9 citations · 12 across the 7 of their papers we have counts for
7 papers
Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration
Tomáš Chobola, Julia A. Schnabel, Tingying Peng
Current self-supervised denoising techniques achieve impressive results, yet their real-world application is frequently constrained by substantial computational and memory demands,…
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration
Tomáš Chobola, Gesine Müller, Veit Dausmann +4
Non-blind deconvolution aims to restore a sharp image from its blurred counterpart given an obtained kernel. Existing deep neural architectures are often built based on large datas…
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
Tomáš Chobola, Gesine Müller, Veit Dausmann +4
The process of acquiring microscopic images in life sciences often results in image degradation and corruption, characterised by the presence of noise and blur, which poses signifi…
Membership Inference Attacks Against Semantic Segmentation Models
Tomas Chobola, Dmitrii Usynin, Georgios Kaissis
Membership inference attacks aim to infer whether a data record has been used to train a target model by observing its predictions. In sensitive domains such as healthcare, this ca…
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior
Tomas Chobola, Anton Theileis, Jan Taucher +1
We present a model for non-blind image deconvolution that incorporates the classic iterative method into a deep learning application. Instead of using large over-parameterised gene…
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network
Tomáš Chobola, Daniel Vašata, Pavel Kordík
MetaDL Challenge 2020 focused on image classification tasks in few-shot settings. This paper describes second best submission in the competition. Our meta learning approach modifie…
Unsupervised Latent Space Translation Network
Magda Friedjungová, Daniel Vašata, Tomáš Chobola +1
One task that is often discussed in a computer vision is the mapping of an image from one domain to a corresponding image in another domain known as image-to-image translation. Cur…