Aleksandr Ometov

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aleksandr Ometov trusts overall

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

  1. Federico Castanedo
  2. Anil K. Jain
  3. J. Urgen Schmidhuber
  4. Nitesh V. Chawla
  5. Mohammed J. Zaki
  6. Chaomei Chen
  7. J. Manyika
  8. Florian Schroff
  9. Ilya Sutskever
  10. Timo Ahonen

Papers from Aleksandr Ometov's perspective

Ordered by how strongly the researchers Aleksandr Ometov 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers