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20 January, 2022 |
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16 March, 2022 |
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18 March, 2022 |
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25 March, 2022 |
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1 April, 2022 |
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8 April, 2022 |
Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Elnar Hajiyev, Realeyes - Emotional Intelligence
Original high-quality contributions, including:
- databases or
- surveys and comparative studies or
- Artificial Intelligence / Machine Learning / Deep Learning / AutoML / (Data-driven or physics-based) Generative
Modelling Methodologies (either Uni-Modal or Multi-Modal; Uni-Task or Multi-Task ones)
are solicited on the following topics:
i) "in-the-wild" facial expression or micro-expression analysis,
ii) "in-the-wild" facial action unit detection,
iii) "in-the-wild" valence-arousal estimation,
iv) "in-the-wild" physiological-based (e.g.,EEG, EDA) affect analysis,
v) domain adaptation for affect recognition in the previous 4 cases
vi) "in-the-wild" face recognition, detection or tracking,
vii) "in-the-wild" body recognition, detection or tracking,
viii) "in-the-wild" gesture recognition or detection,
ix) "in-the-wild" pose estimation or tracking,
x) "in-the-wild" activity recognition or tracking,
xi) "in-the-wild" lip reading and voice understanding,
xii) "in-the-wild" face and body characterization (e.g., behavioral understanding),
xiii) "in-the-wild" characteristic analysis (e.g., gait, age, gender, ethnicity recognition),
xiv) "in-the-wild" group understanding via social cues (e.g., kinship, non-blood relationships, personality)
xv) subgroup distribution shift analysis in affect recognition
xvi) subgroup distribution shift analysis in face and body behaviour
xvii) subgroup distribution shift analysis in characteristic analysis
Accepted workshop papers will appear at CVPR 2022 proceedings.
Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Elnar Hajiyev, Realeyes - Emotional Intelligence
Kind Regards,
Dimitris
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Dr Dimitrios Kollias
Lecturer (equivalent to Assistant Professor) in Artificial Intelligence
School of EECS
Queen Mary University of London
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