Hu, Qinghua

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Wang, Q., Wu, B., Zhu, P., Li, P., Zuo, W., & Hu, Q. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 9,641

Enhancing geometric factors in model learning and inference for object detection and instance segmentation

Zheng, Z., Wang, P., Ren, D., Liu, W., Ye, R., Hu, Q., & Zuo, W. (2022) · IEEE Transactions on Cybernetics

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,552

Detection and tracking meet drones challenge

Zhu, P., Wen, L., Du, D., Bian, X., Fan, H., Hu, Q., & Ling, H. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 1,336

Vision meets drones: A challenge

Zhu, P., Wen, L., Bian, X., Ling, H., & Hu, Q. (2018) · arXiv

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 352

Task-sequencing meta learning for intelligent few-shot fault diagnosis with limited data

Hu, Y., Liu, R., Li, X., Chen, D., & Hu, Q. (2022) · IEEE Transactions on Industrial Informatics

Machine Fault Diagnosis TechniquesDomain Adaptation and Few-Shot Learning

Cited by 180