Bin Fang

Computer Vision and Pattern Recognition · with Li · 2009–2015

A researcher in the Science corpus: 4 papers; trusts 130 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Fang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Li Fei-Fei
  4. Yann LeCun
  5. Yoshua Bengio
  6. John F. Canny
  7. Ilya Sutskever
  8. Chih-Jen Lin
  9. David G. Lowe
  10. Matthew D. Zeiler

Papers from Bin Fang's perspective

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

Their papers