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Margret Keuper

Hochschullehrerin

Name	Margret Keuper
Place	Deutschland
Academic degree	Dr. Prof.
Profession	Hochschullehrerin
Related	Universität Mannheim (Professorin für Computer Vision and Machine Learning) Universität Siegen (Professorin für Visual Computing) Biologie (Studienfach) Bildinformatik (Thema)
Further information	Diss. 2012, Universität Freiburg, Technische Fakultät
Record type	Person
GND-Identifier	1104849321
Record ID	1104849321
Involved in show all Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models Impact of Visual Range Optical Blur Aberrations on Deep Learning based Models for Image Classification and Object Detection Improving alignment and controllability in GANs and diffusion models Improving Robustness of Perception DNNs in Various Domains Multifaceted analysis of deep convolutional neural networks and novel fourier modules New frontiers in neural probabilistic scoring : from attention to output generation in vision and language Learning deep visual features for Minimum Cost Multicut Problem Minimum cost multicuts for image and motion segmentation Optimizing the latent space of deep generative models Aliasing and adversarial robust generalization of CNNs Arrow R-CNN for handwritten diagram recognition Arrow R-CNN for handwritten diagram recognition Variational attenuation correction in two-view confocal microscopy Segmentation of cells and sub-cellular structures from microscopic recordings = Segmentierung von Zellen und subzellulären Strukturen in mikroskopischen Aufnahmen Variational attenuation correction in two-view confocal microscopy

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Margret Keuper

Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models

Impact of Visual Range Optical Blur Aberrations on Deep Learning based Models for Image Classification and Object Detection

Improving alignment and controllability in GANs and diffusion models

Improving Robustness of Perception DNNs in Various Domains

Multifaceted analysis of deep convolutional neural networks and novel fourier modules

New frontiers in neural probabilistic scoring : from attention to output generation in vision and language

Learning deep visual features for Minimum Cost Multicut Problem

Minimum cost multicuts for image and motion segmentation

Optimizing the latent space of deep generative models

Aliasing and adversarial robust generalization of CNNs

Arrow R-CNN for handwritten diagram recognition

Arrow R-CNN for handwritten diagram recognition

Variational attenuation correction in two-view confocal microscopy

Segmentation of cells and sub-cellular structures from microscopic recordings = Segmentierung von Zellen und subzellulären Strukturen in mikroskopischen Aufnahmen

Variational attenuation correction in two-view confocal microscopy