activity
20162026
most citedScene Text Recognition with Sliding Convolutional Character Models

72 citations · 210 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CV2026

Handwriting Trajectory Recovery via Autoregressive Ordered Stroke Instance Prediction

En-Guang Wang, Yan-Ming Zhang, Fei Yin +1

Handwriting trajectory recovery aims to infer the dynamic writing process hidden behind a static handwritten image. Since offline handwriting preserves only the final spatial ink p…

cs.AI2024

Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram

Ming-Liang Zhang, Zhong-Zhi Li, Fei Yin +2

Geometry problem solving (GPS) requires capacities of multi-modal understanding, multi-hop reasoning and theorem knowledge application. In this paper, we propose a neural-symbolic…

cs.CV2024

Ensemble Quadratic Assignment Network for Graph Matching

Haoru Tan, Chuang Wang, Sitong Wu +3

Graph matching is a commonly used technique in computer vision and pattern recognition. Recent data-driven approaches have improved the graph matching accuracy remarkably, whereas…

cs.CV2023

LANS: A Layout-Aware Neural Solver for Plane Geometry Problem

Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin +1

Geometry problem solving (GPS) is a challenging mathematical reasoning task requiring multi-modal understanding, fusion, and reasoning. Existing neural solvers take GPS as a vision…

cs.AI2023

A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram

Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu

Geometry problem solving (GPS) is a high-level mathematical reasoning requiring the capacities of multi-modal fusion and geometric knowledge application. Recently, neural solvers h…

cs.CV2022★ 5 cited

Plane Geometry Diagram Parsing

Ming-Liang Zhang, Fei Yin, Yi-Han Hao +1

Geometry diagram parsing plays a key role in geometry problem solving, wherein the primitive extraction and relation parsing remain challenging due to the complex layout and betwee…

cs.CV2022

Document Dewarping with Control Points

Guo-Wang Xie, Fei Yin, Xu-Yao Zhang +1

Document images are now widely captured by handheld devices such as mobile phones. The OCR performance on these images are largely affected due to geometric distortion of the docum…

cs.CV2021

Identity-guided Face Generation with Multi-modal Contour Conditions

Qingyan Bai, Weihao Xia, Fei Yin +1

Recent face generation methods have tried to synthesize faces based on the given contour condition, like a low-resolution image or sketch. However, the problem of identity ambiguit…

cs.CV2021

Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network

Guo-Wang Xie, Fei Yin, Xu-Yao Zhang +1

As camera-based documents are increasingly used, the rectification of distorted document images becomes a need to improve the recognition performance. In this paper, we propose a n…

cs.CV2020★ 4 cited

Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm

Mengbiao Zhao, Wei Feng, Fei Yin +2

Arbitrary-shaped text detection is an important and challenging task in computer vision. Most existing methods require heavy data labeling efforts to produce polygon-level text reg…

cs.CV2018★ 19 cited

SCAN: Sliding Convolutional Attention Network for Scene Text Recognition

Yi-Chao Wu, Fei Yin, Xu-Yao Zhang +2

Scene text recognition has drawn great attentions in the community of computer vision and artificial intelligence due to its challenges and wide applications. State-of-the-art recu…

cs.CV2018★ 27 cited

Robust Classification with Convolutional Prototype Learning

Hong-Ming Yang, Xu-Yao Zhang, Fei Yin +1

Convolutional neural networks (CNNs) have been widely used for image classification. Despite its high accuracies, CNN has been shown to be easily fooled by some adversarial example…

cs.CV2017★ 72 cited

Scene Text Recognition with Sliding Convolutional Character Models

Fei Yin, Yi-Chao Wu, Xu-Yao Zhang +1

Scene text recognition has attracted great interests from the computer vision and pattern recognition community in recent years. State-of-the-art methods use concolutional neural n…

cs.CV2017★ 54 cited

Deep Direct Regression for Multi-Oriented Scene Text Detection

Wenhao He, Xu-Yao Zhang, Fei Yin +1

In this paper, we first provide a new perspective to divide existing high performance object detection methods into direct and indirect regressions. Direct regression performs boun…

cs.CV2016★ 29 cited

Drawing and Recognizing Chinese Characters with Recurrent Neural Network

Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang +2

Recent deep learning based approaches have achieved great success on handwriting recognition. Chinese characters are among the most widely adopted writing systems in the world. Pre…