Ronen Lerner

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ronen Lerner trusts overall

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

  1. Z. Kim
  2. Joel C. McCall
  3. Ara V. Nefian
  4. José Manuel Álvarez

Who trusts Ronen Lerner overall

  1. Alberto Yukinobu Hata
  2. Ekim Yurtsever
  3. Hao Zhu
  4. Davy Neven

Papers from Ronen Lerner's perspective

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

  1. Histograms of oriented gradients for human detection
  2. One-shot learning of object categories
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers