7 citations · 7 across the 1 of their papers we have counts for
3 papers
cs.CV2020
Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy
Mihir Rao, Michelle Zhu, Tianyang Wang
Diabetic retinopathy (DR) is a retinal microvascular condition that emerges in diabetic patients. DR will continue to be a leading cause of blindness worldwide, with a predicted 19…
cs.CV2018
Instance-based Deep Transfer Learning
Tianyang Wang, Jun Huan, Michelle Zhu
Deep transfer learning recently has acquired significant research interest. It makes use of pre-trained models that are learned from a source domain, and utilizes these models for…
cs.CV2017★ 7 cited
An ELU Network with Total Variation for Image Denoising
Tianyang Wang, Zhengrui Qin, Michelle Zhu
In this paper, we propose a novel convolutional neural network (CNN) for image denoising, which uses exponential linear unit (ELU) as the activation function. We investigate the su…