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C. Sitaula

18 papers hereh-index 201.7k citations43 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author13
  • middle author5

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • eess.AS3
  • eess.IV3
  • cs.CL1
  • cs.SD1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedMonkeypox virus detection using pre-trained deep learning-based approaches

278 citations · 681 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CV2020★ 33 cited

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…

cs.CV2020★ 29 cited

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…

cs.CV2020★ 17 cited

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…

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