Janis Keuper - RankMe

117 papers A* 6A 1B 5Misc 2Journal 78Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking PDF Parsers on Table Extraction with LLM-based Semantic Evaluation. CoRR Pius Horn, Janis Keuper
2026	J	`jnl`	mSOP-765k: A Benchmark For Multi-Modal Structured Output Predictions. Trans. Mach. Learn. Res. Bianca Lamm, Janis Keuper
2025	—	`conf`	A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification. CVPR Workshops Bianca Lamm, Janis Keuper
2025	J	`jnl`	A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification. CoRR Bianca Lamm, Janis Keuper
2025	—	`conf`	Assessing Foundation Models for Mold Colony Detection with Limited Training Data. DAGM GCPR Henrik Pichler, Janis Keuper, Matthew Copping
2025	J	`jnl`	Assessing Foundation Models for Mold Colony Detection with Limited Training Data. CoRR Henrik Pichler, Janis Keuper, Matthew Copping
2025	J	`jnl`	Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs. CoRR Pius Horn, Janis Keuper
2025	A*	`conf`	Can We Talk Models Into Seeing the World Differently? ICLR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2025	J	`jnl`	Deepfakes: we need to re-think the concept of "real" images. CoRR Janis Keuper, Margret Keuper
2025	J	`jnl`	Foundation Models For Seismic Data Processing: An Extensive Review. CoRR Fabian Fuchs, Mario Ruben Fernandez, Norman Ettrich, Janis Keuper
2025	J	`jnl`	In-Context Learning for Seismic Data Processing. CoRR Fabian Fuchs, Mario Ruben Fernandez, Norman Ettrich, Janis Keuper
2025	A*	`conf`	PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations? CVPR Martin Spitznagel, Jan Vaillant, Janis Keuper
2025	J	`jnl`	PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations? CoRR Martin Spitznagel, Jan Vaillant, Janis Keuper
2025	J	`jnl`	Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications. CoRR Janis Keuper
2025	J	`jnl`	Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows. CoRR Achim Eckerle, Martin Spitznagel, Janis Keuper
2025	J	`jnl`	Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach. Int. J. Comput. Vis. Lars Nieradzik, Henrike Stephani, Janis Keuper
2024	B	`conf`	Adversarial Examples are Misaligned in Diffusion Model Manifolds. IJCNN Peter Lorenz, Ricard Durall, Janis Keuper
2024	J	`jnl`	Adversarial Examples are Misaligned in Diffusion Model Manifolds. CoRR Peter Lorenz, Ricard Durall, Janis Keuper
2024	J	`jnl`	Ambiguous Annotations: When is a Pedestrian not a Pedestrian? CoRR Luisa Schwirten, Jannes Scholz, Daniel Kondermann, Janis Keuper
2024	J	`jnl`	Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper
2024	J	`jnl`	As large as it gets - Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters. Trans. Mach. Learn. Res. Julia Grabinski, Janis Keuper, Margret Keuper
2024	J	`jnl`	Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration. CoRR Shashank Agnihotri, Julia Grabinski, Janis Keuper, Margret Keuper
2024	A*	`conf`	Can Biases in ImageNet Models Explain Generalization? CVPR Paul Gavrikov, Janis Keuper
2024	J	`jnl`	Can Biases in ImageNet Models Explain Generalization? CoRR Paul Gavrikov, Janis Keuper
2024	J	`jnl`	Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail. CoRR Bianca Lamm, Janis Keuper
2024	—	`conf`	Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry. VISIGRAPP (2): VISAPP Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Janis Keuper
2024	J	`jnl`	Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry. CoRR Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Janis Keuper
2024	—	`conf`	Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets. ECCV Workshops (22) Patrick Grommelt, Louis Weiss, Franz-Josef Pfreundt, Janis Keuper
2024	J	`jnl`	Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets. CoRR Patrick Grommelt, Louis Weiss, Franz-Josef Pfreundt, Janis Keuper
2024	J	`jnl`	How Do Training Methods Influence the Utilization of Vision Models? CoRR Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper
2024	J	`jnl`	Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach. CoRR Lars Nieradzik, Henrike Stephani, Janis Keuper
2024	—	`conf`	Top-GAP: Integrating Size Priors in CNNs for More Interpretability, Robustness, and Bias Mitigation. ECCV Workshops (21) Lars Nieradzik, Henrike Stephani, Janis Keuper
2024	J	`jnl`	Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation. CoRR Lars Nieradzik, Henrike Stephani, Janis Keuper
2024	J	`jnl`	Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of Complex Physical Systems. CoRR Martin Spitznagel, Janis Keuper
2024	J	`jnl`	WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images. CoRR Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Stephanie Wrage, Janis Keuper
2023	—	`conf`	An Extended Study of Human-like Behavior under Adversarial Training. CVPR Workshops Paul Gavrikov, Janis Keuper, Margret Keuper
2023	J	`jnl`	An Extended Study of Human-like Behavior under Adversarial Training. CoRR Paul Gavrikov, Janis Keuper, Margret Keuper
2023	J	`jnl`	As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain. CoRR Julia Grabinski, Janis Keuper, Margret Keuper
2023	J	`jnl`	Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning. CoRR Lars Nieradzik, Jördis Sieburg-Rockel, Stephanie Helmling, Janis Keuper, Thomas Weibel, Andrea Olbrich, Henrike Stephani
2023	J	`jnl`	Deep diffusion models for seismic processing. Comput. Geosci. Ricard Durall, Ammar Ghanim, Mario Ruben Fernandez, Norman Ettrich, Janis Keuper
2023	—	`conf`	Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality. ICCV (Workshops) Peter Lorenz, Ricard L. Durall, Janis Keuper
2023	J	`jnl`	Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers. CoRR Paul Gavrikov, Janis Keuper
2023	J	`jnl`	Fine-Grained Product Classification on Leaflet Advertisements. CoRR Daniel Ladwig, Bianca Lamm, Janis Keuper
2023	J	`jnl`	Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling. CoRR Julia Grabinski, Janis Keuper, Margret Keuper
2023	J	`jnl`	Improving Native CNN Robustness with Filter Frequency Regularization. Trans. Mach. Learn. Res. Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper
2023	J	`jnl`	On Invariance, Equivariance, Correlation and Convolution of Spherical Harmonic Representations for Scalar and Vectorial Data. CoRR Janis Keuper
2023	—	`conf`	On the Interplay of Convolutional Padding and Adversarial Robustness. ICCV (Workshops) Paul Gavrikov, Janis Keuper
2023	J	`jnl`	On the Interplay of Convolutional Padding and Adversarial Robustness. CoRR Paul Gavrikov, Janis Keuper
2023	J	`jnl`	Retail-786k: a Large-Scale Dataset for Visual Entity Matching. CoRR Bianca Lamm, Janis Keuper
2023	J	`jnl`	Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters? CoRR Paul Gavrikov, Janis Keuper
2023	—	`conf`	Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. VISIGRAPP (5: VISAPP) Peter Lorenz, Margret Keuper, Janis Keuper
2022	—	`conf`	Adversarial Robustness through the Lens of Convolutional Filters. CVPR Workshops Paul Gavrikov, Janis Keuper
2022	J	`jnl`	Adversarial Robustness through the Lens of Convolutional Filters. CoRR Paul Gavrikov, Janis Keuper
2022	J	`jnl`	Aliasing and adversarial robust generalization of CNNs. Mach. Learn. Julia Grabinski, Janis Keuper, Margret Keuper
2022	J	`jnl`	An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters. CoRR Paul Gavrikov, Janis Keuper
2022	A*	`conf`	CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. CVPR Paul Gavrikov, Janis Keuper
2022	J	`jnl`	CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. CoRR Paul Gavrikov, Janis Keuper
2022	J	`jnl`	Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal. CoRR Ricard Durall, Ammar Ghanim, Norman Ettrich, Janis Keuper
2022	J	`jnl`	Does Medical Imaging learn different Convolution Filters? CoRR Paul Gavrikov, Janis Keuper
2022	J	`jnl`	FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting. CoRR Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper
2022	—	`conf`	FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting. ECCV (14) Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper
2022	J	`jnl`	Physics-Informed Learning of Aerosol Microphysics. CoRR Paula Harder, Duncan Watson-Parris, Philip Stier, Dominik Strassel, Nicolas R. Gauger, Janis Keuper
2022	A*	`conf`	Robust Models are less Over-Confident. NeurIPS Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper
2022	J	`jnl`	Robust Models are less Over-Confident. CoRR Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper
2022	J	`jnl`	Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. CoRR Peter Lorenz, Margret Keuper, Janis Keuper
2021	J	`jnl`	A Retail Product Categorisation Dataset. CoRR Febin Sebastian Elayanithottathil, Janis Keuper
2021	—	`conf`	Combating Mode Collapse in GAN Training: An Empirical Analysis using Hessian Eigenvalues. VISIGRAPP (4: VISAPP) Ricard Durall, Avraam Chatzimichailidis, Peter Labus, Janis Keuper
2021	Misc	`conf`	Combining Transformer Generators with Convolutional Discriminators. KI Ricard Durall, Stanislav Frolov, Jörn Hees, Federico Raue, Franz-Josef Pfreundt, Andreas Dengel, Janis Keuper
2021	J	`jnl`	Combining Transformer Generators with Convolutional Discriminators. CoRR Ricard Durall, Stanislav Frolov, Andreas Dengel, Janis Keuper
2021	J	`jnl`	Detecting AutoAttack Perturbations in the Frequency Domain. CoRR Peter Lorenz, Paula Harder, Dominik Strassel, Margret Keuper, Janis Keuper
2021	J	`jnl`	Emulating Aerosol Microphysics with Machine Learning. CoRR Paula Harder, Duncan Watson-Parris, Dominik Strassel, Nicolas R. Gauger, Philip Stier, Janis Keuper
2021	J	`jnl`	Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space. CoRR Kalun Ho, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper
2021	A	`conf`	FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. BMVC Ricard Durall Lopez, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper
2021	J	`jnl`	FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces. CoRR Ricard Durall, Jireh Jam, Dominik Strassel, Moi Hoon Yap, Janis Keuper
2021	J	`jnl`	Investigating Shifts in GAN Output-Distributions. CoRR Ricard Durall, Janis Keuper
2021	J	`jnl`	Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? CoRR Peter Lorenz, Dominik Strassel, Margret Keuper, Janis Keuper
2021	—	`conf`	Latent Space Conditioning on Generative Adversarial Networks. VISIGRAPP (4: VISAPP) Ricard Durall, Kalun Ho, Franz-Josef Pfreundt, Janis Keuper
2021	—	`conf`	MSM: Multi-stage Multicuts for Scalable Image Clustering. ISC Workshops Kalun Ho, Avraam Chatzimichailidis, Margret Keuper, Janis Keuper
2021	B	`conf`	Sample efficient localization and stage prediction with autoencoders. ESANN Sebastian Hoch, Sascha Lange, Janis Keuper
2021	B	`conf`	SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. IJCNN Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper
2021	J	`jnl`	SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. CoRR Paula Harder, Franz-Josef Pfreundt, Margret Keuper, Janis Keuper
2021	—	`conf`	Stabilizing GANs with Soft Octave Convolutions. VISIGRAPP (4: VISAPP) Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
2020	—	`conf`	A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking. ACCV (2) Kalun Ho, Amirhossein Kardoost, Franz-Josef Pfreundt, Janis Keuper, Margret Keuper
2020	J	`jnl`	Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues. CoRR Ricard Durall, Avraam Chatzimichailidis, Peter Labus, Janis Keuper
2020	J	`jnl`	Latent Space Conditioning on Generative Adversarial Networks. CoRR Ricard Durall, Kalun Ho, Franz-Josef Pfreundt, Janis Keuper
2020	B	`conf`	Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. ICPR Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper
2020	J	`jnl`	Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches. CoRR Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, Margret Keuper
2020	B	`conf`	Local Facial Attribute Transfer through Inpainting. ICPR Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
2020	J	`jnl`	Local Facial Attribute Transfer through Inpainting. CoRR Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
2020	J	`jnl`	PHS: A Toolbox for Parallel Hyperparameter Search. CoRR Peter Michael Habelitz, Janis Keuper
2020	—	`conf`	Python Workflows on HPC Systems. PyHPC@SC Dominik Straßel, Philipp Reusch, Janis Keuper
2020	J	`jnl`	Python Workflows on HPC Systems. CoRR Dominik Strassel, Philipp Reusch, Janis Keuper
2020	J	`jnl`	Scalable Hyperparameter Optimization with Lazy Gaussian Processes. CoRR Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
2020	—	`conf`	SmartPred: Unsupervised Hard Disk Failure Detection. ISC Workshops Philipp Rombach, Janis Keuper
2020	J	`jnl`	Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts. CoRR Kalun Ho, Janis Keuper, Margret Keuper
2020	A*	`conf`	Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions. CVPR Ricard Durall, Margret Keuper, Janis Keuper
2020	J	`jnl`	Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions. CoRR Ricard Durall, Margret Keuper, Janis Keuper
2019	—	`conf`	GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. MLHPC@SC Avraam Chatzimichailidis, Janis Keuper, Franz-Josef Pfreundt, Nicolas R. Gauger
2019	J	`jnl`	GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks. CoRR Avraam Chatzimichailidis, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
2019	—	`conf`	Object Segmentation Using Pixel-Wise Adversarial Loss. GCPR Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper
2019	J	`jnl`	Object Segmentation using Pixel-wise Adversarial Loss. CoRR Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper
2019	—	`conf`	Scalable Hyperparameter Optimization with Lazy Gaussian Processes. MLHPC@SC Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
2019	Misc	`conf`	Semi Few-Shot Attribute Translation. IVCNZ Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
2019	J	`jnl`	Semi Few-Shot Attribute Translation. CoRR Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
2019	J	`jnl`	Stabilizing GANs with Octave Convolutions. CoRR Ricard Durall, Franz-Josef Pfreundt, Janis Keuper
2019	J	`jnl`	Unmasking DeepFakes with simple Features. CoRR Ricard Durall, Margret Keuper, Franz-Josef Pfreundt, Janis Keuper
2018	—	`conf`	Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. DMLE/IOTSTREAMING@PKDD/ECML Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
2018	J	`jnl`	Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. CoRR Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
2017	J	`jnl`	Facies classification from well logs using an inception convolutional network. CoRR Valentin Tschannen, Matthias Delescluse, Mathieu Rodriguez, Janis Keuper
2017	J	`jnl`	TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization. CoRR Dominik Marek Loroch, Norbert Wehn, Franz-Josef Pfreundt, Janis Keuper
2017	—	`conf`	TensorQuant: A Simulation Toolbox for Deep Neural Network Quantization. MLHPC@SC Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper
2017	J	`jnl`	Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training. CoRR Martin Kuehn, Janis Keuper, Franz-Josef Pfreundt
2016	—	`conf`	Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability. MLHPC@SC Janis Keuper, Franz-Josef Pfreundt
2016	J	`jnl`	Distributed Training of Deep Neuronal Networks: Theoretical and Practical Limits of Parallel Scalability. CoRR Janis Keuper
2015	J	`jnl`	Asynchronous Parallel Stochastic Gradient Descent - A Numeric Core for Scalable Distributed Machine Learning Algorithms. CoRR Janis Keuper, Franz-Josef Pfreundt
2015	—	`conf`	Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms. MLHPC@SC Janis Keuper, Franz-Josef Pfreundt
2015	J	`jnl`	Balancing the Communication Load of Asynchronously Parallelized Machine Learning Algorithms. CoRR Janis Keuper, Franz-Josef Pfreundt