Muhammad Hussain

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 530 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Muhammad Hussain trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Tsung-Yi Lin
  4. Ross B. Girshick
  5. Shaoqing Ren
  6. Andrew Zisserman
  7. Christian Szegedy
  8. Joseph Redmon
  9. Alex Krizhevsky
  10. Geoffrey E. Hinton

Who trusts Muhammad Hussain overall

  1. Muhammad Yaseen

Papers from Muhammad Hussain's perspective

Ordered by how strongly the researchers Muhammad Hussain trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers