Ghassem Tofighi

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ghassem Tofighi trusts overall

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

  1. David G. Lowe
  2. Alex Krizhevsky
  3. Stephen M. Smith
  4. Karen Simonyan
  5. Yann LeCun
  6. Kaiming He
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Ilya Sutskever

Papers from Ghassem Tofighi's perspective

Ordered by how strongly the researchers Ghassem Tofighi 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. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers