Thabo Beeler

Computer Vision and Pattern Recognition · 2010–2020

A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Thabo Beeler trusts overall

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

  1. David G. Lowe
  2. Daniel Scharstein
  3. S. M. Seitz
  4. M. Kazhdan
  5. Richard Szeliski
  6. Diederik P. Kingma
  7. Kaiming He
  8. Oliver J. Woodford
  9. Geoffrey E. Hinton
  10. Paul C. Merrell

Who trusts Thabo Beeler overall

  1. Ira Kemelmacher-Shlizerman
  2. Hanbyul Joo
  3. Pablo Garrido
  4. Shahram Izadi
  5. Michael Zollhöfer
  6. Derek Bradley
  7. Hao Li
  8. Matan Sela
  9. Samuli Laine
  10. Andreas Geiger

Papers from Thabo Beeler's perspective

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

Their papers