Mohammad Belayet Hossain

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 223 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Belayet Hossain trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. François Chollet
  6. Christian Szegedy
  7. Navneet Dalal
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Jia Deng

Papers from Mohammad Belayet Hossain's perspective

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

Their papers