Natasha Gelfand

Computer Vision and Pattern Recognition · 2003–2010

A researcher in the Science corpus: 6 papers; trusts 52 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Natasha Gelfand trusts overall

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

  1. Szymon Rusinkiewicz
  2. Marc Levoy
  3. David G. Lowe
  4. Ondřej Chum
  5. Mark Pauly
  6. Brian Curless
  7. Cordelia Schmid
  8. Herv'e J'egou
  9. Krystian Mikolajczyk
  10. Andrew Zisserman

Who trusts Natasha Gelfand overall

  1. Radu Bogdan Rusu
  2. Ajmal Saeed Mian
  3. Facundo M'emoli
  4. Jean-Emmanuel Deschaud
  5. Karthik Raveendran
  6. Michael M. Bronstein
  7. Qian-Yi Zhou
  8. Martin Magnusson
  9. I. Sipiran
  10. Nico Blodow

Papers from Natasha Gelfand's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Distinctive Image Features from Scale-Invariant Keypoints
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers