Qing En

According to our database, Qing En authored at least 21 papers between 2016 and 2025.

Collaborative distances:

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

2025

Dynamic text prompt joint multimodal features for accurate plant disease image captioning.

Fangfang Liang, Zilong Huang, Wenjian Wang, Zhenxue He, Qing En

Vis. Comput., June, 2025

Attention-based unsupervised prompt learning for SAM in leaf disease segmentation.

Luda Tian, Yingchun Yuan, Qing En, Wei Ma, Guanghui Zhang, Fangfang Liang

Knowl. Based Syst., 2025

2024

Enhancing zero-shot object detection with external knowledge-guided robust contrast learning.

Lijuan Duan, Guangyuan Liu, Qing En, Zhaoying Liu, Zhi Gong, Bian Ma

Pattern Recognit. Lett., 2024

Multi-prototype Co-saliency Model for Plant Disease Detection.

Fangfang Liang, Ye Zhang, Xiaodan Zhang, Qing En

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

AKGNet: Attribute Knowledge Guided Unsupervised Lung-Infected Area Segmentation.

Qing En, Yuhong Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Unsupervised Domain Adaptation for Medical Image Segmentation with Dynamic Prototype-based Contrastive Learning.

Qing En, Yuhong Guo

Proceedings of the Conference on Health, 2024

Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation.

Qing En, Yuhong Guo

Proceedings of the 35th British Machine Vision Conference, 2024

Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification.

Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation.

Qing En, Yuhong Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Efficient Low-Rank GNN Defense Against Structural Attacks.

Abdullah Alchihabi, Qing En, Yuhong Guo

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars.

Taoseef Ishtiak, Qing En, Yuhong Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

TPSN: Transformer-based multi-Prototype Search Network for few-shot semantic segmentation.

Wenjian Wang, Lijuan Duan, Qing En, Baochang Zhang, Fangfang Liang

Comput. Electr. Eng., 2022

Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer.

Wenjian Wang, Lijuan Duan, Yuxi Wang, Qing En, Junsong Fan, Zhaoxiang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exemplar Learning for Medical Image Segmentation.

Qing En, Yuhong Guo

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Joint Multisource Saliency and Exemplar Mechanism for Weakly Supervised Video Object Segmentation.

Qing En, Lijuan Duan, Zhaoxiang Zhang

IEEE Trans. Image Process., 2021

Context-sensitive zero-shot semantic segmentation model based on meta-learning.

Wenjian Wang, Lijuan Duan, Qing En, Baochang Zhang

Neurocomputing, 2021

Multimodal Dance Generation Networks Based on Audio-Visual Analysis.

Lijuan Duan, Xiao Xu, Qing En

Int. J. Multim. Data Eng. Manag., 2021

TMD-FS: Improving Few-Shot Object Detection with Transformer Multi-modal Directing.

Ying Yuan, Lijuan Duan, Wenjian Wang, Qing En

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2019

Deep feature representation based on privileged knowledge transfer.

Lijuan Duan, Qing En, Yuanhua Qiao, Song Cui, Laiyun Qing

Pattern Recognit. Lett., 2019

Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection.

Qing En, Lijuan Duan, Zhaoxiang Zhang, Xiang Bai, Yundong Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2016

Human action recognition based on discriminative supervoxels.

Yanan Guo, Wei Ma, Lijuan Duan, Qing En, Juncheng Chen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016