Arif Mahmood

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 5 papers; trusts 476 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Arif Mahmood trusts overall

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

  1. Xiaodong Yang
  2. Zicheng Liu
  3. Mark Newman
  4. Santo Fortunato
  5. Omar Oreifej
  6. Jiang Wang
  7. Geoffrey E. Hinton
  8. Wanqing Li
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Arif Mahmood overall

  1. Hossein Rahmani
  2. Ajmal Saeed Mian
  3. Jun Liu
  4. Amir Shahroudy
  5. Zehua Sun
  6. Mohammed Bennamoun
  7. Hao Zhang
  8. Tian-Tsong Ng
  9. G. Wang
  10. José Ramón Padilla-López

Papers from Arif Mahmood's perspective

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