Johannes Rückert

Computer Vision and Pattern Recognition · 2018

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

Subfields

Whom Johannes Rückert trusts overall

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

  1. Alex Krizhevsky

Who trusts Johannes Rückert overall

  1. Sedigheh Eslami

Papers from Johannes Rückert's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Microsoft COCO: Common Objects in Context
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Deep Learning
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  10. ImageNet: A large-scale hierarchical image database

Their papers