Peyman Hosseinzadeh Kassani

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peyman Hosseinzadeh Kassani trusts overall

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

  1. Leo Breiman
  2. Alex Krizhevsky
  3. Nello Cristianini
  4. Y-Lan Boureau
  5. Joseph Paul Cohen
  6. Mücahid Barstuğan
  7. Geoffrey E. Hinton

Papers from Peyman Hosseinzadeh Kassani's perspective

Ordered by how strongly the researchers Peyman Hosseinzadeh Kassani 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers