Kenneth W. Shum

Computer Vision and Pattern Recognition · 2004–2015

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kenneth W. Shum trusts overall

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

  1. S. Kaliman
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Hugo Larochelle
  5. Pascal Vincent
  6. Yichuan Tang
  7. Matthew D. Zeiler
  8. Nitish Srivastava
  9. Alex Krizhevsky
  10. Ruslan Salakhutdinov

Papers from Kenneth W. Shum's perspective

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

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

Their papers