...
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03/20/2020