Kostas Papafitsoros

According to our database, Kostas Papafitsoros authored at least 24 papers between 2019 and 2026.

Collaborative distances:

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

2026

Centering Ecological Goals in Automated Identification of Individual Animals.

Lukás Picek, Timm Haucke, Lukás Adam, Ekaterina Nepovinnykh, Lasha Otarashvili, Kostas Papafitsoros, Tanya Y. Berger-Wolf, Michael B. Brown, Tilo Burghardt, Vojtech Cermák, Daniela Hedwig, Justin Kitzes, Sam Lapp, Subhransu Maji, Daniel I. Rubenstein, Arjun Subramonian, Charles V. Stewart, Silvia Zuffi, Sara Beery

CoRR, April, 2026

Degradation-based augmented training for robust individual animal re-identification.

Thanos Polychronou, Lukás Adam, Viktor Penchev, Kostas Papafitsoros

CoRR, March, 2026

Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries.

Joshua Schulz, David Schote, Christoph Kolbitsch, Kostas Papafitsoros, Andreas Kofler

CoRR, February, 2026

LifeCLEF 2026 Teaser: AI Challenges for Biodiversity Understanding and Ecosystem Management.

Alexis Joly, Lukás Picek, Stefan Kahl, Hervé Goëau, Lukás Adam, Robert Bossy, Kostas Papafitsoros, Vojtech Cermák, Holger Klinck, Willem-Pier Vellinga, Robert Planqué, Tom Denton, Laura Chrobak, Kevin Barnard, Claire Nédellec, Louise Deléger, Marine Courtin, Giulio Martellucci, Fabrice Vinatier, Pierre Bonnet

Proceedings of the Advances in Information Retrieval, 2026

2025

Learning Spatially Adaptive ℓ₁-Norms Weights for Convolutional Synthesis Regularization.

Andreas Kofler, Luca Calatroni, Christoph Kolbitsch, Kostas Papafitsoros

CoRR, March, 2025

Nested Bregman Iterations for Decomposition Problems.

Tobias Wolf, Derek Driggs, Kostas Papafitsoros, Elena Resmerita, Carola-Bibiane Schönlieb

SIAM J. Imaging Sci., 2025

Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems.

Lukás Adam, Kostas Papafitsoros, Claire Jean, Alan F. Rees, Vojtech Cermák

Ecol. Informatics, 2025

Deep Unrolling for Learning Optimal Spatially Varying Regularisation Parameters for Total Generalised Variation.

Thanh Trung Vu, Andreas Kofler, Kostas Papafitsoros

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

Why do we Regularise in Every Iteration for Imaging Inverse Problems?

Evangelos Papoutsellis, Zeljko Kereta, Kostas Papafitsoros

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

Learning Spatially Adaptive $\ell_{1}$-Norms Weights for Convolutional Synthesis Regularization.

Andreas Kofler, Luca Calatroni, Christoph Kolbitsch, Kostas Papafitsoros

Proceedings of the 33rd European Signal Processing Conference, 2025

LifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification.

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

Proceedings of the Advances in Information Retrieval, 2025

WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals.

Lukás Adam, Vojtech Cermák, Kostas Papafitsoros, Lukás Picek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Overview of LifeCLEF 2025: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification.

Lukás Picek, Stefan Kahl, Hervé Goëau, Lukás Adam, Théo Larcher, César Leblanc, Maximilien Servajean, Klára Janousková, Jirí Matas, Vojtech Cermák, Kostas Papafitsoros, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Juan Sebastián Cañas, Giulio Martellucci, Fabrice Vinatier, Pierre Bonnet, Alexis Joly

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2025

Overview of AnimalCLEF 2025: Recognizing Individual Animals in Images.

Lukás Adam, Kostas Papafitsoros, Roman Kovár, Vojtech Cermák, Lukás Picek

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

2024

A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives.

Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros

SIAM J. Optim., 2024

WildlifeDatasets: An open-source toolkit for animal re-identification.

Vojtech Cermák, Lukás Picek, Lukás Adam, Kostas Papafitsoros

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification.

Lukás Adam, Vojtech Cermák, Kostas Papafitsoros, Lukás Picek

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling.

Andreas Kofler, Fabian Altekrüger, Fatima Antarou Ba, Christoph Kolbitsch, Evangelos Papoutsellis, David Schote, Clemens Sirotenko, Felix Frederik Zimmermann, Kostas Papafitsoros

SIAM J. Imaging Sci., December, 2023

2022

Bilevel Training Schemes in Imaging for Total Variation-Type Functionals with Convex Integrands.

Valerio Pagliari, Kostas Papafitsoros, Bogdan Raibta, Andreas Vikelis

SIAM J. Imaging Sci., 2022

SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification.

Kostas Papafitsoros, Lukás Adam, Vojtech Cermák, Lukás Picek

CoRR, 2022

2021

Bilevel training schemes in imaging for total-variation-type functionals with convex integrands.

Valerio Pagliari, Kostas Papafitsoros, Bogdan Raita, Andreas Vikelis

CoRR, 2021

2020

Patch-Wise Adaptive Weights Smoothing in R.

Jörg Polzehl, Kostas Papafitsoros, Karsten Tabelow

J. Stat. Softw., 2020

Optimization with learning-informed differential equation constraints and its applications.

Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros

CoRR, 2020

2019

Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models.

Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros

SIAM J. Imaging Sci., 2019