120 citations · 347 across the 16 of their papers we have counts for
7 papers · 1 filter
SHINE: Deep Learning-Based Accessible Parking Management System
Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal +3
The ongoing expansion of urban areas facilitated by advancements in science and technology has resulted in a considerable increase in the number of privately owned vehicles worldwi…
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…
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…