Recently, I had the opportunity to present my work on confidence-calibrated adversarial training at the Bosch Center for Artifical Intelligence and the University of Tübingen, specifically, the newly formed Tübingen AI Center. As part of the talk, I outlined the motivation and strengths of confidence-calibrated adversarial training compared to standard adversarial training: robustness against previously unseen attacks and improved accuracy. I also touched on the difficulties faced during robustness evaluation. This article provides the corresponding slides and gives a short overview of the talk.
The Heidelberg Laureate Forum brings together young researchers and laureates in computer science and mathematics. During lectures, workshops, panel discussions and social events, the forum fosters personal and scientific exchange with other young researchers as well as laureates. I was incredibly lucky to have the opportunity to participate in the 7th Heidelberg Laureate Forum 2019. In this article, I want to give a short overview of the forum and share some of my impressions.
In early May, I received the Qualcomm Innovation Fellowship 2019 for my ongoing research on adversarial robustness of deep neural networks. After an initial application round, I was invited to the University of Amsterdam’s Science Park for the finalist round. The winners were selected based on a short research talk including questions from Qualcomm researchers.
In September, I received the STEM-Award IT 2018 for the best master thesis on autonomous driving. The award with the topic “On The Road to Vision Zero” was sponsored by ZF, audimax and MINT Zukunft Schaffen. The jury specifically highlighted the high scientific standard of my master thesis “Learning 3D Shape Completion under Weak Supervision”.
Last week, I attended my very first CVPR in Salt Lake City, where I also presented my work on weakly-supervised 3D shape completion. In the course of the week, I attended several tutorials as well as all oral and poster sessions. In this article, I want to share my notes and some general comments.
In the last few months, I started to pursue a PhD. Although I did not have many options, also because I decided not to apply to many programs, I found choosing the right PhD incredible difficult. In this article, I want to share some of my insights.
In April, I visited Prof. Bernt Schiele’s Computer Vision and Multimodal Computing Department at the Max Planck Institute for Informatics in Saarbrücken. Aside from a presentation on my recent superpixel benchmark, I also met many interesting people and learned a lot about a career in research.
There are many things worth knowing about studying computer science at RWTH Aachen University. This article presents a collection of tips and tricks regarding specific courses as well as studying computer science in general.