Daniel Tenbrinck

42 papers A 2B 1Journal 24Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Duality Perspective on Nonlinear Eigenproblems. CoRR Jonathan Laubmann, Manuel Friedrich, Daniel Tenbrinck
2025	J	`jnl`	On MAP estimates and source conditions for drift identification in SDEs. CoRR Daniel Tenbrinck, Nikolas Uesseler, Philipp Wacker, Benedikt Wirth
2025	—	`conf`	VoxATtack: A Multimodal Attack on Voice Anonymization Systems. WASPAA Ahmad Aloradi, Ünal Ege Gaznepoglu, Emanuël A. P. Habets, Daniel Tenbrinck
2025	A	`conf`	You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks. INTERSPEECH Ünal Ege Gaznepoglu, Anna Leschanowsky, Ahmad Aloradi, Prachi Singh, Daniel Tenbrinck, Emanuël A. P. Habets, Nils Peters
2025	J	`jnl`	You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks. CoRR Ünal Ege Gaznepoglu, Anna Leschanowsky, Ahmad Aloradi, Prachi Singh, Daniel Tenbrinck, Emanuël A. P. Habets, Nils Peters
2024	J	`jnl`	Hypergraph p-Laplacians and Scale Spaces. J. Math. Imaging Vis. Ariane Fazeny, Daniel Tenbrinck, Kseniia Lukin, Martin Burger
2024	J	`jnl`	The Infinity Laplacian Eigenvalue Problem: Reformulation and a Numerical Scheme. J. Sci. Comput. Farid Bozorgnia, Leon Bungert, Daniel Tenbrinck
2023	—	`conf`	Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks. SSVM Ariane Fazeny, Daniel Tenbrinck, Martin Burger
2023	J	`jnl`	Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks. CoRR Ariane Fazeny, Daniel Tenbrinck, Martin Burger
2023	—	`conf`	Resolution-Invariant Image Classification Based on Fourier Neural Operators. SSVM Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger
2023	J	`jnl`	Resolution-Invariant Image Classification based on Fourier Neural Operators. CoRR Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger
2022	J	`jnl`	A Bregman Learning Framework for Sparse Neural Networks. J. Mach. Learn. Res. Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
2021	J	`jnl`	A Bregman Learning Framework for Sparse Neural Networks. CoRR Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
2021	—	`conf`	CLIP: Cheap Lipschitz Training of Neural Networks. SSVM Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
2021	J	`jnl`	CLIP: Cheap Lipschitz Training of Neural Networks. CoRR Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck
2021	B	`conf`	Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. IJCNN Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger
2021	J	`jnl`	Fenchel Duality Theory and a Primal-Dual Algorithm on Riemannian Manifolds. Found. Comput. Math. Ronny Bergmann, Roland Herzog, Maurício Silva Louzeiro, Daniel Tenbrinck, José Vidal-Núñez
2021	J	`jnl`	Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier
2021	A	`conf`	Identifying untrustworthy predictions in neural networks by geometric gradient analysis. UAI Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier
2021	J	`jnl`	Neural Architecture Search via Bregman Iterations. CoRR Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger
2020	J	`jnl`	Sampled Nonlocal Gradients for Stronger Adversarial Attacks. CoRR Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier
2020	J	`jnl`	The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme. CoRR Farid Bozorgnia, Leon Bungert, Daniel Tenbrinck
2019	—	`conf`	Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. SSVM Leon Bungert, Martin Burger, Daniel Tenbrinck
2019	J	`jnl`	Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. CoRR Leon Bungert, Martin Burger, Daniel Tenbrinck
2019	J	`jnl`	Fenchel Duality for Convex Optimization and a Primal Dual Algorithm on Riemannian Manifolds. CoRR Ronny Bergmann, Roland Herzog, Daniel Tenbrinck, José Vidal-Núñez
2019	J	`jnl`	Variational Graph Methods for Efficient Point Cloud Sparsification. CoRR Daniel Tenbrinck, Fjedor Gaede, Martin Burger
2018	J	`jnl`	A Graph Framework for Manifold-Valued Data. SIAM J. Imaging Sci. Ronny Bergmann, Daniel Tenbrinck
2017	—	`conf`	Nonlocal Inpainting of Manifold-Valued Data on Finite Weighted Graphs. GSI Ronny Bergmann, Daniel Tenbrinck
2015	J	`jnl`	Image segmentation with arbitrary noise models by solving minimal surface problems. Pattern Recognit. Daniel Tenbrinck, Xiaoyi Jiang
2015	J	`jnl`	On the p-Laplacian and ∞-Laplacian on Graphs with Applications in Image and Data Processing. SIAM J. Imaging Sci. Abderrahim Elmoataz, Matthieu Toutain, Daniel Tenbrinck
2015	—	`conf`	Solving Minimal Surface Problems on Surfaces and Point Clouds. SSVM Daniel Tenbrinck, François Lozes, Abderrahim Elmoataz
2014	J	`jnl`	Automatic classification of left ventricular wall segments in small animal ultrasound imaging. Comput. Methods Programs Biomed. Kathrin Ungru, Daniel Tenbrinck, Xiaoyi Jiang, Jörg Stypmann
2014	—	`conf`	Registration of Noisy Images via Maximum A-Posteriori Estimation. WBIR Sebastian Suhr, Daniel Tenbrinck, Martin Burger, Jan Modersitzki
2013	J	`jnl`	A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models. J. Math. Imaging Vis. Alex Sawatzky, Daniel Tenbrinck, Xiaoyi Jiang, Martin Burger
2013	—	`conf`	Biomedical Imaging: A Computer Vision Perspective. CAIP (1) Xiaoyi Jiang, Mohammad Dawood, Fabian Gigengack, Benjamin Risse, Sönke Schmid, Daniel Tenbrinck, Klaus P. Schäfers
2013	—	`conf`	Discriminant Analysis Based Level Set Segmentation for Ultrasound Imaging. CAIP (2) Daniel Tenbrinck, Xiaoyi Jiang
2013	J	`jnl`	Histogram-Based Optical Flow for Motion Estimation in Ultrasound Imaging. J. Math. Imaging Vis. Daniel Tenbrinck, Sönke Schmid, Xiaoyi Jiang, Klaus P. Schäfers, Jörg Stypmann
2013	—	`conf`	Region Based Contour Detection by Dynamic Programming. CAIP (2) Xiaoyi Jiang, Daniel Tenbrinck
2013	—	`—`	Variational Methods for Medical Ultrasound Imaging. Daniel Tenbrinck
2012	—	`conf`	Impact of Physical Noise Modeling on Image Segmentation in Echocardiography. VCBM Daniel Tenbrinck, Alex Sawatzky, Xiaoyi Jiang, Martin Burger, Wladimir Haffner, Patrick Willems, Matthias Paul, Jörg Stypmann
2011	—	`conf`	Histogram-Based Optical Flow for Functional Imaging in Echocardiography. CAIP (1) Sönke Schmid, Daniel Tenbrinck, Xiaoyi Jiang, Klaus P. Schäfers, Klaus Tiemann, Jörg Stypmann
2010	—	`conf`	Motion correction in positron emission tomography considering partial volume effects in optical flow estimation. ISBI Daniel Tenbrinck, Mohammad Dawood, Fabian Gigengack, Michael Fieseler, Xiaoyi Jiang, Klaus Schiifers