278 citations · 681 across the 18 of their papers we have counts for
18 papers
A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification
Chiranjibi Sitaula, Jagannath Aryal, Avik Bhattacharya
Classification of very high-resolution (VHR) aerial remote sensing (RS) images is a well-established research area in the remote sensing community as it provides valuable spatial i…
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification
Chiranjibi Sitaula, Sumesh KC, Jagannath Aryal
Very high-resolution (VHR) remote sensing (RS) scene classification is a challenging task due to the higher inter-class similarity and intra-class variability problems. Recently, t…
Neonatal Face and Facial Landmark Detection from Video Recordings
Ethan Grooby, Chiranjibi Sitaula, Soodeh Ahani +4
This paper explores automated face and facial landmark detection of neonates, which is an important first step in many video-based neonatal health applications, such as vital sign…
Monkeypox virus detection using pre-trained deep learning-based approaches
Chiranjibi Sitaula, Tej Bahadur Shahi
Monkeypox virus is emerging slowly with the decline of COVID-19 virus infections around the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-1…
Recent Advances in Scene Image Representation and Classification
Chiranjibi Sitaula, Tej Bahadur Shahi, Faezeh Marzbanrad +1
With the rise of deep learning algorithms nowadays, scene image representation methods have achieved a significant performance boost in classification. However, the performance is…
Multi-channel CNN to classify nepali covid-19 related tweets using hybrid features
Chiranjibi Sitaula, Tej Bahadur Shahi
Because of the current COVID-19 pandemic with its increasing fears among people, it has triggered several health complications such as depression and anxiety. Such complications ha…