Yi Shen

Computer Vision and Pattern Recognition · with Fan · 2010

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 Yi Shen trusts overall

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

  1. Florian Schroff
  2. Chris H. Q. Ding

Papers from Yi Shen's perspective

Ordered by how strongly the researchers Yi Shen 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. Normalized cuts and image segmentation
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers