Publications: 1. Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs (2023, Advanced Concepts for Intelligent Vision Systems) - Best Paper Award. 2. Let’s Get the FACS Straight - Reconstructing Obstructed Facial Features (2023, International Conference on Computer Vision Theory and Applications). Awards: CVPR 2025 paper EIFER promoted to Highlight.
Research Experience
Position: Research Associate; Work Experience: Involved in the DFG project 'Bridging the Gap: Mimics and Muscles', which aims to combine 3D surface changes with underlying muscle activity to better understand facial expressions. Collaborators include the Computer Vision Group Jena and the Ear-Nose-Throat Clinic Jena.
Education
Degree: PhD; Institution: Friedrich Schiller University Jena; Supervisor: Prof. Dr.-Ing. Joachim Denzler; Time: Present; Specialization: Computer Vision.
Background
Research Interests: Facial expression analysis, muscle activity, 3D and 4D data processing. Professional Field: Computer Vision. Brief Introduction: Currently pursuing a PhD at the Computer Vision Group Jena, Friedrich Schiller University Jena, under the supervision of Prof. Dr.-Ing. Joachim Denzler.
Miscellany
Personal Interests: Investigating the black-box nature of deep learning models, especially in medical applications.