K. Wong

Computer Vision and Pattern Recognition · with Yang · 2002–2020

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom K. Wong trusts overall

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

  1. Hai Yang
  2. Diederik P. Kingma
  3. S. Wong

Who trusts K. Wong overall

  1. Hai Yang
  2. C. Fung
  3. Wai Yuen Szeto

Papers from K. Wong's perspective

Ordered by how strongly the researchers K. Wong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers