C. Lee

Computer Vision and Pattern Recognition · with Han · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom C. Lee trusts overall

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

  1. Mehdi Mirza
  2. Alec Radford
  3. Simon Osindero
  4. Geoffrey E. Hinton
  5. Luke Metz
  6. Ian J. Goodfellow
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts C. Lee overall

  1. Zhifeng Kong
  2. Wei Ping

Papers from C. Lee's perspective

Ordered by how strongly the researchers C. Lee 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers