Gabriele Peters

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Gabriele Peters trusts overall

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

  1. Ondřej Chum
  2. John F. Canny
  3. Adam Baumberg
  4. Christopher Evans
  5. Jianbo Shi
  6. Jiri Matas
  7. David G. Lowe
  8. Arthur P. Dempster
  9. Andrew Zisserman
  10. Carlo Tomasi

Who trusts Gabriele Peters overall

  1. JunYoung Gwak
  2. Christopher Bongsoo Choy

Papers from Gabriele Peters's perspective

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

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

Their papers