Rita Singh

Computer Vision and Pattern Recognition · 2004–2023

A researcher in the Science corpus: 6 papers; trusts 211 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Rita Singh trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Sergey Ioffe
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Hirokazu Kameoka
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Rita Singh overall

  1. Kaizhi Qian
  2. Ju-Chieh Chou
  3. Yang Zhang
  4. Shekhar Nayak

Papers from Rita Singh's perspective

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

Their papers