61 citations · 113 across the 14 of their papers we have counts for
14 papers
Delving into the Scale Variance Problem in Object Detection
Junliang Chen, Xiaodong Zhao, Linlin Shen
Object detection has made substantial progress in the last decade, due to the capability of convolution in extracting local context of objects. However, the scales of objects are d…
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…
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification
Bolei Xu, Jingxin Liu, Xianxu Hou +6
One issue with computer based histopathology image analysis is that the size of the raw image is usually very large. Taking the raw image as input to the deep learning model would…
Texture Deformation Based Generative Adversarial Networks for Face Editing
WenTing Chen, Xinpeng Xie, Xi Jia +1
Despite the significant success in image-to-image translation and latent representation based facial attribute editing and expression synthesis, the existing approaches still have…
A Self-Organizing Tensor Architecture for Multi-View Clustering
Lifang He, Chun-ta Lu, Yong Chen +4
In many real-world applications, data are often unlabeled and comprised of different representations/views which often provide information complementary to each other. Although sev…
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification
Siyang Song, Shuimei Zhang, Björn Schuller +2
The performance of speaker-related systems usually degrades heavily in practical applications largely due to the presence of background noise. To improve the robustness of such sys…