Ah-Hwee Tan

Computer Vision and Pattern Recognition · 2008–2017

A researcher in the Science corpus: 3 papers; trusts 105 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ah-Hwee Tan trusts overall

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

  1. J. Ross Quinlan
  2. Alireza Fathi
  3. Geoffrey G. Towell
  4. Steven L. Salzberg
  5. Yong Jae Lee
  6. Michael Gygli
  7. Kristen Grauman
  8. G. Huang
  9. Chin-Yew Lin
  10. Usama M. Fayyad

Who trusts Ah-Hwee Tan overall

  1. G. Huang

Papers from Ah-Hwee Tan's perspective

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

Their papers