activity
20242026
collaborators

5 papers

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

An archaeological Catalog Collection Method Based on Large Vision-Language Models

Honglin Pang, Yi Chang, Tianjing Duan +1

Archaeological catalogs, containing key elements such as artifact images, morphological descriptions, and excavation information, are essential for studying artifact evolution and…

cs.CV2024

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…