Shangzhe Wu

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 551 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shangzhe Wu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Karen Simonyan
  5. Andrew Zisserman
  6. Diederik P. Kingma
  7. Ross B. Girshick
  8. Yann LeCun
  9. Yoshua Bengio
  10. David G. Lowe

Who trusts Shangzhe Wu overall

  1. Radek Daněček
  2. Zirui Wang
  3. Xingang Pan
  4. Qingsen Yan
  5. Guocheng Qian
  6. Ben Fei
  7. Xinyu Gong
  8. Matthew Tancik
  9. Michael J. Black
  10. Bo Dai

Papers from Shangzhe Wu's perspective

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

Their papers