31 citations · 63 across the 14 of their papers we have counts for
14 papers
Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge Augmentation
Jianing Zhang, Runan Li, Honglin Pang +5
Deciphering ancient Chinese Oracle Bone Script (OBS) is a challenging task that offers insights into the beliefs, systems, and culture of the ancient era. Existing approaches treat…
LadderMoE: Ladder-Side Mixture of Experts Adapters for Bronze Inscription Recognition
Rixin Zhou, Peiqiang Qiu, Qian Zhang +2
Bronze inscriptions (BI), engraved on ritual vessels, constitute a crucial stage of early Chinese writing and provide indispensable evidence for archaeological and historical studi…
Clustering-based Feature Representation Learning for Oracle Bone Inscriptions Detection
Ye Tao, Xinran Fu, Honglin Pang +2
Oracle Bone Inscriptions (OBIs), play a crucial role in understanding ancient Chinese civilization. The automated detection of OBIs from rubbing images represents a fundamental yet…
Ancient Script Image Recognition and Processing: A Review
Xiaolei Diao, Rite Bo, Yanling Xiao +8
Ancient scripts, e.g., Egyptian hieroglyphs, Oracle Bone Inscriptions, and Ancient Greek inscriptions, serve as vital carriers of human civilization, embedding invaluable historica…
ShiftedBronzes: Benchmarking and Analysis of Domain Fine-Grained Classification in Open-World Settings
Rixin Zhou, Honglin Pang, Qian Zhang +3
In real-world applications across specialized domains, addressing complex out-of-distribution (OOD) challenges is a common and significant concern. In this study, we concentrate on…
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model
Xi Wang, Hongzhen Li, Heng Fang +4
Image rendering from line drawings is vital in design and image generation technologies reduce costs, yet professional line drawings demand preserving complex details. Text prompts…
Gamification of virtual museum curation: a case study of Chinese bronze wares
Zhaokang Li, Qian Zhang, Jiayue Xu +2
Museums, which are among the most popular science institutions outside schools, are usually used to display and introduce historical culture and cultural relics to tourists. Text a…
FilterPrompt: A Simple yet Efficient Approach to Guide Image Appearance Transfer in Diffusion Models
Xi Wang, Yichen Peng, Heng Fang +4
In controllable generation tasks, flexibly manipulating the generated images to attain a desired appearance or structure based on a single input image cue remains a critical and lo…
AI Mobile Application for Archaeological Dating of Bronze Dings
Chuntao Li, Ruihua Qi, Chuan Tang +4
We develop an AI application for archaeological dating of bronze Dings. A classification model is employed to predict the period of the input Ding, and a detection model is used to…
PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments
Rixin Zhou, Ding Xia, Yi Zhang +3
In this paper, we propose a learning-based image fragment pair-searching and -matching approach to solve the challenging restoration problem. Existing works use rule-based methods…
Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations
Xiaolei Diao, Daqian Shi, Jian Li +5
Optical character recognition (OCR) methods have been applied to diverse tasks, e.g., street view text recognition and document analysis. Recently, zero-shot OCR has piqued the int…
Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph
Rixin Zhou, Jiafu Wei, Qian Zhang +3
The archaeological dating of bronze dings has played a critical role in the study of ancient Chinese history. Current archaeology depends on trained experts to carry out bronze dat…
SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing
Jiafu Wei, Ding Xia, Haoran Xie +3
We propose an interactive editing method that allows humans to help deep neural networks (DNNs) learn a latent space more consistent with human knowledge, thereby improving classif…
CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising
Daqian Shi, Xiaolei Diao, Lida Shi +4
Degraded images commonly exist in the general sources of character images, leading to unsatisfactory character recognition results. Existing methods have dedicated efforts to resto…