Payman Yadollahpour

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 359 researchers and is trusted by 673 researchers here, as inferred from the citation graph.

Subfields

Whom Payman Yadollahpour trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Andrew Zisserman
  5. Ross B. Girshick
  6. Yann LeCun
  7. Kaiming He
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Payman Yadollahpour overall

  1. Liang-Chieh Chen
  2. Golnaz Ghiasi
  3. George Papandreou
  4. Seunghoon Hong
  5. Guosheng Lin
  6. Chunhua Shen
  7. Kyunghyun Cho
  8. Alan L. Yuille
  9. Dhruv Batra
  10. Ping Luo

Papers from Payman Yadollahpour's perspective

Ordered by how strongly the researchers Payman Yadollahpour 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers