Emiel Hoogeboom

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 9 papers; trusts 537 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Emiel Hoogeboom trusts overall

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

  1. Diederik P. Kingma
  2. Max Welling
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Jonathan Ho
  7. Aäron van den Oord
  8. Kaiming He
  9. Laurent Dinh
  10. Danilo Jimenez Rezende

Who trusts Emiel Hoogeboom overall

  1. Yang Song
  2. Sam Bond-Taylor
  3. Shifeng Zhang
  4. George Papamakarios
  5. Rianne van den Berg
  6. Eliya Nachmani
  7. Alexandros Graikos
  8. Zhiqing Sun
  9. Ting-Li Chen
  10. Xuezhe Ma

Papers from Emiel Hoogeboom's perspective

Ordered by how strongly the researchers Emiel Hoogeboom 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers