Jonathon Luiten

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 7 papers; trusts 1,098 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathon Luiten trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Tsung-Yi Lin
  6. Diederik P. Kingma
  7. Piotr Doll'ar
  8. Yoshua Bengio
  9. Yann LeCun
  10. Shaoqing Ren

Who trusts Jonathon Luiten overall

  1. Gedas Bertasius
  2. Hidenobu Matsuki
  3. Minghan Qin
  4. Jiaxiang Tang
  5. Wenlong Huang
  6. Ziyi Yang
  7. Lorenzo Torresani
  8. Shenhan Qian
  9. Gerard Maggiolino
  10. Tianyi Xie

Papers from Jonathon Luiten's perspective

Ordered by how strongly the researchers Jonathon Luiten 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers