Eitan Sharon

Computer Vision and Pattern Recognition · 2000–2008

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 519 researchers here, as inferred from the citation graph.

Subfields

Whom Eitan Sharon trusts overall

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

  1. Jianbo Shi
  2. Jitendra Malik
  3. M. Bober
  4. Patrick Grother
  5. Serge J. Belongie
  6. Yann LeCun
  7. Pedro F. Felzenszwalb
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Eitan Sharon overall

  1. Zhuowen Tu
  2. João Carreira
  3. John M. Winn
  4. Jamie Shotton
  5. Song Wang
  6. Achi Brandt
  7. Xiang Bai
  8. Dan Kushnir
  9. Bastian Leibe
  10. Timothée Cour

Papers from Eitan Sharon's perspective

Ordered by how strongly the researchers Eitan Sharon 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers