Oier Mees

Computer Vision and Pattern Recognition · 2017–2025

A researcher in the Science corpus: 9 papers; trusts 274 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Oier Mees trusts overall

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

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

Who trusts Oier Mees overall

  1. Moritz Reuss
  2. Kevin Black
  3. Hongtao Wu
  4. Xinghang Li
  5. Andreas Eitel
  6. Mohit Shridhar
  7. O. Team
  8. Wolfram Burgard
  9. Maximilian Xiling Li
  10. Ted Xiao

Papers from Oier Mees's perspective

Ordered by how strongly the researchers Oier Mees 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers