activity
20242026
most citedTowards Unified Multi-granularity Text Detection with Interactive Attention

1 citations · 1 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better

Gengluo Li, Xingyu Wan, Shangpin Peng +20

We present HunyuanOCR-1.5, a lightweight end-to-end OCR-specialized vision-language model. HunyuanOCR unifies document parsing, text spotting, information extraction, text-image tr…

cs.CV2026

ChartArena: Benchmarking Chart Parsing across Languages, Scenarios, and Formats

Shangpin Peng, Gengluo Li, Xingyu Wan +10

Charts are a primary medium for conveying quantitative and relational information, yet systematically evaluating chart parsing models remains difficult. Existing benchmarks focus o…

cs.CV2026

StrucTab: A Structured Optimization Framework for Table Parsing

Gengluo Li, Shangpin Peng, Chengquan Zhang +10

Table parsing aims to convert table images into structured, machine-readable representations, a task requiring the joint perception of complex spatial layouts and textual content.…

cs.CV2026

Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characters

Gengluo Li, Shangpin Peng, Xingyu Wan +16

Vision Large Language Models (VLLMs) have achieved remarkable success in modern text-rich visual understanding. However, their perceptual robustness in the face of the continuous m…

cs.CV2026

Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training

Gengluo Li, Pengyuan Lyu, Chengquan Zhang +7

Document parsing has recently advanced with multimodal large language models (MLLMs) that directly map document images to structured outputs. Traditional cascaded pipelines depend…

cs.CV2026

MMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine Translation

Gengluo Li, Chengquan Zhang, Yupu Liang +9

End-to-end text-image machine translation (TIMT), which directly translates textual content in images across languages, is crucial for real-world multilingual scene understanding.…

cs.CV2025

HunyuanOCR Technical Report

Hunyuan Vision Team, Pengyuan Lyu, Xingyu Wan +29

This paper presents HunyuanOCR, a commercial-grade, open-source, and lightweight (1B parameters) Vision-Language Model (VLM) dedicated to OCR tasks. The architecture comprises a Na…

cs.CV2024

StrucTexTv3: An Efficient Vision-Language Model for Text-rich Image Perception, Comprehension, and Beyond

Pengyuan Lyu, Yulin Li, Hao Zhou +8

Text-rich images have significant and extensive value, deeply integrated into various aspects of human life. Notably, both visual cues and linguistic symbols in text-rich images pl…

cs.CV2024★ 1 cited

Towards Unified Multi-granularity Text Detection with Interactive Attention

Xingyu Wan, Chengquan Zhang, Pengyuan Lyu +5

Existing OCR engines or document image analysis systems typically rely on training separate models for text detection in varying scenarios and granularities, leading to significant…