M. Uyttendaele

Computer Vision and Pattern Recognition · 2001–2022

A researcher in the Science corpus: 8 papers; trusts 110 researchers and is trusted by 298 researchers here, as inferred from the citation graph.

Subfields

Whom M. Uyttendaele trusts overall

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

  1. Richard Szeliski
  2. Anders Heyden
  3. Sing Bing Kang
  4. Raanan Fattal
  5. Dani Lischinski
  6. Kaiming He
  7. Marc Pollefeys
  8. Aseem Agarwala
  9. Anat Levin
  10. Geoffrey E. Hinton

Who trusts M. Uyttendaele overall

  1. Anat Levin
  2. Kaiming He
  3. Richard Szeliski
  4. Matthew A. Brown
  5. Huikai Wu
  6. Heiko Hirschmüller
  7. Assaf Zomet
  8. Patrick Gage Kelley
  9. Shahram Izadi
  10. Xiaoou Tang

Papers from M. Uyttendaele's perspective

Ordered by how strongly the researchers M. Uyttendaele 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. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers