Manuel Günther

Orcid: 0000-0003-1489-7448

According to our database1, Manuel Günther authored at least 47 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Open-set face recognition with maximal entropy and Objectosphere loss.
Image Vis. Comput., January, 2024

Biased Binary Attribute Classifiers Ignore the Majority Classes.
CoRR, 2024

2023
Large-Scale Open-Set Classification Protocols for ImageNet.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Open-Set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation.
Proceedings of the 36th SIBGRAPI Conference on Graphics, Patterns and Images, 2023

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Consistency and Accuracy of CelebA Attribute Values.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Large-Scale Open-Set Classification Protocols for ImageNet.
CoRR, 2022

Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues.
CoRR, 2022

Agglomerative Clustering with Threshold Optimization via Extreme Value Theory.
Algorithms, 2022

2021
ComFu: Improving Visual Clustering by Commonality Fusion.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
The Overlooked Elephant of Object Detection: Open Set.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

LTV-MPC Based Trajectory Planning Considering Uncertain Object Prediction Through Adaptive Potential Fields.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Watchlist Adaptation: Protecting the Innocent.
Proceedings of the BIOSIG 2020, 2020

Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM).
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Facial attributes: Accuracy and adversarial robustness.
Pattern Recognit. Lett., 2019

Improving Deep Network Robustness to Unknown Inputs with Objectosphere.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Learning and the Unknown: Surveying Steps toward Open World Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Towards Robust Deep Neural Networks with BANG.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Evaluating a Convolutional Neural Network on Short-Wave Infra-Red Images.
Proceedings of the 2018 IEEE Winter Applications of Computer Vision Workshops, 2018

Reducing Network Agnostophobia.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Unconstrained Face Detection and Open-Set Face Recognition Challenge.
CoRR, 2017

A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions.
IEEE Commun. Surv. Tutorials, 2017

Incremental Open Set Intrusion Recognition Using Extreme Value Machine.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

LOTS about attacking deep features.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

AFFACT: Alignment-free facial attribute classification technique.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Unconstrained Face Detection and Open-Set Face Recognition Challenge.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Toward Open-Set Face Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Adversarial Robustness: Softmax versus Openmax.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Exploring LOTS in Deep Neural Networks.
CoRR, 2016

Are facial attributes adversarially robust?
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Are Accuracy and Robustness Correlated.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes.
Proceedings of the Computer Vision - ECCV 2016, 2016

PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey.
Proceedings of the Face Recognition Across the Imaging Spectrum, 2016

2015
Reconstruction of images from Gabor graphs with applications in facial image processing.
Int. J. Wavelets Multiresolution Inf. Process., 2015

Impact of eye detection error on face recognition performance.
IET Biom., 2015

Gender Classification by LUT Based Boosting of Overlapping Block Patterns.
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

2014
Bi-modal biometric authentication on mobile phones in challenging conditions.
Image Vis. Comput., 2014

Score calibration in face recognition.
IET Biom., 2014

2013


2012
Statistical Gabor graph based techniques for the detection, recognition, classification, and visualization of human faces.
PhD thesis, 2012

Bob: a free signal processing and machine learning toolbox for researchers.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Face Recognition with Disparity Corrected Gabor Phase Differences.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2009
Face Detection and Recognition Using Maximum Likelihood Classifiers on Gabor Graphs.
Int. J. Pattern Recognit. Artif. Intell., 2009


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