activity
20232026
most citedMegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories

8 citations · 16 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2026

All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Experts

Xingsong Ye, Yongkun Du, Jiaxin Zhang +6

Multilingual scene text recognition (STR) remains challenging due to the scarcity of training data for most languages and the difficulty of serving diverse scripts within a single…

cs.CV2026

DocIntent: Answerability-Guided Agentic Restoration for Real-World Document Visual Question Answering

Zihan Huang, Shihang Wu, Junle Liu +4

Real-world degradations such as blur, shadow, distortion, and moire patterns severely impair the document question-answering capabilities of Multimodal Large Language Models (MLLMs…

cs.CV2026

One Patch Is Enough: Reinforcement-Optimized Visual Token Grounding for MLLM-Based Scene Text Spotting

Rui Tang, Wentao Yang, Peirong Zhang +4

Scene text spotting requires high-precision alignment between textual recognition and spatial localization. While visual-token grounding has emerged as a promising formulation for…

cs.CV2025★ 8 cited

MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories

Yuyi Zhang, Yongxin Shi, Peirong Zhang +3

Foundational to the Chinese language and culture, Chinese characters encompass extraordinarily extensive and ever-expanding categories, with the latest Chinese GB18030-2022 standar…

cs.RO2025★ 5 cited

Online Signature Verification based on the Lagrange formulation with 2D and 3D robotic models

Moises Diaz, Miguel A. Ferrer, Juan M. Gil +3

Online Signature Verification commonly relies on function-based features, such as time-sampled horizontal and vertical coordinates, as well as the pressure exerted by the writer, o…

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.LG2025

Smaller But Better: Unifying Layout Generation with Smaller Large Language Models

Peirong Zhang, Jiaxin Zhang, Jiahuan Cao +2

We propose LGGPT, an LLM-based model tailored for unified layout generation. First, we propose Arbitrary Layout Instruction (ALI) and Universal Layout Response (ULR) as the uniform…

cs.CV2024

Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach

Peirong Zhang, Lianwen Jin

Currently, the prevalence of online handwriting has spurred a critical need for effective retrieval systems to accurately search relevant handwriting instances from specific writer…

cs.CV2024

LEGO: Self-Supervised Representation Learning for Scene Text Images

Yujin Ren, Jiaxin Zhang, Lianwen Jin

In recent years, significant progress has been made in scene text recognition by data-driven methods. However, due to the scarcity of annotated real-world data, the training of the…

cs.CV2024

Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid

Mingxin Huang, Yuliang Liu, Dingkang Liang +2

Recently, scaling images to high resolution has received much attention in multimodal large language models (MLLMs). Most existing practices adopt a sliding-window-style cropping s…

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.CV2023★ 3 cited

Hierarchical Side-Tuning for Vision Transformers

Weifeng Lin, Ziheng Wu, Wentao Yang +3

Fine-tuning pre-trained Vision Transformers (ViTs) has showcased significant promise in enhancing visual recognition tasks. Yet, the demand for individualized and comprehensive fin…