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Professor Gérard Medioni received the Diplôme d’Ingenieur from ENST, Paris in 1977, a M.S. and Ph.D. from the University of Southern California in 1980 and 1983 respectively. He is Vice President/Distinguished Scientist at Amazon, where he is leading the research efforts for Amazon Just Walk Out, the Amazon One service, and the recently opened Amazon Style store. He is also Professor Emeritus of Computer Science at USC, where he served as Chairman of the Computer Science Department from 2001 to 2007. Professor Medioni has made significant contributions to the field of computer vision. He has published 4 books, over 80 journal papers and 200 conference articles, and is the recipient of more than 90 patents. He is the editor, with Sven Dickinson, of the Computer Vision series of books for Morgan-Claypool. Prof. Medioni is on the advisory board of the IEEE Transactions on PAMI journal, and the Image and Vision Computing journal. He is vice president of the Computer Vision Foundation (CVF). Prof. Medioni serves at general co-chair of many CVPR Conferences (1997, 2001, 2007, 2009, 2020), ICPR (1998, 2014), WACV (2009, 2011, 2013, 2015, 2017, 2019, 2021, 2022), ICCV (2017, 2019, 2025). Prof. Medioni was a consultant to several companies and startups (DXO, Poseidon, Opti-Copy, Geometrix, Symah Vision, BigStage, KLA-Tencor, PrimeSense) prior to joining Amazon. He is the recipient of the 2019 IEEE PAMI Mark Everingham Prize for contributions to the Computer Vision Community. He received the APSIPA Industrial Distinguished Leader award in 2021, was inducted as a Fellow by the National Academy of Inventors in 2022, and was elected as a member of the National Academy of Engineering in 2023 for contributions to computer vision and its consumer-facing applications. He is a Fellow of IAPR, IEEE, AAAI, and AAIA.

Experienced entrepreneur with broad business, engineering and scientific training. Core focus on developing hardware to meet new market needs as well as building cross functional teams around solving unique problems.

Jason Corso is Co-Founder / CEO of the computer vision startup Voxel51 and a Professor of Robotics, Electrical Engineering and Computer Science at the University of Michigan. Corso received his PhD and MSE degrees in Computer Science at Johns Hopkins University in 2005 and 2002, respectively, and the BS Degree with honors from Loyola College, Maryland, in 2000. He spent two years as a post-doctoral fellow at the University of California, Los Angeles. From 2007 to 2014, Corso was a member of the Computer Science and Engineering faculty at SUNY-Buffalo. Afterwards, he joined the Department of Electrical Engineering and Computer Science at the University of Michigan, where he is still a faculty member. In 2022, he became a founding faculty member of the new Department of Robotics at the University of Michigan. He is jointly appointed in Robotics and EECS. He is the recipient of a University of Michigan EECS Outstanding Achievement Award 2018, Google Faculty Research Award 2015, the Army Research Office Young Investigator Award 2010, NSF CAREER award 2009, SUNY Buffalo Young Investigator Award 2011, a member of the 2009 DARPA Computer Science Study Group, and a recipient of the Link Foundation Fellowship in Advanced Simulation and Training 2003. He is a member of the AAAI, ACM, MAA and a senior member of the IEEE. In 2016, Corso co-founded a computer vision startup in Ann Arbor called Voxel51. Corso focuses on cognitive computer vision and its entanglement with language, physical constraints, robotics, autonomy, and the semantics of the natural world, both in corner-cases and at scale. He primarily focuses on problems in video understanding such as video segmentation, activity recognition, and video-to-text.

Dr. Yevgeniy Sirotin is a Scientist Director at SAIC and the Technical Director of the SAIC Identity and Data Sciences Laboratory (IDSL) at the Maryland Test Facility (MdTF), supporting the Department of Homeland Security (DHS) Science and Technology Directorate (S&T). He holds a PhD in Neurobiology and Behavior from Columbia University. Dr. Sirotin leads large-scale tests of biometric and identity systems (mdtf.org), including the DHS S&T Biometric Technology Rallies and the Remote Identity Validation Technology Demonstration (RIVTD). Dr. Sirotin oversees a team of scientists and engineers conducting multidisciplinary applied research on biometric and identity systems, as well as human-algorithm teaming. He has led the development of software platforms for data collection and analytics and is a co-inventor on several patents aimed at improving the accuracy and reliability of biometric identification systems. Dr. Sirotin also contributes to international standards, including serving as a editor of several ISO/IEC standards for measuring the performance of biometric systems.