Frank Steinbrücker

Computer Vision and Pattern Recognition · 2011–2014

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Steinbrücker trusts overall

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

  1. Jürgen Sturm
  2. Andrew J. Davison
  3. Christian Kerl
  4. Thomas Whelan
  5. Brian Curless
  6. Georg S. W. Klein
  7. Simon Fuhrmann
  8. Marc Levoy
  9. Daniel Cremers
  10. Szymon Rusinkiewicz

Who trusts Frank Steinbrücker overall

  1. Thomas Whelan
  2. Christian Kerl
  3. Olaf Kähler
  4. Jürgen Sturm
  5. Tomas Hodan
  6. Chengzhou Tang
  7. Jacopo Serafin
  8. Jaesik Park
  9. Takafumi Taketomi
  10. Mateusz Michalkiewicz

Papers from Frank Steinbrücker's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. A volumetric method for building complex models from range images
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. KinectFusion: Real-time dense surface mapping and tracking
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. A Method for Registration of 3-D Shapes
  8. Parallel Tracking and Mapping for Small AR Workspaces
  9. RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments (International Symposium on Experimental Robotics)
  10. Marching cubes: A high resolution 3D surface construction algorithm

Their papers