The thesis of Gül Varol covers a wide range of challenging and important problems in human analysis within computer vision. In particular, it defined the state of the art in action recognition from videos with the use of long-term temporal convolutions, and it contributed a synthetic data generation framework for advancing human body shape analysis.
The scientific outcomes of the thesis have been followed up and extended by numerous groups. This has been supported by open sourcing of code and datasets.
More information: https://ellis.eu/news/ellis-phd-award-2020