AMFG 2025 invites cutting-edge work in face, gesture, and multimodal recognition, where deep learning has unlocked unprecedented gains—but also raised concerns around generalization, transparency, and robustness. As models saturate benchmarks yet falter in real-world scenes with occlusion, motion, or lighting shifts, new challenges demand innovative solutions. Topics include detection and tracking, neural rendering, generative modeling, vision-language systems, kinship and soft biometrics, cross-modal fusion, benchmark creation, and ethical AI. With applications spanning HCI, surveillance, AR/VR, and behavioral science, AMFG aims to push beyond recognition into systems that interpret, adapt, and interact. Submit your work and shape the future of embodied vision.