Mingkun Yang

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 861 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mingkun Yang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Yann LeCun
  9. Alex Graves
  10. Max Jaderberg

Who trusts Mingkun Yang overall

  1. Shangbang Long
  2. Hao Wang
  3. Deli Yu
  4. Pengyuan Lyu

Papers from Mingkun Yang's perspective

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