Ke Gong

Computer Vision and Pattern Recognition · 2012–2020

A researcher in the Science corpus: 7 papers; trusts 808 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Gong trusts overall

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

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

Who trusts Ke Gong overall

  1. Xintong Han
  2. Yuhui Yuan
  3. Sida Peng
  4. Jingdong Wang
  5. Jie Gui
  6. Bharat Lal Bhatnagar
  7. Haoyu He
  8. Ke Sun
  9. Chia-Jung Chou
  10. Zhen Zhu

Papers from Ke Gong's perspective

Ordered by how strongly the researchers Ke Gong 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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