Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams
2021 · IEEE Transactions on Multimedia · 36 citations
https://doi.org/10.1109/tmm.2021.3087000
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Yan‐Ming Zhang
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Yan‐Ming Zhang is an academic researcher from Zhejiang University of Science and Technology. The author has contributed to research in topics: Handwritten Text Recognition Techniques & Advanced Neural Network Applications & Domain Adaptation and Few-Shot Learning. The author has an h-index of 19, co-authored 51 publications.
ORCID: 0000-0001-6718-5589Papers by this author
worksContextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks
2020 · SN Computer Science · 11 citations
https://doi.org/10.1007/s42979-020-00177-0
Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks
2021 · Pattern Recognition · 11 citations
https://doi.org/10.1016/j.patcog.2021.107859
Transformer-based stroke relation encoding for online handwriting and sketches
2023 · Pattern Recognition · 8 citations
https://doi.org/10.1016/j.patcog.2023.110131
DyGAT: Dynamic stroke classification of online handwritten documents and sketches
2023 · Pattern Recognition · 7 citations
https://doi.org/10.1016/j.patcog.2023.109564
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