15 citations · 55 across the 22 of their papers we have counts for
32 papers
Graph Classification via Discriminative Edge Feature Learning
Yang Yi, Xuequan Lu, Shang Gao +2
Spectral graph convolutional neural networks (GCNNs) have been producing encouraging results in graph classification tasks. However, most spectral GCNNs utilize fixed graphs when a…
SPCNet: Stepwise Point Cloud Completion Network
Fei Hu, Honghua Chen, Xuequan Lu +5
How will you repair a physical object with large missings? You may first recover its global yet coarse shape and stepwise increase its local details. We are motivated to imitate th…
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
Jilan Xu, Junlin Hou, Yuejie Zhang +5
Weakly Supervised Object Localization (WSOL) aims to localize objects with image-level supervision. Existing works mainly rely on Class Activation Mapping (CAM) derived from a clas…
AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review
Swathi Prabhua, Keerthana Prasada, Antonio Robels-Kelly +1
Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a subtype of cancer that constitutes more than 80% of all cancer cases. Squamous cell carcino…
3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning
Di Shao, Xuequan Lu, Xiao Liu
Intracranial aneurysms are common nowadays and how to detect them intelligently is of great significance in digital health. While most existing deep learning research focused on me…
Towards Uniform Point Distribution in Feature-preserving Point Cloud Filtering
Shuaijun Chen, Jinxi Wang, Wei Pan +3
As a popular representation of 3D data, point cloud may contain noise and need to be filtered before use. Existing point cloud filtering methods either cannot preserve sharp featur…