Mehrtash Manafifard

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mehrtash Manafifard trusts overall

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

  1. Shai Avidan
  2. Changjiang Yang
  3. Katja Nummiaro
  4. M. Sanjeev Arulampalam
  5. Ramani Duraiswami
  6. Esther Koller-Meier
  7. Simon Maskell
  8. Joachim Gudmundsson

Papers from Mehrtash Manafifard's perspective

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

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

Their papers