Maneet Singh

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maneet Singh trusts overall

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

  1. Andrew Zisserman
  2. Geoffrey E. Hinton
  3. Eran Eidinger
  4. Bor-Chun Chen
  5. Mohsan S. Alvi
  6. Kaiming He
  7. Bolei Zhou
  8. Alex Krizhevsky
  9. Ira Kemelmacher-Shlizerman
  10. Xiang Wu

Papers from Maneet Singh's perspective

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

Their papers