2025
Whitened CLIP as a Likelihood Surrogate of Images and Captions.
CoRR, May, 2025
Identifying Memorization of Diffusion Models Through p-Laplace Analysis.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Generalized Inversion of Nonlinear Operators.
J. Math. Imaging Vis., August, 2024
Spectral Total-variation Processing of Shapes - Theory and Applications.
ACM Trans. Graph., April, 2024
The Double-Ellipsoid Geometry of CLIP.
CoRR, 2024
Fast and Simple Explainability for Point Cloud Networks.
CoRR, 2024
DXAI: Explaining Classification by Image Decomposition.
CoRR, 2024
Enhancing Neural Training via a Correlated Dynamics Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Critical Points ++: An Agile Point Cloud Importance Measure for Robust Classification, Adversarial Defense and Explainable AI.
CoRR, 2023
Minimizing Quotient Regularization Model.
CoRR, 2023
Additive Class Distinction Maps using Branched-GANs.
CoRR, 2023
Graph Laplacian for Semi-supervised Learning.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Theoretical Foundations for Pseudo-Inversion of Nonlinear Operators.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
EPiC: Ensemble of Partial Point Clouds for Robust Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
BASiS: Batch Aligned Spectral Embedding Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Adaptive Anisotropic Total Variation: Analysis and Experimental Findings of Nonlinear Spectral Properties.
J. Math. Imaging Vis., 2022
The Underlying Correlated Dynamics in Neural Training.
CoRR, 2022
Analysis of Branch Specialization and its Application in Image Decomposition.
CoRR, 2022
How to Guide Adaptive Depth Sampling?
CoRR, 2022
2021
Adaptive LiDAR Sampling and Depth Completion Using Ensemble Variance.
IEEE Trans. Image Process., 2021
Modes of Homogeneous Gradient Flows.
SIAM J. Imaging Sci., 2021
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks.
SIAM J. Imaging Sci., 2021
Revealing stable and unstable modes of denoisers through nonlinear eigenvalue analysis.
J. Vis. Commun. Image Represent., 2021
A Pseudo-Inverse for Nonlinear Operators.
CoRR, 2021
Total-Variation Mode Decomposition.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
PhIT-Net: Photo-consistent Image Transform for Robust Illumination Invariant Matching.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Introducing the <i>p</i>-Laplacian spectra.
Signal Process., 2020
Experts with Lower-Bounded Loss Feedback: A Unifying Framework.
CoRR, 2020
Iterative Methods for Computing Eigenvectors of Nonlinear Operators.
CoRR, 2020
Mode Decomposition for Homogeneous Symmetric Operators.
CoRR, 2020
Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN.
CoRR, 2020
Deeply Learned Spectral Total Variation Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Super-Pixel Sampler: a Data-driven Approach for Depth Sampling and Reconstruction.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Spectral Total-Variation Local Scale Signatures for Image Manipulation and Fusion.
IEEE Trans. Image Process., 2019
Self-Supervised Unconstrained Illumination Invariant Representation.
CoRR, 2019
Numeric Solutions of Eigenvalue Problems for Generic Nonlinear Operators.
CoRR, 2019
Image-Guided Depth Sampling and Reconstruction.
CoRR, 2019
Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019
2018
Nonlinear Eigenproblems in Image Processing and Computer Vision
Advances in Computer Vision and Pattern Recognition, Springer, ISBN: 978-3-319-75846-6, 2018
Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals.
SIAM J. Imaging Sci., 2018
Flows Generating Nonlinear Eigenfunctions.
J. Sci. Comput., 2018
A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering.
J. Math. Imaging Vis., 2018
Energy dissipating flows for solving nonlinear eigenpair problems.
J. Comput. Phys., 2018
2017
Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches.
IEEE Trans. Image Process., 2017
Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition.
J. Math. Imaging Vis., 2017
Learning Filter Functions in Regularisers by Minimising Quotients.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
Nonlinear Spectral Image Fusion.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017
In situ target-less calibration of turbid media.
Proceedings of the 2017 IEEE International Conference on Computational Photography, 2017
2016
Separation Surfaces in the Spectral TV Domain for Texture Decomposition.
IEEE Trans. Image Process., 2016
Spectral Decompositions Using One-Homogeneous Functionals.
SIAM J. Imaging Sci., 2016
Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects.
J. Math. Imaging Vis., 2016
Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
A Depth Restoration Occlusionless Temporal Dataset.
Proceedings of the Fourth International Conference on 3D Vision, 2016
Robust Recovery of Heavily Degraded Depth Measurements.
Proceedings of the Fourth International Conference on 3D Vision, 2016
2015
Multiscale Texture Orientation Analysis Using Spectral Total-Variation Decomposition.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
Spectral Representations of One-Homogeneous Functionals.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
Fundamentals of Non-Local Total Variation Spectral Theory.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
A maximal interest-point strategy applied to image enhancement with external priors.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
On the role of non-local Menger curvature in image processing.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Learning Nonlinear Spectral Filters for Color Image Reconstruction.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
A Total Variation Spectral Framework for Scale and Texture Analysis.
SIAM J. Imaging Sci., 2014
Nonlinear band-pass filtering using the TV transform.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
A Spectral Approach to Total Variation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
Expert Regularizers for Task Specific Processing.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
2009
Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
2008
Nonlinear Scale Space with Spatially Varying Stopping Time.
IEEE Trans. Pattern Anal. Mach. Intell., 2008
Nonlocal Operators with Applications to Image Processing.
Multiscale Model. Simul., 2008
2007
Nonlocal Linear Image Regularization and Supervised Segmentation.
Multiscale Model. Simul., 2007
Nonlocal evolutions for image regularization.
Proceedings of the Computational Imaging V, San Jose, 2007
2006
Variational denoising of partly textured images by spatially varying constraints.
IEEE Trans. Image Process., 2006
Estimation of optimal PDE-based denoising in the SNR sense.
IEEE Trans. Image Process., 2006
Constrained and SNR-Based Solutions for <i>TV</i>-Hilbert Space Image Denoising.
J. Math. Imaging Vis., 2006
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection.
Int. J. Comput. Vis., 2006
2005
Nonlinear Inverse Scale Space Methods for Image Restoration.
Proceedings of the Variational, 2005
Structure-Texture Decomposition by a TV-Gabor Model.
Proceedings of the Variational, 2005
Estimation of the Optimal Variational Parameter via SNR Analysis.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005
2004
Image Enhancement and Denoising by Complex Diffusion Processes.
IEEE Trans. Pattern Anal. Mach. Intell., 2004
Image Sharpening by Flows Based on Triple Well Potentials.
J. Math. Imaging Vis., 2004
2003
PDE-based denoising of complex scenes using a spatially-varying fidelity term.
Proceedings of the 2003 International Conference on Image Processing, 2003
2002
Forward-and-backward diffusion processes for adaptive image enhancement and denoising.
IEEE Trans. Image Process., 2002
Regularized Shock Filters and Complex Diffusion.
Proceedings of the Computer Vision, 2002
2001
Complex Diffusion Processes for Image Filtering.
Proceedings of the Scale-Space and Morphology in Computer Vision, 2001
Image enhancement segmentation and denoising by time dependent nonlinear diffusion processes.
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
Anisotropic selective inverse diffusion for signal enhancement in the presence of noise.
Proceedings of the IEEE International Conference on Acoustics, 2000
Signal and image enhancement by a generalized forward-and-backward adaptive diffusion process.
Proceedings of the 10th European Signal Processing Conference, 2000
Color Image Enhancement by a Forward-and-Backward Adaptive Beltrami Flow.
Proceedings of the Algebraic Frames for the Perception-Action Cycle, 2000