Thomas Höllt

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Höllt trusts overall

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

  1. L. V. D. van der Maaten
  2. Geoffrey E. Hinton
  3. Vin de Silva
  4. Josh Tenenbaum
  5. Yann LeCun
  6. Nicola Pezzotti
  7. Sam T. Roweis
  8. David G. Lowe
  9. Alex Krizhevsky
  10. Marius Muja

Who trusts Thomas Höllt overall

  1. Nicola Pezzotti
  2. Anna C. Belkina

Papers from Thomas Höllt's perspective

Ordered by how strongly the researchers Thomas Höllt trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers