Cigdem Beyan is an Assistant Professor in Department of Information Engineering and Computer Science, University of Trento, Italy. She is a part of the MHUG research group, lead by Prof. Nicu Sebe and Prof. Elisa Ricci. Her research interests are mainly in the areas of computer vision, machine learning, social signal processing, affective computing, and human/animal behaviour analysis. Prior to that, Cigdem was a postdoctoral researcher at Pattern Analysis and Computer Vision research line in Istituto Italiano di Tecnologia, Italy where she was collaborating with Prof. Vittorio Murino and Dr. Alessio Del Bue.
Cigdem received her Ph.D. (2015) in School of Informatics, University of Edinburgh, UK, under supervision of Prof. Robert B. Fisher. Her thesis was a part of EU FP7 project called Fish4Knowledge, which includes fish behaviour understanding, trajectory analysis, anomaly detection, classification of imbalanced data, active learning and big data analysis. She obtained her MSc. (2010) from School of Informatics, Middle East Technical University, Turkey, where she worked on computer vision topics: multiple object tracking, and abandoned object detection using thermal and visible band video data fusion.
In February 2022, Cigdem obtained National (Italian) Scientific Qualification to function as Associate Professor (Abilitazione Scientifica, Fascia II) in sections 01/B1 (Computer Science) and 09/H1 (Information Processing Systems). Cigdem has co-authored more than 45 scientific publications and she regularly publishes in top-tier journals and conferences in computer vision, multimedia and social/affective computing. She is a reviewer of several multimedia, affective computing, computer vision and machine learning journals (e.g., IEEE Trans. PAMI, IEEE Trans. Multimedia; IEEE Trans. Affective Computing, Pattern Recognition), and IEEE/ACM/IAPR/BMVA conferences (e.g., CVPR, ECCV, ICML, WACV, ACM MM, BMVC, ACM ICMI, ICLR). She was selected as an Outstanding Reviewer in IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022. She was a Guest Co-Editor in Frontiers in Robotics and AI , and since September 2018 she is in the Editorial Board of ICES Journal of Marine Science covering area of applications of computer vision and machine learning in marine science. She has been an Area Chair in BMVC 2021, ACM ICMI 2022 and BMVC 2022. She is the main organizer of Social and Cognitive Interactions for Assistive Robotics (SCIAR) Workshop in IROS 2022, and has been a co-organzier of Applications of Egocentric Vision Workshops (EgoApp2019 in BMVC 2019, EgoApp2020 in ICPR 2020). She is a member of IEEE, ACM and ELLIS. She is 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 since 2014.
Thesis Title: Investigating Social Interactions Using Multi-Modal Nonverbal Features
Thesis Title: Social Interactions Analysis through Deep Visual Nonverbal Features
Tentative Thesis Title: Unsupervised Skeleton-based Action Recognition
Tentative Thesis Title: Interaction Analysis through Ego-centric Vision
Topic: I Know Where You Are Looking At: Detecting People's Gaze With A Multimodal Approach
Topic: Social Group Detection in Human-Robot Interaction Scenarios
Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance
[code] [pdf]G. Paoletti, J. Cavazza, C. Beyan, and A. Del Bue
British Machine Vision Conference (BMVC) --- Oral presentation
RealVAD: A Real-world Dataset and A Method for Voice Activity Detection by Body Motion Analysis
[pdf+supp] [code] [dataset]C. Beyan, M. Shahid and V. Murino
IEEE Transactions on Multimedia
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
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)
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
Detecting Emergent Leader in a Meeting Environment Using Nonverbal Visual Features Only [poster]
C. Beyan, N. Carissimi, F. Capozzi, S. Vascon, M. Bustreo, A. Pierro, C. Becchio and V. Murino
ACM International Conference on Multimodal Interaction (ICMI)
