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Basics

Name Tim Büchner
Label Scientist
Email tim.buechner@uni-jena.de
Phone (+49) 3641 9 46424
Url https://timozen.github.io

Work

  • 2021.03 - present

    Jena, Germany

    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.
  • 2020.01 - 2020.03

    Jena, Germany

    Student Assistant
    Computer Vision Group, Friedrich Schiller University Jena
    Extracting labels and label hierachies from flickr
  • 2019.04 - 2019.12

    Jena, Germany

    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
  • 2016.11 - 2019.12

    Jena, Germany

    Lecture Assistant
    Theoretical Computer Science, Friedrich Schiller University Jena
    Supporting the lecture Diskrete Strukturen I + II and Automaten und Berechenbarkeit
  • 2015.11 - 2016.06

    Jena, Germany

    Student Assistant
    Software Development Group, Friedrich Schiller University Jena
    Development for the car simulation software Eltrilo

Education

  • 2021.03 - present

    Jena, Germany

    PhD
    Friedrich Schiller University, Jena, Germany
    Computer Vision and Machine Learning
  • 2018.10 - 2021.02

    Jena, Germany

    Master of Science
    Friedrich Schiller University, Jena, Germany
    Computer Science
  • 2015.10 - 2018.09

    Jena, Germany

    Bachelor of Science
    Friedrich Schiller University, Jena, Germany
    Computer Science
  • 2007.09 - 2015.07

    Jena, Germany

    Abitur
    Carl Zeiss Gymnasium, Jena, Germany
    High School

Awards

  • 2023.08.22
    Best Paper Award
    Advanced Concepts for Intelligent Vision Systems Committee - Sponsored by Springer
  • 2023.10.23
    Best Paper Award
    International Symposium on Visual Computing - Sponsored by Springer

Scholarships

Languages

German
Native speaker
English
Fluent (Cambridge Certificate of Proficiency in English - C1)
Korean
Fluent (B2)

Projects

  • 2021 - 2023
    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

Skills

Computer Vision
Image Processing
Object Detection
Facial Analysis
Statistical Shape Models (3DMMs)
Machine Learning
Deep Learning
Generative Adversarial Networks
Cycle Generative Adversarial Networks
Causal Reasoning (Associations and Interventions)
Programming
Python (PyTorch, OpenCV, NumPy, Pandas, ...)
C++, Cuda
Java
HTML & CSS
Tools
Git
Docker
slurm (usage and setup)
LaTeX