Jeremy Schiff

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy Schiff trusts overall

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

  1. David G. Lowe
  2. Jerome H. Friedman
  3. Dar-Shyang Lee
  4. Yoav Freund
  5. Lubomir D. Bourdev
  6. Ron Kohavi
  7. Robert E. Schapire
  8. Andreas Opelt
  9. Raphaël Féraud
  10. Andrew W. Senior

Who trusts Jeremy Schiff overall

  1. Nisarg Raval

Papers from Jeremy Schiff's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Going deeper with convolutions
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers