Martin Habbecke

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Habbecke trusts overall

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

  1. Krystian Mikolajczyk
  2. Simon Baker
  3. Maxime Lhuillier
  4. S. M. Seitz
  5. M. Kazhdan
  6. George Vogiatzis
  7. Jean-Philippe Pons
  8. Cordelia Schmid
  9. Iain Matthews
  10. Long Quan

Who trusts Martin Habbecke overall

  1. Yebin Liu
  2. Michael Krainin
  3. Mengqi Ji
  4. Armin Hornung
  5. Peter Henry
  6. Xun Cao
  7. Juergen Gall
  8. Kai M. Wurm
  9. Yasutaka Furukawa
  10. Xiaofeng Ren

Papers from Martin Habbecke's perspective

Ordered by how strongly the researchers Martin Habbecke 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. ImageNet classification with deep convolutional neural networks
  3. Distinctive Image Features from Scale-Invariant Keypoints
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers