Fu-Chen Chen

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 3 papers; trusts 110 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Fu-Chen Chen trusts overall

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

  1. Yoshua Bengio
  2. L. Eon Bottou
  3. Ross B. Girshick
  4. Corinna Cortes
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Jia Deng
  8. Vladimir Naumovich Vapnik
  9. Yann LeCun
  10. Kaiming He

Who trusts Fu-Chen Chen overall

  1. Boyuan Yang
  2. Sattar Dorafshan
  3. Billie F. Spencer Jr.
  4. Sandeep Sony
  5. Hongwen Dong
  6. Ruonan Liu
  7. R. Thomas
  8. Vedhus Hoskere
  9. Kyle Dunphy
  10. J. Kao

Papers from Fu-Chen Chen's perspective

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

Their papers