I am a 4th-year PhD student at the Knowledge Technology group at the University of Hamburg, advised by Professor Wermter. I work on generative models that learn visual representation in a semi- or unsupervised way. This includes applications such as unconditional image generation, text-to-image synthesis, and disentangled representations. I am also interested in the automatic evaluation of generative models in the visual domain, which is a challenging problem.
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 training GANs on a single image for tasks such as image generation, image harmonization, and image animation.
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.
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.