Babak Falsafi

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 10 papers; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Babak Falsafi trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Yoshua Bengio
  4. Gao Huang
  5. Geoffrey E. Hinton

Who trusts Babak Falsafi overall

  1. Daniel Sánchez
  2. Kai Li
  3. Michael Zhang

Papers from Babak Falsafi's perspective

Ordered by how strongly the researchers Babak Falsafi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers