Songtao Wu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Songtao Wu trusts overall

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

  1. Jessica J. Fridrich
  2. Jan Kodovský
  3. Vojtech Holub
  4. Kaiming He
  5. Vahid Sedighi
  6. Patrick Bas
  7. Bin Li
  8. Tomáš Denemark
  9. Guanshuo Xu
  10. X. Zhang

Who trusts Songtao Wu overall

  1. Billie F. Spencer Jr.
  2. Utku Evci
  3. Ke Liu
  4. Vedhus Hoskere
  5. Yani Ioannou

Papers from Songtao Wu's perspective

Ordered by how strongly the researchers Songtao 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. ImageNet: A large-scale hierarchical image database

Their papers