Bardia Doosti

Computer Vision and Pattern Recognition · 2020

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

Subfields

Whom Bardia Doosti trusts overall

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

  1. Manuel Jesús Marín-Jiménez
  2. Martin Köstinger
  3. Xucong Zhang
  4. Wei David Liu
  5. Andrew Zisserman
  6. Chunhui Gu
  7. Christian Szegedy
  8. Geoffrey E. Hinton

Papers from Bardia Doosti's perspective

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

Their papers