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Minghui Liao

Huazhong University of Science and Technology

23 papers hereh-index 195.5k citations30 works total

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

author position
  • first author8
  • middle author15

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV22
  • q-bio.GN1
affiliations
  • Huazhong University of Science and Technology
same name
  • Minghui Liao — 13 papers, h 5
  • Minghui Liao — 1 paper, h 2
  • Minghui Liao — 1 paper, h 1

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
20162024
most citedTextBoxes++: A Single-Shot Oriented Scene Text Detector

942 citations · 1.6k across the 22 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Partial Scene Text Retrieval

Hao Wang, Minghui Liao, Zhouyi Xie +2

The task of partial scene text retrieval involves localizing and searching for text instances that are the same or similar to a given query text from an image gallery. However, exi…

cs.CV2024

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling

Xudong Xie, Hao Yan, Liang Yin +6

Multimodal document understanding is a challenging task to process and comprehend large amounts of textual and visual information. Recent advances in Large Language Models (LLMs) h…

cs.CV2024

Sequential Visual and Semantic Consistency for Semi-supervised Text Recognition

Mingkun Yang, Biao Yang, Minghui Liao +2

Scene text recognition (STR) is a challenging task that requires large-scale annotated data for training. However, collecting and labeling real text images is expensive and time-co…

cs.CV2024

Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition

Mingkun Yang, Biao Yang, Minghui Liao +2

Scene text recognition is a rapidly developing field that faces numerous challenges due to the complexity and diversity of scene text, including complex backgrounds, diverse fonts,…

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