TEACHING

[lecture and talk videos below]

Master Thesis / Research projects 

General Information:
For Master thesis an research projects, please contact Mrs. Knauf, secretary, ulrike@em.informatik.uni-frankfurt.de, and provide a list of courses and projects related to CV and ML you have done so far. 

Goethe University Summer Semester 2021 

Machine Learning II:
Offered together with Prof. Kaschube. This course is an online course.

Pattern Analysis and Machine Intelligence Seminar:
Offered together with Prof. Kaschube and Prof. Ramesh. This course is an online course. To participate, please register in the Moodle PAMI seminar course. The date for the first meeting will be communicated via email and in the Moodle course site. 

Goethe University Winter Semester 2020/2021


Computer Vision:
This course is partly an online course. All information will be provided in the Moodle course site.
Tutors: K. Dwivedi, J. Pliushch, M. Fulde

Machine Learning I:
Offered together with Prof. Kaschube and Prof. Bertschinger. This course is partly an online course. All information will be provided in the Moodle course site.

Pattern Analysis and Machine Intelligence Seminar:
Offered together with Prof. Kaschube, Prof. Ramesh and Prof. Bertschinger. This course is an online course. To participate and for more information, please register in the Moodle PAMI seminar course.

Ethical Implications of AI:
Offered together with Prof. Zicari, Dr. Tolle and Mr. Vetter. This course is an online course. For more information and to participate, please visit in the  course website.

Artificial Intelligence an interdisciplinary field. Perspectives from Psychology and Computer Science:
Offered together with Dr. Ulfert. This is a block online course. For more information see the QIS system.

Goethe University Summer Semester 2020 

Machine Learning II:
Offered together with Prof. Kaschube and Prof. Ramesh. This course is an online course. To participate, please register in the Moodle PAMI seminar course. The date for the first meeting will be communicated via email and in the Moodle course site. 

Pattern Analysis and Machine Intelligence Seminar:
Offered together with Prof. Kaschube, Prof. Ramesh and Prof. Bertschinger. This course is an online course. To participate, please register in the Moodle PAMI seminar course. The date for the first meeting will be communicated via email and in the Moodle course site. 

Seminar on Human & Machine Intelligence 

Open to everyone

Future meetings:
This seminar is currently postponed and might go virtual. Register to stay tunned: [link]
Location: Max Planck Institute for Empirical Aesthetics
Organized by: Dr. Nori Jacoby (MPIEA), Prof. Dr. Matthias Kaschube (FIAS & Goethe University Frankfurt), Prof. Dr. Kristian Kersting (TU Darmstadt), Prof. Dr. Stefan Kramer (Johannes Gutenberg University of Mainz), Prof. Dr. Visvanathan Ramesh (Goethe University Frankfurt), Prof. Dr. Gemma Roig (Goethe University Frankfurt), Prof. Dr. Constantin A. Rothkopf (TU Darmstadt & FIAS), Prof. Dr. Jochen Triesch (FIAS & Goethe University Frankfurt)

SUTD (2017, 2018, 2019)

- Computer Vision: 4th year undergrad course
- Artificial Intelligence: 4th year undergrad course
- Introduction to Algorithms: 2nd year undergrad course
- Probability and Statistics: 2nd year undergrad course
- Digital World: 1st year undergrad course

Measuring Representation Similarities of Task-specific Vision DNN Models for Transfer Learning and Incremental Multi-task Learning

Gemma's recorded talk at the
CVPR 2020Workshop on
Continual Learning in Computer Vision

Fairness, Bias and Discrimination in AI 

Gemma's recorded lecture as part of the online course Ethical Implications of AI at
the Goethe University Frankfurt, 2020.
[Link to the whole course]

Designing Artificial Visual Intelligence Systems by Computationally Modeling Human Visual Perception

Gemma's recorded lecture at  the
2nd HBP Student Conference, 2018

Learning Data Representation:
DNN Tips and Tricks

Gemma's recorded lecture at MIT
course 9.520, class 25, 2015

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