Ziyuan Huang

Computer Vision and Pattern Recognition · with Chang · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 530 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ziyuan Huang trusts overall

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

  1. Martin Danelljan
  2. Kaiming He
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Matthias Mueller
  7. João F. Henriques
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Ziyuan Huang overall

  1. Yiming Li

Papers from Ziyuan Huang's perspective

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

Their papers