Muhammad Awais

Computer Vision and Pattern Recognition · with Anwar · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 572 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Awais trusts overall

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

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

Who trusts Muhammad Awais overall

  1. Adnan Qayyum
  2. Shiv Ram Dubey
  3. Yotam Nitzan

Papers from Muhammad Awais's perspective

Ordered by how strongly the researchers Muhammad Awais 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers