Many people would like to purchase items using locationbased services to find the suitable stores in daily life. Although there are many online map search engines giving isolated Point-of-Interest as query results acc...Many people would like to purchase items using locationbased services to find the suitable stores in daily life. Although there are many online map search engines giving isolated Point-of-Interest as query results according to the correlation between isolated stores and the query, this interaction is difficult in meeting the shopping needs of people with disabilities, who would usually prefer shopping in one single location to avoid inconvenience in transportation. In this article, we propose a framework of map search service using Region-of-Interest (ROI) as the query result, which can greatly reduce users shopping distance among multiple stores. High order Voronoi diagram is used to reduce the time complexity of Region-of-Interests generation. Experimental results show that our method is both efficient and effective.展开更多
1 Introduction In this paper,we propose a novel domain-adaptive reconstruction method that effectively leverages deep learning and synthetic data to achieve robust 3D face reconstruction from a single depth image.The ...1 Introduction In this paper,we propose a novel domain-adaptive reconstruction method that effectively leverages deep learning and synthetic data to achieve robust 3D face reconstruction from a single depth image.The method applies two domain-adaptive neural networks for predicting head pose and facial shape,respectively.Both networks undergo training with a customized domain adaptation strategy,using a combination of auto-labeled synthetic and unlabeled real data.展开更多
文摘Many people would like to purchase items using locationbased services to find the suitable stores in daily life. Although there are many online map search engines giving isolated Point-of-Interest as query results according to the correlation between isolated stores and the query, this interaction is difficult in meeting the shopping needs of people with disabilities, who would usually prefer shopping in one single location to avoid inconvenience in transportation. In this article, we propose a framework of map search service using Region-of-Interest (ROI) as the query result, which can greatly reduce users shopping distance among multiple stores. High order Voronoi diagram is used to reduce the time complexity of Region-of-Interests generation. Experimental results show that our method is both efficient and effective.
文摘1 Introduction In this paper,we propose a novel domain-adaptive reconstruction method that effectively leverages deep learning and synthetic data to achieve robust 3D face reconstruction from a single depth image.The method applies two domain-adaptive neural networks for predicting head pose and facial shape,respectively.Both networks undergo training with a customized domain adaptation strategy,using a combination of auto-labeled synthetic and unlabeled real data.
