Eam Khwang Teoh

Computer Vision and Pattern Recognition · 2004–2014

A researcher in the Science corpus: 3 papers; trusts 315 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Eam Khwang Teoh trusts overall

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

  1. Ivan Laptev
  2. Jake K. Aggarwal
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Jitendra Malik
  7. Ross B. Girshick
  8. David G. Lowe
  9. Michael S. Ryoo
  10. Andrew Zisserman

Who trusts Eam Khwang Teoh overall

  1. Z. Kim
  2. Joel C. McCall
  3. Aharon Bar-Hillel
  4. Qingquan Li
  5. Qin Zou

Papers from Eam Khwang Teoh's perspective

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

Their papers