Christoph Schied

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Christoph Schied trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. J. Urgen Schmidhuber
  7. Kaiming He
  8. Paul J. Werbos
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Christoph Schied overall

  1. Zehao Yu
  2. Jiaxiang Tang
  3. Anpei Chen
  4. Antoine Guédon
  5. Jonathan T. Barron
  6. Ang Cao
  7. Hengyi Wang
  8. Zhiwen Fan
  9. Zhipeng Cai

Papers from Christoph Schied's perspective

Ordered by how strongly the researchers Christoph Schied 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers