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Advanced Deep Learning for Computer Vision: Dynamic Vision

IN2389Cross-Cutting Elective Modules8 ECTSEnglishWintersemester/SommersemesterDepartment Computer Science
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn advanced deep-learning methods with a clear focus on video analysis for computer-vision tasks. Beyond the theoretical foundations, you will train and implement neural networks yourself and work on a semester-long project on current research topics of the group.

What you will be able to do

  • Understand theoretical concepts of advanced neural architectures
  • Apply specific methods for video analysis
  • Practical implementation and training of complex deep-learning models (PyTorch)
  • Project work: independent research or development on video tasks

What the module consists of

  • VorlesungVermittlung der theoretischen Grundlagen und fortgeschrittener Methoden
  • praktische ÜbungenTraining, Testing und Implementierung von Netzen; Abgabe von funktionsfähigem Code nach jeder Einheit
  • Projektsemesterlanges Praxisprojekt mit Schwerpunkt Videoanalyse (Bewertung in Berichten, Präsentationen und Code)

Teaching method

  • VorlesungErklärung und Diskussion der theoretischen Aspekte von Deep-Learning-Architekturen für Videoanalyse
  • praktische Übungen/Projektintensives Training und Implementierung in PyTorch; Anwendung der Theorie auf reale Forschungsaufgaben
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Official page in TUMonline · Details are not binding.