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G. Wang

20 papers hereh-index 8425 citations19 works total

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

author position
  • first author9
  • middle author10

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • eess.IV1
same name
  • G. Wang — 213 papers
  • G. Wang — 190 papers, h 66
  • G. Wang — 150 papers, h 153
  • G. Wang — 29 papers, h 26
  • G. Wang — 23 papers, h 9
  • G. Wang — 20 papers, h 20

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
20192026
most citedDistilling Knowledge by Mimicking Features

41 citations · 76 across the 17 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 1 cited

How to Reduce Change Detection to Semantic Segmentation

Guo-Hua Wang, Bin-Bin Gao, Chengjie Wang

Change detection (CD) aims to identify changes that occur in an image pair taken different times. Prior methods devise specific networks from scratch to predict change masks in pix…

cs.CV2022★ 1 cited

R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning

Guo-Hua Wang, Jianxin Wu

Most recent semi-supervised deep learning (deep SSL) methods used a similar paradigm: use network predictions to update pseudo-labels and use pseudo-labels to update network parame…

cs.CV2022★ 1 cited

PENCIL: Deep Learning with Noisy Labels

Kun Yi, Guo-Hua Wang, Jianxin Wu

Deep learning has achieved excellent performance in various computer vision tasks, but requires a lot of training examples with clean labels. It is easy to collect a dataset with n…

cs.CV2022

Practical Network Acceleration with Tiny Sets

Guo-Hua Wang, Jianxin Wu

Due to data privacy issues, accelerating networks with tiny training sets has become a critical need in practice. Previous methods mainly adopt filter-level pruning to accelerate n…

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