Search Results for author:
Found 4 papers, 0 papers with code
SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis
Patients with schizophrenia often display impairments in the expression of emotion and speech and those are observed in their facial behaviour.
Semi-supervised Fisher vector network
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.
Deep Globally Constrained MRFs for Human Pose Estimation
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.
Discriminative convolutional Fisher vector network for action recognition
In this work we propose a novel neural network architecture for the problem of human action recognition in videos.
