Yaroslav Bulatov

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 163 researchers here, as inferred from the citation graph.

Subfields

Whom Yaroslav Bulatov trusts overall

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

  1. Aapo Hyvärinen
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Yann LeCun
  5. Matthew D. Zeiler
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Rob Fergus
  9. Kaiming He
  10. Pierre Sermanet

Who trusts Yaroslav Bulatov overall

  1. Max Jaderberg
  2. Andrew Zisserman
  3. Karen Simonyan
  4. Andrea Vedaldi
  5. Karol J. Piczak
  6. J. Urgen Schmidhuber
  7. Yair Movshovitz-Attias
  8. Fatemehsadat Mireshghallah
  9. Chen-Yu Lee
  10. Andrey Malinin

Papers from Yaroslav Bulatov's perspective

Ordered by how strongly the researchers Yaroslav Bulatov trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers