Ritchie Zhao

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 113 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ritchie Zhao trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Christian Szegedy
  10. X. Zhang

Who trusts Ritchie Zhao overall

  1. Young Geun Kim
  2. Itay Hubara
  3. Carole-Jean Wu
  4. Ruizhe Zhao
  5. Yury Nahshan
  6. Zhenhua Liu
  7. Yash Bhalgat
  8. Yaohui Cai
  9. Tailin Liang
  10. Tejalal Choudhary

Papers from Ritchie Zhao's perspective

Ordered by how strongly the researchers Ritchie Zhao 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. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers