Multimodal learning provides a path to fully utilize all types of information related to the
modeling target to provide the model with a global vision. Zero‐shot learning (ZSL) is a …

What does transparency mean in a shared autonomy framework? Different ways of
understanding system transparency in human-robot interaction can be found in the state of …

Deep reinforcement learning (DRL) is poised to revolutionise the field of artificial intelligence
(AI) by endowing autonomous systems with high levels of understanding of the real world …

The ability to efficiently search for images is essential for improving the user experiences
across various products. Incorporating user feedback, via multi-modal inputs, to navigate …

We present a new network whereby an agent navigates in the 3D environment to find a
target object according to a language-based instruction. Such a task is challenging because …

The ability to efficiently search for images over an indexed database is the cornerstone for
several user experiences. Incorporating user feedback, through multi-modal inputs provide …

Document structure extraction has been a widely researched area for decades. Recent work
in this direction has been deep learning-based, mostly focusing on extracting structure using …

The process of spoken language acquisition based on soundimage grounding has been
one of the topics that has attracted the most significant interest of linguists and human …

The process of spoken-language acquisition has been one of the topics of greatest interest
to linguists for decades. By uti-lizing modern machine learning techniques, we simulated this …

Recent advances in computer vision (CV) and natural language processing have been
driven by exploiting big data on practical applications. However, these research fields are …