Yamin Han — accepted AI-conference papers

2026

CT2BSE: 3D BSE Microstructural Image Cross-Device Generation from µCT for Cement Hydration via Voxel Swin Transformer

Haozhong Gao, Liangliang Zhang, Yamin Han, Ruiqi Han, Lin Wang, Bo Yang

IJCAI 2026

Acquiring three-dimensional(3D) microstructural images of cement hydration reveals critical microscale features essential for understanding hydration mechanisms and advancing material development. Micro-computed tomography(µCT) is widely used to capture these images due to its non-destructive, repea

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2023

SSML-QNet: Scale-Separative Metric Learning Quadruplet Network for Multi-modal Image Patch Matching

Xiuwei Zhang, Yi Sun, Yamin Han, Yanping Li, Hanlin Yin, Yinghui Xing +1

IJCAI 2023poster

Multi-modal image matching is very challenging due to the significant diversities in visual appearance of different modal images. Typically, the existing well-performed methods mainly focus on learning invariant and discriminative features for measuring the relation between multi-modal image pairs.…

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