Michael Möller

Vis. Comput., November, 2024

Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview.

[BibT_eX]

[DOI]

Alexander Auras

CoRR, 2024

Weak-Annotation of HAR Datasets using Vision Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM International Symposium on Wearable Computers, 2024

Implicit Representations for Constrained Image Segmentation.

[BibT_eX]

[DOI]

Jan Philipp Schneider

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computational Photography, 2024

Variable layout CMOS pixels for end-to-end learning in task specific Image Sensors.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

Coherent Enhancement of Depth Images and Normal Maps Using Second-Order Geometric Models on Weighted Finite Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2024

2023

Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021).

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2023

Temporal Action Localization for Inertial-based Human Activity Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Kissing to Find a Match: Efficient Low-Rank Permutation Representation.

[BibT_eX]

[DOI]

CoRR, 2023

SIGMA: Scale-Invariant Global Sparse Shape Matching.

[BibT_eX]

[DOI]

CoRR, 2023

An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness.

[BibT_eX]

[DOI]

Jovita Lukasik

Margret Keuper

CoRR, 2023

Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters.

[BibT_eX]

[DOI]

CoRR, 2023

WEAR: A Multimodal Dataset for Wearable and Egocentric Video Activity Recognition.

[BibT_eX]

[DOI]

Hilde Kuehne

CoRR, 2023

On the Direct Alignment of Latent Spaces.

[BibT_eX]

[DOI]

Zorah Lähner

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Learning Posterior Distributions in Underdetermined Inverse Problems.

[BibT_eX]

[DOI]

Christina Runkel

Carola-Bibiane Schönlieb

Christian Etmann

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Kissing to Find a Match: Efficient Low-Rank Permutation Representation.

[BibT_eX]

[DOI]

Zorah Lähner

Yuval Bahat

Onofre Martorell Nadal

Felix Heide

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating Adversarial Robustness of Low dose CT Recovery.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

QuAnt: Quantum Annealing with Learnt Couplings.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ΣIGMA: Scale-Invariant Global Sparse Shape Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness.

[BibT_eX]

[DOI]

Jovita Lukasik

Margret Keuper

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes.

[BibT_eX]

[DOI]

Harshil Bhatia

Edith Tretschk

Zorah Lähner

Vladislav Golyanik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., September, 2022

A Generative Model for Generic Light Field Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics.

[BibT_eX]

[DOI]

Rama Krishna Kandukuri

Jan Achterhold

Joerg Stueckler

Int. J. Comput. Vis., 2022

Investigating (re)current state-of-the-art in human activity recognition datasets.

[BibT_eX]

[DOI]

Alexander Hoelzemann

Frontiers Comput. Sci., 2022

Convergent Data-driven Regularizations for CT Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Optimization Prior for THz Model Parameter Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Stochastic Training is Not Necessary for Generalization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

FL0C: Fast L0 Cut Pursuit for Estimation of Piecewise Constant Functions.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

On Adversarial Robustness of Deep Image Deblurring.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Non-Smooth Energy Dissipating Networks.

[BibT_eX]

[DOI]

Thomas Möllenhoff

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Intrinsic Neural Fields: Learning Functions on Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Explorable Data Consistent CT Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Simple Strategy to Provable Invariance via Orbit Mapping.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

J. Imaging, 2021

Tutorial on Deep Learning for Human Activity Recognition.

[BibT_eX]

[DOI]

Alexander Hoelzemann

CoRR, 2021

DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity.

[BibT_eX]

[DOI]

CoRR, 2021

Training or Architecture? How to Incorporate Invariance in Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors.

[BibT_eX]

[DOI]

CoRR, 2021

Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization.

[BibT_eX]

[DOI]

Christina Runkel

Christian Etmann

Carola-Bibiane Schönlieb

CoRR, 2021

Improving Deep Learning for HAR with Shallow LSTMs.

[BibT_eX]

[DOI]

Alexander Hölzemann

Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Q-Match: Iterative Shape Matching via Quantum Annealing.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Nonlinear spectral geometry processing via the TV transform.

[BibT_eX]

[DOI]

Marco Fumero

Emanuele Rodolà

ACM Trans. Graph., 2020

Generative Models for Generic Light Field Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2020

Inverting Gradients - How easy is it to break privacy in federated learning?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Simple Domain Shifting Network for Generating Low Quality Images.

[BibT_eX]

[DOI]

Guruprasad M. Hegde

Avinash Nittur Ramesh

Roman Obermaisser

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Truth or backpropaganda? An empirical investigation of deep learning theory.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Identify Physical Parameters from Video Using Differentiable Physics.

[BibT_eX]

[DOI]

Rama Krishna Kandukuri

Jan Achterhold

Joerg Stueckler

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Fast Convex Relaxations using Graph Discretizations.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Adiabatic Quantum Graph Matching with Permutation Matrix Constraints.

[BibT_eX]

[DOI]

Vladislav Golyanik

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Parametric Majorization for Data-Driven Energy Minimization Methods.

[BibT_eX]

[DOI]

Jonas Geiping

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Controlling Neural Networks via Energy Dissipation.

[BibT_eX]

[DOI]

Thomas Möllenhoff

Daniel Cremers

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2019

2018

Composite Optimization by Nonconvex Majorization-Minimization.

[BibT_eX]

[DOI]

Jonas Geiping

SIAM J. Imaging Sci., 2018

The homotopy method revisited: Computing solution paths of ℓ<sub>1</sub>-regularized problems.

[BibT_eX]

[DOI]

Math. Comput., 2018

Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Rania Briq

Juergen Gall

CoRR, 2018

Are good local minima wide in sparse recovery?

[BibT_eX]

[DOI]

CoRR, 2018

Segmentation and Shape Extraction from Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Proximal Backpropagation.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Lifting Layers: Analysis and Applications.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems.

[BibT_eX]

[DOI]

Florian Bernard

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Convolutional Simplex Projection Network for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Rania Briq

Jürgen Gall

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems.

[BibT_eX]

[DOI]

Florian Bernard

CoRR, 2017

Regularized Pointwise Map Recovery from Functional Correspondence.

[BibT_eX]

[DOI]

Emanuele Rodolà

Daniel Cremers

Comput. Graph. Forum, 2017

Nonlinear Spectral Image Fusion.

[BibT_eX]

[DOI]

Carola-Bibiane Schönlieb

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Multiframe Motion Coupling for Video Super Resolution.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016

Collaborative Total Variation: A General Framework for Vectorial TV Models.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2016

Spectral Decompositions Using One-Homogeneous Functionals.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2016

Fast sparse reconstruction: Greedy inverse scale space flows.

[BibT_eX]

[DOI]

Xiaoqun Zhang

Math. Comput., 2016

Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects.

[BibT_eX]

[DOI]

Guy Gilboa

Martin Burger

J. Math. Imaging Vis., 2016

On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition.

[BibT_eX]

[DOI]

Image Process. Line, 2016

Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution.

[BibT_eX]

[DOI]

CoRR, 2016

Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Sublabel-Accurate Relaxation of Nonconvex Energies.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Variational Depth From Focus Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Point-wise Map Recovery and Refinement from Functional Correspondence.

[BibT_eX]

[DOI]

Emanuele Rodolà

Daniel Cremers

Proceedings of the 20th International Symposium on Vision, Modeling, and Visualization, 2015

Interactive Multi-label Segmentation of RGB-D Images.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Spectral Representations of One-Homogeneous Functionals.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Learning Nonlinear Spectral Filters for Color Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Color Bregman TV.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

A framework for automated cell tracking in phase contrast microscopic videos based on normal velocities.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2014

Low Rank Priors for Color Image Regularization.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓ p, q, r -norms.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

2013

Multiscale Methods for Polyhedral Regularizations.

[BibT_eX]

[DOI]

Martin Burger

SIAM J. Optim., 2013

A dual split Bregman method for fast ℓ<sup>1</sup> minimization.

[BibT_eX]

[DOI]

Yi Yang

Stanley J. Osher

Math. Comput., 2013

An adaptive inverse scale space method for compressed sensing.

[BibT_eX]

[DOI]

Math. Comput., 2013

2012

Multiscale methods for (generalized) sparse recovery and applications in high dimensional imaging.

[BibT_eX]

[DOI]

PhD thesis, 2012

A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

A Variational Approach for Sharpening High Dimensional Images.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2012

The adaptive inverse scale space method for hyperspectral unmixing.

[BibT_eX]

[DOI]