Marco Reisert

with Burkhardt · 2009

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

Whom Marco Reisert trusts overall

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

  1. Pietro Perona
  2. Jan-Mark Geusebroek
  3. Arnold M. W. Smeulders
  4. William T. Freeman
  5. Joost van de Weijer

Papers from Marco Reisert's perspective

Ordered by how strongly the researchers Marco Reisert 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. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers