Nikolaos Sarafianos

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 376 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 72 citations into it
• Artificial Intelligence — 30 citations into it
• Human-Computer Interaction — 16 citations into it
• Control and Systems Engineering — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Nikolaos Sarafianos trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Karen Simonyan
5. Pedro F. Felzenszwalb
6. Deva Ramanan
7. Ilya Sutskever
8. Kaiming He
9. Yann LeCun
10. Andrew Zisserman

Who trusts Nikolaos Sarafianos overall

1. Saeid Motiian
2. Ce Zheng
3. Q. Jones
4. Xingyi Zhou
5. Georgios Pavlakos
6. Xiao Sun

Papers from Nikolaos Sarafianos's perspective

Ordered by how strongly the researchers Nikolaos Sarafianos 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• 3D Human pose estimation: A review of the literature and analysis of covariates (2016) — 331 citations
• Adaptive SVM+: Learning with Privileged Information for Domain Adaptation (2017) — 25 citations