Tomás Chobola

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Semantic Segmentation

Image Restoration

Richardson Lucy

Top Venues

ICCV (Workshops)

Publications

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