G. Yu

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2009–2011

A researcher in the Science corpus: 4 papers; trusts 508 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom G. Yu trusts overall

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

  1. David G. Lowe
  2. Krystian Mikolajczyk
  3. E.J. Candes
  4. Francis R. Bach
  5. Michael Elad
  6. Cordelia Schmid
  7. Robert Tibshirani
  8. Andrew Zisserman
  9. Julian Besag
  10. Lei Zhang

Who trusts G. Yu overall

  1. Tomer Peleg
  2. Michael Elad
  3. Ignacio Rocco
  4. Julien Mairal
  5. Aäron van den Oord
  6. Daniel Zoran
  7. Yaniv Romano
  8. Soheil Kolouri
  9. Marc Lebrun
  10. Ajit Rajwade

Papers from G. Yu's perspective

Ordered by how strongly the researchers G. Yu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers