Panel: Cross-media Intelligence

Yueting Zhuang, Ramesh C. Jain, Wen Gao, Liu Ren, Kiyoharu Aizawa

Abstract: In this panel, we attempt to review and discuss the recent emerging theoretical and technological advances and trends of cross-media. Integrating data-driven machine learning with human knowledge can effectively lead to explainable, robust, and general models. Thus, the effective employment of the interaction between cross-media data during inference and reasoning becomes a challenge to populate the cross-media knowledge graph. Some other fundamental and controversial issues such as leveraging the auxiliary information to boost the cross-media understanding, the existence of unified framework to bridge the gap between multi-modality will also be discussed in this panel.