Hanwei Chen

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanwei Chen trusts

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

  1. Karen Simonyan (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Yoshua Bengio (in Computer Vision and Pattern Recognition)
  4. Aaron C. Courville (in Computer Vision and Pattern Recognition)
  5. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  6. Lawrence K. Saul (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Hanwei Chen's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Going deeper with convolutions
  3. ImageNet classification with deep convolutional neural networks
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Fully convolutional networks for semantic segmentation
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Deep Learning

Their papers