F. Sultana

Computer Vision and Pattern Recognition · with Dutta · 2020

A researcher in the Science corpus: 1 paper; trusts 1,082 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom F. Sultana trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Piotr Doll'ar

Papers from F. Sultana's perspective

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

Their papers