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

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Showing 2021Show all

7 papers · 1 filter

cs.HC2021★ 1 cited

Dynamic Bayesian Network Modelling of User Affect and Perceptions of a Teleoperated Robot Coach during Longitudinal Mindfulness Training

Indu P. Bodala, Hatice Gunes

Longitudinal interaction studies with Socially Assistive Robots are crucial to ensure that the robot is relevant for long-term use and its perceptions are not prone to the novelty…

cs.CV2021★ 9 cited

Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation

Jiaqi Xu, Siyang Song, Keerthy Kusumam +2

Video-based automatic depression analysis provides a fast, objective and repeatable self-assessment solution, which has been widely developed in recent years. While depression clue…

cs.CV2021★ 1 cited

Inferring User Facial Affect in Work-like Settings

Chaudhary Muhammad Aqdus Ilyas, Siyang Song, Hatice Gunes

Unlike the six basic emotions of happiness, sadness, fear, anger, disgust and surprise, modelling and predicting dimensional affect in terms of valence (positivity - negativity) an…

cs.CV2021★ 3 cited

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;…

cs.CV2021

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…

cs.CV2021★ 6 cited

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…

cs.CV2021★ 59 cited

Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition

Nikhil Churamani, Ozgur Kara, Hatice Gunes

As Facial Expression Recognition (FER) systems become integrated into our daily lives, these systems need to prioritise making fair decisions instead of aiming at higher individual…