Niloofar Gheissari

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Niloofar Gheissari trusts overall

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

  1. David G. Lowe
  2. John F. Canny
  3. Krystian Mikolajczyk
  4. Pedro F. Felzenszwalb
  5. Luc M. Vincent
  6. Andrew Zisserman
  7. Cordelia Schmid
  8. Liang Wang
  9. Dan Huttenlocher
  10. Pierre Soille

Who trusts Niloofar Gheissari overall

  1. Xiaogang Wang
  2. Riccardo Satta
  3. Douglas T. Gray
  4. Liang Zheng
  5. Shaogang Gong
  6. Martin Hirzer
  7. Shuang Li
  8. Ejaz Ahmed
  9. Niki Martinel
  10. Igor Kviatkovsky

Papers from Niloofar Gheissari's perspective

Ordered by how strongly the researchers Niloofar Gheissari 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers