activity
20152023
most citedLearning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

149 citations · 370 across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 2 cited

Spatio-Temporal Analysis of Facial Actions using Lifecycle-Aware Capsule Networks

Nikhil Churamani, Sinan Kalkan, Hatice Gunes

Most state-of-the-art approaches for Facial Action Unit (AU) detection rely upon evaluating facial expressions from static frames, encoding a snapshot of heightened facial activity…

cs.RO2020★ 32 cited

Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions

Nikhil Churamani, Pablo Barros, Hatice Gunes +1

Collaborative interactions require social robots to adapt to the dynamics of human affective behaviour. Yet, current approaches for affective behaviour generation in robots focus o…

cs.CV2020

Investigating Bias and Fairness in Facial Expression Recognition

Tian Xu, Jennifer White, Sinan Kalkan +1

Recognition of expressions of emotions and affect from facial images is a well-studied research problem in the fields of affective computing and computer vision with a large number…

cs.RO2020★ 1 cited

Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot Actions

Jonas Tjomsland, Sinan Kalkan, Hatice Gunes

To date, endowing robots with an ability to assess social appropriateness of their actions has not been possible. This has been mainly due to (i) the lack of relevant and labelled…

cs.HC2020★ 9 cited

Creating a Robot Coach for Mindfulness and Wellbeing: A Longitudinal Study

Indu P. Bodala, Nikhil Churamani, Hatice Gunes

Social robots are starting to become incorporated into daily lives by assisting in the promotion of physical and mental wellbeing. This paper investigates the use of social robots…

cs.HC2020

Facial Electromyography-based Adaptive Virtual Reality Gaming for Cognitive Training

Lorcan Reidy, Dennis Chan, Charles Nduka +1

Cognitive training has shown promising results for delivering improvements in human cognition related to attention, problem solving, reading comprehension and information retrieval…