Yimeng Song

Media Technology · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yimeng Song trusts

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

  1. Liangpei Zhang (in Media Technology)

Papers from Yimeng Song's perspective

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

  1. Fully convolutional networks for semantic segmentation
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. ImageNet: A large-scale hierarchical image database
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers