Jürg Portmann

2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jürg Portmann trusts overall

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

  1. Yoav Freund
  2. Robert E. Schapire
  3. Navneet Dalal

Who trusts Jürg Portmann overall

  1. Zheng Wu
  2. Soonmin Hwang
  3. Nathan W. Fuller
  4. Jaesik Park

Papers from Jürg Portmann's perspective

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

  1. Histograms of oriented gradients for human detection
  2. Object Detection with Discriminatively Trained Part Based Models
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. A decision-theoretic generalization of on-line learning and an application to boosting
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers