Emmanuel Okafor

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emmanuel Okafor trusts overall

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

  1. Grégory Rogez
  2. Christoforos C. Charalambous
  3. Christian Szegedy
  4. Cordelia Schmid
  5. Hoo-Chang Shin
  6. Adrian Galdran
  7. Anil Anthony Bharath
  8. Navneet Dalal
  9. Geoffrey E. Hinton
  10. Ilya Sutskever

Papers from Emmanuel Okafor's perspective

Ordered by how strongly the researchers Emmanuel Okafor 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. Going deeper with convolutions
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Histograms of oriented gradients for human detection
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers