Igor Kviatkovsky

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 285 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Igor Kviatkovsky trusts overall

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

  1. David G. Lowe
  2. Ivan Laptev
  3. Wolfgang Förstner
  4. Oncel Tuzel
  5. Douglas T. Gray
  6. Navneet Dalal
  7. Andrew Zisserman
  8. Matthijs C. Dorst
  9. Geoffrey E. Hinton
  10. Huaiyu Zhu

Who trusts Igor Kviatkovsky overall

  1. Dong Yi
  2. Ying-Cong Chen
  3. Xun Yang
  4. Yang Yang
  5. Zhen Lei
  6. Xiatian Zhu
  7. S. Li
  8. Rahul Rama Varior
  9. Weishi Zheng
  10. Shengcai Liao

Papers from Igor Kviatkovsky's perspective

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

Their papers