26 citations · 58 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity
Jin Li, Ye Luo, Zigan Wang +1
In the standard data analysis framework, data is collected (once and for all), and then data analysis is carried out. However, with the advancement of digital technology, decision-…
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks
Shiqing Fan, Liu Liying, Ye Luo
Convolutional neural networks (CNNs) have been used in many machine learning fields. In practical applications, the computational cost of convolutional neural networks is often hig…
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…