Tomás Chobola

15 papers B 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration.
MICCAI (13)
Tomás Chobola, Julia A. Schnabel, Tingying Peng
2025 J jnl
Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration.
CoRR
Tomás Chobola, Julia A. Schnabel, Tingying Peng
2024 — conf
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations.
ECCV (86)
Tomás Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng
2024 J jnl
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations.
CoRR
Tomás Chobola, Yu Liu, Hanyi Zhang, Julia A. Schnabel, Tingying Peng
2023 — conf
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network.
MICCAI (8)
Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
2023 J jnl
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network.
CoRR
Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
2023 — conf
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration.
ICCV (Workshops)
Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
2023 J jnl
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration.
CoRR
Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng
2023 — conf
Membership Inference Attacks Against Semantic Segmentation Models.
AISec@CCS
Tomás Chobola, Dmitrii Usynin, Georgios Kaissis
2022 J jnl
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior.
CoRR
Tomás Chobola, Anton Theileis, Jan Taucher, Tingying Peng
2022 J jnl
Membership Inference Attacks Against Semantic Segmentation Models.
CoRR
Tomás Chobola, Dmitrii Usynin, Georgios Kaissis
2021 — conf
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network.
MetaDL@AAAI
Tomás Chobola, Daniel Vasata, Pavel Kordík
2021 J jnl
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network.
CoRR
Tomás Chobola, Daniel Vasata, Pavel Kordík
2020 B conf
Unsupervised Latent Space Translation Network.
ESANN
Magda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina
2020 J jnl
Unsupervised Latent Space Translation Network.
CoRR
Magda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina