20 citations · 20 across the 9 of their papers we have counts for
9 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…
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…