Yan Bai

Computer Vision and Pattern Recognition · with Duan · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Bai trusts overall

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

  1. Alec Radford
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Joseph Redmon
  6. Yuhui Yuan
  7. Ross B. Girshick
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Yann LeCun

Papers from Yan Bai's perspective

Ordered by how strongly the researchers Yan Bai 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. GENERATIVE ADVERSARIAL NETS
  10. Going deeper with convolutions

Their papers