Dear Students,
Welcome! I offer and supervise a wide range of student research topics. These topics are partly belonging to our current research projects, deepen previous work, or are of general interest to me. I would like to encourage you to also approach me with your own idea(s) in the field(s). Both types of studies, more theoretical and more empirical, are available. Typically, a project consists of at least a literature review to familiarize yourself with the topic, data preparation, and experimental work where you evaluate baseline models and develop an individual concept. More information regarding my supervision guidelines.
If you have any questions about the topics, please feel free to contact me.
Preferred: I welcome suggestions for topics that transfer the latest methods (e.g. new neural network architectures and mechanisms) of the top notch Deep Learning conferences (CVPR, NeurIPS, ICCV, AAAI, ICLM, ICLR) to emotion recognition. To do this, you can simply look at the topics from the last conference and if you spot a paper that interests you, email me with your idea on how to transfer it. Most of them provide code, which can be very helpful when transferring.
Also check out the seminar topics for inspiration and for some, it is possible to frame it as a thesis topic.
Topics containing letters are divided into several seminar sub-topics with different focuses. For example, two letters a) and b) means that two seminar works on the same main topic are available with either focus a) or focus b). In addition to each empirical work, a purely theoretical seminar work in the form of an in-depth literature review of latest advances is also available. Depending on the topic, it is possible to fuse all sub-tasks to one thesis topic.