Anders Kaestner

Computer Vision and Pattern Recognition · 2008–2019

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Anders Kaestner trusts overall

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

  1. Richard A. Ketcham
  2. Stanley J. Osher
  3. Graham W. Taylor
  4. Hans-Jörg Vogel
  5. D. Wildenschild
  6. Nikos Paragios
  7. Florian Nebout

Who trusts Anders Kaestner overall

  1. M. Porter
  2. P. Iassonov
  3. Steffen Schlüter
  4. S. Hapca
  5. D. Wildenschild
  6. T. Gebrenegus
  7. Adrian P. Sheppard
  8. Alasdair N. Houston

Papers from Anders Kaestner's perspective

Ordered by how strongly the researchers Anders Kaestner 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. Quantitative Analysis of Flow Processes in a Sand Using Synchrotron‐Based X‐ray Microtomography (Vadose Zone Journal)
  4. Gradient-based learning applied to document recognition
  5. Techniques for image enhancement and segmentation of tomographic images of porous materials
  6. Computational methods for quantitative analysis of three-dimensional features in geological specimens
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. A Threshold Selection Method from Gray-Level Histograms
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers