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Jiajia Wu

14 papers hereh-index 8190 citations31 works total

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

author position
  • middle author11
  • last author1

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CV4
  • cs.RO4
  • cs.AI1
same name
  • Jiajia Wu — 1 paper
  • Jiajia Wu — 1 paper, h 2
  • Jiajia Wu — 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
20222026
most citedMultimodal Tree Decoder for Table of Contents Extraction in Document Images

2 citations · 3 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

iFlyBot-VLA Technical Report

Yuan Zhang, Chenyu Xue, Wenjie Xu +3

We introduce iFlyBot-VLA, a large-scale Vision-Language-Action (VLA) model trained under a novel framework. The main contributions are listed as follows: (1) a latent action model…

cs.CV2022★ 2 cited

Multimodal Tree Decoder for Table of Contents Extraction in Document Images

Pengfei Hu, Zhenrong Zhang, Jianshu Zhang +2

Table of contents (ToC) extraction aims to extract headings of different levels in documents to better understand the outline of the contents, which can be widely used for document…

cs.CV2022

Vision-Language Adaptive Mutual Decoder for OOV-STR

Jinshui Hu, Chenyu Liu, Qiandong Yan +4

Recent works have shown huge success of deep learning models for common in vocabulary (IV) scene text recognition. However, in real-world scenarios, out-of-vocabulary (OOV) words a…

cs.CV2022★ 1 cited

SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition

Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara +4

Scene text recognition is a challenging task due to the complex backgrounds and diverse variations of text instances. In this paper, we propose a novel Semantic GAN and Balanced At…

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