Arjun Karpur

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 266 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Arjun Karpur trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Alejandro Newell
  4. Karen Simonyan
  5. Jitendra Malik
  6. Geoffrey E. Hinton
  7. Jia Deng
  8. Alex Krizhevsky
  9. Shubham Tulsiani
  10. Ross B. Girshick

Who trusts Arjun Karpur overall

  1. Xingyi Zhou

Papers from Arjun Karpur's perspective

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

Their papers