Nima Razavi

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 2 papers; trusts 361 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

Whom Nima Razavi trusts overall

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

  1. Rob Fergus
  2. Navneet Dalal
  3. Antonio Torralba
  4. Pedro F. Felzenszwalb
  5. Andrew Zisserman
  6. Ross B. Girshick
  7. Geoffrey E. Hinton
  8. David G. Lowe
  9. Jitendra Malik
  10. Alex Krizhevsky

Who trusts Nima Razavi overall

  1. Juergen Gall
  2. Marko Ristin
  3. Luc Van Gool
  4. X. Wang
  5. Gabriele Fanelli
  6. Matthieu Guillaumin
  7. Matthias Dantone
  8. Katerina Fragkiadaki
  9. Liang Lin
  10. Danhang Tang

Papers from Nima Razavi's perspective

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

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

Their papers