Co-founder and CTO of WEIR AI, ex Meta AI senior applied research lead, ex AWS principal scientist. He is also affiliated with The Open University of Israel, Department of Mathematics and Computer Science where he was an associate professor until 2018. From 2015 to 2018, he was a senior computer scientist at the Information Sciences Institute (ISI) and a Visiting Associate Professor at the Institute for Robotics and Intelligent Systems, Viterbi School of Engineering, both at USC, CA, USA, working on the IARPA Janus face recognition project.
His work is mostly related to Computer Vision and Machine Learning. Much of my work relates to digital face processing, including face recognition, facial attribute prediction, face alignment, and 3D reconstruction of face shapes. He also worked on problems related to text image processing (OCR), human action recognition in videos, dense correspondence estimation, feature representation and matching, and more.
Affiliation: Lead Machine Learning Engineer and Applied Researcher at Harman International, USA. Ex Meta AI applied researcher, and Alibaba Damo Academy ML applied researcher.
Tamar Glaser received her Master of Science degree in Electrical Engineering from the Technion–Israel Institute of Technology in 2011. Following her academic pursuits, she gained extensive industry experience at Elbit Systems (2010-2018) and Alibaba Damo Academy (2018-2021). She subsequently joined Meta (2022-2024), where she contributed to the advancement of computer vision and machine learning. Currently, at Harman International, she focuses on audio and multimodal representations. Glaser specializes in computer vision and content representation, leveraging her profound understanding of classical computer vision to address real-world challenges. Her expertise extends to responsible AI, with a particular focus on mitigating the challenges posed by generative AI, such as generated content detection, fairness and biases in generated content, and unlearning in generative models. Her research bridges the gap between classical and deep learning computer vision, leading to innovative solutions for complex industry problems. Her contributions to the field are evidenced by publications in top-tier conferences such as ICCV, ECCV, ICPR, and Nature Machine Intelligence, as well as her active involvement in organizing workshops at ECCV and CVPR.
His research interests include problems related to biometrics, computer vision, image processing, and machine learning. He (co-)authored more than 200 research papers for leading international peer reviewed journals and conferences in these and related areas. Vitomir is a Deputy Editor-in-Chief for the IEEE Transactions on Information Forensics and Security, a Subject Editor for Elsevier’s Signal Processing and an Associate Editor for Pattern Recognition. He regularly serves on the organizing committees of visible international conferences, including IJCB, FG, WACV and CVPR. He was a Program Co-Chair for IJCB 2023, IEEE FG 2024 and WACV 2025, and currently acts as a Program Chair for IJCB 2025 and General Co-Chair for WACV 2026. Dr. Struc is a Senior member of the IEEE, a member of IAPR, EURASIP, Slovenia’s ambassador for the European Association for Biometrics (EAB) and the former president and current executive committee member of the Slovenian Pattern Recognition Society, the Slovenian member of IAPR. Vitomir is also the current VP Technical Activities for the IEEE Biometrics Council, the secretary of the IAPR Technical Committee on Biometrics (TC4) and a member of the Supervisory Board of the EAB.