Yulia Gryaditskaya

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yulia Gryaditskaya trusts overall

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

  1. Charles Ruizhongtai Qi
  2. Karen Simonyan
  3. Hao Su
  4. Andrew Zisserman
  5. Leonidas J. Guibas
  6. Haoqiang Fan
  7. Fang Wang
  8. Geoffrey E. Hinton
  9. Hang Su
  10. Alex Krizhevsky

Papers from Yulia Gryaditskaya's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers