Cody Reading

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 230 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Cody Reading trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Liang-Chieh Chen
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Yann LeCun
  9. Thomas Roddick
  10. Evan Shelhamer

Who trusts Cody Reading overall

  1. Yunpeng Zhang
  2. Rui Qian
  3. Yingfei Liu
  4. Yue Hu
  5. Yi Wei
  6. Yanwei Li
  7. Zhengbiao Zhu
  8. Yinhao Li
  9. Zhiqi Li
  10. Yan Lu

Papers from Cody Reading's perspective

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

Their papers