Amir Ghodrati

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 5 papers; trusts 872 researchers and is trusted by 81 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Ghodrati trusts overall

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

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

Who trusts Amir Ghodrati overall

  1. Basura Fernando
  2. Xiaozhi Chen
  3. Chen Huang
  4. Stephen Gould
  5. Yizeng Han
  6. Pichao Wang
  7. Junwei Han
  8. Kaustav Kundu
  9. Li Liu
  10. Anoop Cherian

Papers from Amir Ghodrati's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers