Charence Wong

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Charence Wong trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Ilya Sutskever
  6. Laurent Younes
  7. Ruslan Salakhutdinov
  8. Pascal Vincent
  9. Marc'Aurelio Ranzato
  10. Diederik P. Kingma

Who trusts Charence Wong overall

  1. Alfredo Vellido
  2. M. Mohammadi
  3. Xiaochen Zheng
  4. M. Bakator
  5. Fang Liu
  6. Pramila P. Shinde

Papers from Charence Wong's perspective

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

Their papers