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Research Associate

Computer Vision Group, Friedrich Schiller University Jena

Research on computer vision and machine learning on the DFG Project 'Briding the Gap: Mimics and Muscles.

Student Assistant

Computer Vision Group, Friedrich Schiller University Jena

Extracting labels and label hierachies from flickr

Student Assistant

Biomedial Informatics - Institute of Anatomy II - University Hospital Jena

AI-prediction system for the extraction of Antoni A/B tissue & Super-resolution enhancement for histology image recordings

Lecture Assistant

Theoretical Computer Science, Friedrich Schiller University Jena

Supporting the lecture Diskrete Strukturen I + II and Automaten und Berechenbarkeit

Student Assistant

Software Development Group, Friedrich Schiller University Jena

Development for the car simulation software Eltrilo

PhD

Friedrich Schiller University, Jena, Germany

Computer Vision and Machine Learning

Master of Science

Friedrich Schiller University, Jena, Germany

Computer Science (1.1)

Bachelor of Science

Friedrich Schiller University, Jena, Germany

Computer Science (1.5)

Abitur

Carl Zeiss Gymnasium, Jena, Germany

High School (1.3)

Best Paper Award

Advanced Concepts for Intelligent Vision Systems Committee - Sponsored by Springer

Best Paper Award

International Symposium on Visual Computing - Sponsored by Springer

Best Student Paper Award

27th International Conference on Pattern Recognition - Track 1 Artificial Intelligence, Pattern Recognition, and Machine Learning

Germany Scholarship

Friedrich Schiller University Jena - Sponsered together with AMS AG

Germany Scholarship

Friedrich Schiller University Jena

Germany Scholarship

Friedrich Schiller University Jena - Sponsered together with ePages GmbH

Bridging the Gap: Mimics and Muscles

The project aims to develop a novel approach to bridge the gap between the visual appearance of a human face and the underlying facial muscle structure and activity.

• Facial volume estimation
• Restauration of obstructed facial features via Minimal Change CycleGANs

JeFaPaTo

JeFaPaTo (Jena Facial Palsy Tool Box) is a software tool for the automatic analysis of facial palsy concerning the eyelid closure. It provides medical experts an easy-to-use tool for the analysis of facial palsy by utilizing state-of-the-art computer vision and machine learning techniques.

• Eyelid closure analysis
• Nature Scientific Reports publication

Reviewer

Journal Of Open Source Software

Reviewing open-source software for the Journal of Open Source Software.

• JeFaPaTo
• Caliscope

Lead Organizer

Korean-German Regulars Exchange

Contributing to the cultural exchange between Korea and Germany and building long-lasting friendships and future collaborations.

• Weekly meetings
• Language tandem program
• Outside travel activities and seasonal events

Assessing 3D Volumetric Asymmetry in Facial Palsy Patients via Advanced Multi-view Landmarks and Radial Curves. Tim Büchner, Sven Sickert, Gerd F. Volk, Orlando Guntinas-Lichius, Joachim Denzler

Machine Vision and Applications. 36 (1)

Facing Asymmetry - Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions. Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler

Asian Conference on Computer Vision (ACCV). 2024.

Automated Analysis of Spontaneous Eye Blinking in Patients with Acute Facial Palsy or Facial Synkinesis. Lukas Schuhmann, Tim Büchner, Martin Heinrich, Gerd Fabian Volk, Joachim Denzler, Orlando Guntinas-Lichius

Scientific Reports. 14 (1) : pp. 17726.

Estimating Soil Hydraulic Parameters for Unsaturated Flow using Physics-Informed Neural Networks. Sai Karthikeya Vemuri, Tim Büchner, Joachim Denzler

International Conference on Computational Science (ICCS). Pages 338-351.

Functional Tensor Decompositions for Physics-Informed Neural Networks. Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler

International Conference on Pattern Recognition (ICPR). Best Student Paper Award

The Power of Properties: Uncovering the Influential Factors in Emotion Classification. Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler

International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI)

JeFaPaTo - A joint toolbox for blinking analysis and facial features extraction. Tim Büchner, Oliver Mothes, Orlando Guntinas-Lichius, Joachim Denzler

Journal of Open Source Software. 9 (97) : pp. 6425.

Unsupervised Learning of Eye State Prototypes for Semantically Rich Blinking Detection. Yuxuan Xie, Tim Büchner, Lukas Schuhmann, Orlando Guntinas-Lichius, Joachim Denzler

Digital Health & Informatics Innovations for Sustainable Health Care Systems. Pages 1607-1611.

Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs. Tim Büchner, Orlando Guntinas-Lichius, Joachim Denzler

Advanced Concepts for Intelligent Vision Systems (Acivs). Pages 262-274. Best Paper Award

Let's Get the FACS Straight - Reconstructing Obstructed Facial Features. Tim Büchner, Sven Sickert, Gerd F. Volk, Christoph Anders, Orlando Guntinas-Lichius, Joachim Denzler

International Conference on Computer Vision Theory and Applications (VISAPP). Pages 727-736.

From Faces To Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans. Tim Büchner, Sven Sickert, Gerd F. Volk, Orlando Guntinas-Lichius, Joachim Denzler

International Symposium on Visual Computing (ISVC). Pages 121-132. Best Paper Award

Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps. Tim Büchner, Sven Sickert, Roland Graßme, Christoph Anders, Orlando Guntinas-Lichius, Joachim Denzler

International Symposium on Visual Computing (ISVC). Pages 136-147.

Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach. Sven Festag, Gideon Stein, Tim Büchner, Maha Shadaydeh, Joachim Denzler, Cord Spreckelsen

Computing in Cardiology (CinC). Pages 1-4.

Automatic Objective Severity Grading of Peripheral Facial Palsy Using 3D Radial Curves Extracted from Point Clouds. Tim Büchner, Sven Sickert, Gerd F. Volk, Orlando Guntinas-Lichius, Joachim Denzler

Challenges of Trustable AI and Added-Value on Health. Pages 179-183.