Simon Niedermayr

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Niedermayr trusts overall

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

  1. Peter Hedman
  2. Jonathan T. Barron
  3. Mohammad Rastegari
  4. Ben Mildenhall
  5. Vicente Ordonez
  6. Julien Philip

Papers from Simon Niedermayr's perspective

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

Their papers