Yongye Huang

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongye Huang trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Svetlana Lazebnik
  7. Jimmy Ba
  8. Yoshua Bengio
  9. David R Ha
  10. Yann LeCun

Who trusts Yongye Huang overall

  1. Ayan Kumar Bhunia
  2. Aneeshan Sain
  3. John Philip Collomosse

Papers from Yongye Huang's perspective

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

Their papers