Paul Bao

Computer Vision and Pattern Recognition · 2003–2005

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Bao trusts overall

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

  1. John F. Canny
  2. Ingrid Daubechies
  3. Stéphane Mallat
  4. Mauro Barni
  5. Aleksandra Pizurica
  6. Bin Yu
  7. Wilfried Philips
  8. David L. Donoho
  9. Martin Vetterli
  10. Alessandro Piva

Who trusts Paul Bao overall

  1. J. Mohan
  2. Bo Peng
  3. Yaniv Gal
  4. Priya Sundaresan
  5. V. Krishnaveni
  6. Lei Zhang
  7. Andrew J. H. Mehnert
  8. Yanhui Guo

Papers from Paul Bao's perspective

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

  1. A wavelet tour of signal processing
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet classification with deep convolutional neural networks
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers