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Department of Informatics Artificial Intelligence and Machine Learning Group

List of Publications

2024

  • Rafael Henrique Vareto, Yu Linghu, Terrance E. oult, William R. Schwartz and Manuel Günther. Open-set Face Recognition with Maximal Entropy and Objectosphere Loss. Image and Vision Computing, Volume 141, 2024.pdf

2023

  • Rafael Henrique Vareto, Manuel Günther and William R. Schwartz. Toward Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation. Conference on Graphics, Patterns and Images (SIBGRAPI), 2023. pdf
  • Shide  Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang and Wenzhong Guo. Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. ACM International Conference on Multimedia (ACMMM), 2023. pdf
  • Riccardo Dal Bello, Mariia Lapaeva, Agustina La Greca Saint-Esteve, Philipp Wallimann, Manuel Günther, Ender Konukoglu Nicolaus Andratschke, Matthias Guckenberger and Stephanie Tanadini-Lang. Patient-specific quality assurance strategies for synthetic computed tomography in magnetic resonance-only radiotherapy of the abdomen. Physics and Imaging in Radiation Oncology (phiRO), 2023. pdf
  • Andres Palechor, Annesha Bhoumik and Manuel Günther. Large-Scale Open-Set Classification Protocols for ImageNet. Winter Conference on Applications of Computer Vision (WACV), 2023.pdf;source code
  • Haiyu Wu, Grace Bezold , Manuel Günther, Terrance Boult, Michael C. King and Kevin W. Bowyer. Consistency and Accuracy of CelebA Attribute Values. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023. pdf;source code; Won Best Paper award.
  • Sélène Ledain, Emine Didem Durukan, Thomas Brunschwiler, Manuel Günther, Devis Tuia and Benjamin Stocker. Forest drought impact prediction based on satellite imagery and weather forecasts - a spatially distributed approach using a recurrent deep neural network. EGU General Assembly, 2023. abstract

2022

  • Tiago de Freitas Pereira, Dominic Schmidli, Yu Linghu, Xinyi Zhang, Sébastien Marcel and Manuel Günther. Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues. arXiv 2208.04040, 2022.  pdf; source code
  • Chunchun Li, Manuel Günther, Akshay Raj Dhamijy, Steve Cruz, Mohsen Jafarzadeh, Touqeer Ahmad,  and Terrance E. Boult. Agglomerative Clustering with Threshold Optimization via Extreme Value Theory. Algorithms, 2022.  pdf; source code

  • Mariia Lapaeva, Agustina La Greca Saint-Esteven, Philipp Wallimann, Manuel Günther, Ender Konukoglu, Nicolaus Andratschke, Matthias Guckenberger, Stephanie Tanadini-Lang, and Riccardo Dal Bello. Synthetic computed tomography for low-field magnetic resonance-guided radiotherapy in the abdomen. Physics and Imaging in Radiation Oncology, 2022.  pdf

  • Manuel Günther. Die Software erkennt Gesichter besser als die Ermittler. Schweizer Monat, 2022. online

2021

  • Chunchun Li, Manuel Günther and Terrance E. Boult. ComFu: Improving Visual Clustering by Commonality Fusion. International Conference on Machine Learning and Applications (ICMLA), 2021.    pdf
  • Lazaro J. Gonzalez-Soler, Marta Gomez-Barrero, Manuel Günther and Christoph Busch. Analysing the feasibility of using Objectosphere for Face Presentation Attack Detection. Norwegian Information Security Conference (NISK), 2021.

2020

  • Akshay Raj Dhamija, Manuel Günther, Jonathon Ventura and Terrance E. Boult. The Overlooked Elephant of Object Detection: Open Set. Winter Conference on Applications in Computer Vision (WACV), 2020. pdf; source code
  • Manuel Günther, Akshay Raj Dhamija and Terrance E. Boult. Watchlist Adaptation: Protecting the Innocent. International Conference of the Biometrics Special Interest Group (BIOSIG), 2020. pdf
  • James Henrydoss, Steve Cruz, Chunchun Li, Manuel Günther and Terrance E. Boult. Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM). International Conference on Big Data (BigData), 2020. pdf

2019

  • Terrance E. Boult, Steve Cruz, Akshay Raj Dhamija, Manuel Günther, James Henrydoss and Walter J. Scheirer. Learning and the Unknown: Surveying Steps toward Open World Recognition.  AAAI Conference on Artificial Intelligence, 2019. pdf
  • Andras Rozsa, Manuel Günther, Ethan M. Rudd and Terrance E. Boult. Facial Attributes: Accuracy and Adversarial Robustness. Pattern Recognition Letters, 2019. arXiv ID 1801.02480
  • Akshay Raj Dhamija, Manuel Günther and Terrance E. Boult. Improving Deep Network Robustness to Unknown Inputs with Objectosphere. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. pdf

2018

  • Akshay Raj Dhamija, Manuel Günther and Terrance E. Boult. Reducing Network Agnostophobia. Advances in Neural Information Processing Systems (NIPS), 2018. pdf; source code
  • Chunchun Li, Manuel Günther and Terrance E. Boult. ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering. Winter Conference on Applications in Computer Vision (WACV), 2018.  pdf
  • Andras Rozsa, Manuel Günther and Terrance E. Boult. Towards Robust Deep Neural Networks With BANG. Winter Conference on Applications in Computer Vision (WACV), 2018. arXiv ID 1612.00138
  • Michael Bihn, Manuel Günther, Daniel Lemmond and Terrance E. Boult. Evaluating a Convolutional Neural Network on ShortWave Infra-Red Images.Winter Conference on Applications in Computer Vision (WACV) Cross-Domain Face Recognition Workshop, 2018.
  • Ethan M. Rudd, Manuel Günther, Akshay Raj Dhamija, Faris A. Kateb and Terrance E. Boult. What's Hiding in My Deep Features? Deep Learning in Biometrics, CRC Press, 2018. pdf

2017

  • Manuel Günther, Andras Rozsa and Terrance E. Boult. AFFACT: Alignment-Free Facial Attribute Classification Technique. International Joint Conference on Biometrics (IJCB), 2017. arXiv ID 1611.06158; Trained Caffe networks
  • Manuel Günther and others. Unconstrained Face Detection and Open-Set Face Recognition Challenge. International Joint Conference on Biometrics (IJCB), 2017. arXiv ID 1708.02337; competition website
  • Andras Rozsa, Manuel Günther and Terrance E. Boult. LOTS about Attacking Deep Features. International Joint Conference on Biometrics (IJCB), 2017. arXiv ID 1611.06179
  • André Anjos, Manuel Günther, Tiago de Freitas Pereira, Pavel Korshunov, Amir Mohammadi and Sébastien Marcel. Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments. International Conference on Machine Learning (ICML) Workshop on Reproducibility in Machine Learning, 2017. pdf; source code
  • Andras Rozsa, Manuel Günther and Terrance E. Boult. Adversarial Robustness: Softmax versus Openmax. British Machine Vision Conference (BMVC), 2017. arXiv ID 1708.01697
  • Manuel Günther, Steve Cruz, Ethan M. Rudd and Terrance E. Boult. Toward Open-Set Face Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017. arXiv ID 1705.01567
  • James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther and Terrance E. Boult. Incremental Open Set Intrusion Recognition Using Extreme Value Machine. IEEE International Conference on Machine Learning and Applications (ICMLA), 2017. Won Best Poster award.
  • Ethan M. Rudd, Andras Rozsa, Manuel Günther and Terrance E. Boult. A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. IEEE Communications Surveys & Tutorials, 2017. arXiv ID 1603.06028

2016

  • Andras Rozsa, Manuel Günther and Terrance E. Boult. Are Accuracy and Robustness Correlated? IEEE International Conference on Machine Learning and Applications (ICMLA), 2016. arXiv ID 1610.04563
  • Andras Rozsa, Manuel Günther, Ethan M. Rudd and Terrance E. Boult. Are Facial Attributes Adversarially Robust? International Conference on Pattern Recognition (ICPR), 2016. arXiv ID 1605.05411 Won Best Student Paper award.
  • Ethan M. Rudd, Manuel Günther and Terrance E. Boult. MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. European Conference on Computer Vision (ECCV), 2016. arXiv ID 1603.07027; Trained Caffe networks
  • Ethan M. Rudd, Manuel Günther and Terrance E. Boult. PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016. arXiv ID 1605.03124
  • Manuel Günther, Laurent El Shafey and Sébastien Marcel. Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey. Face Recognition Across the Imaging Spectrum, Springer, 2016. pdf; source code

Earlier

  • Abhishek Dutta, Manuel Günther, Laurent El Shafey, Sébastien Marcel, Raymond Veldhuis and Luuk Spreeuwers. Impact of Eye Detection Error on Face Recognition Performance. IET Biometrics, 2015. pdf; source code
  • Manuel Günther, Stefan Böhringer, Dagmar Wieczorek and Rolf P. Würtz. Reconstruction of Images from Gabor Graphs with Applications in Facial Image Processing. Journal of Wavelets, Multiresolution and Information Processing, 2015. pdf
  • Rakesh Metha, Manuel Günther and Sübastien Marcel. Gender Classification by LUT based Boosting of Overlapping Block Patterns. Scandinavian Conference on Image Analysis (SCIA), 2015. pdf; source code
  • Miranti I. Mandasari, Manuel Günther, Roy Wallace, Rahim Saedi, Sébastien Marcel and David Van Leeuwen. Score Calibration in Face Recognition. IET Biometrics, 2014. pdf; source code
  • Elie Khoury, Laurent El Shafey, Chris McCool, Manuel Günther and Sébastien Marcel. Bi-modal Biometric Authentication on Mobile Phones in Challenging Conditions. Image and Vision Computing (IVC), 2014. pdf
  • Elie Khoury, Manuel Günther, Laurent El Shafey and Sébastien Marcel. On the Improvements of Uni-modal and Bi-modal Fusions of Speaker and Face Recognition for Mobile Biometrics. Biometric Technologies in Forensic Science (BTFS), 2013. pdf; source code
  • Manuel Günther and others. The 2013 Face Recognition Evaluation in Mobile Environment. International Conference on Biometrics (ICB), 2013. pdf
  • Elie Khoury and others. The 2013 Speaker Recognition Evaluation in Mobile Environment. International Conference on Biometrics (ICB), 2013. pdf
  • Manuel Günther, Roy Wallace and Sébastien Marcel. An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms. European Conference on Computer Vision (ECCV), Workshops and Demonstrations: 547-556, 2012. pdf; source code
  • André Anjos, Laurent El Shafey, Roy Wallace, Manuel Günther, Chris McCool and Sébastien Marcel. Bob: a Free Signal Processing and Machine Learning Toolbox for Researchers. ACM Multimedia Conference, 2012. pdf; home page
  • Manuel Günther, Dennis Haufe and Rolf P. Würtz. Face Recognition with Disparity Corrected Gabor Phase Differences. Artificial Neural Networks and Machine Learning (ICANN), 2012. pdf
  • Manuel Günther. Statistical Gabor Graph Based Techniques for the Detection, Recognition, Classification, and Visualization of Human Faces. PhD thesis, Institut für Neuroinformatik, Technische Universität Ilmenau, 2011. pdf (PDF, 11 MB)
  • Harald J. Schneider, Robert P. Kosilek, Manuel Günther, J. Römmler., G.K. Stalla, C. Sievers, M. Reincke, Jochen Schopohl and Rolf P. Würtz. A novel approach to the detection of acromegaly: accuracy of diagnosis by automatic face classification. Journal of Clinical Endocrinology and Metabolism, 2011.
  • Stefan Böhringer and others. Genetic determination of human facial morphology: links between cleft-lips and normal variation. European Journal of Human Genetics, 2011. pdf
  • Stefan Böhringer, Manuel Günther, Stella Sinigerova, Rolf P. Würtz, Bernard Horsthemke and Dagmar Wieczorek. Automated Syndrome Detection in a set of Clinical Facial Photographs. American Journal of Medical Genetics, 2011.
  • Manuel Günther, Marco K. Müller and Rolf P. Würtz. Two kinds of Statistics for Better Face Recognition. International Conference on Numerical Analysis and Applied Mathematics (ICNAAM), 2010. pdf
  • Manuel Günther and Rolf P. Würtz. Face detection and recognition using maximum likelihood classifiers on Gabor graphs. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 2009. pdf
  • Manuel Günther. Klassifikation von Gesichtern mit optimierten lokalen Graphen auf 2D und 3D Bilddaten. Diploma thesis, Technische Universität Ilmenau, 2005. pdf (German only) (PDF, 11 MB)