Minghao Yin

Computer Vision and Pattern Recognition · with Cao · 2020

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minghao Yin trusts overall

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

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

Who trusts Minghao Yin overall

  1. Robin Strudel
  2. Huayao Liu
  3. Mengde Xu
  4. Chien-Yao Wang

Papers from Minghao Yin's perspective

Ordered by how strongly the researchers Minghao Yin 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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