We have compiled a list of potential keynote speakers, from which three will be selected based on their availability. In making the final selection, we will consider diversity in terms of gender, affiliation, seniority, and topic to ensure a balanced and inclusive program.

• Michel Valstar, BlueSkeye AI, UK (potential topic: Building Trustworthy Behaviomedics)
• Alice O’Toole, University of Texas at Dallas, USA (potential topic: Face, Body, and Person Identification in Real-world Viewing Conditions)
• Mei Lee Ngan, NIST, USA (potential topic: Practical insights into large-scale face evaluations)
• Ira Kemelmacher-Shlizerman, University of Washington, USA (potential topic: Modeling People From Visual Data)
• Michael Black, MPI, Germany (potential topic: 3D Human Foundation Agents)
• Gul Varol, École des Ponts ParisTech, France (potential topic: 3D human motion generation)
• Tadas Baltrušaitis, Microsoft, UK (potential topic: synthetic data with digital humans)
• Ioannis Patras, Queen Mary University of London, UK (potential topic: generative models for face reenactment / foundation models for facial expressions)
• Kristen Grauman, University of Texas at Dallas, USA (potential topic: human activity understanding / 4D human interaction)
• Luisa Verdoliva, University Federico II of Naples, Italy (potential topic: deep fakes)
• Rita Cucchiara, University of Modena, Italy (potential topics: machine unlearning – a contemporary topic and good to have)
• Dima Damen, University of Bristol, UK (potential topic: long video understanding)
• Barbara Caputo, Politecnico di Torino, Italy (potential topic: egocentric action recognition)