Chao Wu

Computer Vision and Pattern Recognition · with Dong · 2017

A researcher in the Science corpus: 2 papers; trusts 193 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Wu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Sergey Ioffe
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Jimmy Ba
  10. Scott E. Reed

Who trusts Chao Wu overall

  1. Huy P Phan

Papers from Chao Wu's perspective

Ordered by how strongly the researchers Chao Wu 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers