Guile Wu

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 609 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Guile Wu trusts overall

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

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

Who trusts Guile Wu overall

  1. Zhicheng Sun
  2. Marco Toldo
  3. Zhenyu Cui
  4. Liyuan Wang
  5. Mingfu Liang
  6. Shaogang Gong
  7. Yadong Mu
  8. Yujun Shi
  9. Mete Ozay
  10. Pan Li

Papers from Guile Wu's perspective

Ordered by how strongly the researchers Guile 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers