Anastasiia V. Mishchuk

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 232 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Anastasiia V. Mishchuk trusts overall

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

  1. Krystian Mikolajczyk
  2. David G. Lowe
  3. Geoffrey E. Hinton
  4. Cordelia Schmid
  5. Herv'e J'egou
  6. Ondřej Chum
  7. Andrew Zisserman
  8. Alex Krizhevsky
  9. James Philbin
  10. Jiri Matas

Who trusts Anastasiia V. Mishchuk overall

  1. Eduard Trulls
  2. Zixin Luo
  3. Philipp Lindenberger
  4. M. Tyszkiewicz
  5. Zachary Teed
  6. Osman Semih Kayhan
  7. Wei Jiang
  8. Jérôme Revaud
  9. Xuyang Bai
  10. Jiayi Ma

Papers from Anastasiia V. Mishchuk's perspective

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

Their papers