195 citations · 429 across the 6 of their papers we have counts for
6 papers
Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks for Multimodal Marketing Intention Detection
Lu Zhang, Jian Zhang, Zhibin Li +1
Inspired by the fact that spreading and collecting information through the Internet becomes the norm, more and more people choose to post for-profit contents (images and texts) in…
SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification
Yan Huang, Qiang Wu, JingSong Xu +1
Cross-domain person re-identification (re-ID) is challenging due to the bias between training and testing domains. We observe that if backgrounds in the training and testing datase…
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
Huaxi Huang, Junjie Zhang, Jian Zhang +2
Deep neural networks have demonstrated advanced abilities on various visual classification tasks, which heavily rely on the large-scale training samples with annotated ground-truth…
Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning
Huaxi Huang, Junjie Zhang, Jian Zhang +2
The recognition ability of human beings is developed in a progressive way. Usually, children learn to discriminate various objects from coarse to fine-grained with limited supervis…
Multi-pseudo Regularized Label for Generated Data in Person Re-Identification
Yan Huang, Jinsong Xu, Qiang Wu +3
Sufficient training data normally is required to train deeply learned models. However, due to the expensive manual process for labelling large number of images, the amount of avail…
Exploiting Web Images for Dataset Construction: A Domain Robust Approach
Yazhou Yao, Jian Zhang, Fumin Shen +3
Labelled image datasets have played a critical role in high-level image understanding. However, the process of manual labelling is both time-consuming and labor intensive. To reduc…