My research interests are in the fields of computer vision and machine learning, with a focus on learning effective video representations for dynamic scene understanding. In particular, I plan to explore computational theories that represent spatiotemporal visual information, within a confluence of machine vision and learning. I aim to find efficient solutions for problems that are grounded in applications such as recognition and detection from video.
Stefan Ainetter, 2018 (MSc; now at TU Graz): Evaluation of Spatiotemporal GANs
Moritz Kampelmuehler, 2017 (MSc; now at TU Graz): Camera-based Vehicle Velocity Estimation
Horst Fuchs, 2017 (MSc; now at Oxbotica): Visualizing and Understanding Deep Driving Models
Gerhard Neuhold, 2015 (MSc; now at Mapillary): Pedestrian Detection with Convolutional Neural Networks