6 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…
Holistically-Nested Structure-Aware Graph Neural Network for Road Extraction
Tinghuai Wang, Guangming Wang, Kuan Eeik Tan
Convolutional neural networks (CNN) have made significant advances in detecting roads from satellite images. However, existing CNN approaches are generally repurposed semantic segm…
Probabilistic Subgoal Representations for Hierarchical Reinforcement learning
Vivienne Huiling Wang, Tinghuai Wang, Wenyan Yang +2
In goal-conditioned hierarchical reinforcement learning (HRL), a high-level policy specifies a subgoal for the low-level policy to reach. Effective HRL hinges on a suitable subgoal…