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Chapter and Conference Paper
Vision-Based Registration Using 3-D Fiducial for Augmented Reality
One of the key issues in the realization of Augmented Reality is the registration problem. Synthetically, vision-based registration can offer superior solutions. In several existing registration methods, 2-D o...
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Chapter and Conference Paper
Smooth Multi-instance Learning for Object Detection
The problem of object localization is one of the key problems in computer vision applications. Recently, multiple-instance learning (MIL) is a kind of machine learning framework which receiving a set of insta...
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Chapter and Conference Paper
A Relational Instance-Based Clustering Method with Contrastive Learning for Open Relation Extraction
Unsupervised text representations significantly narrow the gap with supervised pretraining, and relation clustering has gradually become an important method of open relational extraction (OpenRE). However, dif...