141 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Ningbo UniversityCN41 papers
- Chinese Academy of SciencesCN16 papers
- Zhejiang UniversityCN13 papers
- Institute of High Energy PhysicsCN10 papers
- Tsinghua UniversityCN10 papers
- NingboTech UniversityCN9 papers
- Huazhong University of Science and TechnologyCN8 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PisaIT8 papers
- National Institute for AstrophysicsIT8 papers
- Peking UniversityCN8 papers
- Institute of Theoretical PhysicsCN7 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT7 papers
5 papers · 1 filter
Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models
Huafu Li, Guo Chen, Jia Xia +5
Visual information extraction (VIE) from visually rich documents remains challenging due to high layout variability and real-world impairments. Existing methods typically rely on s…
Performance Evaluation of Transfer Learning Based Medical Image Classification Techniques for Disease Detection
Zeeshan Ahmad, Shudi Bao, Meng Chen
Medical image classification plays an increasingly vital role in identifying various diseases by classifying medical images, such as X-rays, MRIs and CT scans, into different categ…
EditGarment: An Instruction-Based Garment Editing Dataset Constructed with Automated MLLM Synthesis and Semantic-Aware Evaluation
Deqiang Yin, Junyi Guo, Huanda Lu +2
Instruction-based garment editing enables precise image modifications via natural language, with broad applications in fashion design and customization. Unlike general editing task…
BD-MSA: Body decouple VHR Remote Sensing Image Change Detection method guided by multi-scale feature information aggregation
Yonghui Tan, Xiaolong Li, Yishu Chen +1
The purpose of remote sensing image change detection (RSCD) is to detect differences between bi-temporal images taken at the same place. Deep learning has been extensively used to…
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Qiujie Dong, Zixiong Wang, Manyi Li +6
Geometric deep learning has sparked a rising interest in computer graphics to perform shape understanding tasks, such as shape classification and semantic segmentation. When the in…