Dominik Scherer

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 71 researchers here, as inferred from the citation graph.

Subfields

Whom Dominik Scherer trusts overall

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

  1. Yann LeCun
  2. David G. Lowe
  3. Fu Jie Huang
  4. Martin A. Riedmiller
  5. Navneet Dalal
  6. Marc'Aurelio Ranzato
  7. Maximilian Riesenhuber
  8. David H. Hubel
  9. L. Eon Bottou
  10. Tomaso A. Poggio

Who trusts Dominik Scherer overall

  1. J. Urgen Schmidhuber
  2. Dan Claudiu Ciresan
  3. Ueli Meier
  4. Richard Zhang
  5. Yanming Guo
  6. Jan Koutník
  7. David Stutz
  8. Tom Brosch
  9. Mikko Haavisto
  10. Adam Coates

Papers from Dominik Scherer's perspective

Ordered by how strongly the researchers Dominik Scherer 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers