Iuliia Kotseruba

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 300 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Iuliia Kotseruba trusts overall

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

  1. John Edwin Laird
  2. John K. Tsotsos
  3. Kaiming He
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Alexander Lavin
  8. Ilya Sutskever
  9. Piotr Doll'ar
  10. Jia Deng

Who trusts Iuliia Kotseruba overall

  1. Amir Rasouli
  2. John K. Tsotsos
  3. Tobias Fischer
  4. Edward Schmerling

Papers from Iuliia Kotseruba's perspective

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

Their papers