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Ruiyu Li

6 papers hereh-index 81.6k citations9 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV6
same name
  • Ruiyu Li — 4 papers, h 4
  • Ruiyu Li — 3 papers, h 3
  • Ruiyu Li — 3 papers, h 2
  • Ruiyu Li — 3 papers, h 0
  • Ruiyu Li — 2 papers, h 4
  • Ruiyu Li — 2 papers, h 2

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
20182020
most cited2D Attentional Irregular Scene Text Recognizer

50 citations · 125 across the 6 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 7 cited

An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation

Jihan Yang, Ruijia Xu, Ruiyu Li +4

We focus on Unsupervised Domain Adaptation (UDA) for the task of semantic segmentation. Recently, adversarial alignment has been widely adopted to match the marginal distribution o…

cs.CV2019★ 6 cited

Reflective Decoding Network for Image Captioning

Lei Ke, Wenjie Pei, Ruiyu Li +2

State-of-the-art image captioning methods mostly focus on improving visual features, less attention has been paid to utilizing the inherent properties of language to boost captioni…

cs.CV2019★ 50 cited

2D Attentional Irregular Scene Text Recognizer

Pengyuan Lyu, Zhicheng Yang, Xinhang Leng +3

Irregular scene text, which has complex layout in 2D space, is challenging to most previous scene text recognizers. Recently, some irregular scene text recognizers either rectify t…

cs.CV2019

Region Refinement Network for Salient Object Detection

Zhuotao Tian, Hengshuang Zhao, Michelle Shu +4

Albeit intensively studied, false prediction and unclear boundaries are still major issues of salient object detection. In this paper, we propose a Region Refinement Network (RRN),…

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