Jie Feng

Computer Vision and Pattern Recognition · with Tao · 2011

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Feng trusts overall

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

  1. Neil D. B. Bruce
  2. Xiaodi Hou
  3. Laurent Itti
  4. Ian Endres
  5. Yufei Ma
  6. Timor Kadir
  7. Nicholas J. Butko
  8. Christof Koch
  9. Jonathan Harel
  10. Stas Goferman

Who trusts Jie Feng overall

  1. Quanshi Zhang
  2. Santiago Manen
  3. Quannan Li
  4. Jiajun Wu
  5. Guanbin Li
  6. Jianming Zhang
  7. Jun-Yan Zhu
  8. Ying Nian Wu
  9. Zhuowen Tu
  10. Matthieu Guillaumin

Papers from Jie Feng's perspective

Ordered by how strongly the researchers Jie Feng 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. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers