34 citations · 37 across the 8 of their papers we have counts for
8 papers · 1 filter
PainNet: Statistical Relation Network with Episode-Based Training for Pain Estimation
Mina Bishay, Graham Page, Mohammad Mavadati
Despite the span in estimating pain from facial expressions, limited works have focused on estimating the sequence-level pain, which is reported by patients and used commonly in cl…
Monitoring Viewer Attention During Online Ads
Mina Bishay, Graham Page, Waleed Emad +1
Nowadays, video ads spread through numerous online platforms, and are being watched by millions of viewers worldwide. Big brands gauge the liking and purchase intent of their new a…
Automatic Detection of Sentimentality from Facial Expressions
Mina Bishay, Jay Turcot, Graham Page +1
Emotion recognition has received considerable attention from the Computer Vision community in the last 20 years. However, most of the research focused on analyzing the six basic em…
AFFDEX 2.0: A Real-Time Facial Expression Analysis Toolkit
Mina Bishay, Kenneth Preston, Matthew Strafuss +3
In this paper we introduce AFFDEX 2.0 - a toolkit for analyzing facial expressions in the wild, that is, it is intended for users aiming to; a) estimate the 3D head pose, b) detect…
Choose Settings Carefully: Comparing Action Unit detection at Different Settings Using a Large-Scale Dataset
Mina Bishay, Ahmed Ghoneim, Mohamed Ashraf +1
In this paper, we investigate the impact of some of the commonly used settings for (a) preprocessing face images, and (b) classification and training, on Action Unit (AU) detection…
Which CNNs and Training Settings to Choose for Action Unit Detection? A Study Based on a Large-Scale Dataset
Mina Bishay, Ahmed Ghoneim, Mohamed Ashraf +1
In this paper we explore the influence of some frequently used Convolutional Neural Networks (CNNs), training settings, and training set structures, on Action Unit (AU) detection.…
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
Mina Bishay, Georgios Zoumpourlis, Ioannis Patras
In this paper we propose a novel Temporal Attentive Relation Network (TARN) for the problems of few-shot and zero-shot action recognition. At the heart of our network is a meta-lea…
SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis
Mina Bishay, Petar Palasek, Stefan Priebe +1
Patients with schizophrenia often display impairments in the expression of emotion and speech and those are observed in their facial behaviour. Automatic analysis of patients' faci…