P. Kickingereder

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom P. Kickingereder trusts overall

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

  1. Kaiming He
  2. Olaf Ronneberger
  3. Diederik P. Kingma
  4. Konstantinos Kamnitsas
  5. Fausto Milletarì
  6. Geoffrey E. Hinton
  7. Evan Shelhamer
  8. X. Zhang
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts P. Kickingereder overall

  1. Fabian Isensee
  2. Reza Azad
  3. Ling Zhang
  4. Yin Dai
  5. Tongxue Zhou
  6. Paul F. Jaeger

Papers from P. Kickingereder's perspective

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

Their papers