Chen Feng

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 8 papers; trusts 434 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Feng trusts overall

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

  1. Geoffrey E. Hinton
  2. Charles Ruizhongtai Qi
  3. Yann LeCun
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Hao Su
  8. Diederik P. Kingma
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Chen Feng overall

  1. Yifan Wang
  2. Zhiyuan Zhang
  3. Pedro Hermosilla
  4. Zhiqin Chen
  5. Haowen Deng
  6. Yongming Rao
  7. Zhizhong Han
  8. Jonathan Sauder
  9. Saining Xie
  10. Minghua Liu

Papers from Chen Feng's perspective

Ordered by how strongly the researchers Chen Feng 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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