Lin Gao

Computer Vision and Pattern Recognition · with Jia · 2014–2022

A researcher in the Science corpus: 4 papers; trusts 257 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Gao trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Jerome H. Friedman
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ilya Sutskever
  10. Jianxiong Xiao

Papers from Lin Gao's perspective

Ordered by how strongly the researchers Lin 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. 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