Siamak Hajizadeh

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Siamak Hajizadeh trusts overall

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

  1. Karen Simonyan
  2. Navneet Dalal
  3. Ronan Collobert
  4. Xavier Gibert
  5. Andrew Zisserman
  6. Alex Krizhevsky

Papers from Siamak Hajizadeh's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Histograms of oriented gradients for human detection
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers