Eno Töppe

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Eno Töppe trusts overall

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

  1. Vladimir Kolmogorov
  2. Thomas Pock
  3. Julian Besag
  4. Yuri Boykov
  5. Tomáš Werner
  6. Christian Michelot
  7. Martin J. Wainwright
  8. Antonin Chambolle
  9. Richard Szeliski
  10. Daniel Cremers

Who trusts Eno Töppe overall

  1. João Carreira
  2. Massimo Minervini
  3. Hanno Scharr
  4. Sara Alexandra Gomes Vicente
  5. Andreas Fischbach

Papers from Eno Töppe's perspective

Ordered by how strongly the researchers Eno Töppe 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. 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. Fast approximate energy minimization via graph cuts
  8. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  9. Long Short-Term Memory
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers