Cigdem Beyan


Cigdem Beyan

is a researcher at Istituto Italiano di Tecnologia, Pattern Analysis and Computer Vision department. She has been working on nonverbal behaviour anlaysis during social interactions, which are realized using different machine learning and audio/video processing techniques.

She is a reviewer of most significant multimedia, affective computing, computer vision and pattern recognition journals including multiple IEEE Transactions, and IEEE/ACM conferences. She is a Guest Co-Editor of a special issue in Frontiers in Robotics and AI and in the Editorial Board of ICES Journal of Marine Science covering area of applications of computer vision and machine learning in marine science.


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About

Cigdem is a postdoctoral researcher at Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision (PAVIS) department. In PAVIS-IIT, she has been working on nonverbal behaviour anlaysis during social interactions, which were realized using different machine/deep learning and audio/video processing techniques.

She obtained her Ph.D. (2015) in School of Informatics (specializing Computer Vision and Pattern Recognition), University of Edinburgh, UK, under supervision of Prof. Robert B. Fisher. Her thesis was a part of EU project (FP7) called Fish4Knowledge, which includes fish behaviour understanding, trajectory analysis, anomaly detection, classification of imbalanced data, active learning and big data analysis.

Prior to that, she completed a MSc. (2010) in School of Informatics (specializing Computer Vision), Middle East Technical University, Turkey where she worked on multiple object tracking and abandoned object detection using thermal and visible band video data fusion.

She is a reviewer of most significant multimedia, affective computing, computer vision and pattern recognition journals including multiple IEEE/ACM Transactions, and IEEE/ACM/IAPR/BMVA conferences. She is a Guest Co-Editor in Frontiers in Robotics and AI, in the Editorial Board of ICES Journal of Marine Science covering area of applications of computer vision and machine learning in marine science and a co-organizer of Applications of Egocentric Vision Workshop (EgoApp2019, EgoApp2020).

Beyond her research background, she has a teaching experience (in Turkey and in UK) for 6 years as teaching assistant, guest lecturer, tutor, demonstrator and marker. Additionally, she became an Associate Fellow of the Higher Education Academy in recognition of attainment against the UK Professional Standards Framework for teaching and learning support in higher education in 2014.

PhD Students

  • Co-supervisor of Nicolo Carissimi (2015-2019)

    Investigating Social Interactions Using Multi-Modal Nonverbal Features

  • Co-supervisor of Muhammad Shahid (2017-2021)

    Social Interaction Analysis through Deep Visual Nonverbal Features

  • Co-supervisor of Giancarlo Paoletti (2019-2023)

    Unspervised Social Interaction Analysis in-the-Wild

Selected Publications

2019

Personality Traits Classification Using Deep Visual Activity-based Nonverbal Features of Key-Dynamic Images [pdf] [supp]

C. Beyan, A. Zunino, M. Shahid, and V. Murino

IEEE Transactions on Affective Computing

Voice Activity Detection by Upper Body Motion Analysis and Unsupervised Domain Adaptation [pdf]

M. Shahid, C. Beyan, and V. Murino

International Conference on Computer Vision Workshops (ICCVw)

A Sequential Data Analysis Approach to Detect Emergent Leaders in Small Groups [pdf]

C. Beyan, V.M. Katsageorgiou, and V. Murino

IEEE Transactions on Multimedia



2018

Investigation of Small Group Social Interactions Using Deep Visual Activity-Based Nonverbal Features [poster]

C. Beyan, M. Shahid, and V. Murino

ACM International Conference on Multimedia (ACMMM)

Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising Autoencoders [pdf]

N. Carissimi, P. Rota, C. Beyan, and V. Murino

European Conference on Computer Vision Workshops (ECCVw)



2017

Multi-task Learning of Social Psychology Assessments and Nonverbal Features for Automatic Leadership Identification [poster]

C. Beyan, F. Capozzi, C. Becchio, and V. Murino

ACM International Conference on Multimodal Interaction (ICMI)

Moving as a Leader: Detecting Emergent Leadership in Small Groups using Body Pose [poster]

C. Beyan, V. M. Katsageorgiou, and V. Murino

ACM International Conference on Multimedia (ACMMM)

Prediction of the Leadership Style of an Emergent Leader Using Audio and Visual Nonverbal Features [pdf] [supp]

C. Beyan, F. Capozzi, C. Becchio, and V. Murino

IEEE Transactions on Multimedia



2016

Detecting Emergent Leader in a Meeting Environment Using Nonverbal Visual Features Only [poster]

C. Beyan et al.

ACM International Conference on Multimodal Interaction (ICMI)

Contact

name[dot]surname[at]iit[dot][it]
Pattern Analysis and Computer Vision
Istituto Italiano di Tecnologia
Great Campus Erzelli
Via Enrico Melen 83, 16152 Genova, Italia