Module Number

ML-4512 		Module Title

Advances in Multimodal Learning - Practical Course 		Lecture Type(s)

Practical Course
ECTS 6
Work load
- Contact time
- Self study
Workload:
180 h
Class time:
60 h / 4 SWS
Self study:
120 h
Duration 1 Semester
Frequency In the summer semester
Language of instruction English
Type of Exam

Project presentation und written report
Content

This project focuses on exploring the challenges in modern Computer Vision and Multimodal Learning algorithms and model development. The project will track the latest progress in the field and the associated challenges in different application areas,
such as video understanding as well as general vision-language topics. The project will include a hands-on implementation of various techniques to identify and solve problems, and to evaluate results in comparison to public benchmarks. It will further provide an understanding of the characteristics of models and benchmarks such as generalization and robustness. The project should provide insights on the development of novel Multimodal Learning technology in response to upcoming challenges.
Objectives

Students gain practical experience in working with and performing research on current multimodal models. After this course, students should be able to understand and reproduce current research papers on multimodal learning as well as to implement and evaluate original ideas on the basis of existing research.
Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Prerequisite for participation ML-4103 Deep Learning (formerly: Deep Neural Networks; INFO-4182)
Lecturer / Other Kuehne
Literature

-
Last offered unknown
Planned for Sommersemester 2025
Assigned Study Areas INFO-INFO, INFO-PRAK, MEDI-APPL, MEDI-INFO, MEDI-MEDI, MEDI-MMT, ML-CS, ML-DIV