Zhaoyang Huang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhaoyang Huang trusts overall

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

  1. Alexey Dosovitskiy
  2. Eddy Ilg
  3. Geoffrey E. Hinton
  4. Deqing Sun
  5. Kaiming He
  6. Jia Deng
  7. Alex Krizhevsky
  8. Anurag Ranjan
  9. Zachary Teed
  10. Diederik P. Kingma

Who trusts Zhaoyang Huang overall

  1. Tian Zhou
  2. Nikita Karaev

Papers from Zhaoyang Huang's perspective

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

Their papers