no code implementations • 7 Aug 2018 • Mina Bishay, Petar Palasek, Stefan Priebe, Ioannis Patras
Patients with schizophrenia often display impairments in the expression of emotion and speech and those are observed in their facial behaviour.
no code implementations • 13 Jan 2018 • Petar Palasek, Ioannis Patras
In this work we explore how the architecture proposed in [8], which expresses the processing steps of the classical Fisher vector pipeline approaches, i. e. dimensionality reduction by principal component analysis (PCA) projection, Gaussian mixture model (GMM) and Fisher vector descriptor extraction as network layers, can be modified into a hybrid network that combines the benefits of both unsupervised and supervised training methods, resulting in a model that learns a semi-supervised Fisher vector descriptor of the input data.
no code implementations • ICCV 2017 • Ioannis Marras, Petar Palasek, Ioannis Patras
We overcome this by introducing a Markov Random Field (MRF)-based spatial model network between the coarse and the refinement model that introduces geometric constraints on the relative locations of the body joints.
no code implementations • 19 Jul 2017 • Petar Palasek, Ioannis Patras
In this work we propose a novel neural network architecture for the problem of human action recognition in videos.