78 citations · 245 across the 24 of their papers we have counts for
5 papers · 1 filter
Scene Graph Reasoning with Prior Visual Relationship for Visual Question Answering
Zhuoqian Yang, Zengchang Qin, Jing Yu +1
One of the key issues of Visual Question Answering (VQA) is to reason with semantic clues in the visual content under the guidance of the question, how to model relational semantic…
A sequential guiding network with attention for image captioning
Daouda Sow, Zengchang Qin, Mouhamed Niasse +1
The recent advances of deep learning in both computer vision (CV) and natural language processing (NLP) provide us a new way of understanding semantics, by which we can deal with m…
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks
Shuangting Liu, Jiaqi Zhang, Yuxin Chen +3
Semantic segmentation is one of the basic topics in computer vision, it aims to assign semantic labels to every pixel of an image. Unbalanced semantic label distribution could have…
Semantic Modeling of Textual Relationships in Cross-Modal Retrieval
Jing Yu, Chenghao Yang, Zengchang Qin +3
Feature modeling of different modalities is a basic problem in current research of cross-modal information retrieval. Existing models typically project texts and images into one em…
Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval
Jing Yu, Yuhang Lu, Zengchang Qin +4
Cross-modal information retrieval aims to find heterogeneous data of various modalities from a given query of one modality. The main challenge is to map different modalities into a…