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Guosheng Lin

98 papers hereh-index 5115.6k citations171 works total

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

author position
  • first author10
  • middle author66
  • last author20

Across the 96 of 98 papers where every author was matched, so the position is known.

fields
  • cs.CV90
  • cs.LG6
  • cs.CR1
  • cs.RO1
same name
  • Guosheng Lin — 17 papers, h 6
  • Guosheng Lin — 9 papers, h 7
  • Guosheng Lin — 5 papers, h 3
  • Guosheng Lin — 4 papers, h 3
  • Guosheng Lin — 4 papers, h 2
  • Guosheng Lin — 3 papers, h 6

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
20132023
most citedLearning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

1.3k citations · 2.8k across the 97 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 20 cited

M2E-Try On Net: Fashion from Model to Everyone

Zhonghua Wu, Guosheng Lin, Qingyi Tao +1

Most existing virtual try-on applications require clean clothes images. Instead, we present a novel virtual Try-On network, M2E-Try On Net, which transfers the clothes from a model…

cs.CV2018★ 1 cited

Correlation Propagation Networks for Scene Text Detection

Zichuan Liu, Guosheng Lin, Wang Ling Goh +3

In this work, we propose a novel hybrid method for scene text detection namely Correlation Propagation Network (CPN). It is an end-to-end trainable framework engined by advanced Co…

cs.CV2018★ 28 cited

Learning Markov Clustering Networks for Scene Text Detection

Zichuan Liu, Guosheng Lin, Sheng Yang +3

A novel framework named Markov Clustering Network (MCN) is proposed for fast and robust scene text detection. MCN predicts instance-level bounding boxes by firstly converting an im…

cs.CV2018★ 10 cited

Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation

Tianyi Zhang, Guosheng Lin, Jianfei Cai +3

Weakly supervised semantic segmentation receives much research attention since it alleviates the need to obtain a large amount of dense pixel-wise ground-truth annotations for the…

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