Chang Wen Chen

Computer Vision and Pattern Recognition · ACM/IEEE International Conference on Mobile Computing and Networking · 2009–2018

A researcher in the Science corpus: 4 papers; trusts 216 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Chang Wen Chen trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Yann LeCun
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Ian J. Goodfellow

Who trusts Chang Wen Chen overall

  1. Jianlong Fu

Papers from Chang Wen Chen's perspective

Ordered by how strongly the researchers Chang Wen Chen 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers