Publications: DR Konstantinos Papafitsoros

Kofler A, Calatroni L, Kolbitsch C, Papafitsoros K . Learning Spatially Adaptive <tex>$\ell_{1}$</tex>-Norms Weights for Convolutional Synthesis Regularization . Conference: 2025 33rd European Signal Processing Conference (EUSIPCO)1782 - 1786 .

Adam L, Papafitsoros K, Jean C ( 2025 ) . Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems . Ecological Informatics vol. 89 ,

Kofler A, Calatroni L, Kolbitsch C, Papafitsoros K ( 2025 ) . Learning Spatially Adaptive $\ell_1$-Norms Weights for Convolutional Synthesis Regularization .

Wolf T, Driggs DT, Papafitsoros K, Resmerita E, Schönlieb C-B ( 2025 ) . Nested Bregman Iterations for Decomposition Problems . SIAM Journal on Imaging Sciences vol. 18 , ( 3 ) 1963 - 2007 .

Picek L, Kahl S, Goëau H, Adam L, Larcher T, Leblanc C, Servajean M, Janoušková K et al. ( 2025 ) . Overview of LifeCLEF 2025: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification . Experimental IR Meets Multilinguality, Multimodality, and Interaction , vol. 16089 , Springer Nature

Adam L, Čermák V, Papafitsoros K, Picek L ( 2025 ) . WildlifeReID-10k: Wildlife Re-Identification Dataset with 10k Individual Animals . Conference: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) vol. 00 , 2090 - 2100 .

Vu TT, Kofler A, Papafitsoros K ( 2025 ) . Deep Unrolling for Learning Optimal Spatially Varying Regularisation Parameters for Total Generalised Variation . Scale Space and Variational Methods in Computer Vision , vol. 15667 , Springer Nature

Papoutsellis E, Kereta Z, Papafitsoros K ( 2025 ) . Why do we Regularise in Every Iteration for Imaging Inverse Problems? . Scale Space and Variational Methods in Computer Vision , vol. 15667 , Springer Nature

Papafitsoros K ( 2025 ) . Creation of new flipper scales at a juvenile loggerhead sea turtle: Implications for photo-identification . MedTurtle Bulletin vol. 7 ,

Dong G, Hintermüller M, Papafitsoros K ( 2025 ) . First-Order Conditions for the Optimal Control of Learning-Informed Nonsmooth PDEs . Numerical Functional Analysis and Optimization vol. 46 , ( 7 ) 505 - 539 .

Wolf T, Driggs D, Papafitsoros K, Resmerita E, Schönlieb C-B ( 2025 ) . Nested Bregman Iterations for Decomposition Problems .

Adam L, Čermák V, Papafitsoros K, Picek L ( 2025 ) . WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals .

Joly A, Picek L, Kahl S, Goëau H, Adam L, Botella C, Servajean M, Marcos D et al. ( 2025 ) . LifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification . Advances in Information Retrieval , vol. 15576 , Springer Nature

Vu TT, Kofler A, Papafitsoros K ( 2025 ) . Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation .

Adam L, Papafitsoros K, Kovář R, Čermák V, Picek L ( 2025 ) . Overview of AnimalCLEF 2025: Recognizing Individual Animals in Images . Ceur Workshop Proceedings . vol. 4038 , 2898 - 2908 .

Bubba TA, Gaburro R, Gazzola S, Papafitsoros K, Pereyra M, Schönlieb CB ( 2025 ) . Preface . Lecture Notes in Computer Science vol. 15667 LNCS ,

Dong G, Flaschel M, Papafitsoros K, Sirotenko C ( 2024 ) . Data‐driven methods for quantitative imaging . GAMM-Mitteilungen vol. 48 , ( 1 )

Papoutsellis E, Kereta Z, Papafitsoros K ( 2024 ) . Why do we regularise in every iteration for imaging inverse problems? .

Dong G, Hintermüller M, Papafitsoros K ( 2024 ) . A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives . SIAM Journal on Optimization vol. 34 , ( 3 ) 2314 - 2349 .

Adam L, Adam L, Papafitsoros K, Picek L ( 2024 ) . SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification .

Adam L, Čermák V, Papafitsoros K, Picek L ( 2024 ) . SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification .

Dong G, Flaschel M, Hintermüller M, Papafitsoros K, Sirotenko C, Tabelow K ( 2024 ) . Data-driven methods for quantitative imaging .

Kofler A, Zimmermann FF, Papafitsoros K ( 2024 ) . Machine Learning for Quantitative MR Image Reconstruction .

Adam L, Čermák V, Papafitsoros K ( 2024 ) . SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification . Conference: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) vol. 00 , 7131 - 7141 .

Čermák V, Adam L, Papafitsoros K ( 2024 ) . WildlifeDatasets: An open-source toolkit for animal re-identification . Conference: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) vol. 00 , 5941 - 5951 .

Čermák V, Picek L, Adam L, Papafitsoros K ( 2023 ) . WildlifeDatasets: An open-source toolkit for animal re-identification .

Kofler A, Altekrüger F, Antarou Ba F, Kolbitsch C, Papoutsellis E, Schote D, Sirotenko C ( 2023 ) . Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling . SIAM Journal on Imaging Sciences vol. 16 , ( 4 ) 2202 - 2246 .

Kofler A, Sirotenko C, Zimmermann F, Schote D, Kolbitsch C, Ba F, Altekrüger F, Papoutsellis E et al. . CNN-based Estimation of Spatio-Temporal Regularization Parameter-Maps for TV-Reconstruction in Dynamic Cardiac MRI . Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. . Conference: 2023 ISMRM & ISMRT Annual Meeting

Kofler A, Altekrüger F, Ba FA, Kolbitsch C, Papoutsellis E, Schote D, Sirotenko C, Zimmermann FF et al. ( 2023 ) . Unrolled three-operator splitting for parameter-map learning in Low Dose X-ray CT reconstruction .

Papafitsoros K, Adam L, Schofield G ( 2023 ) . A social media-based framework for quantifying temporal changes to wildlife viewing intensity . Ecological Modelling vol. 476 ,

Kofler A, Altekrüger F, Ba FA, Kolbitsch C, Papoutsellis E, Schote D ( 2023 ) . Learning Regularization Parameter-Maps for Variational Image Reconstruction using Deep Neural Networks and Algorithm Unrolling .

Dong G, Hintermüller M, Papafitsoros K ( 2022 ) . First-order conditions for the optimal control of learning-informed nonsmooth PDEs .

Dong G, Papafitsoros K ( 2022 ) . A descent algorithm for the optimal control of ReLU neural network informed PDEs based on approximate directional derivatives .

Pagliari V, Papafitsoros K, Raib̧tă B, Vikelis A ( 2022 ) . Bilevel Training Schemes in Imaging for Total Variation--Type Functionals with Convex Integrands . SIAM Journal on Imaging Sciences vol. 15 , ( 4 ) 1690 - 1728 .

Schofield G, Papafitsoros K, Chapman C, Shah A, Westover L, Katselidis KA ( 2022 ) . More aggressive sea turtles win fights over foraging resources independent of body size and years of presence . Animal Behaviour vol. 190 , 209 - 219 .

Hintermüller M, Papafitsoros K, Rautenberg CN ( 2022 ) . Dualization and Automatic Distributed Parameter Selection of Total Generalized Variation via Bilevel Optimization . Numerical Functional Analysis and Optimization vol. 43 , ( 8 ) 887 - 932 .

Papafitsoros K, Dimitriadis C, Schofield G ( 2022 ) . Photo‐identification confirms polyandry in loggerhead sea turtles . Marine Ecology vol. 43 , ( 2 )

Dong G, Hintermüller M, Papafitsoros K ( 2022 ) . Optimization with learning-informed differential equation constraints and its applications★★★ . ESAIM Control Optimisation and Calculus of Variations vol. 28 ,

Pagliari V, Papafitsoros K ( 2021 ) . Bilevel training schemes in imaging for total-variation-type functionals with convex integrands .

Hintermüller M, Papafitsoros K ( 2021 ) . Dualization and Automatic Distributed Parameter Selection of Total Generalized Variation via Bilevel Optimization .

Papafitsoros K, Panagopoulou A ( 2020 ) . Social media reveals consistently disproportionate tourism pressure on a threatened marine vertebrate . Animal Conservation vol. 24 , ( 4 ) 568 - 579 .

Dong G, Hintermueller M ( 2020 ) . Optimization with learning-informed differential equation constraints and its applications .

Schofield G, Klaassen M, Lilley MKS ( 2020 ) . Long‐term photo‐id and satellite tracking reveal sex‐biased survival linked to movements in an endangered species . Ecology vol. 101 , ( 7 )

Polzehl J, Papafitsoros K, Tabelow K ( 2020 ) . Patch-Wise Adaptive Weights Smoothing in R . Journal of Statistical Software vol. 95 , ( 6 )

Hintermüller M, Papafitsoros K ( 2019 ) . Variable step mollifiers and applications .

Calatroni L ( 2019 ) . Analysis and automatic parameter selection of a variational model for mixed Gaussian and salt-and-pepper noise removal . Inverse Problems vol. 35 , ( 11 )

Dong G, Hintermüller M ( 2019 ) . Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models . SIAM Journal on Imaging Sciences vol. 12 , ( 2 ) 927 - 971 .

Dong G, Hintermüller M ( 2019 ) . Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models .

Hintermüller M ( 2019 ) . Chapter 11 Generating structured nonsmooth priors and associated primal-dual methods . Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 , vol. 20 , Elsevier

Calatroni L, Papafitsoros K ( 2018 ) . Analysis and optimisation of a variational model for mixed Gaussian and Salt & Pepper noise removal .

Hintermüller M, Holler M ( 2018 ) . A function space framework for structural total variation regularization with applications in inverse problems . Inverse Problems vol. 34 , ( 6 )

Dujon AM, Schofield G, Lester RE ( 2018 ) . Complex movement patterns by foraging loggerhead sea turtles outside the breeding season identified using Argos‐linked Fastloc‐Global Positioning System . Marine Ecology vol. 39 , ( 1 )

Hintermüller M, Holler M ( 2017 ) . A function space framework for structural total variation regularization with applications in inverse problems .

Hintermüller M, Papafitsoros K, Rautenberg CN ( 2017 ) . Analytical aspects of spatially adapted total variation regularisation . Journal of Mathematical Analysis and Applications vol. 454 , ( 2 ) 891 - 935 .

Schofield G, Papafitsoros K, Haughey R ( 2017 ) . Aerial and underwater surveys reveal temporal variation in cleaning-station use by sea turtles at a temperate breeding area . Marine Ecology Progress Series vol. 575 , 153 - 164 .

Burger M, Papafitsoros K, Schönlieb C-B ( 2016 ) . Infimal Convolution Regularisation Functionals of and Spaces. The Case . IFIP Advances in Information and Communication Technology . vol. 494 , 169 - 179 .

Hintermüller M, Papafitsoros K ( 2016 ) . Analytical aspects of spatially adapted total variation regularisation .

Burger M, Papoutsellis E ( 2016 ) . Infimal Convolution Regularisation Functionals of BV and Lp Spaces . Journal of Mathematical Imaging and Vision vol. 55 , ( 3 ) 343 - 369 .

Lellmann J, Papafitsoros K, Schönlieb C ( 2015 ) . Analysis and Application of a Nonlocal Hessian . SIAM Journal on Imaging Sciences vol. 8 , ( 4 ) 2161 - 2202 .

Papafitsoros K ( 2015 ) . Asymptotic Behaviour of Total Generalised Variation . Lecture Notes in Computer Science . vol. 9087 , 702 - 714 .

Papafitsoros K, Valkonen T ( 2015 ) . Asymptotic behaviour of total generalised variation .

Papafitsoros K ( 2015 ) . A study of the one dimensional total generalised variation regularisation problem . Inverse Problems and Imaging vol. 9 , ( 2 ) 511 - 550 .

Lellmann J, Papafitsoros K, Schoenlieb C ( 2014 ) . Analysis and Application of a non-local Hessian .

Papafitsoros K, Bredies K ( 2013 ) . A study of the one dimensional total generalised variation regularisation problem .

Papafitsoros K, Schönlieb CB ( 2013 ) . A Combined First and Second Order Variational Approach for Image Reconstruction . Journal of Mathematical Imaging and Vision vol. 48 , ( 2 ) 308 - 338 .

Papafitsoros K, Schönlieb C-B ( 2012 ) . A combined first and second order variational approach for image reconstruction .

Kofler A, Papafitsoros K ( 2012 ) . Machine Learning for Quantitative Magnetic Resonance Image Reconstruction . Quantification of Biophysical Parameters in Medical Imaging , Springer Nature

Papafitsoros K, Adam L . A social media-based framework for quantifying temporal changes to wildlife viewing intensity: Case study of sea turtles before and during COVID-19 .

Adam L, Papafitsoros K, Jean C, Rees AF . Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems .

Papafitsoros K, Hoh D, Köhnk S, Montagna M, Witzmann J . Sea Turtle Photo Identification: A Practical Guide . MTSG manual on Research and Management Techniques for the Conservation of Sea Turtles

Papafitsoros K . Social media mining and photo-identification detects the shift of long-term seasonal foraging habitat for a juvenile loggerhead sea turtle .

Papafitsoros K, Panagopoulou A . Social media reveals consistently disproportionate tourism pressure on a threatened marine vertebrate .

Papafitsoros K . Underreported in-water behaviours of the loggerhead sea turtle: Foraging on sea cucumbers .

Papafitsoros K . Underreported in-water behaviours of the loggerhead sea turtle: Getting buried in the sand .