activity
20182026
most citedOCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

125 citations · 135 across the 11 of their papers we have counts for

collaborators

13 papers

cs.HC2026

AlphaOracle: Oracle bone script decipherment via human-workflow-inspired deep learning

Yuliang Liu, Haisu Guan, Pengjie Wang +11

Approximately 3,000 of the 4,500 oracle bone script (OBS) characters remain undeciphered due to fragmentary inscriptions and sparse evidence. Current AI approaches fail to replicat…

cs.CV2025

Visual Text Processing: A Comprehensive Review and Unified Evaluation

Yan Shu, Weichao Zeng, Fangmin Zhao +9

Visual text is a crucial component in both document and scene images, conveying rich semantic information and attracting significant attention in the computer vision community. Bey…

cs.CV2025

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning

Ling Fu, Zhebin Kuang, Jiajun Song +21

Scoring the Optical Character Recognition (OCR) capabilities of Large Multimodal Models (LMMs) has witnessed growing interest. Existing benchmarks have highlighted the impressive p…

cs.CV2024

CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy

Zhibo Yang, Jun Tang, Zhaohai Li +9

Large Multimodal Models (LMMs) have demonstrated impressive performance in recognizing document images with natural language instructions. However, it remains unclear to what exten…

cs.CV2024

Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction

Pengjie Wang, Kaile Zhang, Xinyu Wang +5

Oracle Bone Inscriptions is one of the oldest existing forms of writing in the world. However, due to the great antiquity of the era, a large number of Oracle Bone Inscriptions (OB…

cs.CV2024

Deciphering Oracle Bone Language with Diffusion Models

Haisu Guan, Huanxin Yang, Xinyu Wang +5

Originating from China's Shang Dynasty approximately 3,000 years ago, the Oracle Bone Script (OBS) is a cornerstone in the annals of linguistic history, predating many established…

cs.CV2024

Bridging the Gap Between End-to-End and Two-Step Text Spotting

Mingxin Huang, Hongliang Li, Yuliang Liu +2

Modularity plays a crucial role in the development and maintenance of complex systems. While end-to-end text spotting efficiently mitigates the issues of error accumulation and sub…

cs.CV2024

VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-domain Generalization

Yuliang Liu, Mingxin Huang, Hao Yan +6

Text spotting, a task involving the extraction of textual information from image or video sequences, faces challenges in cross-domain adaption, such as image-to-image and image-to-…

cs.AI2024★ 4 cited

An open dataset for the evolution of oracle bone characters: EVOBC

Haisu Guan, Jinpeng Wan, Yuliang Liu +6

The earliest extant Chinese characters originate from oracle bone inscriptions, which are closely related to other East Asian languages. These inscriptions hold immense value for a…

cs.CV2024★ 1 cited

An open dataset for oracle bone script recognition and decipherment

Pengjie Wang, Kaile Zhang, Xinyu Wang +8

Oracle bone script, one of the earliest known forms of ancient Chinese writing, presents invaluable research materials for scholars studying the humanities and geography of the Sha…

cs.CV2023

Progressive Evolution from Single-Point to Polygon for Scene Text

Linger Deng, Mingxin Huang, Xudong Xie +3

The advancement of text shape representations towards compactness has enhanced text detection and spotting performance, but at a high annotation cost. Current models use single-poi…

cs.CV2023★ 125 cited

OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

Yuliang Liu, Zhang Li, Mingxin Huang +7

Large models have recently played a dominant role in natural language processing and multimodal vision-language learning. However, their effectiveness in text-related visual tasks…

cs.CV2018★ 5 cited

DeRPN: Taking a further step toward more general object detection

Lele Xie, Yuliang Liu, Lianwen Jin +1

Most current detection methods have adopted anchor boxes as regression references. However, the detection performance is sensitive to the setting of the anchor boxes. A proper sett…