262 citations · 390 across the 12 of their papers we have counts for
5 papers · 1 filter
Deep Human Answer Understanding for Natural Reverse QA
Rujing Yao, Linlin Hou, Lei Yang +3
This study focuses on a reverse question answering (QA) procedure, in which machines proactively raise questions and humans supply the answers. This procedure exists in many real h…
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.…