Francis E. H. Tay

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 621 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Francis E. H. Tay trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Christian Szegedy

Who trusts Francis E. H. Tay overall

  1. Li Yuan
  2. Jianping Gou
  3. Daquan Zhou
  4. Weihao Yu
  5. Qibin Hou
  6. Liyuan Sun
  7. Kunran Xu
  8. Maorong Wang

Papers from Francis E. H. Tay's perspective

Ordered by how strongly the researchers Francis E. H. Tay 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers