Gilad Lerman

Computer Vision and Pattern Recognition · 2008–2012

A researcher in the Science corpus: 5 papers; trusts 49 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Gilad Lerman trusts overall

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

  1. Paul Tseng
  2. Paul S. Bradley
  3. Immo Hahlomaa
  4. Jeffrey Ho
  5. René Vidal
  6. J. Tyler Whitehouse
  7. Michel Ledoux
  8. Guangliang Chen
  9. Christophe Croux
  10. K. Kanatani

Who trusts Gilad Lerman overall

  1. René Vidal
  2. J. Tyler Whitehouse
  3. M. Soltanolkotabi
  4. Ehsan Elhamifar
  5. Guangliang Chen
  6. Pawel Strzelecki
  7. Manolis C. Tsakiris
  8. Xavier Tolsa
  9. Stanislav Pidhorskyi
  10. Mohammad Sabokrou

Papers from Gilad Lerman's perspective

Ordered by how strongly the researchers Gilad Lerman 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. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers