Nishant Rai

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 343 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nishant Rai trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Andrew Zisserman
  5. Cordelia Schmid
  6. Kaiming He
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Ross B. Girshick
  10. Heng Wang

Who trusts Nishant Rai overall

  1. Xizhou Zhu

Papers from Nishant Rai's perspective

Ordered by how strongly the researchers Nishant Rai 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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