Wei Yun Yau

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 3 papers; trusts 406 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Yun Yau trusts overall

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

  1. Ivan Laptev
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Karen Simonyan
  6. Ross B. Girshick
  7. David G. Lowe
  8. Andrew Zisserman
  9. Jake K. Aggarwal
  10. Yoshua Bengio

Who trusts Wei Yun Yau overall

  1. Marius Tico
  2. Raffaele Cappelli
  3. Danilo Valdés-Ramírez
  4. Pauli Kuosmanen

Papers from Wei Yun Yau's perspective

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

Their papers