Richard Zhuang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Zhuang trusts overall

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

  1. Raghuraman Krishnamoorthi
  2. Yoshua Bengio
  3. Song Han
  4. Markus Nagel
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Zhuang Liu
  8. Kaiming He

Papers from Richard Zhuang's perspective

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

Their papers