Self-learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray Scale Invariants. - Janis Fehr; Olaf Ronneberger; Haymo Kurz; Hans Burkhardt (DAGM-Symposium, 2005)

Voxel-Wise Gray Scale Invariants for Simultaneous Segmentation and Classification. - Olaf Ronneberger; Janis Fehr; Hans Burkhardt (DAGM-Symposium, 2005)

Identifikation von Zellen in intaktem Gewebe. - Janis Fehr; Catharina Sauer; Haymo Kurz; Olaf Ronneberger; Hans Burkhardt (Bildverarbeitung für die Medizin, 2006)

Phase Based 3D Texture Features. - Janis Fehr; Hans Burkhardt (DAGM-Symposium, 2006)

Fast Support Vector Machine Classification using linear SVMs. - Karina Zapien Arreola; Janis Fehr; Hans Burkhardt (ICPR (3), 2006)

Fast Support Vector Machine Classification of Very Large Datasets. - Janis Fehr; Karina Zapien Arreola; Hans Burkhardt (GfKl, 2007)

Harmonic Shape Histograms for 3D Shape Classification and Retrieval. - Janis Fehr; Hans Burkhardt (MVA, 2007)

Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields. - Kersten Petersen; Janis Fehr; Hans Burkhardt (DAGM-Symposium, 2008)

Fast and Accurate Rotation Estimation on the 2-Sphere without Correspondences. - Janis Fehr; Marco Reisert; Hans Burkhardt (ECCV (2), 2008)

3D rotation invariant local binary patterns. - Janis Fehr; Hans Burkhardt (ICPR, 2008)

Cross-Correlation and Rotation Estimation of Local 3D Vector Field Patches. - Janis Fehr; Marco Reisert; Hans Burkhardt (ISVC (1), 2009)

A Bag of Features Approach for 3D Shape Retrieval. - Janis Fehr; Alexander Streicher; Hans Burkhardt (ISVC (1), 2009)

Local invariant features for 3D image analysis. - Janis Fehr (2009)

Local Rotation Invariant Patch Descriptors for 3D Vector Fields. - Janis Fehr (ICPR, 2010)

Computing Range Flow from Multi-modal Kinect Data. - Jens-Malte Gottfried; Janis Fehr; Christoph S. Garbe (ISVC (1), 2011)

Generating EPI Representations of 4D Light Fields with a Single Lens Focused Plenoptic Camera. - Sven Wanner; Janis Fehr; Bernd Jähne (ISVC (1), 2011)

Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms. - Janis Keuper; Franz-Josef Pfreundt (MLHPC@SC, 2015)

Balancing the Communication Load of Asynchronously Parallelized Machine Learning Algorithms. - Janis Keuper; Franz-Josef Pfreundt (CoRR, 2015)

Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability. - Janis Keuper; Franz-Josef Pfreundt (MLHPC@SC, 2016)

Distributed Training of Deep Neuronal Networks: Theoretical and Practical Limits of Parallel Scalability. - Janis Keuper (CoRR, 2016)

TensorQuant: A Simulation Toolbox for Deep Neural Network Quantization. - Dominik Marek Loroch; Franz-Josef Pfreundt; Norbert Wehn; Janis Keuper (MLHPC@SC, 2017)

Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training. - Martin Kuehn; Janis Keuper; Franz-Josef Pfreundt (CoRR, 2017)

Facies classification from well logs using an inception convolutional network. - Valentin Tschannen; Matthias Delescluse; Mathieu Rodriguez; Janis Keuper (CoRR, 2017)

Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. - Dominik Marek Loroch; Franz-Josef Pfreundt; Norbert Wehn; Janis Keuper (DMLE/IOTSTREAMING@PKDD/ECML, 2018)

Object Segmentation Using Pixel-Wise Adversarial Loss. - Ricard Durall; Franz-Josef Pfreundt; Ullrich Köthe; Janis Keuper (GCPR, 2019)

Semi Few-Shot Attribute Translation. - Ricard Durall; Franz-Josef Pfreundt; Janis Keuper (IVCNZ, 2019)

GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. - Avraam Chatzimichailidis; Janis Keuper; Franz-Josef Pfreundt; Nicolas R. Gauger (MLHPC@SC, 2019)

Scalable Hyperparameter Optimization with Lazy Gaussian Processes. - Raju Ram; Sabine Müller 001; Franz-Josef Pfreundt; Nicolas R. Gauger; Janis Keuper (MLHPC@SC, 2019)

Stabilizing GANs with Octave Convolutions. - Ricard Durall; Franz-Josef Pfreundt; Janis Keuper (CoRR, 2019)

Unmasking DeepFakes with simple Features. - Ricard Durall; Margret Keuper; Franz-Josef Pfreundt; Janis Keuper (CoRR, 2019)

A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking. - Kalun Ho; Amirhossein Kardoost; Franz-Josef Pfreundt; Janis Keuper; Margret Keuper (ACCV (2), 2020)

Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions. - Ricard Durall; Margret Keuper; Janis Keuper (CVPR, 2020)

Local Facial Attribute Transfer through Inpainting. - Ricard Durall; Franz-Josef Pfreundt; Janis Keuper (ICPR, 2020)

Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. - Kalun Ho; Janis Keuper; Franz-Josef Pfreundt; Margret Keuper (ICPR, 2020)

Python Workflows on HPC Systems. - Dominik Straßel; Philipp Reusch; Janis Keuper (PyHPC@SC, 2020)

SmartPred: Unsupervised Hard Disk Failure Detection. - Philipp Rombach; Janis Keuper (ISC Workshops, 2020)

Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts. - Kalun Ho; Janis Keuper; Margret Keuper (CoRR, 2020)

PHS: A Toolbox for Parallel Hyperparameter Search. - Peter Michael Habelitz; Janis Keuper (CoRR, 2020)

FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. - Ricard Durall Lopez; Jireh Jam; Dominik Strassel; Moi Hoon Yap; Janis Keuper (BMVC, 2021)

Sample efficient localization and stage prediction with autoencoders. - Sebastian Hoch; Sascha Lange; Janis Keuper (ESANN, 2021)

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. - Paula Harder; Franz-Josef Pfreundt; Margret Keuper; Janis Keuper (IJCNN, 2021)

Combining Transformer Generators with Convolutional Discriminators. - Ricard Durall; Stanislav Frolov; Jörn Hees; Federico Raue; Franz-Josef Pfreundt; Andreas Dengel 001; Janis Keuper (KI, 2021)

MSM: Multi-stage Multicuts for Scalable Image Clustering. - Kalun Ho; Avraam Chatzimichailidis; Margret Keuper; Janis Keuper (ISC Workshops, 2021)

Combating Mode Collapse in GAN Training: An Empirical Analysis using Hessian Eigenvalues. - Ricard Durall; Avraam Chatzimichailidis; Peter Labus; Janis Keuper (VISIGRAPP (4: VISAPP), 2021)

Latent Space Conditioning on Generative Adversarial Networks. - Ricard Durall; Kalun Ho; Franz-Josef Pfreundt; Janis Keuper (VISIGRAPP (4: VISAPP), 2021)

Stabilizing GANs with Soft Octave Convolutions. - Ricard Durall; Franz-Josef Pfreundt; Janis Keuper (VISIGRAPP (4: VISAPP), 2021)

A Retail Product Categorisation Dataset. - Febin Sebastian Elayanithottathil; Janis Keuper (CoRR, 2021)

Combining Transformer Generators with Convolutional Discriminators. - Ricard Durall; Stanislav Frolov; Andreas Dengel 001; Janis Keuper (CoRR, 2021)

Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space. - Kalun Ho; Franz-Josef Pfreundt; Janis Keuper; Margret Keuper (CoRR, 2021)

Emulating Aerosol Microphysics with Machine Learning. - Paula Harder; Duncan Watson-Parris; Dominik Strassel; Nicolas R. Gauger; Philip Stier; Janis Keuper (CoRR, 2021)

Detecting AutoAttack Perturbations in the Frequency Domain. - Peter Lorenz; Paula Harder; Dominik Strassel; Margret Keuper; Janis Keuper (CoRR, 2021)

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? - Peter Lorenz; Dominik Strassel; Margret Keuper; Janis Keuper (CoRR, 2021)

Investigating Shifts in GAN Output-Distributions. - Ricard Durall; Janis Keuper (CoRR, 2021)

Adversarial Robustness through the Lens of Convolutional Filters. - Paul Gavrikov; Janis Keuper (CVPR Workshops, 2022)

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. - Paul Gavrikov; Janis Keuper (CVPR, 2022)

FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. - Julia Grabinski; Steffen Jung 001; Janis Keuper; Margret Keuper (ECCV (14), 2022)

Robust Models are less Over-Confident. - Julia Grabinski; Paul Gavrikov; Janis Keuper; Margret Keuper (NeurIPS, 2022)

An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters. - Paul Gavrikov; Janis Keuper (CoRR, 2022)

FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting. - Julia Grabinski; Steffen Jung 001; Janis Keuper; Margret Keuper (CoRR, 2022)

Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal. - Ricard Durall; Ammar Ghanim; Norman Ettrich; Janis Keuper (CoRR, 2022)

Physics-Informed Learning of Aerosol Microphysics. - Paula Harder; Duncan Watson-Parris; Philip Stier; Dominik Strassel; Nicolas R. Gauger; Janis Keuper (CoRR, 2022)

Does Medical Imaging learn different Convolution Filters? - Paul Gavrikov; Janis Keuper (CoRR, 2022)

Aliasing and adversarial robust generalization of CNNs. - Julia Grabinski; Janis Keuper; Margret Keuper (Mach. Learn., 2022)

An Extended Study of Human-like Behavior under Adversarial Training. - Paul Gavrikov; Janis Keuper; Margret Keuper (CVPR Workshops, 2023)

On the Interplay of Convolutional Padding and Adversarial Robustness. - Paul Gavrikov; Janis Keuper (ICCV (Workshops), 2023)

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality. - Peter Lorenz; Ricard L. Durall; Janis Keuper (ICCV (Workshops), 2023)

Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. - Peter Lorenz; Margret Keuper; Janis Keuper (VISIGRAPP (5: VISAPP), 2023)

Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters? - Paul Gavrikov; Janis Keuper (CoRR, 2023)

Fine-Grained Product Classification on Leaflet Advertisements. - Daniel Ladwig; Bianca Lamm; Janis Keuper (CoRR, 2023)

On Invariance, Equivariance, Correlation and Convolution of Spherical Harmonic Representations for Scalar and Vectorial Data. - Janis Keuper (CoRR, 2023)

Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning. - Lars Nieradzik; Jördis Sieburg-Rockel; Stephanie Helmling; Janis Keuper; Thomas Weibel; Andrea Olbrich; Henrike Stephani (CoRR, 2023)

Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling. - Julia Grabinski; Janis Keuper; Margret Keuper (CoRR, 2023)

As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain. - Julia Grabinski; Janis Keuper; Margret Keuper (CoRR, 2023)

Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers. - Paul Gavrikov; Janis Keuper (CoRR, 2023)

Retail-786k: a Large-Scale Dataset for Visual Entity Matching. - Bianca Lamm; Janis Keuper (CoRR, 2023)

Improving Native CNN Robustness with Filter Frequency Regularization. - Jovita Lukasik; Paul Gavrikov; Janis Keuper; Margret Keuper (Trans. Mach. Learn. Res., 2023)

Deep diffusion models for seismic processing. - Ricard Durall; Ammar Ghanim; Mario Ruben Fernandez; Norman Ettrich; Janis Keuper (Comput. Geosci., 2023)

Can Biases in ImageNet Models Explain Generalization? - Paul Gavrikov; Janis Keuper (CVPR, 2024)

Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets. - Patrick Grommelt; Louis Weiss; Franz-Josef Pfreundt; Janis Keuper (ECCV Workshops (22), 2024)

Top-GAP: Integrating Size Priors in CNNs for More Interpretability, Robustness, and Bias Mitigation. - Lars Nieradzik; Henrike Stephani; Janis Keuper (ECCV Workshops (21), 2024)

Adversarial Examples are Misaligned in Diffusion Model Manifolds. - Peter Lorenz; Ricard Durall; Janis Keuper (IJCNN, 2024)

Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry. - Lars Nieradzik; Henrike Stephani; Jördis Sieburg-Rockel; Stephanie Helmling; Andrea Olbrich; Janis Keuper (VISIGRAPP (2): VISAPP, 2024)

Are Vision Language Models Texture or Shape Biased and Can We Steer Them? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Bianca Lamm; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (CoRR, 2024)

Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of Complex Physical Systems. - Martin Spitznagel; Janis Keuper (CoRR, 2024)

Ambiguous Annotations: When is a Pedestrian not a Pedestrian? - Luisa Schwirten; Jannes Scholz; Daniel Kondermann; Janis Keuper (CoRR, 2024)

Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration. - Shashank Agnihotri; Julia Grabinski; Janis Keuper; Margret Keuper (CoRR, 2024)

Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail. - Bianca Lamm; Janis Keuper (CoRR, 2024)

How Do Training Methods Influence the Utilization of Vision Models? - Paul Gavrikov; Shashank Agnihotri; Margret Keuper; Janis Keuper (CoRR, 2024)

WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images. - Lars Nieradzik; Henrike Stephani; Jördis Sieburg-Rockel; Stephanie Helmling; Andrea Olbrich; Stephanie Wrage; Janis Keuper (CoRR, 2024)

As large as it gets - Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters. - Julia Grabinski; Janis Keuper; Margret Keuper (Trans. Mach. Learn. Res., 2024)

A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification. - Bianca Lamm; Janis Keuper (CVPR Workshops, 2025)

PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations? - Martin Spitznagel; Jan Vaillant; Janis Keuper (CVPR, 2025)

Can We Talk Models Into Seeing the World Differently? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (ICLR, 2025)

Foundation Models For Seismic Data Processing: An Extensive Review. - Fabian Fuchs; Mario Ruben Fernandez; Norman Ettrich; Janis Keuper (CoRR, 2025)

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach. - Lars Nieradzik; Henrike Stephani; Janis Keuper (Int. J. Comput. Vis., 2025)