51 citations · 82 across the 10 of their papers we have counts for
7 papers · 1 filter
The Effect of Model Compression on Fairness in Facial Expression Recognition
Samuil Stoychev, Hatice Gunes
Deep neural networks have proved hugely successful, achieving human-like performance on a variety of tasks. However, they are also computationally expensive, which has motivated th…
Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition
Siyang Song, Zilong Shao, Shashank Jaiswal +3
This approach builds on two following findings in cognitive science: (i) human cognition partially determines expressed behaviour and is directly linked to true personality traits;…
Toward Affective XAI: Facial Affect Analysis for Understanding Explainable Human-AI Interactions
Luke Guerdan, Alex Raymond, Hatice Gunes
As machine learning approaches are increasingly used to augment human decision-making, eXplainable Artificial Intelligence (XAI) research has explored methods for communicating sys…
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
Ozgur Kara, Nikhil Churamani, Hatice Gunes
As affective robots become integral in human life, these agents must be able to fairly evaluate human affective expressions without discriminating against specific demographic grou…
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…
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…