Michael B. Mi

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 140 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael B. Mi trusts overall

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

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

Papers from Michael B. Mi's perspective

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

Their papers