Medical Image Fusion via PCNN Based on Edge Preservation and Improved Sparse Representation in NSST Domain. - Di Gai; Xuanjing Shen; Hang Cheng; Haipeng Chen 002 (IEEE Access, 2019)

Multi-focus noisy image fusion based on gradient regularized convolutional sparse representatione. - Xuanjing Shen; Yunqi Zhang; Haipeng Chen 002; Di Gai (MMAsia, 2020)

Medical image fusion using the PCNN based on IQPSO in NSST domain. - Di Gai; Xuanjing Shen; Haipeng Chen 002; Zeyu Xie; Pengxiang Su (IET Image Process., 2020)

Multi-focus image fusion method based on two stage of convolutional neural network. - Di Gai; Xuanjing Shen; Haipeng Chen 002; Pengxiang Su (Signal Process., 2020)

Intuitionistic Fuzzy C-Means Algorithm Based on Membership Information Transfer-Ring and Similarity Measurement. - Haipeng Chen 002; Zeyu Xie; Yongping Huang; Di Gai (Sensors, 2021)

Dual similarity pre-training and domain difference encouragement learning for vehicle re-identification in the wild. - Qi Wang 061; Yuling Zhong; Weidong Min; Haoyu Zhao; Di Gai; Qing Han (Pattern Recognit., 2023)

Trade-off background joint learning for unsupervised vehicle re-identification. - Sheng Wang; Qi Wang 061; Weidong Min; Qing Han; Di Gai; Haowen Luo (Vis. Comput., 2023)

Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation. - Di Gai; Runyang Feng; Weidong Min; Xiaosong Yang; Pengxiang Su; Qi Wang 061; Qing Han (IEEE Trans. Circuits Syst. Video Technol., 2023)

M-AResNet: a novel multi-scale attention residual network for melting curve image classification. - Pengxiang Su; Xuanjing Shen; Haipeng Chen 002; Di Gai; Yu Liu (Multim. Tools Appl., 2023)

SDMI-Net: Spatially Dependent Mutual Information Network for semi-supervised medical image segmentation. - Di Gai; Zheng Huang; Weidong Min; Yuhan Geng; Haifan Wu; Meng Zhu; Qi Wang 061 (Comput. Biol. Medicine, 2024)

HD-Former: A hierarchical dependency Transformer for medical image segmentation. - Haifan Wu; Weidong Min; Di Gai; Zheng Huang; Yuhan Geng; Qi Wang 061; Ruibin Chen (Comput. Biol. Medicine, 2024)

Vision-language constraint graph representation learning for unsupervised vehicle re-identification. - Dong Wang; Qi Wang 061; Zhiwei Tu; Weidong Min; Xin Xiong; Yuling Zhong; Di Gai (Expert Syst. Appl., 2024)

Dual-stream-based dense local features contrastive learning for semi-supervised medical image segmentation. - Zheng Huang; Di Gai; Weidong Min; Qi Wang 061; Lixin Zhan (Biomed. Signal Process. Control., 2024)

SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification. - Dong Wang; Qi Wang 061; Weidong Min; Di Gai; Qing Han; Longfei Li; Yuhan Geng (Comput. Vis. Media, 2024)

Feature ensemble network for medical image segmentation with multi-scale atrous transformer. - Di Gai; Yuhan Geng; Xia Huang; Zheng Huang; Xin Xiong; Ruihua Zhou; Qi Wang (IET Image Process., 2024)

Semi-supervised medical image classification based on class prototype matching for soft pseudo labels with consistent regularization. - Di Gai; Ruonan Xiong; Weidong Min; Zheng Huang; Qi Wang 061; Xin Xiong; Chunjiang Peng (Multim. Tools Appl., 2024)