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Wei Yao

Technische Universitaet Muenchen

18 papers hereh-index 333.3k citations163 works total

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

author position
  • middle author12
  • last author6

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.LG1
  • eess.IV1
affiliations
  • Technische Universitaet Muenchen
same name
  • Wei Yao — 19 papers, h 18
  • Wei Yao — 13 papers, h 6
  • Wei Yao — 11 papers, h 6
  • Wei Yao — 6 papers, h 5
  • Wei Yao — 5 papers, h 3
  • Wei Yao — 4 papers, h 2

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
20192024
most cited1D-Convolutional Capsule Network for Hyperspectral Image Classification

19 citations · 44 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.CV2022

One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning

Puzuo Wang, Wei Yao, Jie Shao

Reliance on vast annotations to achieve leading performance severely restricts the practicality of large-scale point cloud semantic segmentation. For the purpose of reducing data a…

eess.IV2022★ 1 cited

Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR

Rong Huang, Wei Yao, Zhong Xu +2

Forest land plays a vital role in global climate, ecosystems, farming and human living environments. Therefore, forest biomass estimation methods are necessary to monitor changes i…

cs.CV2022★ 1 cited

Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context

Jie Shao, Wei Yao, Peng Wan +3

Registration of unmanned aerial vehicle laser scanning (ULS) and ground light detection and ranging (LiDAR) point clouds in forests is critical to create a detailed representation…

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