Di Wang

Computer Vision and Pattern Recognition · with Liu · 2022

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 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. Karen Simonyan
  2. Phillip Isola
  3. Max Jaderberg
  4. Mehdi S. M. Sajjadi
  5. Andrew Zisserman
  6. Wei-Sheng Lai
  7. Zhixiang Wang
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Jinyuan Liu

Who trusts Di Wang overall

  1. Xingchen Zhang
  2. Linfeng Tang
  3. Zixiang Zhao
  4. Jinyuan Liu
  5. Yiannis Demiris
  6. Yuxin Deng

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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers