194 citations · 347 across the 4 of their papers we have counts for
4 papers
Whole Brain Segmentation with Full Volume Neural Network
Yeshu Li, Jonathan Cui, Yilun Sheng +4
Whole brain segmentation is an important neuroimaging task that segments the whole brain volume into anatomically labeled regions-of-interest. Convolutional neural networks have de…
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao, Jonathan Cui, Yilun Sheng +4
Numerous task-specific variants of conditional generative adversarial networks have been developed for image completion. Yet, a serious limitation remains that all existing algorit…
Microscopic fine-grained instance classification through deep attention
Mengran Fan, Tapabrata Chakrabort, Eric I-Chao Chang +2
Fine-grained classification of microscopic image data with limited samples is an open problem in computer vision and biomedical imaging. Deep learning based vision systems mostly d…
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
Shengyu Zhao, Yilun Sheng, Yue Dong +2
Feature warping is a core technique in optical flow estimation; however, the ambiguity caused by occluded areas during warping is a major problem that remains unsolved. In this pap…