Edward K. Wong

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Edward K. Wong trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Raif M. Rustamov
  4. A. Bronstein
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Kaiming He
  8. Diederik P. Kingma
  9. Ilya Sutskever

Who trusts Edward K. Wong overall

  1. Shuran Song

Papers from Edward K. Wong's perspective

Ordered by how strongly the researchers Edward K. Wong 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers