Zongming Guo

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 550 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Zongming Guo trusts overall

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

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

Who trusts Zongming Guo overall

  1. Wenhan Yang
  2. Chongyi Li

Papers from Zongming Guo's perspective

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

Their papers