Xiao Bai

Computer Vision and Pattern Recognition · with Cheng · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 149 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Bai trusts overall

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

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

Papers from Xiao Bai's perspective

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

Their papers