5 accepted papers
LiDAR depth cameras are widely used for accurate depth measurement in various applications. However, when multiple cameras operate simultaneously, mutual interference causes artifacts in the captured depth data, which existing image restoration methods struggle to handle. In this paper, we propose D…
Perspective-aware spatial reasoning involves understanding spatial relationships from specific viewpoints--either egocentric (observer-centered) or allocentric (object-centered).While vision-language models (VLMs) perform well in egocentric settings, their performance deteriorates when reasoning fro
LiDAR depth cameras are widely used for accurate depth measurement in various applications. However, when multiple cameras operate simultaneously, mutual interference causes artifacts in the captured depth data, which existing image restoration methods struggle to handle. In this paper, we propose D
Large vision-language models (LVLMs) are increasingly deployed in interactive applications such as virtual and augmented reality, where a first-person (egocentric) view captured by head-mounted cameras serves as key input. While this view offers fine-grained cues about user attention and hand-object…
The 360<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula> camera is a compact omnidirectional perception system for capturing panoramic images with the same field of view as LiDA