Alex Colburn

Computer Vision and Pattern Recognition · 2004–2016

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Colburn trusts overall

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

  1. Corinna Cortes
  2. Maja Pantic
  3. Xuehan Xiong
  4. Yung-Yu Chuang
  5. Andrew Blake
  6. Caifeng Shan
  7. Vladimir Naumovich Vapnik
  8. Yuri Boykov
  9. Maxime Oquab
  10. Alex Krizhevsky

Who trusts Alex Colburn overall

  1. Shervin Minaee
  2. Suyog Dutt Jain
  3. Haohan Wang

Papers from Alex Colburn's perspective

Ordered by how strongly the researchers Alex Colburn 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  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