Jun Gao

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 9 papers; trusts 831 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Gao trusts overall

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

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

Who trusts Jun Gao overall

  1. Peng Wang
  2. Gal Metzer
  3. Elad Richardson
  4. Dilin Wang
  5. Heewoo Jun
  6. Chengyue Gong
  7. Taoran Yi
  8. Rui Chen
  9. Alex Nichol
  10. Leonardo Banh

Papers from Jun Gao's perspective

Ordered by how strongly the researchers Jun 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers