Christian Schüldt

Signal Processing · 2004–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2,551 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Schüldt trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. Ivan Laptev
  3. Christian Wallraven
  4. Yi Luo
  5. Y. Hu
  6. Jonathan Le Roux
  7. Barbara Caputo
  8. Santiago Pascual
  9. Daniel Stoller
  10. Geoffrey E. Hinton

Who trusts Christian Schüldt overall

  1. Ivan Laptev
  2. Limin Wang
  3. Michael S. Ryoo
  4. Antonio Torralba
  5. Luc Van Gool
  6. Cordelia Schmid
  7. Martial Hebert
  8. Yu Qiao
  9. Li Fei-Fei
  10. Juan Carlos Niebles

Papers from Christian Schüldt's perspective

Ordered by how strongly the researchers Christian Schüldt 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers