1 citations · 2 across the 4 of their papers we have counts for
4 papers
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation
Qing En, Yuhong Guo
Medical image segmentation typically demands extensive dense annotations for model training, which is both time-consuming and skill-intensive. To mitigate this burden, exemplar-bas…
AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation
Qing En, Yuhong Guo
Lung-infected area segmentation is crucial for assessing the severity of lung diseases. However, existing image-text multi-modal methods typically rely on labour-intensive annotati…
Efficient Low-Rank GNN Defense Against Structural Attacks
Abdullah Alchihabi, Qing En, Yuhong Guo
Graph Neural Networks (GNNs) have been shown to possess strong representation abilities over graph data. However, GNNs are vulnerable to adversarial attacks, and even minor perturb…
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari, Abdullah Alchihabi, Qing En +1
Cross-domain few-shot classification induces a much more challenging problem than its in-domain counterpart due to the existence of domain shifts between the training and test task…