4 accepted papers
Visual inspection robots used in factories and outdoor environments require the ability to accurately recognize visual differences between similar objects and further verbalize the recognition results to present the differences to humans. Despite the application of Large Language Models (LLMs) and m…
Recognizing continuous changes offers valuable insights into past historical events supports current trend analysis and facilitates future planning. This knowledge is crucial for a variety of fields such as meteorology and agriculture environmental science urban planning and construction tourism and…
This paper proposes a new visual reasoning formulation that aims at discovering changes between image pairs and their temporal orders. Recognizing scene dynamics and their chronological orders is a fundamental aspect of human cognition. The aforementioned abilities make it possible to follow step-by…
We introduce a new task of question generation to eliminate the uncertainty of referring expressions in 3D indoor environments (3D-REQ). Referring to an object using natural language is one of the most common occurrences in daily human conversations; therefore, instructing robots to identify a certa…