Benjamin Bustos

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Bustos trusts overall

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

  1. Matthijs C. Dorst
  2. Cordelia Schmid
  3. Krystian Mikolajczyk
  4. Michael Garland
  5. Ivan Laptev
  6. Natasha Gelfand
  7. David G. Lowe
  8. Paul S. Heckbert

Who trusts Benjamin Bustos overall

  1. Yulan Guo
  2. Mohammed Bennamoun

Papers from Benjamin Bustos's perspective

Ordered by how strongly the researchers Benjamin Bustos 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. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers