Matthias Hofmann

Computer Vision and Pattern Recognition · with Charpiat · 2008

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Hofmann trusts overall

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

  1. Christopher K. I. Williams
  2. Vladimir Kolmogorov
  3. Christopher Evans
  4. Yuri Boykov
  5. Ramin Zabih
  6. Stefan Klöppel
  7. Richard Szeliski

Who trusts Matthias Hofmann overall

  1. Richard Zhang
  2. Alex Yong Sang Chia
  3. Raj Kumar Gupta
  4. Gustav Larsson
  5. Ke Li
  6. Zezhou Cheng
  7. Sergio Guadarrama
  8. Ninon Burgos

Papers from Matthias Hofmann's perspective

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

  1. Fast approximate energy minimization via graph cuts
  2. ImageNet classification with deep convolutional neural networks
  3. What energy functions can be minimized via graph cuts?
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
  6. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  7. A Comparative Study of Energy Minimization Methods for Markov Random Fields (European Conference on Computer Vision)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Gradient-based learning applied to document recognition

Their papers