Dor Verbin

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 6 papers; trusts 222 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Dor Verbin trusts overall

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

  1. Jonathan T. Barron
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Pratul P. Srinivasan
  5. Yoshua Bengio
  6. Peter Hedman
  7. Alex Krizhevsky
  8. Ricardo Martin-Brualla
  9. Ben Mildenhall
  10. Kaiming He

Who trusts Dor Verbin overall

  1. Antoine Guédon
  2. Ben Mildenhall
  3. Ben Poole
  4. Zehao Yu
  5. Matthew Tancik
  6. Daniel Watson
  7. Jonathan T. Barron
  8. Vincent Lepetit
  9. Kyle Gao
  10. Nataniel Ruiz

Papers from Dor Verbin's perspective

Ordered by how strongly the researchers Dor Verbin 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. Attention is All you Need (Neural Information Processing Systems)
  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. Gradient-based learning applied to document recognition
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers