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Yuliang Liu

40 papers hereh-index 172k citations49 works total

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

author position
  • first author5
  • middle author29
  • last author4

Across the 38 of 40 papers where every author was matched, so the position is known.

fields
  • cs.CV35
  • cs.AI3
  • cs.CL1
  • cs.HC1
same name
  • Yuliang Liu — 36 papers, h 32
  • Yuliang Liu — 8 papers, h 4
  • Yuliang Liu — 7 papers, h 5
  • Yuliang Liu — 6 papers, h 3
  • Yuliang Liu — 4 papers, h 2
  • Yuliang Liu — 2 papers, 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

activity
20232026
most citedOCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

125 citations · 166 across the 36 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

Progressive Evolution from Single-Point to Polygon for Scene Text

Linger Deng, Mingxin Huang, Xudong Xie +3

The advancement of text shape representations towards compactness has enhanced text detection and spotting performance, but at a high annotation cost. Current models use single-poi…

cs.CV2023★ 1 cited

Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion Models

Ling Fu, Zijie Wu, Yingying Zhu +2

Scene text detection techniques have garnered significant attention due to their wide-ranging applications. However, existing methods have a high demand for training data, and obta…

cs.CV2023★ 10 cited

Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

Zhang Li, Biao Yang, Qiang Liu +6

Large Multimodal Models (LMMs) have shown promise in vision-language tasks but struggle with high-resolution input and detailed scene understanding. Addressing these challenges, we…

cs.CV2023★ 125 cited

OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

Yuliang Liu, Zhang Li, Mingxin Huang +7

Large models have recently played a dominant role in natural language processing and multimodal vision-language learning. However, their effectiveness in text-related visual tasks…

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