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Kostas Papafitsoros
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2020 – today
- 2025
- [c3]Alexis Joly
, Lukás Picek
, Stefan Kahl
, Hervé Goëau
, Lukás Adam
, Christophe Botella
, Maximilien Servajean
, Diego Marcos
, César Leblanc
, Théo Larcher, Jirí Matas, Klára Janousková, Vojtech Cermák
, Kostas Papafitsoros
, Robert Planqué
, Willem-Pier Vellinga
, Holger Klinck
, Tom Denton, Pierre Bonnet
, Henning Müller
:
LifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification. ECIR (5) 2025: 373-381 - [i9]Thanh Trung Vu, Andreas Kofler, Kostas Papafitsoros:
Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation. CoRR abs/2502.16532 (2025) - [i8]Andreas Kofler, Luca Calatroni, Christoph Kolbitsch, Kostas Papafitsoros:
Learning Spatially Adaptive ℓ1-Norms Weights for Convolutional Synthesis Regularization. CoRR abs/2503.09483 (2025) - 2024
- [j5]Guozhi Dong
, Michael Hintermüller
, Kostas Papafitsoros
:
A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives. SIAM J. Optim. 34(3): 2314-2349 (2024) - [c2]Vojtech Cermák, Lukás Picek, Lukás Adam
, Kostas Papafitsoros:
WildlifeDatasets: An open-source toolkit for animal re-identification. WACV 2024: 5941-5951 - [c1]Lukás Adam
, Vojtech Cermák, Kostas Papafitsoros, Lukás Picek:
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification. WACV 2024: 7131-7141 - [i7]Lukás Adam
, Vojtech Cermák, Kostas Papafitsoros, Lukás Picek:
WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals. CoRR abs/2406.09211 (2024) - [i6]Tobias Wolf, Derek Driggs, Kostas Papafitsoros, Elena Resmerita, Carola-Bibiane Schönlieb:
Nested Bregman Iterations for Decomposition Problems. CoRR abs/2409.01097 (2024) - [i5]Evangelos Papoutsellis, Zeljko Kereta, Kostas Papafitsoros:
Why do we regularise in every iteration for imaging inverse problems? CoRR abs/2411.00688 (2024) - 2023
- [j4]Andreas Kofler
, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, Evangelos Papoutsellis
, David Schote
, Clemens Sirotenko, Felix Frederik Zimmermann, Kostas Papafitsoros
:
Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling. SIAM J. Imaging Sci. 16(4): 2202-2246 (2023) - [i4]Vojtech Cermák, Lukás Picek, Lukás Adam, Kostas Papafitsoros:
WildlifeDatasets: An open-source toolkit for animal re-identification. CoRR abs/2311.09118 (2023) - 2022
- [j3]Valerio Pagliari
, Kostas Papafitsoros
, Bogdan Raibta
, Andreas Vikelis:
Bilevel Training Schemes in Imaging for Total Variation-Type Functionals with Convex Integrands. SIAM J. Imaging Sci. 15(4): 1690-1728 (2022) - [i3]Kostas Papafitsoros, Lukás Adam, Vojtech Cermák, Lukás Picek:
SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification. CoRR abs/2211.10307 (2022) - 2021
- [i2]Valerio Pagliari, Kostas Papafitsoros, Bogdan Raita, Andreas Vikelis:
Bilevel training schemes in imaging for total-variation-type functionals with convex integrands. CoRR abs/2112.10682 (2021) - 2020
- [j2]Jörg Polzehl, Kostas Papafitsoros, Karsten Tabelow:
Patch-Wise Adaptive Weights Smoothing in R. J. Stat. Softw. 95(1) (2020) - [i1]Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros:
Optimization with learning-informed differential equation constraints and its applications. CoRR abs/2008.10893 (2020)
2010 – 2019
- 2019
- [j1]Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros
:
Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models. SIAM J. Imaging Sci. 12(2): 927-971 (2019)
Coauthor Index
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last updated on 2025-05-12 21:36 CEST by the dblp team
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