profile_picture

Cigdem Beyan

Associate Professor
Department of Computer Science, University of Verona
Ca'vignal 2, Room 1.87
cigdem.beyan[at]univr[dot]it

Cigdem Beyan is an Associate Professor in the Department of Computer Science at the University of Verona, Italy, where she co-leads the VIPS (Vision, Image Processing and Sound) research group. Her research interests include computer vision, machine learning, social signal processing, affective computing, and human and animal behaviour analysis. She has co-authored over 75 peer-reviewed publications, regularly contributing to top-tier journals and conferences in computer vision, multimedia, and social/affective computing. Cigdem has served as an Area Chair for several major conferences, including CVPR, ECCV, ICRA, BMVC, ACII, and ICMI. Her organizational contributions span a range of roles: she is the Doctoral Consortium Co-Chair for ECCV 2024/2026, Social Media Co-Chair for RO-MAN 2024, Publicity Co-Chair for IEEE ARSO 2024, Proceedings Co-Chair for AVI 2024, and Demos and Exhibition Chair for FG 2024. She has also co-organized workshops at conferences such as BMVC, ICPR, and IROS, and has led special issues in various journals. Cigdem currently serves as an Associate Editor for IEEE Transactions on Affective Computing, Pattern Recognition, and ICES Journal of Marine Science. She is actively involved in the program and technical committees of international conferences, including ACM MM and ACM ICMI. Cigdem is a member of IEEE, ACM, IAPR, CVPL, and ELLIS.

Previous positions: University of Edinburgh (Ph.D.), Istituto Italiano di Tecnologia (PostDoc), University of Trento (Assistant Prof.), University of Bergamo (Tenure-track Assistant Prof.).

News

People

Selected Papers

I'm not able to keep this very up-to-date. Please refer to my  google scholar profile  for a more concrete info.
Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment, 2026, CVPR
Yu, F. , Tiezzi, M. , Apicella, T. , Beyan, C. , and Murino, V.
MadCLIP: Few-shot Medical Anomaly Detection with CLIP, 2025, MICCAI
Shiri, M. , Beyan, C. , and Murino, V.
AL-GTD: Deep Active Learning for Gaze Target Detection, 2024, ACM Multimedia
Tonini, F. , Dall'Asen, N. , Vaquero, L. , Beyan, C. , and Ricci, E.
Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos, 2024, WACV
Thakur, S. , Beyan, C. , Morerio, P. , Murino, V. , and Del Bue, A.
Object-aware Gaze Target Detection, 2023, ICCV
Tonini, F. , Dall'Asen, N. , Beyan, C. , and Ricci, E.