Marc Schlipsing

Computer Vision and Pattern Recognition · 2011–2013

A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Schlipsing trusts overall

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

  1. Pierre Sermanet
  2. Paul A. Viola
  3. Yann LeCun
  4. Dan Claudiu Ciresan
  5. Navneet Dalal
  6. Siwei Lyu
  7. Nicolas Pinto
  8. Trevor J. Hastie
  9. Henrique S. Malvar
  10. Geoffrey E. Hinton

Who trusts Marc Schlipsing overall

  1. Garrett Wilson
  2. Dan Claudiu Ciresan
  3. Jaehong Yoon
  4. Nicolas Papernot
  5. Matthias Hein
  6. J. Urgen Schmidhuber
  7. Xuejian Rong
  8. Diane Joyce Cook
  9. Sebastian Szyller
  10. Markus Mathias

Papers from Marc Schlipsing's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Histograms of oriented gradients for human detection
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers