Bogdan Savchynskyy

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 431 researchers and is trusted by 112 researchers here, as inferred from the citation graph.

Subfields

Whom Bogdan Savchynskyy trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Karen Simonyan
  6. Yann LeCun
  7. Yoshua Bengio
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Diederik P. Kingma

Who trusts Bogdan Savchynskyy overall

  1. Alexander Kirillov
  2. Arash Vahdat

Papers from Bogdan Savchynskyy's perspective

Ordered by how strongly the researchers Bogdan Savchynskyy 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  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