Mohammadhadi Bagheri

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 334 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammadhadi Bagheri trusts overall

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

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

Who trusts Mohammadhadi Bagheri overall

  1. Xiaosong Wang
  2. Pranav Rajpurkar

Papers from Mohammadhadi Bagheri's perspective

Ordered by how strongly the researchers Mohammadhadi Bagheri 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