Katharina Muelling

Computer Vision and Pattern Recognition · with Oh · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Katharina Muelling trusts overall

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

  1. Hema Swetha Koppula
  2. Pete Trautman
  3. Stefano Pellegrini
  4. Alex Graves
  5. Mark Pfeiffer
  6. Alexandre Alahi
  7. Ashutosh Saxena

Who trusts Katharina Muelling overall

  1. Boris Ivanovic
  2. Javad Amirian
  3. Hangjie Yuan
  4. Ye Yuan
  5. Tim Salzmann
  6. Changan Chen
  7. Rohan Chandra
  8. Marco Pavone
  9. Cunjun Yu
  10. Pu Zhang

Papers from Katharina Muelling's perspective

Ordered by how strongly the researchers Katharina Muelling 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. Generating Sequences With Recurrent Neural Networks
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers