Zhe Sheng

2 accepted papers

2023

$\mathcal {S}{2}$Net: Accurate Panorama Depth Estimation on Spherical Surface

Meng Li, Senbo Wang, Weihao Yuan, Weichao Shen, Zhe Sheng, Zilong Dong

RA-L 2023

Monocular depth estimation is an ambiguous problem, thus global structural cues play an important role in current data-driven single-view depth estimation methods. Panorama images capture the complete spatial information of their surroundings utilizing the equirectangular projection which introduces

Cited by 10 Source ↗Scholar ↗

2021

UniFuse: Unidirectional Fusion for 360° Panorama Depth Estimation

Hualie Jiang, Zhe Sheng, Siyu Zhu, Zilong Dong, Rui Huang

RA-L 2021

Learning depth from spherical panoramas is becoming a popular research topic because a panorama has a full field-of-view of the environment and provides a relatively complete description of a scene. However, applying well-studied CNNs for perspective images to the standard representation of spherica

Cited by 156 Source ↗Scholar ↗