Joo Kooi Tan

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joo Kooi Tan trusts overall

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

  1. Ivan Laptev
  2. Gary R. Bradski
  3. Ju Han
  4. Piotr Doll'ar
  5. Navneet Dalal
  6. Yan Ke
  7. Anil K. Jain
  8. Daniel Weinland
  9. Geert Willems
  10. Takeo Kanade

Who trusts Joo Kooi Tan overall

  1. Mengyang Yu
  2. Min Jiang

Papers from Joo Kooi Tan's perspective

Ordered by how strongly the researchers Joo Kooi 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. Histograms of oriented gradients for human detection
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers