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researcher

Zemin Tang

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedFully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

7 citations · 7 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 7 cited

Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

Zhao Zhang, Zemin Tang, Zheng Zhang +3

The Deep Convolutional Neural Networks (CNNs) have obtained a great success for pattern recognition, such as recognizing the texts in images. But existing CNNs based frameworks sti…

cs.CV2020

Dense Residual Network: Enhancing Global Dense Feature Flow for Character Recognition

Zhao Zhang, Zemin Tang, Yang Wang +4

Deep Convolutional Neural Networks (CNNs), such as Dense Convolutional Networks (DenseNet), have achieved great success for image representation by discovering deep hierarchical in…

cs.CV2019

Compressed DenseNet for Lightweight Character Recognition

Zhao Zhang, Zemin Tang, Yang Wang +3

Convolutional Recurrent Neural Network (CRNN) is a popular network for recognizing texts in images. Advances like the variant of CRNN, such as Dense Convolutional Network with Conn…

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