To contribute to the understanding of cross-modal technologies, we invite original articles in relevant topics, which include but are not limited to

Multi modal representation/feature learning
Cross-modal retrieval
Data alignment across modalities, e.g., synchronising motion sensor with video
Data translation, e.g., visually indicated sound
Learning using side information, e.g., modality hallucination
Knowledge transfer across modalities, e.g., zero-shot/few-shot learning
Applications with cross-modal data–IoT (Internet of Things)–operation and maintenance–surveillance–public transportation–logistics–health care–task-oriented dialog–human-robot interaction with vision and audio–user/product/job search and recommendation–social media retrieval and analysis–others
More detailed submission guideliness could be found in https://crossmodallearning.github.io