Michael Goesele

Computer Vision and Pattern Recognition · 2003–2021

A researcher in the Science corpus: 8 papers; trusts 205 researchers and is trusted by 370 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Goesele trusts overall

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

  1. David G. Lowe
  2. Brian Curless
  3. S. M. Seitz
  4. Carlos Hernández Esteban
  5. Richard Szeliski
  6. Daniel Scharstein
  7. Vladimir Kolmogorov
  8. M. Kazhdan
  9. Matthew A. Brown
  10. Francis J. M. Schmitt

Who trusts Michael Goesele overall

  1. Yasutaka Furukawa
  2. Benjamin Ummenhofer
  3. Carlos Hernández
  4. Yebin Liu
  5. Victor S. Lempitsky
  6. Johannes L. Schönberger
  7. Neill D. F. Campbell
  8. S. M. Seitz
  9. Thomas Brox
  10. Gabriella Csurka

Papers from Michael Goesele's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers