Janis Keuper

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 90

Top Topics

Diffusion Models

Top Venues

VISIGRAPP (4: VISAPP)

Publications

Martin Spitznagel, Janis Keuper
Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of Complex Physical Systems. CoRR (2024)
Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR (2024)
Peter Lorenz, Ricard Durall, Janis Keuper
Adversarial Examples are Misaligned in Diffusion Model Manifolds. CoRR (2024)
Luisa Schwirten, Jannes Scholz, Daniel Kondermann, Janis Keuper
Ambiguous Annotations: When is a Pedestrian not a Pedestrian? CoRR (2024)
Paul Gavrikov, Janis Keuper
Can Biases in ImageNet Models Explain Generalization? CoRR (2024)
Julia Grabinski, Janis Keuper, Margret Keuper
As large as it gets - Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters. Trans. Mach. Learn. Res. 2024 (2024)
Shashank Agnihotri, Julia Grabinski, Janis Keuper, Margret Keuper
Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration. CoRR (2024)
Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Janis Keuper
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry. VISIGRAPP (2): VISAPP (2024)
Patrick Grommelt, Louis Weiss, Franz-Josef Pfreundt, Janis Keuper
Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets. CoRR (2024)
Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Janis Keuper
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry. CoRR (2024)
Paul Gavrikov, Janis Keuper, Margret Keuper
An Extended Study of Human-like Behavior under Adversarial Training. CoRR (2023)
Lars Nieradzik, Jördis Sieburg-Rockel, Stephanie Helmling, Janis Keuper, Thomas Weibel, Andrea Olbrich, Henrike Stephani
Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning. CoRR (2023)
Peter Lorenz, Margret Keuper, Janis Keuper
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. VISIGRAPP (5: VISAPP) (2023)
Paul Gavrikov, Janis Keuper
Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers. CoRR (2023)
Daniel Ladwig, Bianca Lamm, Janis Keuper
Fine-Grained Product Classification on Leaflet Advertisements. CoRR (2023)
Paul Gavrikov, Janis Keuper
On the Interplay of Convolutional Padding and Adversarial Robustness. CoRR (2023)
Paul Gavrikov, Janis Keuper, Margret Keuper
An Extended Study of Human-like Behavior under Adversarial Training. CVPR Workshops (2023)
Paul Gavrikov, Janis Keuper
On the Interplay of Convolutional Padding and Adversarial Robustness. ICCV (Workshops) (2023)
Julia Grabinski, Janis Keuper, Margret Keuper
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain. CoRR (2023)
Janis Keuper
On Invariance, Equivariance, Correlation and Convolution of Spherical Harmonic Representations for Scalar and Vectorial Data. CoRR (2023)
Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper
Improving Native CNN Robustness with Filter Frequency Regularization. Trans. Mach. Learn. Res. 2023 (2023)
Paul Gavrikov, Janis Keuper
Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters? CoRR (2023)
Bianca Lamm, Janis Keuper
Retail-786k: a Large-Scale Dataset for Visual Entity Matching. CoRR (2023)
Peter Lorenz, Ricard Durall, Janis Keuper
Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality. CoRR (2023)
Peter Lorenz, Ricard L. Durall, Janis Keuper
Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality. ICCV (Workshops) (2023)
Ricard Durall, Ammar Ghanim, Mario Ruben Fernandez, Norman Ettrich, Janis Keuper
Deep diffusion models for seismic processing. Comput. Geosci. 177 (2023)
Julia Grabinski, Janis Keuper, Margret Keuper
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling. CoRR (2023)
Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper
FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. ECCV (14) (2022)
Paul Gavrikov, Janis Keuper
Does Medical Imaging learn different Convolution Filters? CoRR (2022)
Paul Gavrikov, Janis Keuper
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. CoRR (2022)
Julia Grabinski, Janis Keuper, Margret Keuper
Aliasing and adversarial robust generalization of CNNs. Mach. Learn. 111 (11) (2022)
Peter Lorenz, Margret Keuper, Janis Keuper
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. CoRR (2022)
Paul Gavrikov, Janis Keuper
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. CVPR (2022)
Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper
Robust Models are less Over-Confident. CoRR (2022)
Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper
Physics-Informed Learning of Aerosol Microphysics. CoRR (2022)
Ricard Durall, Ammar Ghanim, Norman Ettrich, Janis Keuper
Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal. CoRR (2022)
Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper
Robust Models are less Over-Confident. NeurIPS (2022)
Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper
FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting. CoRR (2022)
Paul Gavrikov, Janis Keuper
Adversarial Robustness through the Lens of Convolutional Filters. CoRR (2022)
Paul Gavrikov, Janis Keuper
Adversarial Robustness through the Lens of Convolutional Filters. CVPR Workshops (2022)
Paul Gavrikov, Janis Keuper
An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters. CoRR (2022)
Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper
Emulating Aerosol Microphysics with Machine Learning. CoRR (2021)
Peter Lorenz, Dominik Strassel, Margret Keuper, Janis Keuper
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? CoRR (2021)
Ricard Durall, Avraam Chatzimichailidis, Peter Labus, Janis Keuper
Combating Mode Collapse in GAN Training: An Empirical Analysis using Hessian Eigenvalues. VISIGRAPP (4: VISAPP) (2021)
Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. IJCNN (2021)
Ricard Durall, Janis Keuper
Investigating Shifts in GAN Output-Distributions. CoRR (2021)
Sebastian Hoch, Sascha Lange, Janis Keuper
Sample efficient localization and stage prediction with autoencoders. ESANN (2021)
Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
Stabilizing GANs with Soft Octave Convolutions. VISIGRAPP (4: VISAPP) (2021)
Kalun Ho, Avraam Chatzimichailidis, Margret Keuper, Janis Keuper
MSM: Multi-stage Multicuts for Scalable Image Clustering. ISC Workshops (2021)
Febin Sebastian Elayanithottathil, Janis Keuper
A Retail Product Categorisation Dataset. CoRR (2021)
Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper
Combining Transformer Generators with Convolutional Discriminators. KI (2021)
Ricard Durall, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. CoRR (2021)
Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. CoRR (2021)
Ricard Durall, Stanislav Frolov, Andreas Dengel, Janis Keuper
Combining Transformer Generators with Convolutional Discriminators. CoRR (2021)
Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper
Detecting AutoAttack Perturbations in the Frequency Domain. CoRR (2021)
Ricard Durall, Kalun Ho, Franz-Josef Pfreundt, Janis Keuper
Latent Space Conditioning on Generative Adversarial Networks. VISIGRAPP (4: VISAPP) (2021)
Kalun Ho, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space. CoRR (2021)
Ricard Durall Lopez, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper
FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. BMVC (2021)
Ricard Durall, Kalun Ho, Franz-Josef Pfreundt, Janis Keuper
Latent Space Conditioning on Generative Adversarial Networks. CoRR (2020)
Peter Michael Habelitz, Janis Keuper
PHS: A Toolbox for Parallel Hyperparameter Search. CoRR (2020)
Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
Local Facial Attribute Transfer through Inpainting. ICPR (2020)
Ricard Durall, Margret Keuper, Janis Keuper
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions. CVPR (2020)
Ricard Durall, Margret Keuper, Janis Keuper
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions. CoRR (2020)
Kalun Ho, Janis Keuper, Margret Keuper
Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts. CoRR (2020)
Kalun Ho, Amirhossein Kardoost, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper
A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking. ACCV (2) (2020)
Dominik Strassel, Philipp Reusch, Janis Keuper
Python Workflows on HPC Systems. CoRR (2020)
Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. CoRR (2020)
Ricard Durall, Avraam Chatzimichailidis, Peter Labus, Janis Keuper
Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues. CoRR (2020)
Philipp Rombach, Janis Keuper
SmartPred: Unsupervised Hard Disk Failure Detection. ISC Workshops (2020)
Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
Local Facial Attribute Transfer through Inpainting. CoRR (2020)
Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. ICPR (2020)
Dominik Straßel, Philipp Reusch, Janis Keuper
Python Workflows on HPC Systems. PyHPC@SC (2020)
Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
Scalable Hyperparameter Optimization with Lazy Gaussian Processes. CoRR (2020)
Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
Scalable Hyperparameter Optimization with Lazy Gaussian Processes. MLHPC@SC (2019)
Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper
Object Segmentation using Pixel-wise Adversarial Loss. CoRR (2019)
Ricard Durall, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper
Unmasking DeepFakes with simple Features. CoRR (2019)
Avraam Chatzimichailidis, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. CoRR (2019)
Avraam Chatzimichailidis, Janis Keuper, Franz-Josef Pfreundt, Nicolas R. Gauger
GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. MLHPC@SC (2019)
Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper
Object Segmentation Using Pixel-Wise Adversarial Loss. GCPR (2019)
Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
Semi Few-Shot Attribute Translation. CoRR (2019)
Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
Stabilizing GANs with Octave Convolutions. CoRR (2019)
Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
Semi Few-Shot Attribute Translation. IVCNZ (2019)
Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. CoRR (2018)
Valentin Tschannen, Matthias Delescluse, Mathieu Rodriguez, Janis Keuper
Facies classification from well logs using an inception convolutional network. CoRR (2017)
Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
TensorQuant: A Simulation Toolbox for Deep Neural Network Quantization. MLHPC@SC (2017)
Martin Kuehn, Janis Keuper, Franz-Josef Pfreundt
Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training. CoRR (2017)
Dominik Marek Loroch, Norbert Wehn, Franz-Josef Pfreundt, Janis Keuper
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization. CoRR (2017)
Janis Keuper, Franz-Josef Pfreundt
Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability. MLHPC@SC (2016)
Janis Keuper
Distributed Training of Deep Neuronal Networks: Theoretical and Practical Limits of Parallel Scalability. CoRR (2016)
Janis Keuper, Franz-Josef Pfreundt
Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms. MLHPC@SC (2015)
Janis Keuper, Franz-Josef Pfreundt
Asynchronous Parallel Stochastic Gradient Descent - A Numeric Core for Scalable Distributed Machine Learning Algorithms. CoRR (2015)
Janis Keuper, Franz-Josef Pfreundt
Balancing the Communication Load of Asynchronously Parallelized Machine Learning Algorithms. CoRR (2015)