Search Results for author: Artus Krohn-Grimberghe

Found 4 papers, 2 papers with code

Multi-Stage Reinforcement Learning For Object Detection

1 code implementation15 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.

Object Detection reinforcement-learning

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

18 code implementations3 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.

AutoCompete: A Framework for 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.

AutoML

AutoCompete: A Framework for Machine Learning Competition

no code implementations8 Jul 2015 Abhishek Thakur, Artus Krohn-Grimberghe

In this paper, we propose AutoCompete, a highly automated machine learning framework for tackling machine learning competitions.

Cannot find the paper you are looking for? You can Submit a new open access paper.