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2020 – today
- 2024
[j17]Zheng Huang, Di Gai, Weidong Min
, Qi Wang, Lixin Zhan:
Dual-stream-based dense local features contrastive learning for semi-supervised medical image segmentation. Biomed. Signal Process. Control. 88(Part A): 105636 (2024)- [j16]Di Gai, Zheng Huang, Weidong Min, Yuhan Geng, Haifan Wu, Meng Zhu, Qi Wang:
SDMI-Net: Spatially Dependent Mutual Information Network for semi-supervised medical image segmentation. Comput. Biol. Medicine 174: 108374 (2024) - [j15]Haifan Wu, Weidong Min, Di Gai, Zheng Huang, Yuhan Geng, Qi Wang, Ruibin Chen:
HD-Former: A hierarchical dependency Transformer for medical image segmentation. Comput. Biol. Medicine 178: 108671 (2024) - [j14]Dong Wang, Qi Wang, Weidong Min, Di Gai, Qing Han, Longfei Li, Yuhan Geng:
SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification. Comput. Vis. Media 10(4): 771-789 (2024) - [j13]Dong Wang, Qi Wang, Zhiwei Tu, Weidong Min, Xin Xiong, Yuling Zhong, Di Gai:
Vision-language constraint graph representation learning for unsupervised vehicle re-identification. Expert Syst. Appl. 255: 124495 (2024) - [j12]Di Gai, Yuhan Geng, Xia Huang, Zheng Huang, Xin Xiong, Ruihua Zhou, Qi Wang:
Feature ensemble network for medical image segmentation with multi-scale atrous transformer. IET Image Process. 18(11): 3082-3092 (2024) - [j11]Di Gai, Ruonan Xiong, Weidong Min, Zheng Huang, Qi Wang, Xin Xiong, Chunjiang Peng:
Semi-supervised medical image classification based on class prototype matching for soft pseudo labels with consistent regularization. Multim. Tools Appl. 83(33): 79695-79713 (2024) - 2023
- [j10]Di Gai, Heng Luo, Jing He, Pengxiang Su, Zheng Huang, Song Zhang, Zhijun Tu:
MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation. KSII Trans. Internet Inf. Syst. 17(9): 2458-2482 (2023) - [j9]Pengxiang Su, Xuanjing Shen, Haipeng Chen, Di Gai, Yu Liu:
M-AResNet: a novel multi-scale attention residual network for melting curve image classification. Multim. Tools Appl. 82(27): 42961-42976 (2023) - [j8]Qi Wang, Yuling Zhong, Weidong Min, Haoyu Zhao, Di Gai, Qing Han:
Dual similarity pre-training and domain difference encouragement learning for vehicle re-identification in the wild. Pattern Recognit. 139: 109513 (2023) - [j7]Di Gai, Runyang Feng, Weidong Min, Xiaosong Yang, Pengxiang Su, Qi Wang, Qing Han:
Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4564-4576 (2023) - [j6]Sheng Wang, Qi Wang, Weidong Min, Qing Han, Di Gai, Haowen Luo:
Trade-off background joint learning for unsupervised vehicle re-identification. Vis. Comput. 39(8): 3823-3835 (2023) - 2022
- [j5]Guang Huo, Dawei Lin, Di Gai, Meng Yuan, Tianpeng Pei:
Lightweight iris segmentation network for low-power devices. J. Electronic Imaging 31(3) (2022) - 2021
- [j4]Haipeng Chen, Zeyu Xie, Yongping Huang, Di Gai:
Intuitionistic Fuzzy C-Means Algorithm Based on Membership Information Transfer-Ring and Similarity Measurement. Sensors 21(3): 696 (2021) - 2020
- [j3]Di Gai, Xuanjing Shen, Haipeng Chen, Zeyu Xie, Pengxiang Su:
Medical image fusion using the PCNN based on IQPSO in NSST domain. IET Image Process. 14(9): 1870-1880 (2020) - [j2]Di Gai, Xuanjing Shen, Haipeng Chen, Pengxiang Su:
Multi-focus image fusion method based on two stage of convolutional neural network. Signal Process. 176: 107681 (2020) - [c1]Xuanjing Shen, Yunqi Zhang, Haipeng Chen, Di Gai:
Multi-focus noisy image fusion based on gradient regularized convolutional sparse representatione. MMAsia 2020: 34:1-34:7
2010 – 2019
- 2019
- [j1]Di Gai, Xuanjing Shen, Hang Cheng, Haipeng Chen:
Medical Image Fusion via PCNN Based on Edge Preservation and Improved Sparse Representation in NSST Domain. IEEE Access 7: 85413-85429 (2019)
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