activity
20202023
most citedSEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition

20 citations · 21 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2023

IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition

Xiaomeng Yang, Zhi Qiao, Yu Zhou

Nowadays, scene text recognition has attracted more and more attention due to its diverse applications. Most state-of-the-art methods adopt an encoder-decoder framework with the at…

cs.CV2023

Masked and Permuted Implicit Context Learning for Scene Text Recognition

Xiaomeng Yang, Zhi Qiao, Jin Wei +2

Scene Text Recognition (STR) is difficult because of the variations in text styles, shapes, and backgrounds. Though the integration of linguistic information enhances models' perfo…

cs.CV2022

1st Place Solutions for UG2+ Challenge 2022 ATMOSPHERIC TURBULENCE MITIGATION

Zhuang Liu, Zhichao Zhao, Ye Yuan +3

In this technical report, we briefly introduce the solution of our team ''summer'' for Atomospheric Turbulence Mitigation in UG+ Challenge in CVPR 2022. In this task, we propos…

cs.CV20211 cited

PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition

Zhi Qiao, Yu Zhou, Jin Wei +5

Nowadays, scene text recognition has attracted more and more attention due to its various applications. Most state-of-the-art methods adopt an encoder-decoder framework with attent…

cs.CV2020

Gaussian Constrained Attention Network for Scene Text Recognition

Zhi Qiao, Xugong Qin, Yu Zhou +2

Scene text recognition has been a hot topic in computer vision. Recent methods adopt the attention mechanism for sequence prediction which achieve convincing results. However, we a…

cs.CV202020 cited

SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition

Zhi Qiao, Yu Zhou, Dongbao Yang +2

Scene text recognition is a hot research topic in computer vision. Recently, many recognition methods based on the encoder-decoder framework have been proposed, and they can handle…