Boon-Siew Seah

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Boon-Siew Seah trusts overall

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

  1. Brendan J. Frey
  2. Rahul Raguram
  3. Tore Opsahl
  4. Yushi Jing
  5. Ian Simon
  6. Tat-seng Chua
  7. Svetlana Lazebnik
  8. Shumeet Baluja
  9. Pietro Panzarasa
  10. Delbert Dueck

Papers from Boon-Siew Seah's perspective

Ordered by how strongly the researchers Boon-Siew Seah 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. Long Short-Term Memory
  4. ImageNet: A large-scale hierarchical image database
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Going deeper with convolutions
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers