Bertram Taetz

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Bertram Taetz trusts overall

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

  1. Thomas Brox
  2. Philippe Weinzaepfel
  3. Jérôme Revaud
  4. Yasutaka Furukawa
  5. Ce Liu
  6. Deqing Sun
  7. Andreas Geiger
  8. Linchao Bao
  9. Geoffrey E. Hinton
  10. Connelly Barnes

Who trusts Bertram Taetz overall

  1. David Gadot
  2. Simon Niklaus
  3. Stephan R. Richter
  4. Yi Zhu
  5. Shenlong Wang
  6. Jamie Watson
  7. René Schuster
  8. Federico Perazzi
  9. Eddy Ilg

Papers from Bertram Taetz's perspective

Ordered by how strongly the researchers Bertram Taetz 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers