Cigdem Beyan

Post Doc
Postdoctoral Researcher


GREAT Campus: Parco Scientifico e Tecnologico di Genova – Erzelli Via Enrico Melen, 83, 16152 Genova GE


Cigdem Beyan 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 e.g. emergent leader detection in small groups and deception detection in-the-wild, which were realized using different machine learning techniques and audio/video processing.

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 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. 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.

Full info and publications could be retrieved by the CV downloadable in


Social Signal Processing Multi-modal Data Analysis Human/Animal Behavior Understanding Anomaly Detection Deep Learning Classification of Imbalanced Data Human-centered AI

Selected Publications

Full list of publications:


IIT affiliated publications are as follows:

IIT Publications

  • 2021
  • Muhammad S., Beyan C.iit, Murino V.

    S-VVAD: Visual Voice Activity Detection by Motion Segmentation

    Winter Conference on Applications of Computer Vision
  • 2020
  • Beyan C.iit, Bustreo M., Shahid M., Bailo G.L., Carissimi N., Del Bue A.

    Analysis of Face-Touching Behavior in Large Scale Social Interaction Dataset

    Proceedings of the 2020 International Conference on Multimodal Interaction, pp. 24–32
  • Beyan C.iit, Murino V., Venture G., Wykowska A.iit

    Computational Approaches for Human-Human and Human-Robot Social Interactions

    Frontiers in Robotics and AI
  • Beyan C.iit, Shahid M.iit, Murino V.iit

    RealVAD: A Real-world Dataset and A Method for Voice Activity Detection by Body Motion Analysis

    IEEE Transactions on Multimedia
  • Beyan C.iit, Browman H. I.

    Setting the stage for the machine intelligence era in marine science

    ICES Journal of Marine Science
  • Paoletti G., Cavazza J.iit, Beyan C.iit, Del Bue A.iit

    Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning

    International Conference on Pattern Recogntion
  • 2019
  • Beyan C.iit, Katsageorgiou V-M., Murino V.iit

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

    IEEE Transactions on Multimedia
  • Shahid M.iit, Beyan C.iit, Murino V.iit

    Comparisons of Visual Activity Primitives for Voice Activity Detection

    20th International Conference on Image Analysis and Processing (ICIAP'19)
  • Carissimi N.iit, Rota P.iit, Beyan C.iit, Murino V.iit

    Filling the gaps: Predicting missing joints of human poses using denoising autoencoders

    Lecture Notes in Computer Science, vol. 11130 LNCS, pp. 364-379
  • Beyan C.iit, Zunino A., Shahid M.iit, Murino V.iit

    Personality Traits Classification Using Deep Visual Activity-based Nonverbal Features of Key-Dynamic Images

    IEEE Transactions on Affective Computing
  • Capozzi F., Beyan C.iit, Pierro A., Koul A., Murino V.iit, Livi S., Bayliss A., Ristic J., Becchio C.

    Tracking the Leader: Gaze Behavior in Group Interactions

    iScience, vol. 16, pp. 242-249
  • Shahid M.iit, Beyan C.iit, Murino V.iit

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

    Proceedings of the IEEE International Conference on Computer Vision Workshops
  • 2018
  • Carissimi N., Beyan C.iit, Murino V.

    A Multi-View Learning Approach to Deception Detection

    Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018, pp. 599-606
  • Beyan C.iit, Shahid M.iit, Murino V.iit

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

    ACM International Conference on Multimedia
  • Beyan C.iit, Capozzi F., Becchio C.iit, Murino V.iit

    Prediction of the leadership style of an emergent leader using audio and visual nonverbal features

    IEEE Transactions on Multimedia, vol. 20, (no. 2), pp. 441-456
  • Beyan C.iit

    Unusual Trajectory Detection: Advances

    Encyclopedia of Image Processing, Publisher: Taylor & Francis Group
  • 2017
  • Beyan C.iit, Katsageorgiou V.-M.iit, Fisher R. B.

    Extracting Statistically Significant Behaviour from Fish Tracking Data With and Without Large Dataset Cleaning

    IET Computer Vision
  • Beyan C.iit, Katsageorgiou V.-M.iit, Murino V.iit

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

    ACM Multimedia
  • Beyan C.iit, Capozzi F., Becchio C.iit, Murino V.iit

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

    ICMI'17 - Proceedings of the ACM International Conference on Multimodal Interaction
  • 2016
  • Beyan C.iit, Carissimi N.iit, Capozzi F., Vascon S., Bustreo M.iit, Pierro A., Becchio C.iit, Murino V.iit

    Detecting emergent leader in a meeting environment using nonverbal visual features only

    ICMI 2016 - Proceedings of the 18th ACM International Conference on Multimodal Interaction, pp. 317-324
  • Beyan C.iit

    Fish behavior analysis

    Intelligent Systems Reference Library, vol. 104, pp. 161-179
  • Beyan C.iit, Capozzi F., Becchio C.iit, Murino V.iit

    Identification of emergent leaders in a meeting scenario using multiple kernel learning

    2nd Workshop on Advancements in Social Signal Processing for Multimodal Interaction 2016, ASSP4MI 2016 - Held in conjunction with the 18th ACM International Conference on Multimodal Interaction 2016, ICMI 2016, pp. 3-10