Nonlocal Methods for Arbitrary Data Sources

Rezultaty

Publication of elaborated Wikipedia articles for nonlocal methods

We will write elaborated articles on the English Wikipedia website to transfer knowledge about nonlocal methods to the public.

Publication of educative MATLAB tutorials on MathWorks FileExchange

We will publish MATLAB tutorials and educative software examples on the MATLAB exchange platform to transfer knowledge about nonlocal methods to programmers

Publication of online lecture notes on nonlocal methods for different audiences

We will publish lecture notes on nonlocal methods both in the discrete as well as continuous setting for different audiences, e.g., mathematiciens and engineers.

Publication of new mathematical findings (WP 1-4) in scientific journals and international conferences

We will publish the findings of Work Packages 15 in highlyrecognized journals and international conferences and aim for Open Access publishment where feasible

Implementation of a comprehensive open source library for graph-based models on GPGPUs

We will establish an open source implementation for working on discrete data using finite weighted graphs with parallelization support for GPGPUs.

Publikacje

Variational regularisation for inverse problems with imperfect forward operators and general noise models

Autorzy: Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb
Opublikowane w: Inverse Problems, Numer 36/12, 2020, Strona(/y) 125014, ISSN 0266-5611
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6420/abc531

Learning new physics efficiently with nonparametric methods

Autorzy: Letizia, Marco; Losapio, Gianvito; Rando, Marco; Grosso, Gaia; Wulzer, Andrea; Pierini, Maurizio; Zanetti, Marco; Rosasco, Lorenzo
Opublikowane w: The European Physical Journal C, Numer 82.10, 2022, ISSN 1434-6052
Wydawca: Springer
DOI: 10.1140/epjc/s10052-022-10830-y

Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates

Autorzy: Jeff Calder, Dejan Slepcev and Matthew Thorpe
Opublikowane w: Research in the Mathematical Sciences, Numer 10.1, 2023, ISSN 2522-0144
Wydawca: SpringerOpen
DOI: 10.1007/s40687-022-00371-x

COL0RME: Super-resolution microscopy based on sparse blinking/fluctuating fluorophore localization and intensity estimation

Autorzy: Stergiopoulou, Vasiliki; Calatroni, Luca; de Morais Goulart, Henrique; Schaub, Sébastien; Blanc-Féraud, Laure
Opublikowane w: Biological Imaging, Numer 2.E1, 2022, ISSN 2633-903X
Wydawca: Cambridge University Press
DOI: 10.1017/s2633903x22000010

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization

Autorzy: Driggs, Derek; Tang, Junqi; Liang, Jingwei; Davies, Mike; Schönlieb, Carola-Bibiane
Opublikowane w: SIAM Journal on Imaging Sciences, Numer 14.4, 2021, Strona(/y) 1932--1970, ISSN 1936-4954
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1387213

Continuum limit of p-Laplacian evolution problems on graphs:Lq graphons and sparse graphs

Autorzy: I. El Bouchairi, M.J. Fadili, A. Elmoataz
Opublikowane w: ESAIM: Mathematical Modelling and Numerical Analysis, Numer 57.3, 2023, Strona(/y) 1795--1838, ISSN 0764-583X
Wydawca: EDP Sciences
DOI: 10.1051/m2an/2023006

Network Structured Kinetic Models of Social Interactions.

Autorzy: Martin Burger
Opublikowane w: Vietnam Journal of Mathematics, Numer 49.3, 2021, Strona(/y) 937-956, ISSN 2305-2228
Wydawca: Springer
DOI: 10.1007/s10013-021-00505-8

On and beyond Total Variation regularisation in imaging: the role of space variance

Autorzy: Pragliola, Monica; Calatroni, Luca; Lanza, Alessandro; Sgallari, Fiorella
Opublikowane w: SIAM Review, Numer 65.3, 2023, Strona(/y) 601-685, ISSN 0036-1445
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1410683

On Learned Operator Correction in Inverse Problems

Autorzy: Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon Arridge
Opublikowane w: SIAM Journal on Imaging Sciences, Numer 14/1, 2021, Strona(/y) 92-127, ISSN 1936-4954
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1338460

A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation

Autorzy: R Ke, A Aviles-Rivero, S Pandey, S Reddy, CB Schönlieb
Opublikowane w: IEEE Transactions on Image Processing, Numer 31, 2022, Strona(/y) 1805 - 1815, ISSN 1057-7149
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2022.3144036

ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems

Autorzy: Pragliola, Monica; Calatroni, Luca; Lanza, Alessandro; Sgallari, Fiorella
Opublikowane w: Journal of Mathematical Imaging and Vision, Numer 65.1, 2022, Strona(/y) 99--123, ISSN 0924-9907
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10851-022-01110-1

Continuum Limit of Lipschitz Learning on Graphs

Autorzy: Tim Roith, Leon Bungert
Opublikowane w: Foundations of Computational Mathematics, Numer 23.2, 2020, Strona(/y) 393-431, ISSN 1615-3375
Wydawca: Springer Verlag
DOI: 10.1007/s10208-022-09557-9

On Anisotropic Optical Flow Inpainting Algorithms

Autorzy: Lara Raad; Maria Oliver; Coloma Ballester; Gloria Haro; Enric Meinhardt
Opublikowane w: Image Processing On Line, Numer 1, 2020, Strona(/y) 78--104, ISSN 2105-1232
Wydawca: IPOL Image Processing On Line & the authors
DOI: 10.5201/ipol.2020.281

Convergence rates of the Heavy-Ball method for quasi-strongly convex optimization

Autorzy: Aujol, Jean-François; Dossal, Charles,; Rondepierre, Aude
Opublikowane w: SIAM Journal on Optimization, Numer 32.3, 2022, Strona(/y) 1817--1842, ISSN 1052-6234
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1403990

Towards soccer pass feasibility maps: the role of players' orientation

Autorzy: Arbués-Sangüesa, Adrià; Martín, Adrián; Fernández, Javier; Haro, Gloria; Ballester, Coloma
Opublikowane w: Journal of Sports Sciences, Numer 39.24, 2021, Strona(/y) 2772--2785, ISSN 0264-0414
Wydawca: Taylor & Francis
DOI: 10.1080/02640414.2021.1959176

Deep limits of residual neural networks

Autorzy: M. Thorpe, Y. van Gennip
Opublikowane w: Research in the Mathematical Sciences, Numer 10.1, 2022, ISSN 2197-9847
Wydawca: SpringerOpen
DOI: 10.1007/s40687-022-00370-y

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning

Autorzy: Maureen van Eijnatten, Leonardo Rundo, K. Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek
Opublikowane w: Computer Methods and Programs in Biomedicine, Numer 208, 2021, Strona(/y) 106261, ISSN 0169-2607
Wydawca: Elsevier BV
DOI: 10.1016/j.cmpb.2021.106261

The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT

Autorzy: Liu, Lu; Ma, Runlei; van Ooijen, Peter M. A.; Oudkerk, Matthijs; Vliegenthart, Rozemarijn; Veldhuis, Raymond N. J.; Brune, Christoph
Opublikowane w: Technologies, Numer 11.4, 2023, Strona(/y) 104, ISSN 2227-7080
Wydawca: MDPI
DOI: 10.3390/technologies11040104

From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds

Autorzy: Trillos, Nicolas Garcia; Murray, Ryan; Thorpe, Matthew
Opublikowane w: Archive for Rational Mechanics and Analysis, Numer 244.3, 2022, Strona(/y) 541-598, ISSN 0003-9527
Wydawca: Springer Verlag
DOI: 10.1007/s00205-022-01770-8

Modular-Proximal Gradient Algorithms in Variable Exponent Lebesgue Spaces

Autorzy: Lazzaretti, Marta; Calatroni, Luca; Estatico, Claudio
Opublikowane w: SIAM Journal on Scientific Computing, Numer 44.6, 2022, Strona(/y) A3463-A3489, ISSN 1064-8275
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1464336

Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization

Autorzy: Traoré, Cheik; Salzo, Saverio; Villa, Silvia
Opublikowane w: Computational Optimization and Applications, Numer 86.1, 2023, Strona(/y) 303-344, ISSN 0926-6003
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10589-023-00489-w

Structural analysis of an L-infinity variationalproblem and relations to distance functions

Autorzy: Leon Bungert, Yury Korolev, Martin Burger
Opublikowane w: Pure and Applied Analysis, Numer 2/3, 2020, Strona(/y) 703-738, ISSN 2578-5885
Wydawca: Mathematical Science Publishers
DOI: 10.2140/paa.2020.2.703

"Improving ""Fast Iterative Shrinkage-Thresholding Algorithm"": Faster, Smarter, and Greedier"

Autorzy: Liang, Jingwei; Luo, Tao; Schönlieb, Carola-Bibiane
Opublikowane w: {SIAM} Journal on Scientific Computing, Numer 44.3, 2022, Strona(/y) A1069-A1091, ISSN 1064-8275
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1395685

An elementary analysis of ridge regression with random design

Autorzy: Mourtada, Jaouad; Rosasco, Lorenzo
Opublikowane w: Comptes Rendus. Math{\'{e}}matique, Numer 360.G9, 2022, Strona(/y) 1055--1063, ISSN 1631-073X
Wydawca: Elsevier Masson
DOI: 10.5802/crmath.367

Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation

Autorzy: Mylonopoulos, Dario; Cascarano, Pasquale; Calatroni, Luca; Piccolomini, Elena Loli
Opublikowane w: Image Processing On Line, Numer 12, 2022, Strona(/y) 92--110, ISSN 2105-1232
Wydawca: Image Processing On Line & the authors
DOI: 10.5201/ipol.2022.393

Learning phase field mean curvature flows with neural networks

Autorzy: Bretin, Elie; Denis, Roland; Masnou, Simon; Terii, Garry
Opublikowane w: Journal of Computational Physics, Numer 470, 2022, Strona(/y) 111579, ISSN 0021-9991
Wydawca: Academic Press
DOI: 10.1016/j.jcp.2022.111579

Fast and stable schemes for non-linear osmosis filtering

Autorzy: Calatroni, L.; Morigi, S.; Parisotto, S.; Recupero, G. A.
Opublikowane w: Computers & Mathematics with Applications, Numer 133, 2023, Strona(/y) 30-47, ISSN 0898-1221
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.camwa.2022.12.015

Joint reconstruction-segmentation on graphs

Autorzy: Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb
Opublikowane w: SIAM Journal on Imaging Sciences, Numer 16.2, 2023, Strona(/y) 911-947, ISSN 1936-4954
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/22m151546x

Modes of Homogeneous Gradient Flows

Autorzy: Ido Cohen; Omri Azencot; Pavel Lifshits; Guy Gilboa
Opublikowane w: SIAM Journal on Imaging Sciences, Numer 14.3, 2021, Strona(/y) 913--945, ISSN 1936-4954
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.13140/rg.2.2.28495.71848

Autophosphorylation and the dynamics of the activation of Lck

Autorzy: Lisa Maria Kreusser, Alan D. Rendall
Opublikowane w: Bulletin of Mathematical Biology, Numer 83.6, 2021, ISSN 0092-8240
Wydawca: Academic Press
DOI: 10.1007/s11538-021-00900-9

A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation

Autorzy: Riis, Erlend S.; Ehrhardt, Matthias J.; Quispel, G. R. W.; Schönlieb, Carola-Bibiane
Opublikowane w: Foundations of Computational Mathematics, Numer 22.5, 2021, Strona(/y) 1351--1394, ISSN 1615-3375
Wydawca: Springer Verlag
DOI: 10.1007/s10208-020-09489-2

Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography

Autorzy: Achim, Alin; Calatroni, Luca; Morigi, Serena; Scrivanti, Gabriele
Opublikowane w: Signal Processing, Numer 205, 2023, Strona(/y) 108866, ISSN 0165-1684
Wydawca: Elsevier BV
DOI: 10.1016/j.sigpro.2022.108866

FISTA is an automatic geometrically optimized algorithm for strongly convex functions

Autorzy: J-F Aujol, C. Dossal, and A. Rondepierre
Opublikowane w: Mathematical Programming, 2023, ISSN 0025-5610
Wydawca: Springer Verlag
DOI: 10.1007/s10107-023-01960-6

Mean-field optimal control for biological pattern formation

Autorzy: Burger, Martin; Kreusser, Lisa Maria; Totzeck, Claudia
Opublikowane w: ESAIM: Control, Optimisation and Calculus of Variations, Numer 27, 2021, Strona(/y) 40, ISSN 1292-8119
Wydawca: EDP Sciences
DOI: 10.1051/cocv/2021034

Unsupervised clustering of Roman potsherds via Variational Autoencoders

Autorzy: Parisotto, Simone; Leone, Ninetta; Schönlieb, Carola-Bibiane; Launaro, Alessandro
Opublikowane w: Journal of Archaeological Science, Numer 142, 2022, Strona(/y) 105598, ISSN 0305-4403
Wydawca: Academic Press
DOI: 10.1016/j.jas.2022.105598

A Bregman Learning Framework for Sparse Neural Networks

Autorzy: Bungert, Leon; Roith, Tim; Tenbrinck, Daniel; Burger, Martin
Opublikowane w: Journal of Machine Learning Research, Numer 23.192, 2022, ISSN 1533-7928
Wydawca: Journal of Machine Learning Research
DOI: 10.48550/arxiv.2105.04319

imaging with equivariant deep learning: from unrolled network design to fully unsupervised learning

Autorzy: Chen, Dongdong; Davies, Mike; Ehrhardt, Matthias J.; Schonlieb, Carola-Bibiane; Sherry, Ferdia; Tachella, Julian
Opublikowane w: IEEE Signal Processing Magazine, Numer 40.1, 2023, Strona(/y) 134--147, ISSN 1053-5888
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2022.3205430

Unsupervised Image Restoration Using Partially Linear Denoisers

Autorzy: R Ke, CB Schönlieb
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numer 44.9, 2021, Strona(/y) 5796 -- 5812, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2021.3070382

On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning

Autorzy: Ferigo, Diego; Camoriano, Raffaello; Viceconte, Paolo Maria; Calandriello, Daniele; Traversaro, Silvio; Rosasco, Lorenzo; Pucci, Daniele
Opublikowane w: IEEE Robotics and Automation Letters, Numer 6.4, 2021, Strona(/y) 8561--8568, ISSN 2377-3766
Wydawca: IEEE
DOI: 10.1109/lra.2021.3076955

Convergence rates of the Heavy-Ball method with Lojasiewicz property

Autorzy: Aujol, J-F; Dossal, Ch; Rondepierre, Aude
Opublikowane w: Mathematical Programming, Numer 198.1, 2022, Strona(/y) 195-254, ISSN 0025-5610
Wydawca: Springer Verlag
DOI: 10.1007/s10107-022-01770-2

Zeroth-order optimization with orthogonal random directions

Autorzy: Kozak, David; Molinari, Cesare; Rosasco, Lorenzo; Tenorio, Luis; Villa, Silvia
Opublikowane w: Mathematical Programming, Numer 199.1-2, 2022, Strona(/y) 1179--1219, ISSN 0025-5610
Wydawca: Springer Verlag
DOI: 10.1007/s10107-022-01866-9

Anatomy-aided deep learning for medical image segmentation: a review

Autorzy: Liu, Lu; Wolterink, Jelmer M.; Brune, Christoph; Veldhuis, Raymond N. J.
Opublikowane w: Physics in Medicine & Biology, Numer 66.11, 2021, Strona(/y) 11TR01, ISSN 1361-6560
Wydawca: IOP Publishing
DOI: 10.1088/1361-6560/abfbf4

Mumford–Shah functionals on graphs and their asymptotics

Autorzy: Marco Caroccia, Antonin Chambolle, Dejan Slepčev
Opublikowane w: Nonlinearity, Numer 33/8, 2020, Strona(/y) 3846-3888, ISSN 0951-7715
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6544/ab81ee

Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks

Autorzy: R. Ke, A. Bugeau, N. Papadakis, M. Kirkland, P. Schuetz and C. -B. Schönlieb
Opublikowane w: IEEE Transactions on Image Processing, Numer 30, 2021, Strona(/y) 3555-3567, ISSN 1057-7149
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2021.3062726

Continuum Limits of Nonlocal $p$-Laplacian Variational Problems on Graphs

Autorzy: Yosra Hafiene; Jalal M. Fadili; Abderrahim Elmoataz
Opublikowane w: SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2019, Numer 39, 2019, Strona(/y) 1772--1807, ISSN 1936-4954
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1223927

Robust Image Reconstruction With Misaligned Structural Information

Autorzy: Leon Bungert, Matthias J. Ehrhardt
Opublikowane w: IEEE Access, Numer 8, 2020, Strona(/y) 222944-222955, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3043638

Mass-conserving diffusion-based dynamics on graphs

Autorzy: Budd, Jeremy; van Gennip, Yves
Opublikowane w: European Journal of Applied Mathematics, Numer 33.3, 2021, Strona(/y) 423--471, ISSN 0956-7925
Wydawca: Cambridge University Press
DOI: 10.1017/s0956792521000061

Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel

Autorzy: De Vito, Ernesto; Kereta, Zeljko; Naumova, Valeriya; Rosasco, Lorenzo; Vigogna, Stefano
Opublikowane w: Journal of Fourier Analysis and Applications, Numer 27.2, 2021, ISSN 1069-5869
Wydawca: Birkhaeuser
DOI: 10.1007/s00041-021-09835-0

Monitoring early-successional trees for tropical forest restoration using low-cost UAV-based species classification

Autorzy: Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield, Bambang Irawan, Eva Achmad, Muhammad Zudhi, Habibi, Elva Gemita, David A. Coomes
Opublikowane w: Frontiers in Forests and Global Change, Numer 5, 2022, ISSN 2624-893X
Wydawca: Frontiers Media S.A.
DOI: 10.3389/ffgc.2022.876448

Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution

Autorzy: Veronica Corona, Angelica Aviles-Rivero, Noémie Debroux, Carole Le Guyader, Carola-Bibiane Schönlieb
Opublikowane w: Medical Image Analysis, Numer 68, 2021, Strona(/y) 101941, ISSN 1361-8415
Wydawca: Elsevier BV
DOI: 10.1016/j.media.2020.101941

Duality Theory and a Primal-Dual Algorithm on Riemannian Manifolds

Autorzy: Ronny Bergmann, Roland Herzog, Maurício Silva Louzeiro, Daniel Tenbrinck, José Vidal-Núñez
Opublikowane w: Foundations of Computational Mathematics, 2021, ISSN 1615-3375
Wydawca: Springer Verlag
DOI: 10.1007/s10208-020-09486-5

Ground Truth Free Denoising by Optimal Transport

Autorzy: Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass
Opublikowane w: Numerical Algebra, Control and Optimization, 2020, ISSN 2155-3289
Wydawca: American Institute of Mathematical Sciences
DOI: 10.3934/naco.2022017

Classification and image processing with a semi-discrete scheme for fidelity forced Allen--Cahn on graphs

Autorzy: Jeremy Budd, Yves van Gennip, and Jonas Latz
Opublikowane w: GAMM-Mitteilungen, Numer 44.1, 2021, ISSN 1522-2608
Wydawca: Wiley-VCH
DOI: 10.1002/gamm.202100004

GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays

Autorzy: A. I Aviles-Rivero, P. Sellars, C.B. Schönlieb , N. Papadakis
Opublikowane w: Pattern Recognition, Numer 122, 2022, Strona(/y) 108274, ISSN 0031-3203
Wydawca: Pergamon Press
DOI: 10.1016/j.patcog.2021.108274

Fluorescence image deconvolution microscopy via generative adversarial learning (FluoGAN)

Autorzy: Mayeul Cachia; Vasiliki Stergiopoulou; Luca Calatroni; Sebastien Schaub; Laure Blanc-Féraud
Opublikowane w: Inverse Problems, Numer 39.5, 2023, Strona(/y) 054006, ISSN 0266-5611
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6420/acc889

Graph MBO on Star Graphs and Regular Trees. With Corrections to DOI 10.1007/s00032-014-0216-8

Autorzy: Yves van Gennip
Opublikowane w: Milan Journal of Mathematics, Numer 87/1, 2019, Strona(/y) 141-168, ISSN 1424-9286
Wydawca: Birkhauser Verlag
DOI: 10.1007/s00032-019-00296-1

An Analysis and Speedup of the FALDOI Method for Optical Flow Estimation

Autorzy: Ferran P. Gamonal, Coloma Ballester, Gloria Haro, Enric Meinhardt-Llopis, Roberto P. Palomares
Opublikowane w: Image Processing On Line, Numer 9, 2019, Strona(/y) 94-123, ISSN 2105-1232
Wydawca: IPOL & the authors
DOI: 10.5201/ipol.2019.238

Anisotropic osmosis filtering for shadow removal in images

Autorzy: Simone Parisotto, Luca Calatroni, Marco Caliari, Carola-Bibiane Schönlieb, Joachim Weickert
Opublikowane w: Inverse Problems, Numer 35/5, 2019, Strona(/y) 054001, ISSN 0266-5611
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab08d2

Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts

Autorzy: Luca Calatroni, Marie d’Autume, Rob Hocking, Stella Panayotova, Simone Parisotto, Paola Ricciardi, Carola-Bibiane Schönlieb
Opublikowane w: Heritage Science, Numer 6/1, 2018, ISSN 2050-7445
Wydawca: BioMed Central Ltd
DOI: 10.1186/s40494-018-0216-z

Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals

Autorzy: Jean-Franois Aujol, Guy Gilboa, Nicolas Papadakis
Opublikowane w: SIAM Journal on Imaging Sciences, Numer 11/2, 2018, Strona(/y) 1416-1440, ISSN 1936-4954
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1139126

Rayleigh quotient minimization for absolutely one-homogeneous functionals

Autorzy: Tal Feld, Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
Opublikowane w: Inverse Problems, Numer 35/6, 2019, Strona(/y) 064003, ISSN 0266-5611
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab0cb2

An Affine Invariant Patch Similarity

Autorzy: Vadim Fedorov, Coloma Ballester
Opublikowane w: Image Processing On Line, Numer 8, 2018, Strona(/y) 490-513, ISSN 2105-1232
Wydawca: IPOL & the authors
DOI: 10.5201/ipol.2018.202

Automatic Flare Spot Artifact Detection and Removal in Photographs

Autorzy: Patricia Vitoria, Coloma Ballester
Opublikowane w: Journal of Mathematical Imaging and Vision, Numer 61/4, 2019, Strona(/y) 515-533, ISSN 0924-9907
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10851-018-0859-0

Thresholding gradient methods in Hilbert spaces: support identification and linear convergence

Autorzy: Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Opublikowane w: ESAIM: Control, Optimisation and Calculus of Variations, 2019, ISSN 1292-8119
Wydawca: EDP Sciences
DOI: 10.1051/cocv/2019011

Solution paths of variational regularization methods for inverse problems

Autorzy: Leon Bungert, Martin Burger
Opublikowane w: Inverse Problems, Numer 35/10, 2019, Strona(/y) 105012, ISSN 0266-5611
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab1d71

An entropic Landweber method for linear ill-posed problems

Autorzy: M Burger, E Resmerita, M Benning
Opublikowane w: Inverse Problems, Numer 36/1, 2020, Strona(/y) 015009, ISSN 0266-5611
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab5c49

Asymptotic profiles of nonlinear homogeneous evolution equations of gradient flow type

Autorzy: Leon Bungert, Martin Burger
Opublikowane w: Journal of Evolution Equations, 2019, ISSN 1424-3199
Wydawca: Birkhauser Verlag
DOI: 10.1007/s00028-019-00545-1

Nonlocal $p$-Laplacian Evolution Problems on Graphs

Autorzy: Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz
Opublikowane w: SIAM Journal on Numerical Analysis, Numer 56/2, 2018, Strona(/y) 1064-1090, ISSN 0036-1429
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1123596

Continuum limit of the nonlocal p -Laplacian evolution problem on random inhomogeneous graphs

Autorzy: Yosra Hafiene, Jalal M. Fadili, Christophe Chesneau, Abderrahim Elmoataz
Opublikowane w: ESAIM: Mathematical Modelling and Numerical Analysis, Numer 54/2, 2020, Strona(/y) 565-589, ISSN 0764-583X
Wydawca: EDP Sciences
DOI: 10.1051/m2an/2019066

Partial differential equations and variational methods for geometric processing of images

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Common Pitfalls and Recommendations for Using Machine Learning to Detect and Prognosticate for COVID-19 Using Chest Radiographs and CT Scans

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A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch

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Learning Football Body-Orientation as a Matter of Classification

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Graph Based Semi-supervised Learning Using Spatial Segregation Theory

Autorzy: Bozorgnia, Farid; Fotouhi, Morteza; Arakelyan, Avetik; Elmoataz, Abderrahim
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The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme

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Uniqueness of a solution to a general class of discrete system defined on connected graphs

Autorzy: Arakelyan, Avetik; Bozorgnia, Farid
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Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation

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Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels

Autorzy: Weihs, Adrien; Thorpe, Matthew
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On anisotropic diffusion equations for label propagation

Autorzy: Lisa Maria Kreusser, Marie-Therese Wolfram
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Contrastive Registration for Unsupervised Medical Image Segmentation

Autorzy: L Liu, AI Aviles-Rivero, CB Schönlieb
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Duality for Neural Networks through Reproducing Kernel Banach Spaces

Autorzy: Spek, Len; Heeringa, Tjeerd Jan; Schwenninger, Felix; Brune, Christoph
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A sparse optimization approach to infinite infimal convolution regularization

Autorzy: Bredies, Kristian; Carioni, Marcello; Holler, Martin; Korolev, Yury; Schönlieb, Carola-Bibiane
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Minimizing Quotient Regularization Model

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Proximal Langevin Sampling with Inexact Proximal Mapping

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Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition

Autorzy: Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio, Pablo Musé, José Lezama
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FISTA restart using an automatic estimation of the growth parameter

Autorzy: Aujol, Jean-François; Dossal, Charles H.; Labarrière, Hippolyte; Rondepierre, Aude
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Approximation of Wasserstein distance with Transshipment

Autorzy: Papadakis, Nicolas
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PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds

Autorzy: Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
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Total Variation Regularisation with Spatially Variable Lipschitz Constraints

Autorzy: Martin Burger, Yury Korolev, Simone Parisotto, Carola-Bibiane Schönlieb
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Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian

Autorzy: Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Samar M Alsaleh, Robby T Tan, Carola-Bibiane Schönlieb
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Variational Graph Methods for Efficient Point Cloud Sparsification

Autorzy: Tenbrinck, Daniel; Gaede, Fjedor; Burger, Martin
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Learning optimal orders of the underlying Euclidean norm in total variation image denoising

Autorzy: Pan Liu, Carola-Bibiane Schönlieb
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Fast Image and LiDAR alignment based on 3D rendering in sensor topology

Autorzy: Biasutti, Pierre; Aujol, Jean-François; Brédif, Mathieu; Bugeau, Aurélie
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RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud

Autorzy: Biasutti, Pierre; Bugeau, Aurélie; Aujol, Jean-François; Brédif, Mathieu
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Graph gradient flows : from discrete to continuum

Autorzy: Yoshikazu Giga, Yves van Gennip, Jun Okamoto
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Total-Variation -- Fast Gradient Flow and Relations to Koopman Theory

Autorzy: Cohen, Ido; Berkov, Tom; Gilboa, Guy
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Classification of datasets with imputed missing values: does imputation quality matter?

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Learning to Segment Microscopy Images with Lazy Labels

Autorzy: Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schuetz, Carola-Bibiane Schönlieb
Opublikowane w: Computer Vision – ECCV 2020 Workshops - Glasgow, UK, August 23–28, 2020, Proceedings, Part I, Numer 12535, 2020, Strona(/y) 411-428, ISBN 978-3-030-66414-5
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An Analysis of Generative Methods for Multiple-Image Inpainting

Autorzy: Ballester, Coloma; Bugeau, Aurélie; Hurault, Samuel; Parisotto, Simone; Vitoria, Patricia
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Analysis of Different Losses for Deep Learning Image Colorization

Autorzy: Ballester, Coloma; Carrillo, Hernan; Clément, Michaël; Vitoria, Patricia
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Iterative Methods for Computing Eigenvectors of Nonlinear Operators

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VoViT: Low Latency Graph-based Audio-Visual Voice Separation Transformer

Autorzy: Montesinos, Juan F.; Kadandale, Venkatesh S.; Haro, Gloria
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Computing Nonlinear Eigenfunctions via Gradient Flow Extinction

Autorzy: Leon Bungert, Martin Burger, Daniel Tenbrinck
Opublikowane w: Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings, Numer 11603, 2019, Strona(/y) 291-302, ISBN 978-3-030-22367-0
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A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions

Autorzy: Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk
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GraphX $$^\mathbf{\small NET } -$$ N E T - Chest X-Ray Classification Under Extreme Minimal Supervision

Autorzy: Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
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Total Directional Variation for Video Denoising

Autorzy: Simone Parisotto, Carola-Bibiane Schönlieb
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Refitting Solutions Promoted by $$\ell _{12}$$ Sparse Analysis Regularizations with Block Penalties

Autorzy: Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
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Semantic Image Completion Through an Adversarial Strategy

Autorzy: Patricia Vitoria, Joan Sintes, Coloma Ballester
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Genuine Personality Recognition from Highly Constrained Face Images

Autorzy: Fabio Anselmi, Nicoletta Noceti, Lorenzo Rosasco, Robert Ward
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Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data

Autorzy: Veronica Corona, Martin Benning, Lynn F. Gladden, Andi Reci, Andrew J. Sederman, Carola-Bibiane Schoenlieb
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Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis

Autorzy: Ido Cohen, Adi Falik, Guy Gilboa
Opublikowane w: Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings, Numer 11603, 2019, Strona(/y) 315-327, ISBN 978-3-030-22367-0
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Influence of Color Spaces for Deep Learning Image Colorization

Autorzy: Bugeau, Aurélie; Giraud, Rémi; Raad, Lara
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Active Crowds

Autorzy: Bruna, M.; Burger, M.; Pietschmann, J. F.; Wolfram, M. T.
Opublikowane w: Active Particles, Volume 3. Modeling and Simulation in Science, Engineering and Technology, 2022, Strona(/y) 35--73, ISBN 978-3-030-93301-2
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Theoretical Foundations for Pseudo-Inversion of Nonlinear Operators

Autorzy: Gofer, Eyal; Gilboa, Guy
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Iterative regularization for convex regularizers

Autorzy: Molinari, Cesare; Massias, Mathurin; Rosasco, Lorenzo; Villa, Silvia
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Kernel methods through the roof: handling billions of points efficiently

Autorzy: Meanti, Giacomo; Carratino, Luigi; Rosasco, Lorenzo; Rudi, Alessandro
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Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data

Autorzy: M. Lazzaretti, L. Calatroni, C. Estatico
Opublikowane w: IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
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Mean Nyström Embeddings for Adaptive Compressive Learning

Autorzy: Chatalic, Antoine; Carratino, Luigi; De Vito, Ernesto; Rosasco, Lorenzo
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Multiclass learning with margin: exponential rates with no bias-variance trade-off

Autorzy: Vigogna, Stefano; Meanti, Giacomo; De Vito, Ernesto; Rosasco, Lorenzo
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CLIP: Cheap Lipschitz Training of Neural Networks

Autorzy: Bungert, L., Raab, R., Roith, T., Schwinn, L., Tenbrinck, D.
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Sliced Optimal Partial Transport

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A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification

Autorzy: Cartas, Alejandro; Ballester, Coloma; Haro, Gloria
Opublikowane w: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 2022
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ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions

Autorzy: Carratino, Luigi; Vigogna, Stefano; Calandriello, Daniele; Rosasco, Lorenzo
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Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

Autorzy: Meanti, Giacomo; Carratino, Luigi; De Vito, Ernesto; Rosasco, Lorenzo
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Regularization Properties of Dual Subgradient Flow

Autorzy: Apidopoulos, Vassilis; Molinari, Cesare; Rosasco, Lorenzo; Villa, Silvia
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History-Based Anomaly Detector: An Adversarial Approach to Anomaly Detection

Autorzy: Pierrick Chatillon, Coloma Ballester
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Structure preserving neural networks based on ODEs

Autorzy: Murari, Davide; Celledoni, Elena; Owren, Brynjulf; Schönlieb, Carola-Bibiane; Sherry, Ferdia
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Solos: A Dataset for Audio-Visual Music Analysis

Autorzy: Juan F. Montesinos, Olga Slizovskaia, Gloria Haro
Opublikowane w: 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), Numer 22, 2020, Strona(/y) 1-6, ISBN 978-1-7281-9320-5
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Vocoder-Based Speech Synthesis from Silent Videos

Autorzy: Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen
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Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

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Fluctuation-Based Deconvolution in~Fluorescence Microscopy Using Plug-and-Play Denoisers

Autorzy: Stergiopoulou, Vasiliki; Mukherjee, Subhadip; Calatroni, Luca; Blanc-Féraud, Laure
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iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems

Autorzy: Christian Etmann, Rihuan Ke, Carola-Bibiane Schonlieb
Opublikowane w: 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2020, Strona(/y) 1-6, ISBN 978-1-7281-6662-9
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Resolution-Invariant Image Classification Based on Fourier Neural Operators

Autorzy: Kabri, Samira; Roith, Tim; Tenbrinck, Daniel; Burger, Martin
Opublikowane w: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Strona(/y) 236--249
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COL0RME: COvariance-based $ell_0$ super-Resolution Microscopy with intensity Estimation

Autorzy: V. Stergiopoulou, H. Goulart, S. Schaub, L. Calatroni and L. Blanc-Féraud
Opublikowane w: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
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Graph Laplacian for Semi-supervised Learning

Autorzy: Streicher, Or; Gilboa, Guy
Opublikowane w: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Strona(/y) 29--41
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Self-Supervised Small Soccer Player Detection and Tracking

Autorzy: Samuel Hurault, Coloma Ballester, Gloria Haro
Opublikowane w: Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports, Numer 3, 2020, Strona(/y) 9-18, ISBN 9781450381499
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Residual Whiteness Principle for Automatic Parameter Selection in l2-l2 Image Super-Resolution Problems

Autorzy: Pragliola, Monica; Calatroni, Luca; Lanza, Alessandro; Sgallari, Fiorella
Opublikowane w: Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science, 2021, Strona(/y) 476--488
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Variational models on graphs and related flows for data analysis and image processing

Autorzy: Y. van Gennip
Opublikowane w: 2020 Calculus of Variations - Online, Germany, Numer 22, 2020, Strona(/y) 42-46
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Using Player's Body-Orientation to Model Pass Feasibility in Soccer

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Opublikowane w: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, Strona(/y) 3875-3884, ISBN 978-1-7281-9360-1
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SCOTCH and SODA: A Transformer Video Shadow Detection Framework

Autorzy: Liu, Lihao; Prost, Jean; Zhu, Lei; Papadakis, Nicolas; Li{\`{o}}, Pietro; Schönlieb, Carola-Bibiane; Aviles-Rivero, Angelica I.
Opublikowane w: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks

Autorzy: Fazeny, Ariane; Tenbrinck, Daniel; Burger, Martin
Opublikowane w: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Strona(/y) 677--690
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A cappella: Audio-visual Singing Voice Separation

Autorzy: Montesinos, Juan F.; Kadandale, Venkatesh S.; Haro, Gloria
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Visibility Estimation in Point Clouds with Variable Density

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Semantic Image Inpainting through Improved Wasserstein Generative Adversarial Networks

Autorzy: Patricia Vitoria, Joan Sintes, Coloma Ballester
Opublikowane w: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019, Strona(/y) 249-260, ISBN 978-989-758-354-4
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Motion Inpainting by an Image-Based Geodesic AMLE Method

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Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability

Autorzy: Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
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LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net

Autorzy: Pierre Biasutti, Vincent Lepetit, Jean-Francois Aujol, Mathieu Bredif, Aurelie Bugeau
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Multi-Person Tracking By Multi-Scale Detection in Basketball Scenarios

Autorzy: Arbués-Sangüesa, Adrià; Haro, Gloria; Ballester, Coloma
Opublikowane w: IMVIP 2019: Irish Machine Vision & Image Processing, 2019
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ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution

Autorzy: Patricia Vitoria, Lara Raad, Coloma Ballester
Opublikowane w: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
Wydawca: IEEE

Implicit Regularization of Accelerated Methods in Hilbert Spaces

Autorzy: Nicolò Pagliana, Lorenzo Rosasco
Opublikowane w: NIPS'19: Proceedings of the 33rd International Conference on Neural Information Processing Systems, Numer 1297, 2019, Strona(/y) 14481-14491
Wydawca: neurips

Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret

Autorzy: Calandriello, Daniele; Carratino, Luigi; Lazaric, Alessandro; Valko, Michal; Rosasco, Lorenzo
Opublikowane w: Conference on Learning Theory, Numer 99, 2019, ISSN 2640-3498
Wydawca: Proceedings of Machine Learning

Beating SGD Saturation with Tail-Averaging and Minibatching

Autorzy: Nicole Muecke, Gergely Neu, Lorenzo Rosasco
Opublikowane w: Advances in Neural Information Processing Systems, Numer 32, 2019
Wydawca: Neural Information Processing Systems Foundation, Inc.

On the Bias-Variance Tradeoff in Stochastic Gradient Methods

Autorzy: Driggs, Derek, Liang, Jingwei, Schönlieb, Carola-Bibiane
Opublikowane w: Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Numer 34, 2021, Strona(/y) 22119--22131
Wydawca: neurips

On the Connection Between Adversarial Robustness and Saliency Map Interpretability

Autorzy: Etmann, Christian; Lunz, Sebastian; Maass, Peter; Schönlieb, Carola-Bibiane
Opublikowane w: Proceedings of the 36th International Conference on Machine Learning, Numer 97, 2019, Strona(/y) 1823-1832
Wydawca: Proceedings of Machine Learning Research

Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction

Autorzy: Angelica I. Aviles-Rivero, Guy Williams, Martin J. Graves, Carola-Bibiane Schonlieb
Opublikowane w: Joint Annual Meeting ISMRM-ESMRMB, 2018
Wydawca: International Society for Magnetic Resonance in Medicine

Adversarial regularizers in inverse problems, Advances in Neural Information Processing Systems

Autorzy: Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
Opublikowane w: Advances in Neural Information Processing Systems 31 (NIPS 2018), Numer 31, 2018
Wydawca: Neural Information Processing Systems Foundation, Inc.

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification

Autorzy: Milios, Dimitrios; Camoriano, Raffaello; Michiardi, Pietro; Rosasco, Lorenzo; Filippone, Maurizio
Opublikowane w: Advances in Neural Information Processing Systems, Numer 31, 2018, Strona(/y) 6005--6015
Wydawca: Curran Associates, Inc.

On Fast Leverage Score Sampling and Optimal Learning

Autorzy: Rudi, A; Calandriello, D; Carratino, L; Rosasco, L
Opublikowane w: Advances in Neural Information Processing Systems, Numer 31, 2018
Wydawca: Curran Associates, Inc.

Détection et localisation d'objets 3D par apprentissage profond en topologie capteur

Autorzy: Biasutti, Pierre; Bugeau, Aurélie; Aujol, Jean-François; Brédif, Mathieu
Opublikowane w: GRETSI Groupement de Recherche en Traitement du Signal et de l'Image, Aug 2019, Lille, France, Numer 1, 2019
Wydawca: not applicable

Deeply Learned Spectral Total Variation Decomposition

Autorzy: Tamara G. Grossmann, Yury Korolev, Guy Gilboa and Carola-Bibiane Schönlieb
Opublikowane w: Conference on Neural Information Processing Systems (NeurIPS 2020), Numer 34, 2020
Wydawca: NeurIPS

Decentralised Learning with Random Features and Distributed Gradient Descent

Autorzy: Richards, Dominic; Rebeschini, Patrick; Rosasco, Lorenzo
Opublikowane w: Proceedings of the 37th International Conference on Machine Learning, Numer 37, 2020
Wydawca: Proceedings of Machine Learning Research

Total-Variation Mode Decomposition

Autorzy: Cohen, Ido; Berkov, Tom; Gilboa, Guy
Opublikowane w: Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science, 2021, Strona(/y) 52--64
Wydawca: Springer
DOI: 10.1007/978-3-030-75549-2_5

Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces

Autorzy: Lazzaretti, Marta; Kereta, Zeljko; Estatico, Claudio; Calatroni, Luca
Opublikowane w: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Strona(/y) 457--470
Wydawca: Springer
DOI: 10.1007/978-3-031-31975-4_35

VocaLiST: An Audio-Visual Synchronisation Model for Lips and Voices

Autorzy: Kadandale, Venkatesh Shenoy; Montesinos, Juan F.; Haro, Gloria
Opublikowane w: Interspeech 2022, 2022
Wydawca: ISCA
DOI: 10.21437/interspeech.2022-10861

3D Image Super-Resolution by Fluorophore Fluctuations and MA-TIRF Microscopy Reconstruction 3D-COL0RME

Autorzy: Stergiopoulou, Vasiliki; Calatroni, Luca; Schaub, Sebastien; Blanc-Feraud, Laure
Opublikowane w: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, ISBN 978-1-6654-2923-8
Wydawca: IEEE
DOI: 10.1109/isbi52829.2022.9761572

Non-convex Super-resolution of OCT images via sparse representation

Autorzy: G. Scrivanti, L.Calatroni, S. Morigi, L.Nicholson, A.Achim
Opublikowane w: accepted for publication in the IEEE-ISBI 2021 conference proceedings, Numer IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
Wydawca: IEEE
DOI: 10.1109/isbi48211.2021.9434013

Art Speaks Maths, Maths Speaks Art

Autorzy: Ninetta Leone, Simone Parisotto, Kasia Targonska-Hadzibabic, Spike Bucklow, Alessandro Launaro, Suzanne Reynolds, Carola-Bibiane Schönlieb
Opublikowane w: Proceedings of Bridges 2020: Mathematics, Art, Music, Architecture, Education, Culture, 2020, Strona(/y) 481--484
Wydawca: Tessellations Publishing

Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates

Autorzy: Calder, Jeff; Cook, Brendan; Thorpe, Matthew; Slepcev, Dejan
Opublikowane w: International Conference on Machine Learning, Numer 37, 2020
Wydawca: PMLR

GRAND++: Graph Neural Diffusion with A Source Term

Autorzy: Thorpe, Matthew; Nguyen, Tan Minh; Xia, Hedi; Strohmer, Thomas; Bertozzi, Andrea; Osher, Stanley; Wang, Bao
Opublikowane w: International Conference on Learning Representations, Numer annually, 2022
Wydawca: OpenReview

A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution Problems

Autorzy: Lazzaretti, Marta; Rebegoldi, Simone; Calatroni, Luca; Estatico, Claudio
Opublikowane w: Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science, 2021, Strona(/y) 242--253
Wydawca: Springer
DOI: 10.1007/978-3-030-75549-2_20

Hyperbolic Manifold Regression

Autorzy: Marconi, Gian Maria; Rosasco, Lorenzo; Ciliberto, Carlo
Opublikowane w: Proceedings of Machine Learning Research, Numer 108, 2020, Strona(/y) 2570-2580
Wydawca: PMLR

Near-linear time Gaussian process optimization with adaptive batching and resparsification

Autorzy: Calandriello, Daniele; Carratino, Luigi; Lazaric, Alessandro; Valko, Michal; Rosasco, Lorenzo
Opublikowane w: International Conference on Machine Learning, Numer 37, 2020
Wydawca: Proceedings of Machine Learning Research

Nonlinear Spectral Analysis with Variational Methods

Autorzy: Leon Bungert
Opublikowane w: 2020
Wydawca: tba

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