C. Buerhop‐Lutz

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom C. Buerhop‐Lutz trusts overall

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

  1. David G. Lowe
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. L. V. D. van der Maaten
  5. Andrew Zisserman
  6. Ross B. Girshick
  7. Andrea Vedaldi
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Yoshua Bengio

Papers from C. Buerhop‐Lutz's perspective

Ordered by how strongly the researchers C. Buerhop‐Lutz trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers