Yang Zhou

Computer Vision and Pattern Recognition · with Kalogerakis · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 52 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Zhou trusts overall

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

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

Who trusts Yang Zhou overall

  1. Xinpeng Wang
  2. Zhimeng Zhang
  3. Xiaodong Cun
  4. Chandan Yeshwanth
  5. Lincheng Li

Papers from Yang Zhou's perspective

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

Their papers