Na Rong

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Na Rong trusts overall

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

  1. Karen Simonyan
  2. Kunihiko Fukushima
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Mateusz Malinowski
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Kaiming He
  10. Diederik P. Kingma

Who trusts Na Rong overall

  1. Mingyang Zhou

Papers from Na Rong's perspective

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

Their papers