Itay Maoz

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 66 researchers here, as inferred from the citation graph.

Subfields

Whom Itay Maoz trusts overall

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

  1. Lior Wolf
  2. Paul A. Viola
  3. Mark Everingham
  4. Andrew Zisserman
  5. Josef Sivic

Who trusts Itay Maoz overall

  1. Jiankang Deng
  2. Zhiwu Huang
  3. Yandong Wen
  4. Yi Sun
  5. Yandong Guo
  6. Nikolaos Passalis
  7. Tal Hassner
  8. Sohil Shah
  9. Harrison Edwards
  10. Wei David Liu

Papers from Itay Maoz's perspective

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

Their papers