Urska Kanjir

Media Technology · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Urska Kanjir trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Zhicheng Li
  2. Le Yu
  3. Geoffrey J. Hay
  4. Zikun Liu
  5. Jiexiong Tang
  6. Laurent Itti
  7. Peng Gong
  8. Chenwei Deng
  9. Hongzhen Wang
  10. Guillermo Castilla

Who trusts Urska Kanjir overall

  1. Yuanyuan Wang
  2. Chao Wang

Papers from Urska Kanjir's perspective

Ordered by how strongly the researchers Urska Kanjir trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning Machine (IEEE Transactions on Geoscience and Remote Sensing)
  2. Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds (IEEE Geoscience and Remote Sensing Letters)
  3. A comparison of three image-object methods for the multiscale analysis of landscape structure
  4. An automated object-based approach for the multiscale image segmentation of forest scenes
  5. Saliency and Gist Features for Target Detection in Satellite Images
  6. Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives
  7. ImageNet classification with deep convolutional neural networks
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Histograms of oriented gradients for human detection
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers