14 citations · 14 across the 3 of their papers we have counts for
3 papers
eess.IV2023
SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation
Qing Xu, Wenwei Kuang, Zeyu Zhang +3
Image segmentation plays an essential role in nuclei image analysis. Recently, the segment anything model has made a significant breakthrough in such tasks. However, the current mo…
cs.LG2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
Qing Xu, Min Wu, Xiaoli Li +2
For many real-world time series tasks, the computational complexity of prevalent deep leaning models often hinders the deployment on resource-limited environments (e.g., smartphone…
eess.IV2022★ 14 cited
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation
Qing Xu, Zhicheng Ma, Na HE +1
Deep learning architecture with convolutional neural network (CNN) achieves outstanding success in the field of computer vision. Where U-Net, an encoder-decoder architecture struct…