Matthias Zwicker

Computer Vision and Pattern Recognition · 2000–2019

A researcher in the Science corpus: 13 papers; trusts 627 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Zwicker trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Karen Simonyan
  7. Yann LeCun
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Andrew Zisserman

Who trusts Matthias Zwicker overall

  1. Mark Pauly
  2. Yifan Wang
  3. Olga Sorkine-Hornung
  4. Nina Amenta
  5. Leif Kobbelt
  6. Niloy J. Mitra
  7. Kai Zhang
  8. Thouis Raymond Jones
  9. Kun Zhou
  10. Markus H. Gross

Papers from Matthias Zwicker's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers