Thomas Gerig

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Gerig trusts overall

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

  1. Brian Amberg
  2. Jorge Nocedal
  3. David Kristjanson Duvenaud
  4. Thomas Vetter
  5. Volker Blanz
  6. Ronen Basri
  7. Brett Allen
  8. Reinhard Knothe
  9. Gary B. Huang
  10. Ralph Gross

Who trusts Thomas Gerig overall

  1. Sergey I. Nikolenko
  2. Shangzhe Wu
  3. Or Litany
  4. Yao Feng
  5. Yury Kartynnik
  6. Kyle Genova
  7. Erroll Wood
  8. Christian Rupprecht

Papers from Thomas Gerig's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. A Morphable Model For The Synthesis Of 3D Faces
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. A 3D Face Model for Pose and Illumination Invariant Face Recognition
  7. Expression invariant 3D face recognition with a Morphable Model
  8. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
  9. Learning Multiple Layers of Features from Tiny Images
  10. Optimal Step Nonrigid ICP Algorithms for Surface Registration (2007 IEEE Conference on Computer Vision and Pattern Recognition)

Their papers