Yi-Hua Huang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi-Hua Huang trusts overall

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

  1. Jonathan T. Barron
  2. Johannes L. Schönberger
  3. Ang Cao
  4. Olga Sorkine-Hornung
  5. Geoffrey E. Hinton
  6. Richard A. Newcombe
  7. Kaiming He
  8. Diederik P. Kingma
  9. Richard Zhang
  10. Robert W. Sumner

Papers from Yi-Hua Huang's perspective

Ordered by how strongly the researchers Yi-Hua 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers