Huihui Fang

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huihui Fang trusts overall

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

  1. Alex Nichol
  2. Jonathan Ho
  3. Ilya Loshchilov
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Prafulla Dhariwal
  8. Yoshua Bengio
  9. Kaiming He
  10. Fabian Isensee

Who trusts Huihui Fang overall

  1. Junde Wu

Papers from Huihui Fang's perspective

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

Their papers