9 citations · 12 across the 8 of their papers we have counts for
8 papers
Context Propagation from Proposals for Semantic Video Object Segmentation
Tinghuai Wang
In this paper, we propose a novel approach to learning semantic contextual relationships in videos for semantic object segmentation. Our algorithm derives the semantic contexts fro…
Graph-Boosted Attentive Network for Semantic Body Parsing
Tinghuai Wang, Huiling Wang
Human body parsing remains a challenging problem in natural scenes due to multi-instance and inter-part semantic confusions as well as occlusions. This paper proposes a novel appro…
Non-parametric Contextual Relationship Learning for Semantic Video Object Segmentation
Tinghuai Wang, Huiling Wang
We propose a novel approach for modeling semantic contextual relationships in videos. This graph-based model enables the learning and propagation of higher-level spatial-temporal c…
Submodular video object proposal selection for semantic object segmentation
Tinghuai Wang
Learning a data-driven spatio-temporal semantic representation of the objects is the key to coherent and consistent labelling in video. This paper proposes to achieve semantic vide…
Deep learning radiomics for assessment of gastroesophageal varices in people with compensated advanced chronic liver disease
Lan Wang, Ruiling He, Lili Zhao +44
Objective: Bleeding from gastroesophageal varices (GEV) is a medical emergency associated with high mortality. We aim to construct an artificial intelligence-based model of two-dim…
Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan +1
Convolutional neural networks (CNN) have made significant advances in hyperspectral image (HSI) classification. However, standard convolutional kernel neglects the intrinsic connec…