Muhammad Imran Razzak

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Imran Razzak trusts overall

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

  1. Gil Levi
  2. Weidi Xie
  3. Harry Pratt
  4. Alex Krizhevsky
  5. Konstantinos Kamnitsas
  6. Tal Hassner
  7. Francesco Ciompi
  8. Andrew Zisserman
  9. Varun Gulshan
  10. Geoffrey E. Hinton

Who trusts Muhammad Imran Razzak overall

  1. S. Suganyadevi
  2. Rafael Staiger Bressan
  3. Sweta Bhattacharya
  4. V. Seethalakshmi
  5. Daniel H. A. Alves

Papers from Muhammad Imran Razzak's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers