Manuel Günther

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 52

Top Venues

Technische Universität Ilmenau, Germany (PHD)

Education History

Technische Universität Ilmenau, Germany

PHD

Publications

Özgür Acar Güler, Manuel Günther, André Anjos
Refining Tuberculosis Detection in CXR Imaging: Addressing Bias in Deep Neural Networks via Interpretability. CoRR (2024)
Rafael Henrique Vareto, Yu Linghu, Terrance E. Boult, William Robson Schwartz, Manuel Günther
Open-set face recognition with maximal entropy and Objectosphere loss. Image Vis. Comput. 141 (2024)
Halil Bisgin, Andres Palechor, Mike Suter, Manuel Günther
Large-Scale Evaluation of Open-Set Image Classification Techniques. CoRR (2024)
Xinyi Zhang, Johanna Sophie Bieri, Manuel Günther
Biased Binary Attribute Classifiers Ignore the Majority Classes. CoRR (2024)
Yu Linghu, Tiago de Freitas Pereira, Christophe Ecabert, Sébastien Marcel, Manuel Günther
Score Normalization for Demographic Fairness in Face Recognition. CoRR (2024)
Rafael Henrique Vareto, Manuel Günther, William Robson Schwartz
Open-Set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation. SIBGRAPI (2023)
Haiyu Wu, Grace Bezold, Manuel Günther, Terrance E. Boult, Michael C. King, Kevin W. Bowyer
Consistency and Accuracy of CelebA Attribute Values. CVPR Workshops (2023)
Rafael Henrique Vareto, Manuel Günther, William Robson Schwartz
Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation. CoRR (2023)
Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. ACM Multimedia (2023)
Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. CoRR (2023)
Andres Palechor, Annesha Bhoumik, Manuel Günther
Large-Scale Open-Set Classification Protocols for ImageNet. WACV (2023)
Rafael Henrique Vareto, Yu Linghu, Terrance E. Boult, William Robson Schwartz, Manuel Günther
Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss. CoRR (2023)
Chunchun Li, Manuel Günther, Akshay Raj Dhamija, Steve Cruz, Mohsen Jafarzadeh, Touqeer Ahmad, Terrance E. Boult
Agglomerative Clustering with Threshold Optimization via Extreme Value Theory. Algorithms 15 (5) (2022)
Tiago de Freitas Pereira, Dominic Schmidli, Yu Linghu, Xinyi Zhang, Sébastien Marcel, Manuel Günther
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues. CoRR (2022)
Palechor Anacona, Annesha Bhoumik, Manuel Günther
Large-Scale Open-Set Classification Protocols for ImageNet. CoRR (2022)
Haiyu Wu, Grace Bezold, Manuel Günther, Terrance E. Boult, Michael C. King, Kevin W. Bowyer
Consistency and Accuracy of CelebA Attribute Values. CoRR (2022)
Chunchun Li, Manuel Günther, Terrance E. Boult
ComFu: Improving Visual Clustering by Commonality Fusion. ICMLA (2021)
James Henrydoss, Steve Cruz, Chunchun Li, Manuel Günther, Terrance E. Boult
Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM). IEEE BigData (2020)
Akshay Raj Dhamija, Manuel Günther, Jonathan Ventura, Terrance E. Boult
The Overlooked Elephant of Object Detection: Open Set. WACV (2020)
Manuel Günther, Akshay Raj Dhamija, Terrance E. Boult
Watchlist Adaptation: Protecting the Innocent. BIOSIG (2020)
Florian Siebenrock, Manuel Günther, Sören Hohmann
LTV-MPC Based Trajectory Planning Considering Uncertain Object Prediction Through Adaptive Potential Fields. CCTA (2020)
Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult
Improving Deep Network Robustness to Unknown Inputs with Objectosphere. CVPR Workshops (2019)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Facial attributes: Accuracy and adversarial robustness. Pattern Recognit. Lett. 124 (2019)
Terrance E. Boult, Steve Cruz, Akshay Raj Dhamija, Manuel Günther, James Henrydoss, Walter J. Scheirer
Learning and the Unknown: Surveying Steps toward Open World Recognition. AAAI (2019)
Chunchun Li, Manuel Günther, Terrance E. Boult
ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering. WACV (2018)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Facial Attributes: Accuracy and Adversarial Robustness. CoRR (2018)
Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult
Reducing Network Agnostophobia. CoRR (2018)
Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult
Reducing Network Agnostophobia. NeurIPS (2018)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Towards Robust Deep Neural Networks with BANG. WACV (2018)
Michael Bihn, Manuel Günther, Daniel Lemmond, Terrance E. Boult
Evaluating a Convolutional Neural Network on Short-Wave Infra-Red Images. WACV Workshops (2018)
Andras Rozsa, Manuel Günther, Terrance E. Boult
LOTS about attacking deep features. IJCB (2017)
James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther, Terrance E. Boult
Incremental Open Set Intrusion Recognition Using Extreme Value Machine. ICMLA (2017)
Manuel Günther, Andras Rozsa, Terrance E. Boult
AFFACT: Alignment-free facial attribute classification technique. IJCB (2017)
Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
Toward Open-Set Face Recognition. CoRR (2017)
Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Guodong Guo, Cezary Stankiewicz, Terrance E. Boult
Unconstrained Face Detection and Open-Set Face Recognition Challenge. IJCB (2017)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Adversarial Robustness: Softmax versus Openmax. BMVC (2017)
Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult
A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. IEEE Commun. Surv. Tutorials 19 (2) (2017)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Adversarial Robustness: Softmax versus Openmax. CoRR (2017)
Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Cezary Stankiewicz, Terrance E. Boult
Unconstrained Face Detection and Open-Set Face Recognition Challenge. CoRR (2017)
Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
Toward Open-Set Face Recognition. CVPR Workshops (2017)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. ECCV (5) (2016)
Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. CoRR (2016)
Manuel Günther, Andras Rozsa, Terrance E. Boult
AFFACT - Alignment Free Facial Attribute Classification Technique. CoRR (2016)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CoRR (2016)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Are Accuracy and Robustness Correlated. ICMLA (2016)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Are facial attributes adversarially robust? ICPR (2016)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Are Accuracy and Robustness Correlated? CoRR (2016)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Towards Robust Deep Neural Networks with BANG. CoRR (2016)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Exploring LOTS in Deep Neural Networks. CoRR (2016)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. CoRR (2016)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CVPR Workshops (2016)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Are Facial Attributes Adversarially Robust? CoRR (2016)
Rakesh Mehta, Manuel Günther, Sébastien Marcel
Gender Classification by LUT Based Boosting of Overlapping Block Patterns. SCIA (2015)
Abhishek Dutta, Manuel Günther, Laurent El Shafey, Sébastien Marcel, Raymond N. J. Veldhuis, Luuk J. Spreeuwers
Impact of eye detection error on face recognition performance. IET Biom. 4 (3) (2015)
Manuel Günther, Stefan Böhringer, Dagmar Wieczorek, Rolf P. Würtz
Reconstruction of images from Gabor graphs with applications in facial image processing. Int. J. Wavelets Multiresolution Inf. Process. 13 (4) (2015)
Miranti Indar Mandasari, Manuel Günther, Roy Wallace, Rahim Saeidi, Sébastien Marcel, David A. van Leeuwen
Score calibration in face recognition. IET Biom. 3 (4) (2014)
Elie Khoury, Laurent El Shafey, Christopher McCool, Manuel Günther, Sébastien Marcel
Bi-modal biometric authentication on mobile phones in challenging conditions. Image Vis. Comput. 32 (12) (2014)
Elie Khoury, Bostjan Vesnicer, Javier Franco-Pedroso, Ricardo P. V. Violato, Z. Boulkcnafet, L. M. Mazaira Fernandez, Mireia Díez, J. Kosmala, Houssemeddine Khemiri, T. Cipr, Rahim Saeidi, Manuel Günther, Jerneja Zganec-Gros, Rubén Zazo-Candil, Flávio O. Simões, Messaoud Bengherabi, Agustín Álvarez Marquina, Mikel Peñagarikano, Alberto Abad, M. Boulayemen, Petr Schwarz, David A. van Leeuwen, Javier Gonzalez-Dominguez, M. U. Neto, Elhocine Boutellaa, Pedro Gómez Vilda, Amparo Varona, Dijana Petrovska-Delacrétaz, Pavel Matejka, Joaquín González-Rodríguez, Tiago Freitas Pereira, Farid Harizi, Luis Javier Rodríguez-Fuentes, Laurent El Shafey, Marcus A. Angeloni, Germán Bordel, Gérard Chollet, Sébastien Marcel
The 2013 speaker recognition evaluation in mobile environment. ICB (2013)
Manuel Günther, Artur Costa-Pazo, Changxing Ding, Elhocine Boutellaa, Giovani Chiachia, Honglei Zhang, Marcus A. Angeloni, Vitomir Struc, Elie Khoury, Esteban Vázquez-Fernández, Dacheng Tao, Messaoud Bengherabi, David D. Cox, Serkan Kiranyaz, Tiago de Freitas Pereira, Jerneja Zganec-Gros, Enrique Argones-Rúa, Nicolas Pinto, Moncef Gabbouj, Flávio O. Simões, Simon Dobrisek, Daniel González-Jiménez, Anderson Rocha, M. U. Neto, Nikola Pavesic, Alexandre Xavier Falcão, Ricardo P. V. Violato, Sébastien Marcel
The 2013 face recognition evaluation in mobile environment. ICB (2013)
Manuel Günther, Dennis Haufe, Rolf P. Würtz
Face Recognition with Disparity Corrected Gabor Phase Differences. ICANN (1) (2012)
André Anjos, Laurent El Shafey, Roy Wallace, Manuel Günther, Christopher McCool, Sébastien Marcel
Bob: a free signal processing and machine learning toolbox for researchers. ACM Multimedia (2012)
Manuel Günther, Roy Wallace, Sébastien Marcel
An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms. ECCV Workshops (3) (2012)
Manuel Günther, Rolf P. Würtz
Face Detection and Recognition Using Maximum Likelihood Classifiers on Gabor Graphs. Int. J. Pattern Recognit. Artif. Intell. 23 (3) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Manuel Günther