Hongmei Song

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 390 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Hongmei Song trusts overall

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

  1. Wenguan Wang
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Jianbing Shen
  7. Karen Simonyan
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Hongmei Song overall

  1. Wenguan Wang
  2. Xiankai Lu
  3. Jianbing Shen
  4. Deng-Ping Fan
  5. Xiaoqi Zhao
  6. Xinkai Lu
  7. Mennatullah Siam
  8. Yang Liu
  9. Reza Azad
  10. David J. Crandall

Papers from Hongmei Song's perspective

Ordered by how strongly the researchers Hongmei Song 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. Long Short-Term Memory
  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. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers