368 citations · 388 across the 5 of their papers we have counts for
5 papers
Learning Category Correlations for Multi-label Image Recognition with Graph Networks
Qing Li, Xiaojiang Peng, Yu Qiao +1
Multi-label image recognition is a task that predicts a set of object labels in an image. As the objects co-occur in the physical world, it is desirable to model label dependencies…
Multiple VLAD encoding of CNNs for image classification
Qing Li, Qiang Peng, Chuan Yan
Despite the effectiveness of convolutional neural networks (CNNs) especially in image classification tasks, the effect of convolution features on learned representations is still l…
Diversified Visual Attention Networks for Fine-Grained Object Classification
Bo Zhao, Xiao Wu, Jiashi Feng +2
Fine-grained object classification is a challenging task due to the subtle inter-class difference and large intra-class variation. Recently, visual attention models have been appli…
CSIFT Based Locality-constrained Linear Coding for Image Classification
Chen Junzhou, Li Qing, Peng Qiang +1
In the past decade, SIFT descriptor has been witnessed as one of the most robust local invariant feature descriptors and widely used in various vision tasks. Most traditional image…
A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification
Xiaojiang Peng, Qiang Peng, Yu Qiao +2
Many efforts have been devoted to develop alternative methods to traditional vector quantization in image domain such as sparse coding and soft-assignment. These approaches can be…