◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yang Li

3 papers hereh-index 13467 citations70 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • Yang Li — 28 papers, h 20
  • Yang Li — 25 papers, h 10
  • Yang Li — 19 papers
  • Yang Li — 17 papers, h 3
  • Yang Li — 16 papers, h 20
  • Yang Li — 15 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedPyramid Feature Attention Network for Monocular Depth Prediction

14 citations · 14 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2026

Reference-Free Omnidirectional Stereo Matching via Multi-View Consistency Maximization

Lehuai Xu, Weiming Zhang, Yang Li +2

Reliable omnidirectional depth estimation from multi-fisheye stereo matching is pivotal to many applications, such as embodied robotics. Existing approaches either rely on spherica…

cs.CV2024

Robust and Flexible Omnidirectional Depth Estimation with Multiple 360-degree Cameras

Ming Li, Xuejiao Hu, Xueqian Jin +3

Omnidirectional depth estimation has received much attention from researchers in recent years. However, challenges arise due to camera soiling and variations in camera layouts, aff…

cs.CV2024★ 14 cited

Pyramid Feature Attention Network for Monocular Depth Prediction

Yifang Xu, Chenglei Peng, Ming Li +2

Deep convolutional neural networks (DCNNs) have achieved great success in monocular depth estimation (MDE). However, few existing works take the contributions for MDE of different…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.