Dipika Singhania

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 359 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Dipika Singhania trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Andrew Zisserman
  5. Ross B. Girshick
  6. Karen Simonyan
  7. Diederik P. Kingma
  8. Jimmy Ba
  9. João Carreira
  10. Yoshua Bengio

Who trusts Dipika Singhania overall

  1. Paul Hongsuck Seo

Papers from Dipika Singhania's perspective

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

Their papers