Richa Singh

Computer Vision and Pattern Recognition · with Vatsa · 2008–2019

A researcher in the Science corpus: 5 papers; trusts 54 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Richa Singh trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. John G. Daugman
  3. Vladimir Naumovich Vapni
  4. Li Ma
  5. Corinna Cortes
  6. James E. Fowler
  7. Anil K. Jain
  8. Tien-Ping Tan
  9. Arun A. Ross
  10. David J. Field

Who trusts Richa Singh overall

  1. Ramachandra Raghavendra

Papers from Richa Singh's perspective

Ordered by how strongly the researchers Richa Singh 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. Going deeper with convolutions
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Histograms of oriented gradients for human detection
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers