Jun Guo

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2007–2020

A researcher in the Science corpus: 8 papers; trusts 453 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Guo trusts overall

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

  1. Kaiming He
  2. Andrew Zisserman
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ross B. Girshick
  9. Yann LeCun
  10. David G. Lowe

Who trusts Jun Guo overall

  1. Meng Yang
  2. Lei Zhang
  3. Zhiyong Cheng

Papers from Jun Guo's perspective

Ordered by how strongly the researchers Jun Guo 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. 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. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers