Wei Sun

Computer Vision and Pattern Recognition · with Huang · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 181 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Sun trusts overall

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

  1. Kaiming He
  2. David G. Lowe
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jia Deng
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Jitendra Malik

Papers from Wei Sun's perspective

Ordered by how strongly the researchers Wei Sun 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. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers