2.7k citations · 5.9k across the 14 of their papers we have counts for
14 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…
A CNN-RNN Architecture for Multi-Label Weather Recognition
Bin Zhao, Xuelong Li, Xiaoqiang Lu +1
Weather Recognition plays an important role in our daily lives and many computer vision applications. However, recognizing the weather conditions from a single image remains challe…
A General Framework for Edited Video and Raw Video Summarization
Xuelong Li, Bin Zhao, Xiaoqiang Lu
In this paper, we build a general summarization framework for both of edited video and raw video summarization. Overall, our work can be divided into three folds: 1) Four models ar…
3G structure for image caption generation
Aihong Yuan, Xuelong Li, Xiaoqiang Lu
It is a big challenge of computer vision to make machine automatically describe the content of an image with a natural language sentence. Previous works have made great progress on…
Multi-modal gated recurrent units for image description
Xuelong Li, Aihong Yuan, Xiaoqiang Lu
Using a natural language sentence to describe the content of an image is a challenging but very important task. It is challenging because a description must not only capture object…
Exploring Models and Data for Remote Sensing Image Caption Generation
Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng +1
Inspired by recent development of artificial satellite, remote sensing images have attracted extensive attention. Recently, noticeable progress has been made in scene classificatio…
Image2song: Song Retrieval via Bridging Image Content and Lyric Words
Xuelong Li, Di Hu, Xiaoqiang Lu
Image is usually taken for expressing some kinds of emotions or purposes, such as love, celebrating Christmas. There is another better way that combines the image and relevant song…
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Gong Cheng, Junwei Han, Xiaoqiang Lu
Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention. During the past years, signific…
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia, Jingwen Hu, Fan Hu +4
Aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding high-resolution remote…