Speaker

Elisa Ricci

• Genral Chair
• Elisa Ricci is an ELLIS Fellow and an IAPR Fellow. Her research lies at the intersection of computer vision, deep learning, and robotics perception, focusing on novel methods for learning from visual and multimodal data in open-world scenarios. She is particularly interested in domain adaptation, continual and self-supervised learning, with applications to dynamic visual understanding and embodied AI. She has published extensively in top-tier conferences and journals in computer vision and machine learning, regularly serves as Area Chair for major conferences such as CVPR, ICCV, and ECCV, and participates in international collaborative projects across academia and industry. Through her research, Prof. Ricci contributes to advancing intelligent perception systems capable of robust, adaptive, and trustworthy understanding of the world.

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