Kuan Fang

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 6 papers; trusts 330 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Kuan Fang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Sergey Levine
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Yann LeCun
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Kuan Fang overall

  1. Tushar Nagarajan
  2. Peter Alexander Jansen
  3. Yuke Zhu
  4. Devendra Singh Chaplot
  5. Kristen Grauman
  6. Georgios Georgakis
  7. Heming Du
  8. Tommaso Campari
  9. Zengyi Qin
  10. Jiafei Duan

Papers from Kuan Fang's perspective

Ordered by how strongly the researchers Kuan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers