most citedEmotion Generation and Recognition: A StarGAN Approach

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20193 cited

Emotion Generation and Recognition: A StarGAN Approach

Aritra Banerjee, Dimitrios Kollias

The main idea of this ISO is to use StarGAN (A type of GAN model) to perform training and testing on an emotion dataset resulting in a emotion recognition which can be generated by…

cs.LG2019

Interpretable Deep Neural Networks for Facial Expression and Dimensional Emotion Recognition in-the-wild

Valentin Richer, Dimitrios Kollias

In this project, we created a database with two types of annotations used in the emotion recognition domain : Action Units and Valence Arousal to try to achieve better results than…

cs.LG20191 cited

Interpretable Deep Neural Networks for Dimensional and Categorical Emotion Recognition in-the-wild

Xia Yicheng, Dimitrios Kollias

Emotions play an important role in people's life. Understanding and recognising is not only important for interpersonal communication, but also has promising applications in Human-…

cs.LG2019

Image Generation and Recognition (Emotions)

Hanne Carlsson, Dimitrios Kollias

Generative Adversarial Networks (GANs) were proposed in 2014 by Goodfellow et al., and have since been extended into multiple computer vision applications. This report provides a t…

cs.LG2019

AffWild Net and Aff-Wild Database

Alvertos Benroumpi, Dimitrios Kollias

Emotions recognition is the task of recognizing people's emotions. Usually it is achieved by analyzing expression of peoples faces. There are two ways for representing emotions: Th…

cs.LG20193 cited

Aff-Wild Database and AffWildNet

Mengyao Liu, Dimitrios Kollias

In the context of HCI, building an automatic system to recognize affect of human facial expression in real-world condition is very crucial to make machine interact naturallisticaly…