141 citations · 226 across the 15 of their papers we have counts for
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cs.CV2021★ 16 cited
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation
Ange Lou, Shuyue Guan, Murray Loew
Currently, developments of deep learning techniques are providing instrumental to identify, classify, and quantify patterns in medical images. Segmentation is one of the important…
cs.CV2021★ 1 cited
Understanding the Ability of Deep Neural Networks to Count Connected Components in Images
Shuyue Guan, Murray Loew
Humans can count very fast by subitizing, but slow substantially as the number of objects increases. Previous studies have shown a trained deep neural network (DNN) detector can co…
cs.CV2020★ 1 cited
A Novel Measure to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images
Shuyue Guan, Murray Loew
The Generative Adversarial Network (GAN) is a state-of-the-art technique in the field of deep learning. A number of recent papers address the theory and applications of GANs in var…