Wanmo Kang

Computer Vision and Pattern Recognition · 2007–2021

A researcher in the Science corpus: 5 papers; trusts 244 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Wanmo Kang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Jimmy Ba
  6. Yang Song
  7. Yann LeCun
  8. Max Welling
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Wanmo Kang overall

  1. Huyen Pham
  2. Kay Giesecke
  3. Q. Liao

Papers from Wanmo Kang's perspective

Ordered by how strongly the researchers Wanmo Kang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers