Siva Prasad

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Siva Prasad trusts overall

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

  1. R. Kwok
  2. Herbert Bay
  3. Michael Calonder
  4. Ethan Rublee
  5. David G. Lowe

Papers from Siva Prasad's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. PCA-SIFT: a more distinctive representation for local image descriptors
  3. BRIEF: Binary Robust Independent Elementary Features (European Conference on Computer Vision)
  4. ORB: An efficient alternative to SIFT or SURF
  5. Speeded-Up Robust Features (SURF)
  6. The thinning of Arctic sea ice
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. ImageNet classification with deep convolutional neural networks

Their papers