Sagie Benaim

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 732 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Sagie Benaim trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Sergey Ioffe
  5. Christian Szegedy
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ming-Yu Liu
  9. Alec Radford
  10. Karen Simonyan

Who trusts Sagie Benaim overall

  1. Chengwei Qin
  2. Yongjun Hong
  3. Garrett Wilson
  4. Shafiq R. Joty
  5. Sangwoo Mo
  6. He Huang
  7. Yingxue Pang
  8. Peixiang Zhong
  9. Taesung Park
  10. Uiwon Hwang

Papers from Sagie Benaim's perspective

Ordered by how strongly the researchers Sagie Benaim 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. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers