Rong Zhou

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 98 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Rong Zhou trusts overall

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

  1. Geoffrey E. Hinton
  2. Karen Simonyan
  3. Alex Krizhevsky
  4. Christian Szegedy
  5. Kaiming He
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ilya Sutskever
  10. Diederik P. Kingma

Who trusts Rong Zhou overall

  1. Lichuan Gu
  2. Xiaohui Yuan
  3. Jianfang Shi

Papers from Rong Zhou's perspective

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

Their papers