Shing-Chow Chan

Computer Vision and Pattern Recognition · 2000–2015

A researcher in the Science corpus: 5 papers; trusts 64 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Shing-Chow Chan trusts overall

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

  1. Michael R. Osborne
  2. Na Li
  3. Janne Heikkilä
  4. S. M. Seitz
  5. Navneet Dalal
  6. Hamed Mohsenian Rad
  7. Serge J. Belongie
  8. Mathias Kölsch
  9. Haibin Ling
  10. Xiang Bai

Who trusts Shing-Chow Chan overall

  1. Tom E. Bishop
  2. Hussain Shareef
  3. Ruigang Yang
  4. Ben Mildenhall

Papers from Shing-Chow Chan's perspective

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

Their papers