Monika Sachdeva

Computer Vision and Pattern Recognition · 2021

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 Monika Sachdeva trusts overall

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

  1. David G. Lowe
  2. Tianqi Chen
  3. Samir S. Yadav

Papers from Monika Sachdeva's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. A Combined Corner and Edge Detector
  3. Distinctive Image Features from Scale-Invariant Keypoints
  4. ORB: An efficient alternative to SIFT or SURF
  5. Good features to track
  6. XGBoost: A Scalable Tree Boosting System
  7. SURF: Speeded Up Robust Features (European Conference on Computer Vision)
  8. Deep convolutional neural network based medical image classification for disease diagnosis (Journal of Big Data)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers