Guojun Yin

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 562 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Guojun Yin trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ross B. Girshick
  8. Christian Szegedy
  9. Sergey Ioffe
  10. Karen Simonyan

Who trusts Guojun Yin overall

  1. Jiadong Liang
  2. Ming Tao
  3. Wenjie Pei
  4. Jing Yu Koh
  5. Han Zhang
  6. Hui Ye
  7. Tristan Sylvain
  8. Hao Tang
  9. Feng Lu
  10. Hasam Khalid

Papers from Guojun Yin's perspective

Ordered by how strongly the researchers Guojun Yin 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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