Christoffer Nellåker

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 154 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Christoffer Nellåker trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Alex Krizhevsky
  4. Navneet Dalal
  5. Geoffrey E. Hinton
  6. Kaiming He
  7. Davis E. King
  8. Andrea Vedaldi
  9. Ross B. Girshick
  10. Judy Hoffman

Who trusts Christoffer Nellåker overall

  1. Mei Wang
  2. Zaid Khan

Papers from Christoffer Nellåker's perspective

Ordered by how strongly the researchers Christoffer Nellåker 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers