7 citations · 10 across the 5 of their papers we have counts for
5 papers
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
Shiqing Fan, Ye Luo
Low-quality face image restoration is a popular research direction in today's computer vision field. It can be used as a pre-work for tasks such as face detection and face recognit…
Min-Max-Plus Neural Networks
Ye Luo, Shiqing Fan
We present a new model of neural networks called Min-Max-Plus Neural Networks (MMP-NNs) based on operations in tropical arithmetic. In general, an MMP-NN is composed of three types…
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Jiahao Xie, Sheng Zhang, Jianwei Lu +1
Coarse-to-fine models and cascade segmentation architectures are widely adopted to solve the problem of large scale variations in medical image segmentation. However, those methods…
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation
Guokai Zhang, Xiaoang Shen, Ye Luo +5
Automatic segmentation of the prostate cancer from the multi-modal magnetic resonance images is of critical importance for the initial staging and prognosis of patients. However, h…
Embracing a new era of highly efficient and productive quantum Monte Carlo simulations
Amrita Mathuriya, Ye Luo, Raymond C. Clay +3
QMCPACK has enabled cutting-edge materials research on supercomputers for over a decade. It scales nearly ideally but has low single-node efficiency due to the physics-based abstra…