Jingze Yu

ORCID: 0009-0008-5656-985X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications
  • Optical measurement and interference techniques

Monocular depth estimation, enabled by self-supervised learning, is a key technique for 3D perception in computer vision. However, it faces significant challenges real-world scenarios, which encompass adverse weather variations, motion blur, as well scenes with poor lighting conditions at night. Our research reveals that we can divide monocular estimation into three sub-problems: structure consistency, local texture disambiguation, and semantic-structural correlation. approach tackles the...

10.48550/arxiv.2410.06982 preprint EN arXiv (Cornell University) 2024-10-09
Coming Soon ...