Luke Melas-Kyriazi

Computer Vision and Pattern Recognition · with Laina · 2023

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Luke Melas-Kyriazi trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Thu Nguyen-Phuoc
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Jonathan Ho
  8. Yang Song
  9. Matheus Gadelha
  10. Ilya Sutskever

Who trusts Luke Melas-Kyriazi overall

  1. Peng Wang
  2. Stanislaw Szymanowicz
  3. Yuan Liu
  4. Jiaxiang Tang
  5. Minghua Liu
  6. Lukas Höllein
  7. Xiaoxiao Long
  8. Ruoshi Liu
  9. Kyle Gao
  10. Zi-Xin Zou

Papers from Luke Melas-Kyriazi's perspective

Ordered by how strongly the researchers Luke Melas-Kyriazi 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers