Matthias Weigand

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Weigand trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Trevor Darrell (in Computer Vision and Pattern Recognition)
  4. Jonathan Long (in Computer Vision and Pattern Recognition)
  5. Evan Shelhamer (in Computer Vision and Pattern Recognition)

Papers from Matthias Weigand's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Fully convolutional networks for semantic segmentation
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. A Survey on Transfer Learning
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers