Since April 2017 I am a PhD student at the Knowledge Technology group at the University of Hamburg, advised by Professor Wermter. I work on machine learning approaches that try to understand the relationships between objects in the environment in a semi- or unsupervised way and can describe these relationships with natural language. This includes applications such as text-to-image synthesis, image captioning, and visual question answering
I completed my Bachelor degree in Business Informatics at the University of Mannheim, during which I also studied at the National University of Singapore for one semester. Following that, I did a research oriented Master degree in Intelligent Adaptive Systems at the University of Hamburg.
Overview of our paper about our new model and evaluation metric for generative text-to-image synthesis models.
After attending the EEMLSS I was lucky enough to also attend the Deep Learning And Reinforcement Learning Summer School (DLRLSS) in Edmonton (Canada) 2019.
My experiences at the Eastern European Machine Learning Summer School (EEML) organized by DeepMind in Bucharest (Romania) 2019.
My impressions from the International Conference on Learning Representations (ICLR) 2019 in New Orleans and an overview of papers and keynotes I found particularly interesting
For a full list, have a look at my Google Scholar page.
T. Hinz, N. Navarro-Guerrero, S. Magg, S. Wermter, International Journal of Computational Intelligence and Applications 2018.