Wei Song

Computer Vision and Pattern Recognition · Pacific Rim Conference on Multimedia · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Song trusts overall

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

  1. Mohinder Malhotra
  2. Anish Mittal
  3. Raanan Fattal
  4. Kaiming He
  5. Yan-Tsung Peng
  6. Anush K. Moorthy
  7. David Eigen
  8. Karen A. Panetta
  9. Qingsong Zhu
  10. Adrian Galdran

Who trusts Wei Song overall

  1. Lintao Peng
  2. Yudong Wang
  3. Chunli Zhu
  4. Jichang Guo

Papers from Wei Song's perspective

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

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

Their papers