Xavier Alameda-Pineda

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 8 papers; trusts 963 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Alameda-Pineda trusts overall

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

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

Who trusts Xavier Alameda-Pineda overall

  1. Zitong Yu
  2. Aliaksandr Siarohin
  3. Umur Aybars Ciftci
  4. Weixuan 'Vincent' Chen
  5. Yaojie Liu
  6. Michele Merler

Papers from Xavier Alameda-Pineda's perspective

Ordered by how strongly the researchers Xavier Alameda-Pineda trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers