Guangyi Zhou

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guangyi Zhou trusts overall

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

  1. Young-Jin Cha
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. M. Rafiei
  6. Hojjat Adeli
  7. Sinno Jialin Pan
  8. Ya-dong Xue
  9. Juan Pablo Amezquita-Sanchez
  10. Yuqing Gao

Papers from Guangyi Zhou's perspective

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

Their papers