Di Wang

Computer Vision and Pattern Recognition · with Lymberopoulos · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 119 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Di Wang trusts overall

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

  1. Kaiming He
  2. Barret Zoph
  3. Quoc V. Le
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. L. Eon Bottou
  7. Yoshua Bengio
  8. Karen Simonyan
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Di Wang overall

  1. Susan Athey
  2. Francisco J. R. Ruiz
  3. Rob Donnelly
  4. David M. Blei

Papers from Di Wang's perspective

Ordered by how strongly the researchers Di Wang 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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