第二届CVPR 2026 CV4CHL Workshop征稿启动，用AI大模型守护儿童未来

Core Insights - The article discusses the rapid development of multimodal large language models and embodied AI, highlighting that AI and computer vision technologies focused on children's development, health, and education are still in their infancy [2] - The CV4CHL workshop aims to bridge interdisciplinary perspectives on pediatric AI and computer vision solutions, addressing critical gaps in the field [2] Event Details - The CV4CHL workshop is organized by PediaMed AI in collaboration with several prestigious institutions, including the University of Illinois Urbana-Champaign, Hong Kong University of Science and Technology (Guangzhou), ETH Zurich, and Shenzhen Children's Hospital [2] - The workshop will take place during CVPR 2026, scheduled for June 3-7, 2026, in Denver, Colorado, USA [7][6] Key Topics - The workshop will cover various themes, including: - Basic models inspired by human children's learning and cognitive abilities, and cutting-edge research on multimodal large language models [6] - Brain-computer interface technologies for children [6] - Frontiers in human-computer interaction with augmented reality glasses and smart glasses for children [6] - Applications of embodied AI in pediatrics [6] - Computer vision and foundational models related to children's cognitive development, such as gaze and gesture analysis [6] - Pediatric smart healthcare, including early disease screening and medical imaging and video analysis [6] - AI-enabled education, including smart educational tools and assistive technologies for children with special needs [6] - AI support for children's and adolescents' mental health [6] - Ethical and social implications of children's AI technologies, including privacy protection and human-robot interaction [6] Submission Information - The submission deadline for the workshop is March 31, 2026, with notification of review results by April 8, 2026 [6] - The workshop will feature both proceeding and non-proceeding submission tracks, with specific page limits for each [8]