I am a PhD student in the Autonomous Vision Group of Andreas Geiger at the University of Tübingen and the MPI for Intelligent Systems in Tübingen as well as at the Robert Bosch GmbH in Leonberg, where I am working under the supervision of Alexandru Condurache in the Driver Assistance Systems Department.

The topic of my PhD is "Efficient Invariant Deep Models for Computer Vision". Convolutional neural networks (CNNs) have revolutionized the field of computer vision and currently offer state-of-the-art performance for many computer vision tasks, including image classification, object detection and semantic segmentation. However, their success comes at the cost of large annotated datasets, which take a considerable effort to create. Therefore, I am investigating how the data efficiency of deep neural networks can be improved by learning invariance/equivariance or directly encoding it into deep neural network architectures.