Michael Möller

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Möller trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Jimmy Ba
  6. Karen Simonyan
  7. Yann LeCun
  8. A. Buades
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Michael Möller overall

  1. Kai Zhang
  2. Jonas Adler
  3. Wangmeng Zuo
  4. Chong Mou
  5. Vishal Monga
  6. Siavash Arjomand Bigdeli
  7. Chunwei Tian

Papers from Michael Möller's perspective

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

Their papers