Marc Ph. Stoecklin

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Ph. Stoecklin trusts

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

  1. Ali M. Al-Haj (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Marc Ph. Stoecklin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Long Short-Term Memory
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. GradientBased Learning Applied to Document Recognition
  6. Visualizing and Understanding Convolutional Networks
  7. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
  8. How transferable are features in deep neural networks?
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers