Tomás Chobola

According to our database, Tomás Chobola authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network.

Tomás Chobola, Gesine Müller, Veit Dausmann, Anton Theileis, Jan Taucher, Jan Huisken, Tingying Peng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Membership Inference Attacks Against Semantic Segmentation Models.

Tomás Chobola, Dmitrii Usynin, Georgios Kaissis

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior.

Tomás Chobola, Anton Theileis, Jan Taucher, Tingying Peng

CoRR, 2022

2021

Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network.

Tomás Chobola, Daniel Vasata, Pavel Kordík

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020

Unsupervised Latent Space Translation Network.

Magda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020