Kwan-Yee Kenneth Wong

Computer Vision and Pattern Recognition · 3 papers · 2001–2021

A researcher in the Science corpus: 3 papers; trusts 251 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kwan-Yee Kenneth Wong trusts overall

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

  1. John F. Canny
  2. Richard Szeliski
  3. William E. Lorensen
  4. Adrian Broadhurst
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Ross B. Girshick
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Kwan-Yee Kenneth Wong overall

  1. Lars M. Mescheder
  2. Michael Oechsle
  3. German K. M. Cheung

Papers from Kwan-Yee Kenneth Wong's perspective

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

Their papers