no code implementations • 8 Jul 2015 • Abhishek Thakur, Artus Krohn-Grimberghe
In this paper, we propose AutoCompete, a highly automated machine learning framework for tackling machine learning competitions.
no code implementations • ICML 2015 2015 • Abhishek Thakur, Artus Krohn-Grimberghe
In this paper, we propose AutoCompete, a highly automated machine learning framework for tackling machine learning competitions.
19 code implementations • 3 Oct 2017 • Naimish Agarwal, Artus Krohn-Grimberghe, Ranjana Vyas
It involves predicting the co-ordinates of the FKPs, e. g. nose tip, center of eyes, etc, for a given face.
1 code implementation • 15 Oct 2018 • Jonas Koenig, Simon Malberg, Martin Martens, Sebastian Niehaus, Artus Krohn-Grimberghe, Arunselvan Ramaswamy
We compare an approach that is based purely on zoom actions with one that is extended by a second refinement stage to fine-tune the bounding box after each zoom step.