Rachna Jain

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Rachna Jain trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Karen Simonyan
  4. Samir S. Yadav
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Christian Szegedy
  8. Yann LeCun
  9. Yoshua Bengio
  10. Saining Xie

Who trusts Rachna Jain overall

  1. S. Deepak
  2. P. M. Ameer

Papers from Rachna Jain's perspective

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

Their papers