Mohammad H. Mahoor

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 5 papers; trusts 230 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad H. Mahoor trusts overall

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

  1. Alex Krizhevsky
  2. Chih-Jen Lin
  3. Jeffrey F. Cohn
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Xiaodong Yang
  7. Navneet Dalal
  8. Takeo Kanade
  9. Yoshua Bengio
  10. Fernando De la Torre

Who trusts Mohammad H. Mahoor overall

  1. Shan Li
  2. Tadas Baltrusaitis
  3. Ali Mollahosseini
  4. ByoungChul Ko
  5. Pichao Wang
  6. Jiabei Zeng
  7. Weihong Deng
  8. Yong Li
  9. Liliana Lo Presti
  10. Steven C. Y. Hung

Papers from Mohammad H. Mahoor's perspective

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

Their papers