Zhongqi Miao

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 460 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Zhongqi Miao trusts overall

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

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

Who trusts Zhongqi Miao overall

  1. Jiequan Cui
  2. Bingyi Kang
  3. Ziwei Liu
  4. Zhisheng Zhong
  5. Matthew Wallingford
  6. Yuzhe Yang
  7. Tong Wu
  8. Kaihua Tang
  9. Chris Dongjoo Kim
  10. Christos Sakaridis

Papers from Zhongqi Miao's perspective

Ordered by how strongly the researchers Zhongqi Miao 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images

Their papers