Dr. rer. nat. Oliver Mothes
Oliver Mothes
Address: Friedrich-Schiller-Universität Jena
Institut für Informatik
Kompetenzzentrum Digitale Forschung, PF 56
07743 Jena
Room: 21S01 (JenTower)
E-mail: oliver (dot) mothes (at) tzlr (dot) de
Links: TZLR, Zedif, LinkedIn, XING
Curriculum Vitae
since 2020 Scientific Transfer Coordinator
Thuringian Center of Learning Systems and Robotics (TZLR)
2015 – 2021 Research Associate
Computer Vision Group, Friedrich Schiller University Jena
PhD Thesis: “Anatomical Landmark Localization for Biomedical Dynamic Analyses”
2011 – 2014 M. Sc. Network Computing
Freiberg University of Mining and Technology
Master Thesis: “Imitation menschlicher Bewegungen durch humanoide Roboter”
(“Imitation of human movements by humanoid robots”)
Study Project: “Visualisierung der Phasenumwandlung von Bariumtitanat unter Verwendung von
Dipolmomentvektor-Quantisierung”
2007 – 2011 B. Sc. Network Computing
Freiberg University of Mining and Technology
Bachelor Thesis: “Anwendung und Auswertung von Applikaitonen für Eye-Tracking-Systeme”
(“Usability and evaluation of applications of eye tracking systems”)
Projects
Research Interests
  • Deep Learning
  • Facial Expression Analysis
  • 4D Facial Analysis
  • Multi Object Tracking
Publications
2024
Tim Büchner, Oliver Mothes, Orlando Guntinas-Lichius, Joachim Denzler:
JeFaPaTo - A joint toolbox for blinking analysis and facial features extraction.
Journal of Open Source Software. 9 (97) : pp. 6425. 2024.
[bibtex] [pdf] [web] [doi] [code]
2023
Lena Mers, Oliver Mothes, Joachim Denzler, Orlando Guntinas-Lichius, Christian Dobel:
Der zeitliche Verlauf des emotionalen menschlichen Gesichtsausdruckes - die Entwicklung eines künstliche Intelligenz basierten Paradigmas zur Quantifizierung.
94. Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn. 2023.
[bibtex] [web] [doi] [abstract]
2022
Emanuel Andrada, Oliver Mothes, Heiko Stark, Matthew C. Tresch, Joachim Denzler, Martin S. Fischer, Reinhard Blickhan:
Limb, Joint and Pelvic Kinematic Control in the Quail Coping with Steps Upwards and Downwards.
Scientific Reports. 12 (1) : pp. 15901. 2022.
[bibtex] [pdf] [web] [doi] [abstract]
Thomas Engel, Nóra Fülöp, Oliver Mothes, Christian Schädlich :
ZeTT-RADAR-Sonderveröffentlichung - Hotspots und weiße Flecken Künstlicher Intelligenz.
ZeTT-RADAR-Sonderveröffentlichung. 2022.
[bibtex] [pdf] [web]
2021
Emanuel Andrada, Oliver Mothes, Dirk Arnold, Joachim Denzler, Martin S. Fischer, Reinhard Blickhan:
Uncovering Stability Princicples of Avian Bipedal Uneven Locomotion.
26th Congress of the European Society of Biomechanics (ESB). 2021.
[bibtex]
2020
Anish Raj, Oliver Mothes, Sven Sickert, Gerd F. Volk, Orlando Guntinas-Lichius, Joachim Denzler:
Automatic and Objective Facial Palsy Grading Index Prediction using Deep Feature Regression.
Annual Conference on Medical Image Understanding and Analysis (MIUA). Pages 253-266. 2020.
[bibtex] [pdf] [web] [doi] [abstract]
Gerd F. Volk, Maren Geitner, Katharina Geißler, Jovanna Thielker, Ashraf Raslan, Oliver Mothes, Christian Dobel, Orlando Guntinas-Lichius:
Functional outcome and quality of life after hypoglossal-facial jump nerve suture.
Frontiers Surgery - Otorhinolaryngology - Head and Neck Surgery. 2020.
[bibtex] [abstract]
2019
Gerd F. Volk, Martin Thümmel, Oliver Mothes, Dirk Arnold, Jovanna Thielker, Joachim Denzler, Valeria Mastryukova, Winfried Mayr, Orlando Guntinas-Lichius:
Long-term home-based Surface Electrostimulation is useful to prevent atrophy in denervated Facial Muscles.
Vienna Workshop on Functional Electrical Stimulation (FESWS). 2019.
[bibtex] [pdf] [abstract]
Oliver Mothes, Joachim Denzler:
One-Shot Learned Priors in Augmented Active Appearance Models for Anatomical Landmark Tracking.
Computer Vision, Imaging and Computer Graphics -- Theory and Applications. Pages 85-104. 2019.
[bibtex] [web] [doi] [abstract]
Oliver Mothes, Joachim Denzler:
Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents.
arXiv preprint arXiv:1908.04027. 2019.
[bibtex] [pdf] [abstract]
Oliver Mothes, Luise Modersohn, Gerd F. Volk, Carsten Klingner, Otto W. Witte, Peter Schlattmann, Joachim Denzler, Orlando Guntinas-Lichius:
Automated objective and marker-free facial grading using photographs of patients with facial palsy..
European Archives of Oto-Rhino-Laryngology. 2019.
[bibtex] [pdf]
Orlando Guntinas-Lichius, Oliver Mothes, Gerd F. Volk, Carsten M. Klingner, Otto W. Witte, Peter Schlattmann, Joachim Denzler:
Machine Learning based Classification of Facial Palsies using Standard Still Photografies.
Laryngo-Rhino-Otologie. 98 (S02) : pp. 360. 2019.
[bibtex] [web] [doi]
2018
Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler:
Active Learning for Regression Tasks with Expected Model Output Changes.
British Machine Vision Conference (BMVC). 2018.
[bibtex] [pdf] [code] [supplementary] [abstract]
Gerd F. Volk, Anika Steinerstauch, Annegret Lorenz, Luise Modersohn, Oliver Mothes, Joachim Denzler, Carsten M. Klingner, Farsin Hamzei, Orlando Guntinas-Lichius:
Facial motor and non-motor disabilities in patients with central facial paresis: a prospective cohort study.
Journal of Neurology. 2018.
[bibtex]
Oliver Mothes, Joachim Denzler:
Multi-view Anatomical Animal Landmark Localization using Deep Feature Regression.
ICPR Workshop on Visual Observation and Analysis of Vertebrate And Insect Behavior (ICPR-WS). 2018.
[bibtex]
2017
Jonas Jäger, Oliver Mothes, Viviane Wolff, Klaus Fricke-Neuderth, Joachim Denzler:
Visual Fish Tracking: Combining a Two-Stage Graph Approach with CNN-Features.
MTS/IEEE OCEANS Conference Aberdeen. Pages 1-6. 2017.
[bibtex] [pdf] [web] [doi]
Oliver Mothes, Joachim Denzler:
Anatomical Landmark Tracking by One-shot Learned Priors for Augmented Active Appearance Models.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 246-254. 2017.
[bibtex] [pdf] [web]
2012
Henry Lehmann, Patrick Heyne, Oliver Mothes, Heiko Müller, Tim Smyth, Erik Berger, Katja Fiedler, David Vogt, Bernhard Jung:
Visualization of Barium Titanate Phase Transition using Quantization of Dipole Moment Vectors.
Electronic Proceedings IEEE VisWeek. 2012. Third Place Award IEEE SciVis Contest 2012
[bibtex] [pdf] [abstract]