Margret Keuper
Orcid: 0000-0002-8437-7993Affiliations:
- Mannheim University, Germany
- University of Siegen, Germany (former)
- Max Planck Institute for Informatics, Saarbrücken, Germany (former)
According to our database1,
Margret Keuper
authored at least 97 papers
between 2009 and 2024.
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Bibliography
2024
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization.
Int. J. Comput. Vis., February, 2024
As large as it gets - Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters.
Trans. Mach. Learn. Res., 2024
Learning the essential in less than 2k additional weights - a simple approach to improve image classification stability under corruptions.
Trans. Mach. Learn. Res., 2024
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation.
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters.
Proceedings of the IEEE International Conference on Computational Photography, 2024
2023
Trans. Mach. Learn. Res., 2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
CoRR, 2023
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain.
CoRR, 2023
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling.
CoRR, 2023
An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness.
CoRR, 2023
Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models.
CoRR, 2023
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness.
CoRR, 2023
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
On the unreasonable vulnerability of transformers for image restoration - and an easy fix.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023
An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Pattern Recognition, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Int. J. Document Anal. Recognit., 2021
CoRR, 2021
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Semantic Web - 17th International Conference, 2020
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction.
CoRR, 2019
2018
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation.
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the Pattern Recognition - 39th German Conference, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
CoRR, 2016
Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
Proceedings of the Perspectives in Shape Analysis, 2016
2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
BMC Bioinform., 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF).
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Pattern Recognition, 2012
2011
Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
3D Deformable Surfaces with Locally Self-Adjusting Parameters - A Robust Method to Determine Cell Nucleus Shapes.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the Pattern Recognition, 2010
2009
A 3D Active Surface Model for the Accurate Segmentation of <i>Drosophila</i> Schneider Cell Nuclei and Nucleoli.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009