5.3k citations · 12.2k across the 85 of their papers we have counts for
11 papers · 1 filter
Better Exploiting OS-CNNs for Better Event Recognition in Images
Limin Wang, Zhe Wang, Sheng Guo +1
Event recognition from still images is one of the most important problems for image understanding. However, compared with object recognition and scene recognition, event recognitio…
Text-Attentional Convolutional Neural Networks for Scene Text Detection
Tong He, Weilin Huang, Yu Qiao +1
Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature computed globall…
Local Multi-Grouped Binary Descriptor with Ring-based Pooling Configuration and Optimization
Yongqiang Gao, Weilin Huang, Yu Qiao
Local binary descriptors are attracting increasingly attention due to their great advantages in computational speed, which are able to achieve real-time performance in numerous ima…
Places205-VGGNet Models for Scene Recognition
Limin Wang, Sheng Guo, Weilin Huang +1
VGGNets have turned out to be effective for object recognition in still images. However, it is unable to yield good performance by directly adapting the VGGNet models trained on th…
Local Color Contrastive Descriptor for Image Classification
Sheng Guo, Weilin Huang, Yu Qiao
Image representation and classification are two fundamental tasks towards multimedia content retrieval and understanding. The idea that shape and texture information (e.g. edge or…
A local approximation of fundamental measure theory incorporated into three dimensional Poisson-Nernst-Planck equations to account for hard sphere repulsion among ions
Yu Qiao, Benzhuo Lu, Minxin Chen
The hard sphere repulsion among ions can be considered in the Poisson-Nernst-Planck (PNP) equations by combining the fundamental measure theory (FMT). To reduce the nonlocal comput…
Towards Good Practices for Very Deep Two-Stream ConvNets
Limin Wang, Yuanjun Xiong, Zhe Wang +1
Deep convolutional networks have achieved great success for object recognition in still images. However, for action recognition in videos, the improvement of deep convolutional net…
Boosting Optical Character Recognition: A Super-Resolution Approach
Chao Dong, Ximei Zhu, Yubin Deng +2
Text image super-resolution is a challenging yet open research problem in the computer vision community. In particular, low-resolution images hamper the performance of typical opti…
Reading Scene Text in Deep Convolutional Sequences
Pan He, Weilin Huang, Yu Qiao +2
We develop a Deep-Text Recurrent Network (DTRN) that regards scene text reading as a sequence labelling problem. We leverage recent advances of deep convolutional neural networks t…
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Limin Wang, Yu Qiao, Xiaoou Tang
Visual features are of vital importance for human action understanding in videos. This paper presents a new video representation, called trajectory-pooled deep-convolutional descri…
Object-Scene Convolutional Neural Networks for Event Recognition in Images
Limin Wang, Zhe Wang, Wenbin Du +1
Event recognition from still images is of great importance for image understanding. However, compared with event recognition in videos, there are much fewer research works on event…