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Fei Huang

4 papers hereh-index 4137 citations6 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Fei Huang — 55 papers, h 24
  • Fei Huang — 44 papers
  • Fei Huang — 28 papers, h 16
  • Fei Huang — 26 papers, h 15
  • Fei Huang — 22 papers, h 49
  • Fei Huang — 19 papers

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 citedOmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Platypus: A Generalized Specialist Model for Reading Text in Various Forms

Peng Wang, Zhaohai Li, Jun Tang +4

Reading text from images (either natural scenes or documents) has been a long-standing research topic for decades, due to the high technical challenge and wide application range. P…

cs.CV2024

Visual Text Generation in the Wild

Yuanzhi Zhu, Jiawei Liu, Feiyu Gao +6

Recently, with the rapid advancements of generative models, the field of visual text generation has witnessed significant progress. However, it is still challenging to render high-…

cs.CV2024★ 1 cited

OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition

Jianqiang Wan, Sibo Song, Wenwen Yu +6

Recently, visually-situated text parsing (VsTP) has experienced notable advancements, driven by the increasing demand for automated document understanding and the emergence of Gene…

cs.CV2024

LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training

Rujiao Long, Hangdi Xing, Zhibo Yang +4

Table structure recognition (TSR) aims at extracting tables in images into machine-understandable formats. Recent methods solve this problem by predicting the adjacency relations o…

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