Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network T Chobola, D Vašata, P Kordík AAAI Workshop on Meta-Learning and MetaDL Challenge, 29-37, 2021 | 21 | 2021 |
Membership inference attacks against semantic segmentation models T Chobola, D Usynin, G Kaissis Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | 6 | 2023 |
Study of light-by-light scattering with the ATLAS Forward Proton (AFP) Detector at CERN T Chobola Prague, Tech. U., 2020 | 3 | 2020 |
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network T Chobola, G Müller, V Dausmann, A Theileis, J Taucher, J Huisken, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior T Chobola, A Theileis, J Taucher, T Peng arXiv preprint arXiv:2209.15377, 2022 | 1 | 2022 |
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations T Chobola, Y Liu, H Zhang, JA Schnabel, T Peng arXiv preprint arXiv:2407.12511, 2024 | | 2024 |
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration T Chobola, G Müller, V Dausmann, A Theileis, J Taucher, J Huisken, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
Unsupervised Latent Space Translation Network M Friedjungová, D Vašata, T Chobola, M Jiřina arXiv preprint arXiv:2003.09149, 2020 | | 2020 |