Yair Hanani

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 225 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Yair Hanani trusts overall

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

  1. David G. Lowe
  2. Ivan Laptev
  3. Cordelia Schmid
  4. Orit Kliper-Gross
  5. Heng Wang
  6. Matthijs C. Dorst
  7. Navneet Dalal
  8. Kaiming He
  9. Geoffrey E. Hinton
  10. Svetlana Lazebnik

Who trusts Yair Hanani overall

  1. Tal Hassner
  2. Du Tran
  3. Xiaojiang Peng
  4. Lubomir D. Bourdev
  5. Rob Fergus
  6. Elias Frantar
  7. Yu Qiao
  8. Lorenzo Torresani

Papers from Yair Hanani's perspective

Ordered by how strongly the researchers Yair Hanani 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers