46 citations · 48 across the 5 of their papers we have counts for
5 papers
Exploring Generalizable Distillation for Efficient Medical Image Segmentation
Xingqun Qi, Zhuojie Wu, Min Ren +3
Efficient medical image segmentation aims to provide accurate pixel-wise predictions for medical images with a lightweight implementation framework. However, lightweight frameworks…
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks
Zhuojie Wu, Xingqun Qi, Zijian Wang +4
Face inpainting aims to complete the corrupted regions of the face images, which requires coordination between the completed areas and the non-corrupted areas. Recently, memory-ori…
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation
Wenxuan Zou, Muyi Sun
In recent years, deep convolutional neural networks have made significant advances in pathology image segmentation. However, pathology image segmentation encounters with a dilemma…
PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation
Zhuojie Wu, Zijian Wang, Wenxuan Zou +4
3D to 2D retinal vessel segmentation is a challenging problem in Optical Coherence Tomography Angiography (OCTA) images. Accurate retinal vessel segmentation is important for the d…
CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor
Xiaohui Zhao, Endi Niu, Zhuo Wu +1
Extracting key information from documents, such as receipts or invoices, and preserving the interested texts to structured data is crucial in the document-intensive streamline proc…