Janis Keuper

CoRR, 2024

Are Vision Language Models Texture or Shape Biased and Can We Steer Them?

[BibT_eX]

[DOI]

Muhammad Jehanzeb Mirza

CoRR, 2024

Adversarial Examples are Misaligned in Diffusion Model Manifolds.

[BibT_eX]

[DOI]

Peter Lorenz

CoRR, 2024

Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry.

[BibT_eX]

[DOI]

Lars Nieradzik

Henrike Stephani

Jördis Sieburg-Rockel

Stephanie Helmling

Andrea Olbrich

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Deep diffusion models for seismic processing.

[BibT_eX]

[DOI]

Ammar Ghanim

Mario Ruben Fernandez

Norman Ettrich

Comput. Geosci., August, 2023

Retail-786k: a Large-Scale Dataset for Visual Entity Matching.

[BibT_eX]

[DOI]

Bianca Lamm

CoRR, 2023

Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers.

[BibT_eX]

[DOI]

CoRR, 2023

As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain.

[BibT_eX]

[DOI]

Julia Grabinski

CoRR, 2023

Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling.

[BibT_eX]

[DOI]

Julia Grabinski

CoRR, 2023

Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning.

[BibT_eX]

[DOI]

Lars Nieradzik

Jördis Sieburg-Rockel

CoRR, 2023

On Invariance, Equivariance, Correlation and Convolution of Spherical Harmonic Representations for Scalar and Vectorial Data.

[BibT_eX]

[DOI]

CoRR, 2023

Fine-Grained Product Classification on Leaflet Advertisements.

[BibT_eX]

[DOI]

Daniel Ladwig

Bianca Lamm

CoRR, 2023

Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters?

[BibT_eX]

[DOI]

CoRR, 2023

Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection.

[BibT_eX]

[DOI]

Peter Lorenz

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality.

[BibT_eX]

[DOI]

Peter Lorenz

Ricard L. Durall

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

On the Interplay of Convolutional Padding and Adversarial Robustness.

[BibT_eX]

[DOI]

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

An Extended Study of Human-like Behavior under Adversarial Training.

[BibT_eX]

[DOI]

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

2022

Aliasing and adversarial robust generalization of CNNs.

[BibT_eX]

[DOI]

Julia Grabinski

Mach. Learn., 2022

Does Medical Imaging learn different Convolution Filters?

[BibT_eX]

[DOI]

CoRR, 2022

Physics-Informed Learning of Aerosol Microphysics.

[BibT_eX]

[DOI]

CoRR, 2022

Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal.

[BibT_eX]

[DOI]

CoRR, 2022

FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting.

[BibT_eX]

[DOI]

CoRR, 2022

An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Models are less Over-Confident.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adversarial Robustness through the Lens of Convolutional Filters.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Investigating Shifts in GAN Output-Distributions.

[BibT_eX]

[DOI]

Febin Sebastian Elayanithottathil

CoRR, 2021

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

[BibT_eX]

[DOI]

CoRR, 2021

Detecting AutoAttack Perturbations in the Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2021

Emulating Aerosol Microphysics with Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space.

[BibT_eX]

[DOI]

CoRR, 2021

Combining Transformer Generators with Convolutional Discriminators.

[BibT_eX]

[DOI]

CoRR, 2021

A Retail Product Categorisation Dataset.

[BibT_eX]

[DOI]

CoRR, 2021

Stabilizing GANs with Soft Octave Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Latent Space Conditioning on Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Combating Mode Collapse in GAN Training: An Empirical Analysis using Hessian Eigenvalues.

[BibT_eX]

[DOI]

Avraam Chatzimichailidis

Peter Labus

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

MSM: Multi-stage Multicuts for Scalable Image Clustering.

[BibT_eX]

[DOI]

Kalun Ho

Avraam Chatzimichailidis

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

Combining Transformer Generators with Convolutional Discriminators.

[BibT_eX]

[DOI]

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Sample efficient localization and stage prediction with autoencoders.

[BibT_eX]

[DOI]

Sebastian Hoch

Sascha Lange

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

PHS: A Toolbox for Parallel Hyperparameter Search.

[BibT_eX]

[DOI]

Peter Michael Habelitz

CoRR, 2020

Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts.

[BibT_eX]

[DOI]

Kalun Ho

CoRR, 2020

SmartPred: Unsupervised Hard Disk Failure Detection.

[BibT_eX]

[DOI]

Philipp Rombach

Proceedings of the High Performance Computing, 2020

Python Workflows on HPC Systems.

[BibT_eX]

[DOI]

Dominik Straßel

Philipp Reusch

Proceedings of the 9th IEEE/ACM Workshop on Python for High-Performance and Scientific Computing, 2020

Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches.

[BibT_eX]

[DOI]

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

Local Facial Attribute Transfer through Inpainting.

[BibT_eX]

[DOI]

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

Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Unmasking DeepFakes with simple Features.

[BibT_eX]

[DOI]

CoRR, 2019

Stabilizing GANs with Octave Convolutions.

[BibT_eX]

[DOI]

CoRR, 2019

Scalable Hyperparameter Optimization with Lazy Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Avraam Chatzimichailidis

Nicolas R. Gauger

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

Semi Few-Shot Attribute Translation.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Object Segmentation Using Pixel-Wise Adversarial Loss.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2019

2018

Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant.

[BibT_eX]

[DOI]

Proceedings of the ECML PKDD 2018 Workshops, 2018

2017

Facies classification from well logs using an inception convolutional network.

[BibT_eX]

[DOI]

CoRR, 2017

Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training.

[BibT_eX]

[DOI]

Martin Kuehn

CoRR, 2017

TensorQuant: A Simulation Toolbox for Deep Neural Network Quantization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning on HPC Environments, 2017

2016

Distributed Training of Deep Neuronal Networks: Theoretical and Practical Limits of Parallel Scalability.

[BibT_eX]

[DOI]

CoRR, 2016

Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Learning in HPC Environments, 2016

2015

Balancing the Communication Load of Asynchronously Parallelized Machine Learning Algorithms.

[BibT_eX]

[DOI]

CoRR, 2015

Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, 2015

2011

Generating EPI Representations of 4D Light Fields with a Single Lens Focused Plenoptic Camera.

[BibT_eX]

[DOI]

Sven Wanner

Bernd Jähne

Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

Computing Range Flow from Multi-modal Kinect Data.

[BibT_eX]

[DOI]

Jens-Malte Gottfried

Christoph S. Garbe

Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

2010

Local Rotation Invariant Patch Descriptors for 3D Vector Fields.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Local invariant features for 3D image analysis.

[BibT_eX]

[DOI]

PhD thesis, 2009

A <i>Bag of Features</i> Approach for 3D Shape Retrieval.

[BibT_eX]

[DOI]

Alexander Streicher

Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Cross-Correlation and Rotation Estimation of Local 3D Vector Field Patches.

[BibT_eX]

[DOI]

Marco Reisert

Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

2008

3D rotation invariant local binary patterns.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Fast and Accurate Rotation Estimation on the 2-Sphere without Correspondences.

[BibT_eX]

[DOI]

Marco Reisert

Proceedings of the Computer Vision, 2008

Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields.

[BibT_eX]

[DOI]

Kersten Petersen

Proceedings of the Pattern Recognition, 2008

2007

Harmonic Shape Histograms for 3D Shape Classification and Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Fast Support Vector Machine Classification of Very Large Datasets.

[BibT_eX]

[DOI]

Karina Zapien Arreola

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006

Fast Support Vector Machine Classification using linear SVMs.

[BibT_eX]

[DOI]

Karina Zapien Arreola

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Phase Based 3D Texture Features.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2006

Identifikation von Zellen in intaktem Gewebe.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

2005

Voxel-Wise Gray Scale Invariants for Simultaneous Segmentation and Classification.

[BibT_eX]

[DOI]

Olaf Ronneberger