Reza Hoseinnezhad

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 99 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Reza Hoseinnezhad trusts overall

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

  1. David G. Lowe
  2. David Nistér
  3. Sebastian Thrun
  4. Radu Bogdan Rusu
  5. Tim Bailey
  6. Geir Evensen
  7. Michael Montemerlo
  8. Peter Henry
  9. Krystian Mikolajczyk
  10. Davide Scaramuzza

Papers from Reza Hoseinnezhad's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers