Makan Fardad

Computer Vision and Pattern Recognition · 2010–2018

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Makan Fardad trusts overall

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

  1. E.J. Candes
  2. Stephen P. Boyd
  3. Anders Rantzer
  4. Miguel Sousa Lobo
  5. Bernardo Cockburn
  6. Alex Krizhevsky

Who trusts Makan Fardad overall

  1. Brendan O'Donoghue
  2. Xiaofan Wu
  3. Florian Dörfler
  4. Daniel D. Molzahn
  5. Shengbo Eben Li

Papers from Makan Fardad's perspective

Ordered by how strongly the researchers Makan Fardad 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Caffe: Convolutional Architecture for Fast Feature Embedding
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  10. Long Short-Term Memory

Their papers