Reza Ebrahimpour

Cognitive Neuroscience · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Reza Ebrahimpour trusts overall

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

  1. Ludmila I. Kuncheva
  2. Alex Krizhevsky
  3. Ha Hong
  4. Seyed-Mahdi Khaligh-Razavi
  5. Daniel L. K. Yamins
  6. Geoffrey E. Hinton

Who trusts Reza Ebrahimpour overall

  1. Rohit Sridhar
  2. Natalia Shakhovska
  3. Yongquan Yang
  4. Daniel W. Peterson
  5. Arthur Juliani
  6. Yang Shu
  7. Xiaoxiao Li
  8. Samyam Rajbhandari
  9. Yuzi Yan
  10. Haohe Liu

Papers from Reza Ebrahimpour's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Distinctive Image Features from Scale-Invariant Keypoints
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Histograms of oriented gradients for human detection
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers