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Wei-Han Chen

3 papers hereh-index 228 citations4 works total

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

author position
  • middle author3

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

fields
  • cs.CV3
same name
  • Wei-Han Chen — 2 papers, h 9
  • Wei-Han Chen — 1 paper, h 2
  • Wei-Han Chen — 1 paper, h 6
  • Wei-Han Chen — 1 paper, h 9
  • Wei-Han Chen — 1 paper, h 2
  • Wei-Han Chen — 1 paper, h 4

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 citedResolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy

24 citations · 25 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023

Semantic Segmentation Using Super Resolution Technique as Pre-Processing

Chih-Chia Chen, Wei-Han Chen, Jen-Shiun Chiang +2

Combining high-level and low-level visual tasks is a common technique in the field of computer vision. This work integrates the technique of image super resolution to semantic segm…

cs.CV2023★ 1 cited

CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization

Rui-Yang Ju, Yu-Shian Lin, Jen-Shiun Chiang +3

To efficiently extract textual information from color degraded document images is a significant research area. The prolonged imperfect preservation of ancient documents has led to…

cs.CV2023★ 24 cited

Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy

Rui-Yang Ju, Chih-Chia Chen, Jen-Shiun Chiang +3

The Transformer-based method has demonstrated remarkable performance for image super-resolution in comparison to the method based on the convolutional neural networks (CNNs). Howev…

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