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Yang Li

4 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 author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Yang Li — 55 papers, h 20
  • Yang Li — 26 papers, h 11
  • Yang Li — 25 papers, h 14
  • Yang Li — 25 papers, h 10
  • Yang Li — 22 papers, h 20
  • Yang Li — 20 papers, h 18

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

activity
20232026
most citedPyramid Feature Attention Network for Monocular Depth Prediction

14 citations · 18 across the 4 of their papers we have counts for

collaborators

4 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…

cs.CV2023★ 4 cited

MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer

Yifang Xu, Yunzhuo Sun, Yang Li +3

With the increasing demand for video understanding, video moment and highlight detection (MHD) has emerged as a critical research topic. MHD aims to localize all moments and predic…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.