Yi-Li Huang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yi-Li Huang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Joseph Redmon
  5. Shaoqing Ren
  6. X. Zhang
  7. Chien-Yao Wang
  8. Alex Krizhevsky
  9. Tsung-Yi Lin

Who trusts Yi-Li Huang overall

  1. Juan R. Terven

Papers from Yi-Li Huang's perspective

Ordered by how strongly the researchers Yi-Li 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. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers