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Yucheng Wang

4 papers hereh-index 8221 citations22 works total

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.CV3
  • eess.IV1
same name
  • Yucheng Wang — 19 papers, h 15
  • Yucheng Wang — 15 papers, h 11
  • Yucheng Wang — 12 papers, h 5
  • Yucheng Wang — 12 papers, h 4
  • Yucheng Wang — 8 papers, h 1
  • Yucheng Wang — 7 papers, h 3

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
20182021
most citedDeep Stereo Matching with Explicit Cost Aggregation Sub-Architecture

21 citations · 26 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021★ 3 cited

GenReg: Deep Generative Method for Fast Point Cloud Registration

Xiaoshui Huang, Zongyi Xu, Guofeng Mei +4

Accurate and efficient point cloud registration is a challenge because the noise and a large number of points impact the correspondence search. This challenge is still a remaining…

eess.IV2020★ 1 cited

ASDN: A Deep Convolutional Network for Arbitrary Scale Image Super-Resolution

Jialiang Shen, Yucheng Wang, Jian Zhang

Deep convolutional neural networks have significantly improved the peak signal-to-noise ratio of SuperResolution (SR). However, image viewer applications commonly allow users to zo…

cs.CV2018★ 1 cited

Deep Bi-Dense Networks for Image Super-Resolution

Yucheng Wang, Jialiang Shen, Jian Zhang

This paper proposes Deep Bi-Dense Networks (DBDN) for single image super-resolution. Our approach extends previous intra-block dense connection approaches by including novel inter-…

cs.CV2018★ 21 cited

Deep Stereo Matching with Explicit Cost Aggregation Sub-Architecture

Lidong Yu, Yucheng Wang, Yuwei Wu +1

Deep neural networks have shown excellent performance for stereo matching. Many efforts focus on the feature extraction and similarity measurement of the matching cost computation…

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