64 citations · 183 across the 8 of their papers we have counts for
8 papers
Chaotic-to-Fine Clustering for Unlabeled Plant Disease Images
Uno Fang, Jianxin Li, Xuequan Lu +3
Current annotation for plant disease images depends on manual sorting and handcrafted features by agricultural experts, which is time-consuming and labour-intensive. In this paper,…
Scene Image Representation by Foreground, Background and Hybrid Features
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal +1
Previous methods for representing scene images based on deep learning primarily consider either the foreground or background information as the discriminating clues for the classif…
Content and Context Features for Scene Image Representation
Chiranjibi Sitaula, Sunil Aryal, Yong Xiang +2
Existing research in scene image classification has focused on either content features (e.g., visual information) or context features (e.g., annotations). As they capture different…
HDF: Hybrid Deep Features for Scene Image Representation
Chiranjibi Sitaula, Yong Xiang, Anish Basnet +2
Nowadays it is prevalent to take features extracted from pre-trained deep learning models as image representations which have achieved promising classification performance. Existin…
Image-Based Feature Representation for Insider Threat Classification
Gayathri R G, Atul Sajjanhar, Yong Xiang
Insiders are the trusted entities in the organization, but poses threat to the with access to sensitive information network and resources. The insider threat detection is a well st…
Unsupervised Deep Features for Privacy Image Classification
Chiranjibi Sitaula, Yong Xiang, Sunil Aryal +1
Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information. Deep features have been demonstrated to be a powerful represent…
Tag-based Semantic Features for Scene Image Classification
Chiranjibi Sitaula, Yong Xiang, Anish Basnet +2
The existing image feature extraction methods are primarily based on the content and structure information of images, and rarely consider the contextual semantic information. Regar…
Indoor image representation by high-level semantic features
Chiranjibi Sitaula, Yong Xiang, Yushu Zhang +2
Indoor image features extraction is a fundamental problem in multiple fields such as image processing, pattern recognition, robotics and so on. Nevertheless, most of the existing f…