Luke Melas-Kyriazi

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 190 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #21,547 of 21,575 by trust here, #17,258 by citations
• Model Architectures — 7 citations into it

Whom Luke Melas-Kyriazi trusts overall

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

1. Jia Deng
2. Hugo Touvron
3. Ashish Vaswani
4. Kaiming He
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Alexey Dosovitskiy
8. Byeongho Heo
9. Haiping Wu
10. Ze Liu

Who trusts Luke Melas-Kyriazi overall

1. Greg Yang
2. J. Edward Hu
3. Xiangning Chen
4. Yufei Xu
5. Hanxiao Liu
6. Igor Babuschkin
7. Alaaeldin El-Nouby

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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet (2021) — 119 citations