Di Wang

Computer Vision and Pattern Recognition · with Zhang · 2015–2022

A researcher in the Science corpus: 3 papers; trusts 400 researchers and is trusted by 0 researchers 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. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Andrew Zisserman
  9. Yann LeCun
  10. Jia Deng

Who trusts Di Wang overall

  1. Abdulaziz Amer Aleissaee
  2. F. Liu
  3. Yuxuan Li
  4. Kartik Kuckreja

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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers