Unsupervised Latent Space Translation Network. - Magda Friedjungová; Daniel Vasata; Tomás Chobola; Marcel Jirina (ESANN, 2020)

Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network. - Tomás Chobola; Daniel Vasata; Pavel Kordík (MetaDL@AAAI, 2021)

DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior. - Tomás Chobola; Anton Theileis; Jan Taucher; Tingying Peng (CoRR, 2022)

Membership Inference Attacks Against Semantic Segmentation Models. - Tomás Chobola; Dmitrii Usynin; Georgios Kaissis (AISec@CCS, 2023)

Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration. - Tomás Chobola; Gesine Müller; Veit Dausmann; Anton Theileis; Jan Taucher; Jan Huisken; Tingying Peng (ICCV (Workshops), 2023)

LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. - Tomás Chobola; Gesine Müller; Veit Dausmann; Anton Theileis; Jan Taucher; Jan Huisken; Tingying Peng (MICCAI (8), 2023)

Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations. - Tomás Chobola; Yu Liu; Hanyi Zhang; Julia A. Schnabel; Tingying Peng (ECCV (86), 2024)