Andrei Pokrovsky

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 11 papers; trusts 237 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Andrei Pokrovsky trusts overall

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

  1. Alexander Khain
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Mark Pinsky
  5. Daniel Rosenfeld
  6. Alex Krizhevsky
  7. Ross B. Girshick
  8. Yoshua Bengio
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Andrei Pokrovsky overall

  1. Alexander Khain
  2. Daniel Rosenfeld
  3. Hugh Morrison
  4. William Cotton
  5. Barry H. Lynn
  6. Alexander V. Ryzhkov
  7. Jiwen Fan
  8. Seoung-Soo Lee
  9. A. Seifert
  10. Thomas Verelst

Papers from Andrei Pokrovsky's perspective

Ordered by how strongly the researchers Andrei Pokrovsky 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers