Mingbo Zhao

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 153 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mingbo Zhao trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. R. Fisher
  6. Ross B. Girshick
  7. Karen Simonyan
  8. Masashi Sugiyama
  9. Yann LeCun
  10. Sam T. Roweis

Who trusts Mingbo Zhao overall

  1. Shen Zhang
  2. Xiang Li
  3. Shibo Zhang
  4. Minghang Zhao
  5. Yaguo Lei

Papers from Mingbo Zhao's perspective

Ordered by how strongly the researchers Mingbo Zhao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers