Woo Chaw Seng

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Woo Chaw Seng trusts overall

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

  1. Li Ma
  2. Tien-Ping Tan
  3. Ajay Kumar
  4. John G. Daugman
  5. Zsolt Miklós Kovács-Vajna
  6. Kevin W. Bowyer
  7. Anil K. Jain
  8. Zhenan Sun
  9. Ping Yan
  10. Hui Chen

Papers from Woo Chaw Seng's perspective

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

Their papers