Shanghua Gao

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 5 papers; trusts 790 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Shanghua Gao trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Christian Szegedy
  10. David G. Lowe

Who trusts Shanghua Gao overall

  1. Deng-Ping Fan
  2. Ming-Ming Cheng
  3. Qibin Hou
  4. Tao Zhou
  5. Ge-Peng Ji
  6. Yu-Huan Wu
  7. Zheng Lin
  8. Yazan Abu Farha
  9. Meng-Hao Guo
  10. Xingyi Zhou

Papers from Shanghua Gao's perspective

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