Prof. Alberto Del Bimbo is Emeritus Professor at the Department of Information Engineering of University of Firenze, Italy. He is the author of over 350 scientific publications in computer vision, multimedia content analysis, indexing and retrieval. He was the General Chair of ACM Multimedia Asia 2024, ACM Multimedia 2022, ICPR 2020, ECCV 2012, ICMR 2011, ACM Multimedia 2010, and IEEE ICMCS 1999 and the Program Chair of ICME 2024, ICPR 2016, and ICPR 2012, and ACM Multimedia 2008. He was the Editor in Chief of ACM TOMM Trans. on Multimedia Computing, Communications, and Applications and Associate Editor of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Multimedia, Pattern Recognition, Multimedia Tools and Applications and Pattern Analysis and Applications. Prof. Del Bimbo is IAPR Fellow and the recipient of the 2016 ACM SIGMM Award for Outstanding Technical Contributions to Multimedia Computing, Communications and Applications. He is presently the Chair of ACM SIGMM, the ACM Special Interest Group in Multimedia.

Amin Mantrach is an Applied Science Manager at Amazon, leading a team that develops Generative AI solutions across multiple languages, with a focus on evaluation techniques and responsible AI. His team notably expanded AI-generated customer review summaries to non-English Amazon stores. He previously worked as a research scientist at Xerox Research Center, Yahoo Labs, and Criteo AI Lab. With over 15 years of experience, he holds a PhD in Machine Learning and has published in top venues like CVPR, KDD, and TPAMI.

I am currently a postdoctoral researcher at the LIX laboratory at École Polytechnique. I work with Prof. Maks Ovsjanikov on generative modeling for non-rigid deformable shapes. I completed my PhD at Université de Lille, supervised by Prof. Mohamed Daoudi and Prof. Juan Carlos Alvarez Paiva. In my thesis, I studied geometric representations—particularly tools from Riemannian shape analysis—for the comparison and deformation of human shapes. My research interests lie in shape analysis, geometric deep learning, and more generally, computer vision and machine learning. Prior to my PhD, I graduated from CentraleSupélec Paris and ENS Paris-Saclay (M2 MVA: Mathématiques, Vision, Apprentissage).

Fahad Khan is currently a Full Professor and Deputy Department Chair of Computer Vision at the MBZUAI, Abu Dhabi, United Arab Emirates. He also holds a faculty position (Universitetslektor + Docent) at Computer Vision Laboratory, Linköping University, Sweden. He received the M.Sc. degree in Intelligent Systems Design from Chalmers University of Technology, Sweden and a Ph.D. degree in Computer Vision from Computer Vision Center Barcelona and Autonomous University of Barcelona, Spain. He has published over 150 reviewed conference papers, journal articles, and book contributions, with over 60,000 citations according to Google Scholar. His research interests include a wide range of topics within computer vision and machine learning. He serves as a regular senior program committee member for leading conferences such as, CVPR, ICCV, ECCV, and is an Associate Editor of leading journals such as, IEEE TPAMI and CVIU.

Mohamed DAOUDI is a Full Professor of Computer Science at IMT Nord Europe and the Head of Image group at CRIStAL Laboratory (UMR CNRS 9189). His research interests include computer vision and machine learning for human behavior understanding. He has published over 150 papers in some of the most distinguished scientific journals and international conferences. He is/was Associate Editor of Image and Vision Computing, IEEE Transactions on Multimedia, IEEE Trans. on Affective Computing and Computer Vision and Image Understanding, Computers & Graphics. He has served as General Chair of IEEE International Conference on Automatic Face and Gesture Recognition IEEE FG 2019 and 2025. He is an IAPR Fellow, a IEEE senior member, an ACM member, and a member of ELLIS.

Nouamane Tazi is a Moroccan machine learning engineer and researcher at Hugging Face, specializing in AI, deep learning, and large language models. He holds a Master's in Artificial Intelligence from Université Paris-Saclay and has contributed to major open-source projects like StarCoder, SmoLLM and The UltraScale Playbook. Nouamane is also a core developer of the Nanotron library, a minimalistic and scalable tool for pretraining large language models with advanced 5D parallelism and transparent design.

Stefano Berretti is an Associate Professor at the Department of Information Engineering of the University of Florence, Italy. He has published on topics related to content based image retrieval, 3D human behavior understanding from face and body, face biometrics, 3D object recognition, 3D/4D face modeling and generation. He organized workshops on Learning with few or without annotated face, body and gesture data (LFA at WACV 2023, IEEE FG 2024), Generation of Human Face and Body Behavior (GHB at WACV 2021, ICIAP 2023). He has been a general chair of The Eurographics Symposium on 3D Object Retrieval (3DOR) 2022, and of the Conference on Smart Tools and Applications in Graphics 2021, and has served as area chair for ACM Multimedia (2020, 2021, 2022, 2023, 2024), IEEE Face and Gesture Recognition (2019, 2020), and program chair for the International Conference on Smart Multimedia (2022, 2024). He organized special issues on the Computers & Graphics journal, ACM TOMM, IEEE TII, IEEE TCE, IEEE JBHI, and ACM TALLIP. He is the Associate Editor in Chief for Digital Communications of the IEEE Transactions on Circuits and Systems for Video Technology, and an Associate Editor of the ACM Transaction of Multimedia Computing, Communications, and Applications (ACM TOMM), and of the IET Computer Vision journal. He was also the Information Director of ACM TOMM. He is a Senior member of IEEE.

Xavier Alameda-Pineda holds the position of Research Director at Inria and is the Leader of the RobotLearn Team. He obtained the M.Sc. (equivalent) in Mathematics in 2008, Telecommunications in 2009 from BarcelonaTech, and Computer Science in 2010 from Univ. Grenoble-Alpes (UGA). He then worked towards his Ph.D. in Mathematics and Computer Science, and obtained it in 2013, from UGA. After a two-year post-doc period at the Multimodal Human Understanding Group, at the University of Trento, he was appointed Research Scientist at Inria until 2024. Xavier is an active member of SIGMM, an IEEE Senior Member, and an ELLIS Fellow. He was the Coordinator of the terminated H2020 Project SPRING: Socially Pertinent Robots in Gerontological Healthcare and co-lead the "Audio-visual machine perception and interaction for companion robots" chair of the Multidisciplinary Institute of Artificial Intelligence. Xavier's research interests are at the crossroads of machine learning, computer vision, and audio processing for scene and behavior analysis and human-robot interaction.