Wei Fang

Electrical and Electronic Engineering · IEEE International Conference on Computer Vision · 2016–2023

A researcher in the Science corpus: 5 papers; trusts 75 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Wei Fang trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Yann LeCun
  4. Sergey Ioffe
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Yujie Wu
  9. Christian Szegedy
  10. Hesham Mostafa

Who trusts Wei Fang overall

  1. Man Yao
  2. Shi-Wee Deng
  3. Mingqing Xiao
  4. Yonghong Tian

Papers from Wei Fang's perspective

Ordered by how strongly the researchers Wei 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. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers