Muhammad Usman Ghani Khan

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Usman Ghani Khan trusts overall

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

  1. Albert Gatt
  2. Christopher D. Manning
  3. Chet Langin
  4. Andreas Stolcke
  5. Daniel Klein
  6. Ehud Reiter
  7. Stephen M. Smith
  8. Kaiming He
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Muhammad Usman Ghani Khan overall

  1. Haonan Yu
  2. Marcus Rohrbach
  3. Jeff Donahue
  4. Jeffrey Mark Siskind
  5. Sheng Li
  6. Jiang Wang
  7. Lisa Anne Hendricks
  8. Anna Rohrbach
  9. Yi Yang
  10. Zhiheng Huang

Papers from Muhammad Usman Ghani Khan's perspective

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

Their papers