Xiaolin Wu

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2002–2011

A researcher in the Science corpus: 6 papers; trusts 44 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaolin Wu trusts overall

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

  1. David L. Donoho
  2. Xin Li
  3. Michael Elad
  4. Julien Mairal
  5. E.J. Candes
  6. A. Buades
  7. Michael T. Orchard
  8. Stéphane Mallat
  9. Stanley J. Osher
  10. Matan Protter

Who trusts Xiaolin Wu overall

  1. G. Yu
  2. Stéphane Mallat
  3. Weisheng Dong
  4. Hang Zhao
  5. Syed Waqas Zamir
  6. Andrew D. Ker
  7. Lei Zhang
  8. Yulun Zhang
  9. Kaibing Zhang
  10. Guillermo Sapiro

Papers from Xiaolin Wu's perspective

Ordered by how strongly the researchers Xiaolin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers