Cigdem Beyan
Cigdem Beyan

 

 

 

About

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.

Students

  • PhD thesis co-supervisor of Nicolo Carissimi in IIT (2015-2018)

    Thesis Title: Investigating Social Interactions Using Multi-Modal Nonverbal Features

  • PhD thesis co-supervisor of Muhammad Shahid in IIT (2017-2020)

    Thesis Title: Social Interactions Analysis through Deep Visual Nonverbal Features

  • PhD thesis co-supervisor of Giancarlo Paoletti in IIT (2019- )

    Tentative Thesis Title: Unsupervised Skeleton-based Action Recognition

  • PhD thesis co-supervisor of Sanket Kumar Thakur in IIT (2020- )

    Tentative Thesis Title: Interaction Analysis through Ego-centric Vision

  • Internship supervisor and Master thesis co-supervisor of Francesco Tonini in UniTN (2021-2022)

    Topic: I Know Where You Are Looking At: Detecting People's Gaze With A Multimodal Approach

  • Internship supervisor of Martina Rama in UniTN (2021-2022)

    Topic: Social Group Detection in Human-Robot Interaction Scenarios

Selected Publications (All Publications)

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

Predicting Gaze from Egocentric Social Interaction Videos and IMU Data [code] [pdf]

S. Thakur, C. Beyan, P. Morerio, and A. Del Bu

ACM International Conference on Multimodal Interaction (ICMI)

Modeling Multiple Temporal Scales of Full-body Movements for Emotion Classification [code] [pdf]

C. Beyan, S. Karumuri, G. Volpe, A. Camurri and R. Niewiadomski

IEEE Transactions on Affective Computing

S-VVAD: Visual Voice Activity Detection by Motion Segmentation [code] [pdf]

M. Shahid, C. Beyan and V. Murino

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning [code] [pdf]

G. Paoletti, J. Cavazza, C. Beyan and A. Del Bue

International Conference on Pattern Recognition (ICPR)

Analysis of Face-Touching Behavior in Large Scale Social Interaction Dataset [code] [pdf]

C. Beyan, M. Bustreo, M. Shahid, G.L. Bailo, N. Carissimi and A. Del Bue

ACM International Conference on Multimodal Interaction (ICMI)

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)

Teaching

Current Funded Projects

  • Computer Vision to Expand Monitoring and Accelerate Assessment of Coastal Fish (CoastVision)

    Role: Co-investigator (Local PI, fundraiser)

    Short Description: CoastVision uses the power of deep learning to refine and extend a computer vision pipeline for detecting, classifying and sizing the key fish species in shallow water coastal ecosystems, facilitating a transition to fully automated video analysis. Computer vision for re-identifying individuals solely based on their unique visible features is also developed.

  • Assistive Robots wiTh EMotIonal Skills (ARTEMIS)

    Role: Co-PI (together with Prof. Elisa Ricci and Dr. Federica Arrigoni)

    Short Description: ARTEMIS aims to develop new approaches based on artificial intelligence methods that allow social robots to interpret the emotional states of patients and assess their level of comfort in interacting with the robot.

  • AI4Media EU Horizon 2020 (GA No. 951911)

    Role: Participant

    Short Description: AI4Media project aims to deliver the next generation of core AI advances and training to serve the Media sector, while ensuring that the European values of ethical and trustworthy AI are embedded in future AI deployments.

  • Socially Pertinent Robots in Gerontological Healthcare (SPRING) EU Horizon 2020 (GA No. 871245)

    Role: Participant

    Short Description: SPRING project focuses on Socially Assistive Robots (SARs) and their applications in healthcare and psychological well-being. The goal is to develop a novel paradigm of socially-aware robots, grounded on modern statistical and deep-learning methods, and harnessed by state-of-the-art algorithms for computer vision, audio-signal processing, sensor-based robot control, and spoken dialog systems

Contact

name[dot]surname[at]unitn[dot][it]
Via Sommarive, 5 - 38123 Povo, Italia