28 citations · 74 across the 6 of their papers we have counts for
10 papers
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Fengyuan Yang, Ruiping Wang, Xilin Chen
Teaching machines to recognize a new category based on few training samples especially only one remains challenging owing to the incomprehensive understanding of the novel category…
Topic Scene Graph Generation by Attention Distillation from Caption
W. Wang, R. Wang, X. Chen
If an image tells a story, the image caption is the briefest narrator. Generally, a scene graph prefers to be an omniscient generalist, while the image caption is more willing to b…
Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation
Wenbin Wang, Ruiping Wang, Shiguang Shan +1
Scene graph aims to faithfully reveal humans' perception of image content. When humans analyze a scene, they usually prefer to describe image gist first, namely major objects and k…
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
Difei Gao, Ke Li, Ruiping Wang +2
Answering questions that require reading texts in an image is challenging for current models. One key difficulty of this task is that rare, polysemous, and ambiguous words frequent…
Deep Heterogeneous Hashing for Face Video Retrieval
Shishi Qiao, Ruiping Wang, Shiguang Shan +1
Retrieving videos of a particular person with face image as a query via hashing technique has many important applications. While face images are typically represented as vectors in…
Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval
Sijin Wang, Ruiping Wang, Ziwei Yao +2
Image-text retrieval of natural scenes has been a popular research topic. Since image and text are heterogeneous cross-modal data, one of the key challenges is how to learn compreh…