Jianhua Wu

Computer Vision and Pattern Recognition · with Lim · 2018

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianhua Wu trusts overall

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

  1. Zhou Wang
  2. Diederik P. Kingma
  3. Karen Simonyan
  4. Hamid R. Sheikh
  5. A. Bovik
  6. Individualized Treat
  7. Andrew Zisserman
  8. Jun-Yan Zhu
  9. Geoffrey E. Hinton
  10. Phillip Isola

Papers from Jianhua Wu's perspective

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

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

Their papers