Moi Hoon Yap

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Moi Hoon Yap trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Evan Shelhamer
  6. David Martin Ward Powers
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Christian Szegedy

Who trusts Moi Hoon Yap overall

  1. Nabila Abraham
  2. Jian Wang
  3. Fahad Shamshad
  4. Shengfeng Liu
  5. Kelei He
  6. Naimul Mefraz Khan

Papers from Moi Hoon Yap's perspective

Ordered by how strongly the researchers Moi Hoon Yap 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers