Mohammad Abu Alsheikh

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 149 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Abu Alsheikh trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Teuvo Kohonen
  5. Ross B. Girshick
  6. Alex Krizhevsky
  7. Ian T. Jolliffe
  8. Wendi Rabiner Heinzelman
  9. Morris H. Degroot
  10. Taiwo Oladipupo Ayodele

Who trusts Mohammad Abu Alsheikh overall

  1. M. Mohammadi
  2. Chaoyun Zhang
  3. Shree Krishna Sharma
  4. Ala Al-Fuqaha
  5. Omer Berat Sezer
  6. He Li
  7. Fatima Hussain
  8. Liang Xiao
  9. Florenc Demrozi
  10. Yuxi Li

Papers from Mohammad Abu Alsheikh's perspective

Ordered by how strongly the researchers Mohammad Abu Alsheikh 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers