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Computer Science

D-Index
36
Citations
8302
World Ranking
11036
National Ranking
697

Overview

Hatice Gunes is affiliated with the University of Cambridge in the United Kingdom. Their research spans multiple areas within psychology and computer science, focusing on the intersection of these fields.

The main fields of study for this researcher are:

  • Psychology
  • Computer Science

The subfields they work in include:

  • Experimental and Cognitive Psychology
  • Computer Vision and Pattern Recognition
  • Social Psychology
  • Artificial Intelligence
  • Cognitive Neuroscience

The primary topics of their work cover:

  • Emotion and Mood Recognition
  • Face recognition and analysis
  • Social Robot Interaction and HRI
  • Face Recognition and Perception
  • Digital Mental Health Interventions
  • Resilience and Mental Health
  • Context-Aware Activity Recognition Systems

Frequent co-authors who collaborate regularly with Hatice Gunes are:

  • Micol Spitale
  • Siyang Song
  • Nikhil Churamani
  • Sinan Kalkan
  • Jiaee Cheong

Their publications appear most often in these venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Affective Computing
  • ACM Transactions on Human-Robot Interaction
  • Frontiers in Robotics and AI
  • Zenodo (CERN European Organization for Nuclear Research)

Some recent papers authored or co-authored by Hatice Gunes include:

  • Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition, 2022, IEEE Transactions on Affective Computing
  • Reproducibility in Human-Robot Interaction: Furthering the Science of HRI, 2022, Current Robotics Reports
  • Learning Person-Specific Cognition From Facial Reactions for Automatic Personality Recognition, 2022, IEEE Transactions on Affective Computing
  • Can Robots Help in the Evaluation of Mental Wellbeing in Children? An Empirical Study, 2022, 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

Best Publications

  • Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition

    Evangelos Sariyanidi;Hatice Gunes;Andrea Cavallaro

  • Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space

    M. A. Nicolaou;H. Gunes;M. Pantic

  • Automatic, Dimensional and Continuous Emotion Recognition

    Hatice Gunes;Maja Pantic

  • Bi-modal emotion recognition from expressive face and body gestures

    Hatice Gunes;Massimo Piccardi

  • Categorical and dimensional affect analysis in continuous input: Current trends and future directions

    Hatice Gunes;BjöRn Schuller

  • Emotion representation, analysis and synthesis in continuous space: A survey

    Hatice Gunes;Bjorn Schuller;Maja Pantic;Roddy Cowie

  • Output-associative RVM regression for dimensional and continuous emotion prediction

    Mihalis A. Nicolaou;Hatice Gunes;Maja Pantic

  • How to distinguish posed from spontaneous smiles using geometric features

    Michel F. Valstar;Hatice Gunes;Maja Pantic

  • A Bimodal Face and Body Gesture Database for Automatic Analysis of Human Nonverbal Affective Behavior

    H. Gunes;M. Piccardi

  • Automatic Temporal Segment Detection and Affect Recognition From Face and Body Display

    H. Gunes;M. Piccardi

  • Building Autonomous Sensitive Artificial Listeners

    M. Schroder;E. Bevacqua;R. Cowie;F. Eyben

  • Affect recognition from face and body: early fusion vs. late fusion

    H. Gunes;M. Piccardi

  • Investigating Bias and Fairness in Facial Expression Recognition

    Tian Xu;Jennifer White;Sinan Kalkan;Hatice Gunes

  • Assessing facial beauty through proportion analysis by image processing and supervised learning

    Hatice Gunes;Massimo Piccardi

  • Multimodal Human-Human-Robot Interactions (MHHRI) Dataset for Studying Personality and Engagement

    Oya Celiktutan;Efstratios Skordos;Hatice Gunes

  • From the Lab to the Real World: Affect Recognition Using Multiple Cues and Modalities

    Hatice Gunes;Massimo Piccardi;Maja Pantic

  • Dimensional emotion prediction from spontaneous head gestures for interaction with sensitive artificial listeners

    Hatice Gunes;Maja Pantic

  • Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space

    Mihalis A. Nicolaou;Hatice Gunes;Maja Pantic

  • Learning Bases of Activity for Facial Expression Recognition

    Evangelos Sariyanidi;Hatice Gunes;Andrea Cavallaro

  • Face Alignment Assisted by Head Pose Estimation

    Heng Yang;Wenxuan Mou;Yichi Zhang;Ioannis Patras

Frequent Co-Authors

Massimo Piccardi
Massimo Piccardi University of Technology Sydney
Maja Pantic
Maja Pantic Imperial College London
Björn Schuller
Björn Schuller Imperial College London
Ioannis Patras
Ioannis Patras Queen Mary University of London
Michel Valstar
Michel Valstar University of Nottingham
Florian Eyben
Florian Eyben Technical University of Munich
Andrea Cavallaro
Andrea Cavallaro Queen Mary University of London
Roddy Cowie
Roddy Cowie Queen's University Belfast
Albert Ali Salah
Albert Ali Salah Utrecht University
Martin Wöllmer
Martin Wöllmer Technical University of Munich

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