Manoj Kumar

Computer Vision and Pattern Recognition · with Babaeizadeh · 2019

A researcher in the Science corpus: 2 papers; trusts 239 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Manoj Kumar trusts overall

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

  1. Diederik P. Kingma
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Aäron van den Oord
  7. Danilo Jimenez Rezende
  8. Kaiming He
  9. Chelsea Finn
  10. Sepp Hochreiter

Who trusts Manoj Kumar overall

  1. Shifeng Zhang
  2. Jonathan Ho
  3. Jianwen Xie
  4. C. Freeman
  5. Ruiqi Gao
  6. Dirk Weissenborn
  7. Ivan Kobyzev
  8. George Papamakarios
  9. Aleksandar Stani'c
  10. M. Alam

Papers from Manoj Kumar's perspective

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

Their papers