Niv Giladi

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 129 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Niv Giladi trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Karen Simonyan
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Jia Deng

Who trusts Niv Giladi overall

  1. Hugo Touvron
  2. Chun-Fu Chen

Papers from Niv Giladi's perspective

Ordered by how strongly the researchers Niv Giladi 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. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers