Yan Huang

Computer Vision and Pattern Recognition · 2011–2023

A researcher in the Science corpus: 22 papers; trusts 1,341 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Kaiming He
  5. Benny Pinkas
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Ross B. Girshick
  10. Yehuda Lindell

Who trusts Yan Huang overall

  1. Thomas Schneider
  2. David E. Evans
  3. Daniel Demmler
  4. Benny Pinkas
  5. Samee Zahur
  6. Valeria Nikolaenko
  7. Ebrahim M. Songhori
  8. Vladimir Kolesnikov
  9. Arpita Patra
  10. Adrià Gascón

Papers from Yan Huang's perspective

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

Their papers