Siu-Yeung Cho

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Siu-Yeung Cho trusts overall

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

  1. David G. Lowe

Papers from Siu-Yeung Cho's perspective

Ordered by how strongly the researchers Siu-Yeung Cho 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. Object recognition from local scale-invariant features
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. ImageNet: A large-scale hierarchical image database
  7. "GrabCut": interactive foreground extraction using iterated graph cuts
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers