Reza Bahmanyar

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 253 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Reza Bahmanyar trusts overall

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

  1. David M. Blei
  2. Kaiming He
  3. Ross B. Girshick
  4. Thomas Hofmann
  5. Li Fei-Fei
  6. Andrew Zisserman
  7. Alex Krizhevsky
  8. Geoffrey E. Hinton
  9. David G. Lowe
  10. Karen Simonyan

Who trusts Reza Bahmanyar overall

  1. Xue Yang
  2. Gong Cheng
  3. Junwei Han
  4. Muhammad Ahmad
  5. Jian Ding
  6. Junchi Yan
  7. Wentong Li

Papers from Reza Bahmanyar's perspective

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

Their papers