Yifu Chen

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 715 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Yifu Chen trusts overall

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

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

Who trusts Yifu Chen overall

  1. Arthur Douillard
  2. Fabio Cermelli
  3. Beomyoung Kim
  4. Mathieu Pagé Fortin
  5. Chang-Bin Zhang
  6. Jianqiang Xiao
  7. Huyong Wang
  8. Youngmin Oh
  9. Jiangwei Xie
  10. Timothée Lesort

Papers from Yifu Chen's perspective

Ordered by how strongly the researchers Yifu Chen 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  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