2.7k citations · 5.9k across the 14 of their papers we have counts for
6 papers · 1 filter
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…