Thorsten Beier

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Thorsten Beier trusts overall

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

  1. Vladimir Kolmogorov
  2. Marina Meila
  3. Björn Andres
  4. Carsten Rother
  5. Nikos Komodakis
  6. Jörg H. Kappes
  7. Sebastian Nowozin
  8. Timo Koski
  9. Yuri Boykov
  10. Monique Laurent

Who trusts Thorsten Beier overall

  1. Thorben Kröger
  2. Margret Keuper
  3. Rahul G. Krishnan
  4. Evgeny Levinkov
  5. Jörg H. Kappes
  6. Sebastian Nowozin
  7. Natalia Neverova
  8. Xiangru Huang
  9. Justin Johnson

Papers from Thorsten Beier's perspective

Ordered by how strongly the researchers Thorsten Beier 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers