Eshed Ohn-Bar

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 129 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Eshed Ohn-Bar trusts overall

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

  1. Chih-Jen Lin
  2. Ronald Poppe
  3. Navneet Dalal
  4. Alexander Kläser
  5. Omar Oreifej
  6. Cordelia Schmid
  7. Ivan Laptev
  8. Lu Xia
  9. Piotr Doll'ar
  10. Christian Thurau

Who trusts Eshed Ohn-Bar overall

  1. Amir Shahroudy
  2. Jun Liu
  3. Pichao Wang
  4. Pavlo Molchanov
  5. Hossein Rahmani
  6. Liliana Lo Presti
  7. Gurkirt Singh
  8. Raviteja Vemulapalli
  9. Zehua Sun
  10. Chuankun Li

Papers from Eshed Ohn-Bar's perspective

Ordered by how strongly the researchers Eshed Ohn-Bar 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. ImageNet: A large-scale hierarchical image database
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  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. Histograms of oriented gradients for human detection
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers