Sanath Narayan

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 4 papers; trusts 536 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Sanath Narayan trusts overall

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

  1. Ivan Laptev
  2. Kaiming He
  3. Diederik P. Kingma
  4. Ross B. Girshick
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Alex Krizhevsky
  8. Cordelia Schmid
  9. Karen Simonyan
  10. Navneet Dalal

Who trusts Sanath Narayan overall

  1. Fei Han
  2. Yu-Gang Jiang
  3. Kun Yan
  4. Christopher M. Reardon
  5. Qi Dai
  6. Karel Lebeda
  7. Lynne E. Parker

Papers from Sanath Narayan's perspective

Ordered by how strongly the researchers Sanath Narayan 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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