Muhammad Maaz

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 5 papers; trusts 453 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Maaz trusts overall

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

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

Who trusts Muhammad Maaz overall

  1. Yi Wang
  2. Kunchang Li
  3. Yanwei Li
  4. Peng Jin
  5. Bin Lin
  6. Bin Huang
  7. Lin Xu
  8. Ning Zhang
  9. Md Maruf Hossain Shuvo
  10. Feng Li

Papers from Muhammad Maaz's perspective

Ordered by how strongly the researchers Muhammad Maaz 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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