Bernhard Jaeger

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 168 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Bernhard Jaeger trusts overall

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

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

Who trusts Bernhard Jaeger overall

  1. Daniel Dauner
  2. Pranav Singh Chib
  3. Hao Shao

Papers from Bernhard Jaeger's perspective

Ordered by how strongly the researchers Bernhard Jaeger 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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