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2020 – today
- 2024
[j10]Ariane Fazeny, Daniel Tenbrinck, Kseniia Lukin, Martin Burger:
Hypergraph p-Laplacians and Scale Spaces. J. Math. Imaging Vis. 66(4): 529-549 (2024)- [j9]Farid Bozorgnia, Leon Bungert
, Daniel Tenbrinck:
The Infinity Laplacian Eigenvalue Problem: Reformulation and a Numerical Scheme. J. Sci. Comput. 98(2): 40 (2024) - 2023
- [c15]Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger:
Resolution-Invariant Image Classification Based on Fourier Neural Operators. SSVM 2023: 236-249 - [c14]Ariane Fazeny, Daniel Tenbrinck, Martin Burger:
Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks. SSVM 2023: 677-690 - [i11]Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger:
Resolution-Invariant Image Classification based on Fourier Neural Operators. CoRR abs/2304.01227 (2023) - [i10]Ariane Fazeny, Daniel Tenbrinck, Martin Burger:
Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks. CoRR abs/2309.15419 (2023) - 2022
- [j8]Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger:
A Bregman Learning Framework for Sparse Neural Networks. J. Mach. Learn. Res. 23: 192:1-192:43 (2022) - 2021
- [j7]Ronny Bergmann, Roland Herzog, Maurício Silva Louzeiro, Daniel Tenbrinck, José Vidal-Núñez:
Fenchel Duality Theory and a Primal-Dual Algorithm on Riemannian Manifolds. Found. Comput. Math. 21(6): 1465-1504 (2021) - [c13]Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger:
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. IJCNN 2021: 1-8 - [c12]Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck:
CLIP: Cheap Lipschitz Training of Neural Networks. SSVM 2021: 307-319 - [c11]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier:
Identifying untrustworthy predictions in neural networks by geometric gradient analysis. UAI 2021: 854-864 - [i9]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier:
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR abs/2102.12196 (2021) - [i8]Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck:
CLIP: Cheap Lipschitz Training of Neural Networks. CoRR abs/2103.12531 (2021) - [i7]Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger:
A Bregman Learning Framework for Sparse Neural Networks. CoRR abs/2105.04319 (2021) - [i6]Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger:
Neural Architecture Search via Bregman Iterations. CoRR abs/2106.02479 (2021) - 2020
- [i5]Farid Bozorgnia, Leon Bungert, Daniel Tenbrinck:
The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme. CoRR abs/2004.08127 (2020) - [i4]Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier:
Sampled Nonlocal Gradients for Stronger Adversarial Attacks. CoRR abs/2011.02707 (2020)
2010 – 2019
- 2019
- [c10]Leon Bungert, Martin Burger, Daniel Tenbrinck:
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. SSVM 2019: 291-302 - [i3]Leon Bungert, Martin Burger, Daniel Tenbrinck:
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. CoRR abs/1902.10414 (2019) - [i2]Daniel Tenbrinck, Fjedor Gaede, Martin Burger:
Variational Graph Methods for Efficient Point Cloud Sparsification. CoRR abs/1903.02858 (2019) - [i1]Ronny Bergmann, Roland Herzog, Daniel Tenbrinck, José Vidal-Núñez:
Fenchel Duality for Convex Optimization and a Primal Dual Algorithm on Riemannian Manifolds. CoRR abs/1908.02022 (2019) - 2018
- [j6]Ronny Bergmann, Daniel Tenbrinck:
A Graph Framework for Manifold-Valued Data. SIAM J. Imaging Sci. 11(1): 325-360 (2018) - 2017
- [c9]Ronny Bergmann, Daniel Tenbrinck:
Nonlocal Inpainting of Manifold-Valued Data on Finite Weighted Graphs. GSI 2017: 604-612 - 2015
- [j5]Daniel Tenbrinck, Xiaoyi Jiang:
Image segmentation with arbitrary noise models by solving minimal surface problems. Pattern Recognit. 48(11): 3293-3309 (2015) - [j4]Abderrahim Elmoataz, Matthieu Toutain, Daniel Tenbrinck:
On the p-Laplacian and ∞-Laplacian on Graphs with Applications in Image and Data Processing. SIAM J. Imaging Sci. 8(4): 2412-2451 (2015) - [c8]Daniel Tenbrinck, François Lozes, Abderrahim Elmoataz:
Solving Minimal Surface Problems on Surfaces and Point Clouds. SSVM 2015: 601-612 - 2014
- [j3]Kathrin Ungru, Daniel Tenbrinck, Xiaoyi Jiang, Jörg Stypmann:
Automatic classification of left ventricular wall segments in small animal ultrasound imaging. Comput. Methods Programs Biomed. 117(1): 2-12 (2014) - [c7]Sebastian Suhr, Daniel Tenbrinck, Martin Burger, Jan Modersitzki:
Registration of Noisy Images via Maximum A-Posteriori Estimation. WBIR 2014: 231-240 - 2013
- [b1]Daniel Tenbrinck:
Variational Methods for Medical Ultrasound Imaging. Universität Münster, 2013, pp. I-IX, 1-277 - [j2]Daniel Tenbrinck, Sönke Schmid, Xiaoyi Jiang, Klaus P. Schäfers, Jörg Stypmann:
Histogram-Based Optical Flow for Motion Estimation in Ultrasound Imaging. J. Math. Imaging Vis. 47(1-2): 138-150 (2013) - [j1]Alex Sawatzky, Daniel Tenbrinck, Xiaoyi Jiang, Martin Burger:
A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models. J. Math. Imaging Vis. 47(3): 179-209 (2013) - [c6]Xiaoyi Jiang, Mohammad Dawood, Fabian Gigengack, Benjamin Risse, Sönke Schmid, Daniel Tenbrinck, Klaus P. Schäfers:
Biomedical Imaging: A Computer Vision Perspective. CAIP (1) 2013: 1-19 - [c5]Daniel Tenbrinck, Xiaoyi Jiang:
Discriminant Analysis Based Level Set Segmentation for Ultrasound Imaging. CAIP (2) 2013: 144-151 - [c4]Xiaoyi Jiang, Daniel Tenbrinck:
Region Based Contour Detection by Dynamic Programming. CAIP (2) 2013: 152-159 - 2012
- [c3]Daniel Tenbrinck, Alex Sawatzky, Xiaoyi Jiang, Martin Burger, Wladimir Haffner, Patrick Willems, Matthias Paul, Jörg Stypmann:
Impact of Physical Noise Modeling on Image Segmentation in Echocardiography. VCBM 2012: 33-40 - 2011
- [c2]Sönke Schmid, Daniel Tenbrinck, Xiaoyi Jiang, Klaus P. Schäfers, Klaus Tiemann, Jörg Stypmann:
Histogram-Based Optical Flow for Functional Imaging in Echocardiography. CAIP (1) 2011: 477-485 - 2010
- [c1]Daniel Tenbrinck, Mohammad Dawood, Fabian Gigengack, Michael Fieseler, Xiaoyi Jiang, Klaus Schiifers:
Motion correction in positron emission tomography considering partial volume effects in optical flow estimation. ISBI 2010: 1233-1236
Coauthor Index
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last updated on 2024-09-13 00:39 CEST by the dblp team
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