262 citations · 378 across the 5 of their papers we have counts for
6 papers
Randomized Kernel Multi-view Discriminant Analysis
Xiaoyun Li, Jie Gui, Ping Li
In many artificial intelligence and computer vision systems, the same object can be observed at distinct viewpoints or by diverse sensors, which raises the challenges for recognizi…
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui, Zhenan Sun, Yonggang Wen +2
Generative adversarial networks (GANs) are a hot research topic recently. GANs have been widely studied since 2014, and a large number of algorithms have been proposed. However, th…
Multi-grained Attention Networks for Single Image Super-Resolution
Huapeng Wu, Zhengxia Zou, Jie Gui +5
Deep Convolutional Neural Networks (CNN) have drawn great attention in image super-resolution (SR). Recently, visual attention mechanism, which exploits both of the feature importa…
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification
Yong Luo, Yonggang Wen, Dacheng Tao +2
The features used in many image analysis-based applications are frequently of very high dimension. Feature extraction offers several advantages in high-dimensional cases, and many…
Fast Supervised Discrete Hashing
Jie Gui, Tongliang Liu, Zhenan Sun +2
Learning-based hashing algorithms are ``hot topics" because they can greatly increase the scale at which existing methods operate. In this paper, we propose a new learning-based ha…
Supervised Discrete Hashing with Relaxation
Jie Gui, Tongliang Liu, Zhenan Sun +2
Data-dependent hashing has recently attracted attention due to being able to support efficient retrieval and storage of high-dimensional data such as documents, images, and videos.…