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Shintami Chusnul Hidayati
Researcher at Sepuluh Nopember Institute of Technology
Publications - 37
Citations - 962
Shintami Chusnul Hidayati is an academic researcher from Sepuluh Nopember Institute of Technology. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 11, co-authored 25 publications receiving 676 citations. Previous affiliations of Shintami Chusnul Hidayati include Center for Information Technology & Academia Sinica.
Papers
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Journal ArticleDOI
Computer-aided classification of lung nodules on computed tomography images via deep learning technique.
TL;DR: This study attempted to simplify the image analysis pipeline of conventional CAD with deep learning techniques and introduced models of a deep belief network and a convolutional neural network in the context of nodule classification in computed tomography images.
Posted Content
Fashion Meets Computer Vision: A Survey
TL;DR: A comprehensive survey of more than 200 major fashion-related works covering four main aspects for enabling intelligent fashion and highlighting promising directions for future research.
Proceedings ArticleDOI
What Dress Fits Me Best?: Fashion Recommendation on the Clothing Style for Personal Body Shape
Shintami Chusnul Hidayati,Cheng-Chun Hsu,Yu-Ting Chang,Kai-Lung Hua,Jianlong Fu,Wen-Huang Cheng +5 more
TL;DR: The experimental results demonstrate the superiority of the first framework for learning the compatibility of clothing styles and body shapes from social big data, with the goal to recommend a user about what to wear better in relation to his/her essential body attributes.
Proceedings ArticleDOI
What are the Fashion Trends in New York
TL;DR: A novel algorithm is presented that automatically discovers visual style elements representing fashion trends for a certain season based on the stylistic coherent and unique characteristics of catwalk show videos.
Journal ArticleDOI
A comparative study of data fusion for RGB-D based visual recognition
Jordi Sanchez-Riera,Kai-Lung Hua,Yuan-Sheng Hsiao,Yuan-Sheng Hsiao,Tekoing Lim,Shintami Chusnul Hidayati,Shintami Chusnul Hidayati,Wen-Huang Cheng +7 more
TL;DR: A comparative study for evaluating early and late fusion schemes with several types of SVM and deep learning classifiers on two challenging RGB-D based visual recognition tasks: hand gesture recognition and generic object recognition.