Boris Schauerte

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 2 papers; trusts 53 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Boris Schauerte trusts overall

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

  1. Navneet Dalal
  2. Chih-Jen Lin
  3. Hema Swetha Koppula
  4. Naomi S. Altman
  5. Pedro F. Felzenszwalb
  6. Alex Smola
  7. Bill Triggs
  8. Thorsten Joachims
  9. Xiaofeng Ren
  10. George Eastman House

Who trusts Boris Schauerte overall

  1. Xucong Zhang
  2. Yusuke Sugano

Papers from Boris Schauerte's perspective

Ordered by how strongly the researchers Boris Schauerte 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. Gradient-based learning applied to document recognition
  4. Histograms of oriented gradients for human detection
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers