Yongsheng Gao

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2002–2020

A researcher in the Science corpus: 5 papers; trusts 63 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Yongsheng Gao trusts overall

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

  1. Matthew A. Turk
  2. Peter N. Belhumeur
  3. Athinodoros S. Georghiades
  4. Volker Blanz
  5. Chengjun Liu
  6. Alex Pentland
  7. Timo Ahonen
  8. David J. Kriegman
  9. Ralph Gross
  10. Tim Cootes

Who trusts Yongsheng Gao overall

  1. Xiaozheng Zhang
  2. Adams Wai-Kin Kong
  3. N. H. Barnouti
  4. Andrea Francesco Abate
  5. Seong-Gon Kong
  6. J. Unar
  7. David Dapeng Zhang
  8. Almansour
  9. Michele Nappi
  10. Jiwen Lu

Papers from Yongsheng Gao's perspective

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

Their papers