Margret Keuper

5.5k total citations · 1 hit paper
35 papers, 2.6k citations indexed

About

Margret Keuper is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Margret Keuper has authored 35 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Biophysics. Recurrent topics in Margret Keuper's work include Adversarial Robustness in Machine Learning (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Neural Network Applications (5 papers). Margret Keuper is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Neural Network Applications (5 papers). Margret Keuper collaborates with scholars based in Germany, India and United Kingdom. Margret Keuper's co-authors include Thomas Brox, N. Michael Mayer, Tonmoy Saikia, Alexey Dosovitskiy, Eddy Ilg, Janis Keuper, Ricard Durall, Bjoern Andres, Bernt Schiele and Mario Fritz and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, BMC Bioinformatics and International Journal of Computer Vision.

In The Last Decade

Margret Keuper

33 papers receiving 2.6k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

2017 1.9k citations Eddy Ilg, N. Michael Mayer et al. profile →

Peers

Countries citing papers authored by Margret Keuper

Since Specialization

Citations

This map shows the geographic impact of Margret Keuper's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Margret Keuper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margret Keuper more than expected).

Fields of papers citing papers by Margret Keuper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margret Keuper. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Margret Keuper. The network helps show where Margret Keuper may publish in the future.

Co-authorship network of co-authors of Margret Keuper

This figure shows the co-authorship network connecting the top 25 collaborators of Margret Keuper. A scholar is included among the top collaborators of Margret Keuper based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margret Keuper. Margret Keuper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation 2025 ·(unknown), Margret Keuper, Mario Fritz	1
2	Global Dynamics of Climate Change Imagery: Emotional and Engagement Effects Across Visual Frames on Twitter/X 2025 ·Science Communication ·(unknown), (unknown), Stefanie Walter, (unknown), Margret Keuper	0
3	Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models 2025 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Alexander Braun, Margret Keuper	1
4	FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training 2025 ·(unknown), (unknown), Margret Keuper	1
5	An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness 2024 ·International Journal of Computer Vision ·(unknown), Michael Moeller, Margret Keuper	1
6	Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters 2024 ·MADOC (University of Mannheim) ·(unknown), (unknown), (unknown), Michael Moeller, Margret Keuper, Bhaskar Choubey, Andreas Kolb	1
7	Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection 2023 ·Opus-HSO (Offenburg University of Applied Sciences) ·(unknown), Margret Keuper, Janis Keuper	2
8	Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization 2023 ·International Journal of Computer Vision ·(unknown), Dan Zhang, Margret Keuper, Anna Khoreva	4
9	On the unreasonable vulnerability of transformers for image restoration – and an easy fix 2023 ·MADOC (University of Mannheim) ·(unknown), (unknown), (unknown), (unknown), Margret Keuper	1
10	An Extended Study of Human-like Behavior under Adversarial Training 2023 ·Opus-HSO (Offenburg University of Applied Sciences) ·(unknown), Janis Keuper, Margret Keuper	1
11	Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders 2021 ·Neural Information Processing Systems ·(unknown), (unknown), Stefan Falkner, Margret Keuper	1
12	Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis 2021 ·(unknown), Ning Yu, Margret Keuper, Mario Fritz	40
13	Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions 2020 ·Opus-HSO (Offenburg University of Applied Sciences) ·Ricard Durall, Margret Keuper, Janis Keuper	205
14	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks breakdown → 2017 ·Eddy Ilg, N. Michael Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox	1940
15	Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation 2017 ·Margret Keuper	12
16	STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling 2017 ·Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz	84
17	Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation 2014 ·Max Planck Digital Library ·Fabio Galasso, Margret Keuper, Thomas Brox, Bernt Schiele	41
18	Variational attenuation correction in two-view confocal microscopy 2013 ·BMC Bioinformatics ·Thorsten Schmidt, (unknown), Margret Keuper, Thomas Blein, Klaus Palme, Olaf Ronneberger	1
19	Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF) 2013 ·Repository of Futwangen University of Applied Sciences (Furtwangen University) ·Margret Keuper, Thorsten Schmidt, (unknown), Jan Padeken, Patrick Heun, Olaf Ronneberger, Thomas Brox	13
20	Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces 2010 ·MADOC (University of Mannheim) ·Margret Keuper, Hans Burkhardt, Olaf Ronneberger, Jan Padeken, Patrick Heun	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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