Dehua Song

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dehua Song trusts overall

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

  1. Ying Tai
  2. Xiangyu Zhang
  3. Kaiming He
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Jiwon Kim
  7. Karen Simonyan
  8. Mingxing Tan
  9. Yoshua Bengio
  10. Diederik P. Kingma

Papers from Dehua Song's perspective

Ordered by how strongly the researchers Dehua Song 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers