Ming Wu

Computer Vision and Pattern Recognition · with Bhunia · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 236 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Wu trusts overall

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

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

Papers from Ming Wu's perspective

Ordered by how strongly the researchers Ming Wu 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers