Yotam Nitzan

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 6 papers; trusts 1,080 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Yotam Nitzan trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Tero Karras
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Ross B. Girshick
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Yotam Nitzan overall

  1. Yuval Alaluf
  2. Zongze Wu
  3. Or Patashnik
  4. Tianyi Wei
  5. Rinon Gal
  6. Daniel Cohen-Or
  7. Weihao Xia
  8. Eli Shechtman
  9. Dani Lischinski
  10. Omer Tov

Papers from Yotam Nitzan's perspective

Ordered by how strongly the researchers Yotam Nitzan 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. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers