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  • Currently displaying 321 - 340 of 396 publications
Inverse scale space decomposition
MF Schmidt, M Benning, C-B Schönlieb
– Inverse Problems
(2018)
34,
045008
Blind image fusion for hyperspectral imaging with the directional total variation
L Bungert, DA Coomes, MJ Ehrhardt, J Rasch, R Reisenhofer, CB Schönlieb
– Inverse Problems
(2018)
34,
044003
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration.
C Poon, J Liang, C-B Schönlieb
– ICML
(2018)
80,
4121
Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactions.
AI Aviles-Rivero, SM Alsaleh, A Casals
– International Journal of Computer Assisted Radiology and Surgery
(2018)
13,
353
A Variational Model for Joint Motion Estimation and Image Reconstruction
M Burger, H Dirks, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2018)
11,
94
Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications
A Chambolle, MJ Ehrhardt, P Richtárik, C-B Schönlieb
– n/a
(2018)
28,
2783
Adversarial Regularizers in Inverse Problems
S Lunz, O Öktem, CB Schönlieb
– NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems
(2018)
31,
8507
Turbulent flow in coherent speckle
A Shanker, G Nivarti, L Waller, C Bibiane-Schönlieb
– Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
(2018)
mw3d.6
Peekaboo-Where are the Objects? Structure Adjusting Superpixels
G Maierhofer, D Heydecker, AI Aviles-Rivero, SM Alsaleli, C-B Schonlieb
– 2018 25th IEEE International Conference on Image Processing (ICIP)
(2018)
00,
3693
Pattern formation of a nonlocal, anisotropic interaction model
M Burger, B Düring, LM Kreusser, PA Markowich, CB Schönlieb
– Mathematical Models and Methods in Applied Sciences
(2017)
28,
409
Supporting Material for Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation
MJ Ehrhardt, L Bungert, D Coomes, C Schoenlieb, J Rasch, R Reisenhofer
(2017)
Choose your path wisely: gradient descent in a Bregman distance framework
M Benning, MM Betcke, MJ Ehrhardt, C-B Schönlieb
(2017)
Introduction: Big data and partial differential equations
Y Van Gennip, CB Schönlieb
– European Journal of Applied Mathematics
(2017)
28,
877
Parameter selection in limited data cone-beam CT reconstruction using edge-preserving total variation algorithms.
M Lohvithee, A Biguri, M Soleimani
– Phys Med Biol
(2017)
62,
9295
Guidefill: GPU accelerated, artist guided geometric inpainting for 3D conversion of film
LR Hocking, R MacKenzie, CB Schönlieb
– SIAM Journal on Imaging Sciences
(2017)
10,
2049
Entropic Comparison of Atomic-Resolution Electron Tomography of Crystals and Amorphous Materials
SM Collins, RK Leary, PA Midgley, RJ Tovey, M Benning, C-B Schoenlieb, P Rez, MMJ Treacy
– Physical Review Letters
(2017)
119,
166101
Numerical analysis of shell-based geometric image inpainting algorithms and their semi-implicit extension
LR Hocking, T Holding, C-B Schoenlieb
(2017)
A general method for motion compensation in x-ray computed tomography
A Biguri, M Dosanjh, S Hancock, M Soleimani
– Physics in Medicine & Biology
(2017)
62,
6532
Discrete gradient methods for solving variational image regularisation models
V Grimm, RI McLachlan, DI McLaren, GRW Quispel, CB Schönlieb
– Journal of Physics A: Mathematical and Theoretical
(2017)
50,
295201
Learning optimal spatially-dependent regularization parameters in total variation image denoising
C Van Chung, JC De los Reyes, CB Schönlieb
– Inverse Problems
(2017)
33,
074005