Shuhan Shen

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuhan Shen trusts overall

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

  1. S. M. Seitz
  2. David G. Lowe
  3. Yasutaka Furukawa
  4. Brian Curless
  5. Engin Tola
  6. Michael Goesele
  7. Carlos Hernández Esteban
  8. Noah Snavely
  9. George Vogiatzis
  10. Jan-Michael Frahm

Who trusts Shuhan Shen overall

  1. Silvano Galliani

Papers from Shuhan Shen's perspective

Ordered by how strongly the researchers Shuhan Shen 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. Distinctive Image Features from Scale-Invariant Keypoints
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers