Neeraj Kumar

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2008–2013

A researcher in the Science corpus: 7 papers; trusts 167 researchers and is trusted by 2,869 researchers here, as inferred from the citation graph.

Subfields

Whom Neeraj Kumar trusts overall

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

  1. Chih-Jen Lin
  2. Corinna Cortes
  3. Yoav Freund
  4. Gary B. Huang
  5. David G. Lowe
  6. Peter N. Belhumeur
  7. Vladimir Naumovich Vapnik
  8. Robert E. Schapire
  9. Geoffrey E. Hinton
  10. Andrew Zisserman

Who trusts Neeraj Kumar overall

  1. Kristen Grauman
  2. Ping Luo
  3. Thomas Berg
  4. Xiaogang Wang
  5. Peter N. Belhumeur
  6. Xiaoou Tang
  7. Devi Parikh
  8. Zeynep Akata
  9. Dacheng Tao
  10. Andrea Vedaldi

Papers from Neeraj Kumar's perspective

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

Their papers