Nowadays, robots are dominating the manufacturing, entertainment, and healthcare
industries. Robot vision aims to equip robots with the capabilities to discover information …

This paper presents ShapeLLM, the first 3D Multimodal Large Language Model (LLM)
designed for embodied interaction, exploring a universal 3D object understanding with 3D …

This report surveys advances in deep learning‐based modelling techniques that address
four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We …

Data-driven methods serve an increasingly important role in discovering geometric,
structural, and semantic relationships between shapes. In contrast to traditional approaches …

Naturally controllable human-scene interaction (HSI) generation has an important role in
various fields, such as VR/AR content creation and human-centered AI. However, existing …

We introduce a contextual descriptor which aims to provide a geometric description of the
functionality of a 3D object in the context of a given scene. Differently from previous works …

We introduce a method for learning a model for the mobility of parts in 3D objects. Our
method allows not only to understand the dynamic functionalities of one or more parts in a …

Interactions play a key role in understanding objects and scenes for both virtual and real-
world agents. We introduce a new general representation for proximal interactions among …

Next generation smart and augmented reality systems demand a computational
understanding of monocular footage that captures humans in physical spaces to reveal …