Ajay Kumar

Signal Processing · IEEE Transactions on Image Processing · 2000–2014

A researcher in the Science corpus: 11 papers; trusts 44 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Ajay Kumar trusts overall

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

  1. David Dapeng Zhang
  2. John G. Daugman
  3. Anil K. Jain
  4. Adams Wai-Kin Kong
  5. David J. Field
  6. Aapo Hyvärinen
  7. Jerome H. Friedman
  8. Yuhai Wu
  9. Dustin Boswell
  10. Robert E. Kass

Who trusts Ajay Kumar overall

  1. J. Unar
  2. Frauke Günther
  3. Tamás Czimmermann
  4. Woo Chaw Seng
  5. David Dapeng Zhang
  6. Lin Zhang
  7. Slobodan Ribaric
  8. Yingbo Zhou
  9. Adams Wai-Kin Kong
  10. Xianghua Xie

Papers from Ajay Kumar's perspective

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

Their papers