53 citations · 196 across the 10 of their papers we have counts for
11 papers
Pairwise Comparison Network for Remote Sensing Scene Classification
Zhang Yue, Zheng Xiangtao, Lu Xiaoqiang
Remote sensing scene classification aims to assign a specific semantic label to a remote sensing image. Recently, convolutional neural networks have greatly improved the performanc…
Reconstructive Sequence-Graph Network for Video Summarization
Bin Zhao, Haopeng Li, Xiaoqiang Lu +1
Exploiting the inner-shot and inter-shot dependencies is essential for key-shot based video summarization. Current approaches mainly devote to modeling the video as a frame sequenc…
Audio Description from Image by Modal Translation Network
Hailong Ning, Xiangtao Zheng, Yuan Yuan +1
Audio is the main form for the visually impaired to obtain information. In reality, all kinds of visual data always exist, but audio data does not exist in many cases. In order to…
Bio-Inspired Representation Learning for Visual Attention Prediction
Yuan Yuan, Hailong Ning, Xiaoqiang Lu
Visual Attention Prediction (VAP) is a significant and imperative issue in the field of computer vision. Most of existing VAP methods are based on deep learning. However, they do n…
Vision-to-Language Tasks Based on Attributes and Attention Mechanism
Xuelong Li, Aihong Yuan, Xiaoqiang Lu
Vision-to-language tasks aim to integrate computer vision and natural language processing together, which has attracted the attention of many researchers. For typical approaches, t…
Hierarchical Recurrent Neural Network for Video Summarization
Bin Zhao, Xuelong Li, Xiaoqiang Lu
Exploiting the temporal dependency among video frames or subshots is very important for the task of video summarization. Practically, RNN is good at temporal dependency modeling, a…