Martin Bokeloh

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Bokeloh trusts overall

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

  1. M. Kazhdan
  2. Angela Dai
  3. Diederik P. Kingma
  4. Niloy J. Mitra
  5. Olga Sorkine-Hornung
  6. Sebastian Thrun
  7. Brian Curless

Who trusts Martin Bokeloh overall

  1. Angela Dai

Papers from Martin Bokeloh's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Et al
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers