Yifei Huang

Computer Vision and Pattern Recognition · with Liu · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yifei Huang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Andrew Zisserman
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Ilya Loshchilov
  8. Piotr Doll'ar
  9. Yann LeCun
  10. Yoshua Bengio

Papers from Yifei Huang's perspective

Ordered by how strongly the researchers Yifei 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers