Baback Moghaddam

Computer Vision and Pattern Recognition · 2000–2009

A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 212 researchers here, as inferred from the citation graph.

Subfields

Whom Baback Moghaddam trusts overall

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

  1. Mark A. Kramer
  2. Peter N. Belhumeur
  3. Vladimir Naumovich Vapni
  4. Michael E. Tipping
  5. Brendan J. Frey
  6. Matthew A. Turk
  7. Geoffrey E. Hinton
  8. Bernhard Schölkopf
  9. Albert Y. Kim
  10. João Pedra Hespanha

Who trusts Baback Moghaddam overall

  1. Xiaogang Wang
  2. Shaohua Kevin Zhou
  3. Caifeng Shan
  4. Ming Li
  5. Kristen Grauman
  6. Xiaoou Tang
  7. Xudong Jiang
  8. Shuicheng Yan
  9. Xiaofei He
  10. Ramalingam Chellappa

Papers from Baback Moghaddam's perspective

Ordered by how strongly the researchers Baback Moghaddam 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers