Gaochang Wu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gaochang Wu trusts overall

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

  1. Ren Ng
  2. Sven Wanner
  3. Marc Levoy
  4. Hae-Gon Jeon
  5. Bastian Goldlücke
  6. Nima Khademi Kalantari
  7. Ralph Gross
  8. Zhou Wang
  9. Tingxian Wang
  10. John Flynn

Papers from Gaochang Wu's perspective

Ordered by how strongly the researchers Gaochang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Image quality assessment: from error visibility to structural similarity
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers