Keynotes
Keynote Speaker: Sarah Ostadabbas
Title: "Toward Data-Efficient Dynamically-Aware Visual Intelligence"
Abstract: [TBD]
Bio: Professor Ostadabbas is an associate professor in the Electrical and Computer Engineering Department at Northeastern University (NU) in Boston, Massachusetts, USA. She joined NU in 2016 after completing her post-doctoral research at Georgia Tech, following the achievement of her PhD at the University of Texas at Dallas in 2014. At NU, Professor Ostadabbas holds the roles of Director at the Augmented Cognition Laboratory (ACLab), Director of Women in Engineering (WIE), and Co-Director at The Center for Signal Processing, Imaging, Reasoning, and Learning (SPIRAL). Her research focuses on the convergence of computer vision and machine learning, particularly emphasizing representation learning in visual perception problems. In her applied research, she has significantly contributed to the understanding, detection, and prediction of human and animal behaviors through the modeling of visual motion, considering various biomechanical factors. Professor Ostadabbas also extends her work to the Small Data Domain, including applications in medical and military fields, where data collection and labeling are costly and protected by strict privacy laws. Her solutions involve deep learning frameworks that operate effectively with limited labeled training data, incorporate domain knowledge for prior learning and synthetic data augmentation, and enhance the generalization of learning across domains by acquiring invariant representations. Professor Ostadabbas has co-authored over 130 peer-reviewed journal and conference articles and received research awards from prestigious institutions such as the National Science Foundation (NSF), Department of Defense (DoD), Sony, Mathworks, Amazon AWS, Verizon, Oracle, Biogen, and NVIDIA. She has been honored with the NSF CAREER Award (2022), Sony Faculty Innovation Award (2023), was the runner-up for the Oracle Excellence Award (2023), and One of the 120+ Women Spearheading Advances in Visual Tech and AI Recognized by LDV Capital (2024). She served in the organization committees of many workshops in renowned conferences (such as CVPR, ECCV, ICCV, ICIP, ICCASP, BioCAS, CHASE, ICHI) in various roles including Lead/Co-Lead Organizer, Program Chair, Board Member, Publicity Co-Chair, Session Chair, Technical Committee, and Mentor.
Keynote Speaker: Gérard G. Medioni
Title: TBD
Abstract: [TBD]
Bio: Gérard G. Medioni is a computer scientist, author, academic and inventor. He is a vice president and distinguished scientist at Amazon and serves as emeritus professor of Computer Science at the University of Southern California. Medioni has made contributions to computer vision, in particular 3D sensing, surface reconstruction, and object modelling. He has translated his computer vision research into customer-facing inventions and products. He has authored four books, including Emerging Topics in Computer Vision, Multimedia Systems: Algorithms, Standards, and Industry Practices, and A Computational Framework for Segmentation and Grouping, and has published more than 80 journal papers, 200 conference papers, with over 34,000 citations and his h-index is 88. In addition, he holds 123 patents to his name which include Visual tracking in video images in unconstrained environments by exploiting on-the-fly context using supporters and distracters and Depth mapping based on pattern matching and stereoscopic information, along with patents on Just Walk Out technology and Amazon One. Medioni is a Fellow of the Association for the Advancement of Artificial Intelligence, the Institute of Electrical and Electronics Engineers, the International Association for Pattern Recognition, and the National Academy of Inventors. He is also a member of National Academy of Engineering.
