Dr. Cordelia Schmid is Research Director at Inria and a researcher at Google, widely recognized for her pioneering contributions to computer vision. Holding a Doctorate from the Institut National Polytechnique de Grenoble and having completed post-doctoral work at Oxford University, she has spent decades advancing image matching and visual learning. Her illustrious career is marked by prestigious accolades, including the Körber European Science Prize (2023), the European Inventor Award (2024), and multiple Longuet-Higgins and Helmholtz prizes for research that has fundamentally shaped the field. A Fellow of the IEEE and a member of the German National Academy of Sciences, Dr. Schmid has also held top leadership roles in the academic community, serving as Editor-in-Chief of the International Journal of Computer Vision and General Chair for major conferences like CVPR, ECCV, and ICCV.

Dr. Sanja Fidler is vice president of AI research at NVIDIA, leading the company's Spatial Intelligence Lab. She is also an associate professor at the University of Toronto and an affiliate faculty member at the Vector Institute, which she co-founded. Co-authored over 130 scientific papers in the fields of computer vision, machine learning, and NLP. She has served as Area Chair for a variety of conferences, including the CVPR, ICCV, EMNLP, ICLR, NeurIPS, and SIGGRAPH. Fidler has received the NVIDIA Pioneer of AI Award, Amazon Academic Research Award, Facebook Faculty Award, Early Researcher Award, University of Toronto's Innovation Award, and the Connaught New Researcher Award.  She has been ranked among the top three most influential AI female researchers in Canada by Re-WORK, was named in Globe and Mail's Changemakers in 2025, and was listed in the top people in AI in 2023 by Business Insider. With her co-workers, she received the Best Paper Honorable Mention award at CVPR'17, SIGGRAPH'23, and the Best Paper Award at SIGGRAPH Asia'23. Her main research interests are in spatial intelligence: 3D content creation, spatial understanding, and simulation for robotics.

Dr. Georgia Gkioxari is an assistant professor in Computing + Mathematical Sciences at Caltech. She earned her PhD from UC Berkeley, advised by Jitendra Malik, following her diploma from the National Technical University of Athens in Greece, and previously served as a research scientist at Meta’s FAIR team. She received the PAMI Young Researcher Award in 2021 for her distinguished contribution to computer vision, the PAMI Mark Everingham Award for the open-source software suite Detectron (2021), a Google Faculty Award (2024), an Okawa Research Award (2024), and a Packard Fellowship (2025). Notably, she co-authored the Marr Prize-winning paper "Mask R-CNN" at ICCV 2017. Recognized as a leader in her field, she was named one of 30 influential women advancing AI in 2019 by ReWork and was nominated for the Women in AI Awards in 2020 by VentureBeat.

Dr. Sarah Parisot is a Principal Research Manager in the People-Centric AI group at Microsoft Research Cambridge. Her research interests include data-efficient learning, large vision-language models, and controllability of visual generative models, including interactive world models and their application to support creative ideation.

Prior to her role at Microsoft, she led the London AI Theory team at Huawei's Noah's Ark Lab. Earlier in her career, she was a Research Associate at Imperial College London, where she developed graph neural network methodologies for medical imaging. She earned her PhD in Applied Mathematics from INRIA and École Centrale Paris in 2013.