activity
20182020
most citedAdversarial Example in Remote Sensing Image Recognition

31 citations · 75 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV202014 cited

Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification

Jie Chen, Haozhe Huang, Jian Peng +5

Remote sensing image scene classification is a fundamental but challenging task in understanding remote sensing images. Recently, deep learning-based methods, especially convolutio…

cs.CV20205 cited

FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides

Xiebo Geng, Sibo Liua, Wei Han +7

Multi-focus image fusion technologies compress different focus depth images into an image in which most objects are in focus. However, although existing image fusion techniques, in…

cs.LG2019

Understanding the Importance of Single Directions via Representative Substitution

Li Chen, Hailun Ding, Qi Li +3

Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior. The interpretation of individual units, which are neurons in MLPs or…

math.DG2019

A class of fully nonlinear equations arising in conformal geometry

Li Chen, Xi Guo, Yan He

In this paper, we consider a class of fully nonlinear equations on closed smooth Riemannian manifolds, which can be viewed as an extension of Yamabe equation. Moreover, we pr…

cs.CV201931 cited

Adversarial Example in Remote Sensing Image Recognition

Li Chen, Guowei Zhu, Qi Li +1

With the wide application of remote sensing technology in various fields, the accuracy and security requirements for remote sensing images (RSIs) recognition are also increasing. I…

cs.LG201825 cited

Deep Transfer Learning for Static Malware Classification

Li Chen

We propose to apply deep transfer learning from computer vision to static malware classification. In the transfer learning scheme, we borrow knowledge from natural images or object…