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Cong Yao

9 papers hereh-index 8400 citations10 works total

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

author position
  • middle author3
  • last author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV9
same name
  • Cong Yao — 45 papers, h 39
  • Cong Yao — 12 papers, h 4
  • 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
20222024
most citedBi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding

6 citations · 19 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 2 cited

Vision Grid Transformer for Document Layout Analysis

Cheng Da, Chuwei Luo, Qi Zheng +1

Document pre-trained models and grid-based models have proven to be very effective on various tasks in Document AI. However, for the document layout analysis (DLA) task, existing d…

cs.CV2023★ 2 cited

LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition

Changxu Cheng, Peng Wang, Cheng Da +2

The diversity in length constitutes a significant characteristic of text. Due to the long-tail distribution of text lengths, most existing methods for scene text recognition (STR)…

cs.CV2023★ 3 cited

GeoLayoutLM: Geometric Pre-training for Visual Information Extraction

Chuwei Luo, Changxu Cheng, Qi Zheng +1

Visual information extraction (VIE) plays an important role in Document Intelligence. Generally, it is divided into two tasks: semantic entity recognition (SER) and relation extrac…

cs.CV2023★ 2 cited

LORE: Logical Location Regression Network for Table Structure Recognition

Hangdi Xing, Feiyu Gao, Rujiao Long +5

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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