Di Gai

According to our database, Di Gai authored at least 29 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Dual-Student Adversarial Framework With Discriminator and Consistency-Driven Learning for Semi-Supervised Medical Image Segmentation.

Haifan Wu, Yuhan Geng, Di Gai, Jieying Tu, Xin Xiong, Qi Wang, Zheng Huang

IEEE J. Biomed. Health Informatics, February, 2026

CFG-MambaNet: Contextual and Frequency-Guided Mamba Network for medical image segmentation.

Guoqiang Ren, Zhen Chen, Pengxiang Su, Da Li, Xiaoping Yang, Di Gai, Xin Wei, Weifeng Xu, Hongping Chen, Xiaoguang Zhao, Xiaofei Wang, Pengfei Liu, Honghua Ye, Yanfeng Ma

npj Digit. Medicine, 2026

Residual Mamba-Driven Multiscale Attentive Network With Boundary Enhancement for IoT-Enabled Medical Image Segmentation.

Guoqiang Ren, Qi Wang, Jieying Tu, Pengxiang Su, Hua Li, Da Li, Yanqi Huang, Hengrui Liu, Di Gai, Pengfei Liu, Peng Luo, Shuxiao Li

IEEE Internet Things J., 2026

Receptive field weighted representation and context enhancement for SAR ship detection.

Cheng Zha, Weidong Min, Qing Han, Qi Wang, Di Gai, Hongyue Xiang

Expert Syst. Appl., 2026

SACE-Net: Scale-adaptive and context-enriched network for medical image classification.

Jieying Tu, Jianqiang Du, Jianfeng Xu, Di Gai

Biomed. Signal Process. Control., 2026

2025

Threefold Encoder Interaction: Hierarchical Multi-Grained Semantic Alignment for Cross-Modal Food Retrieval.

Qi Wang, Dong Wang, Weidong Min, Di Gai, Qing Han, Cheng Zha, Yuling Zhong

IEEE Trans. Multim., 2025

Pseudo Label Purification with Dual Contrastive Learning for Unsupervised Vehicle Re-Identification.

Jiyang Xu, Qi Wang, Xin Xiong, Weidong Min, Jiang Luo, Di Gai, Qing Han

Comput. Mater. Continua, 2025

Human Motion Prediction Based on Multi-Level Spatial and Temporal Cues Learning.

Jiayi Geng, Yuxuan Wu, Wenbo Lu, Pengxiang Su, Amel Ksibi, Wei Li, Zaffar Ahmed Shaikh, Di Gai

Comput. Mater. Continua, 2025

Vehiclemae: View-Asymmetry Mutual Learning for Vehicle Re-Identification Pre-Training Via Masked Autoencoders.

Qi Wang, Zeyu Zhang, Dong Wang, Di Gai, Xin Xiong, Jiyang Xu, Ruihua Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification.

Jiyang Xu, Qi Wang, Xin Xiong, Di Gai, Ruihua Zhou, Dong Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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, Xin Xiong, Chunjiang Peng

Multim. Tools Appl., October, 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., September, 2024

SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification.

Dong Wang, Qi Wang, Weidong Min, Di Gai, Qing Han, Longfei Li, Yuhan Geng

Comput. Vis. Media, August, 2024

Dual-stream-based dense local features contrastive learning for semi-supervised medical image segmentation.

Zheng Huang, Di Gai, Weidong Min, Qi Wang, Lixin Zhan

Biomed. Signal Process. Control., February, 2024

Semi-supervised contextual cognitive augmentation-based cross-teaching network for multiclass medical image segmentation.

Di Gai, Yuxuan Wu, Yusong Xiao, Yuhan Geng, Lei Cao, Xin Xiong, An-qi Zhong

IET Image Process., 2024

Vision-language constraint graph representation learning for unsupervised vehicle re-identification.

Dong Wang, Qi Wang, Zhiwei Tu, Weidong Min, Xin Xiong, Yuling Zhong, Di Gai

Expert Syst. Appl., 2024

HD-Former: A hierarchical dependency Transformer for medical image segmentation.

Haifan Wu, Weidong Min, Di Gai, Zheng Huang, Yuhan Geng, Qi Wang, Ruibin Chen

Comput. Biol. Medicine, 2024

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

Comput. Biol. Medicine, 2024

2023

M-AResNet: a novel multi-scale attention residual network for melting curve image classification.

Pengxiang Su, Xuanjing Shen, Haipeng Chen, Di Gai, Yu Liu

Multim. Tools Appl., November, 2023

Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation.

Di Gai, Runyang Feng, Weidong Min, Xiaosong Yang, Pengxiang Su, Qi Wang, Qing Han

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Trade-off background joint learning for unsupervised vehicle re-identification.

Sheng Wang, Qi Wang, Weidong Min, Qing Han, Di Gai, Haowen Luo

Vis. Comput., August, 2023

Dual similarity pre-training and domain difference encouragement learning for vehicle re-identification in the wild.

Qi Wang, Yuling Zhong, Weidong Min, Haoyu Zhao, Di Gai, Qing Han

Pattern Recognit., July, 2023

MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation.

Di Gai, Heng Luo, Jing He, Pengxiang Su, Zheng Huang, Song Zhang, Zhijun Tu

KSII Trans. Internet Inf. Syst., 2023

2022

Lightweight iris segmentation network for low-power devices.

Guang Huo, Dawei Lin, Di Gai, Meng Yuan, Tianpeng Pei

J. Electronic Imaging, 2022

2021

Intuitionistic Fuzzy C-Means Algorithm Based on Membership Information Transfer-Ring and Similarity Measurement.

Haipeng Chen, Zeyu Xie, Yongping Huang, Di Gai

Sensors, 2021

2020

Multi-focus image fusion method based on two stage of convolutional neural network.

Di Gai, Xuanjing Shen, Haipeng Chen, Pengxiang Su

Signal Process., 2020

Medical image fusion using the PCNN based on IQPSO in NSST domain.

Di Gai, Xuanjing Shen, Haipeng Chen, Zeyu Xie, Pengxiang Su

IET Image Process., 2020

Multi-focus noisy image fusion based on gradient regularized convolutional sparse representatione.

Xuanjing Shen, Yunqi Zhang, Haipeng Chen, Di Gai

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

2019

Medical Image Fusion via PCNN Based on Edge Preservation and Improved Sparse Representation in NSST Domain.

Di Gai, Xuanjing Shen, Hang Cheng, Haipeng Chen

IEEE Access, 2019