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researcher

Cong Yao

45 papers hereh-index 3915.1k citations67 works total

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

author position
  • first author2
  • middle author26
  • last author16

Across the 44 of 45 papers where every author was matched, so the position is known.

fields
  • cs.CV42
  • cs.LG2
  • eess.IV1
same name
  • Cong Yao — 11 papers, h 4
  • Cong Yao — 9 papers, h 8
  • Cong Yao — 7 papers, h 5
  • Cong Yao — 3 papers, h 1
  • Cong Yao — 2 papers, h 3
  • Cong Yao — 1 paper

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
20142023
most citedScene Text Detection via Holistic, Multi-Channel Prediction

212 citations · 1.3k across the 45 of their papers we have counts for

collaborators
Showing 2022 · cs.CVShow all

4 papers · 2 filters

cs.CV2022★ 2 cited

Multi-Granularity Prediction for Scene Text Recognition

Peng Wang, Cheng Da, Cong Yao

Scene text recognition (STR) has been an active research topic in computer vision for years. To tackle this challenging problem, numerous innovative methods have been successively…

cs.CV2022

Levenshtein OCR

Cheng Da, Peng Wang, Cong Yao

A novel scene text recognizer based on Vision-Language Transformer (VLT) is presented. Inspired by Levenshtein Transformer in the area of NLP, the proposed method (named Levenshtei…

cs.CV2022★ 1 cited

Vision-Language Pre-Training for Boosting Scene Text Detectors

Sibo Song, Jianqiang Wan, Zhibo Yang +4

Recently, vision-language joint representation learning has proven to be highly effective in various scenarios. In this paper, we specifically adapt vision-language joint learning…

cs.CV2022★ 12 cited

Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion

Minghui Liao, Zhisheng Zou, Zhaoyi Wan +2

Recently, segmentation-based scene text detection methods have drawn extensive attention in the scene text detection field, because of their superiority in detecting the text insta…

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