With the rapid development of high-speed communication and artificial intelligence
technologies, human perception of real-world scenes is no longer limited to the use of small …

Abstract 360deg cameras can capture complete environments in a single shot, which makes
360deg imagery alluring in many computer vision tasks. However, monocular depth …

The ability of scene understanding has sparked active research for panoramic image
semantic segmentation. However, the performance is hampered by distortion of the …

Depth estimation from a monocular 360 image is a burgeoning problem owing to its holistic
sensing of a scene. Recently, some methods, eg, OmniFusion, have applied the tangent …

Omnidirectional image (ODI) data is captured with a 360x180 field-of-view, which is much
wider than the pinhole cameras and contains richer spatial information than the …

Omnidirectional images (ODIs) are commonly used in real-world visual tasks, and high-
resolution ODIs help improve the performance of related visual tasks. Most existing super …

In this work we explore egocentric whole-body motion capture using a single fisheye camera
which simultaneously estimates human body and hand motion. This task presents significant …

This paper addresses an interesting yet challenging problem--source-free unsupervised
domain adaptation (SFUDA) for pinhole-to-panoramic semantic segmentation--given only a …

Indoor 360 panoramas have two essential properties.(1) The panoramas are continuous
and seamless in the horizontal direction.(2) Gravity plays an important role in indoor …

In this paper, we address the challenging source-free unsupervised domain adaptation
(SFUDA) for pinhole-to-panoramic semantic segmentation, given only a pinhole image pre …