61 citations · 83 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 61 cited
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training
Xianxu Hou, Ke Sun, Linlin Shen +1
We present a new method for improving the performances of variational autoencoder (VAE). In addition to enforcing the deep feature consistent principle thus ensuring the VAE output…
cs.CV2017★ 20 cited
Skin Lesion Classification using Class Activation Map
Xi Jia, Linlin Shen
We proposed a two stage framework with only one network to analyze skin lesion images, we firstly trained a convolutional network to classify these images, and cropped the import r…
cs.CV2015★ 2 cited
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification
Xianbiao Qi, Guoying Zhao, Linlin Shen +2
In this paper, we propose a novel local feature, called Local Orientation Adaptive Descriptor (LOAD), to capture regional texture in an image. In LOAD, we proposed to define point…