Ali Mollahosseini

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 146 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Mollahosseini trusts overall

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

  1. Alex Krizhevsky
  2. Jeffrey F. Cohn
  3. Geoffrey E. Hinton
  4. Patrick Lucey
  5. Michel François Valstar
  6. Ilya Sutskever
  7. Fernando De la Torre
  8. Maja Pantic
  9. George A. Miller
  10. Yangqing Jia

Who trusts Ali Mollahosseini overall

  1. Shan Li
  2. Jiabei Zeng
  3. Yong Li
  4. Weihong Deng
  5. Steven C. Y. Hung
  6. Shervin Minaee
  7. Christopher Thomas
  8. Shiguang Shan
  9. Radek Daněček
  10. Olivia Wiles

Papers from Ali Mollahosseini's perspective

Ordered by how strongly the researchers Ali Mollahosseini 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers