Mustafa R. Bashir

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 176 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mustafa R. Bashir trusts overall

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

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

Papers from Mustafa R. Bashir's perspective

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

Their papers