activity
20172025
most citedToward high-performance online HCCR: a CNN approach with DropDistortion, path signature and spatial stochastic max-pooling

53 citations · 70 across the 11 of their papers we have counts for

collaborators

13 papers

cs.LG2025

OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning

Mingxin Huang, Yongxin Shi, Dezhi Peng +3

Recent advancements in multimodal slow-thinking systems have demonstrated remarkable performance across various visual reasoning tasks. However, their capabilities in text-rich ima…

cs.CV2025

Privacy-Preserving Biometric Verification with Handwritten Random Digit String

Peirong Zhang, Yuliang Liu, Songxuan Lai +2

Handwriting verification has stood as a steadfast identity authentication method for decades. However, this technique risks potential privacy breaches due to the inclusion of perso…

cs.CV2024

DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming

Jiaxin Zhang, Wentao Yang, Songxuan Lai +2

Current multimodal large language models (MLLMs) face significant challenges in visual document understanding (VDU) tasks due to the high resolution, dense text, and complex layout…

cs.CV2022

PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition

Dezhi Peng, Lianwen Jin, Yuliang Liu +2

Handwritten Chinese text recognition (HCTR) has been an active research topic for decades. However, most previous studies solely focus on the recognition of cropped text line image…

cs.CV2021

SPTS: Single-Point Text Spotting

Dezhi Peng, Xinyu Wang, Yuliang Liu +9

Existing scene text spotting (i.e., end-to-end text detection and recognition) methods rely on costly bounding box annotations (e.g., text-line, word-level, or character-level boun…

cs.CV2021

SVC-onGoing: Signature Verification Competition

Ruben Tolosana, Ruben Vera-Rodriguez, Carlos Gonzalez-Garcia +29

This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of the art in a…

cs.CV2021

ICDAR 2021 Competition on On-Line Signature Verification

Ruben Tolosana, Ruben Vera-Rodriguez, Carlos Gonzalez-Garcia +28

This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021). The goal of SVC 2021 is to evaluate the limi…

cs.CV2020★ 7 cited

Improving Attention-Based Handwritten Mathematical Expression Recognition with Scale Augmentation and Drop Attention

Zhe Li, Lianwen Jin, Songxuan Lai +1

Handwritten mathematical expression recognition (HMER) is an important research direction in handwriting recognition. The performance of HMER suffers from the two-dimensional struc…

cs.CV2019★ 1 cited

SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification

Songxuan Lai, Lianwen Jin, Luojun Lin +2

An open research problem in automatic signature verification is the skilled forgery attacks. However, the skilled forgeries are very difficult to acquire for representation learnin…

cs.CV2019★ 3 cited

Offline Writer Identification based on the Path Signature Feature

Songxuan Lai, Lianwen Jin

In this paper, we propose a novel set of features for offline writer identification based on the path signature approach, which provides a principled way to express information con…

cs.CV2018★ 1 cited

EnsNet: Ensconce Text in the Wild

Shuaitao Zhang, Yuliang Liu, Lianwen Jin +2

A new method is proposed for removing text from natural images. The challenge is to first accurately localize text on the stroke-level and then replace it with a visually plausible…

cs.CV2017★ 5 cited

Online Signature Verification using Recurrent Neural Network and Length-normalized Path Signature

Songxuan Lai, Lianwen Jin, Weixin Yang

Inspired by the great success of recurrent neural networks (RNNs) in sequential modeling, we introduce a novel RNN system to improve the performance of online signature verificatio…

cs.CV2017★ 53 cited

Toward high-performance online HCCR: a CNN approach with DropDistortion, path signature and spatial stochastic max-pooling

Songxuan Lai, Lianwen Jin, Weixin Yang

This paper presents an investigation of several techniques that increase the accuracy of online handwritten Chinese character recognition (HCCR). We propose a new training strategy…