S. Nikolopoulos

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 420 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 105 citations into it
• Artificial Intelligence — 45 citations into it
• Aerospace Engineering — 31 citations into it
• Model Architectures — 28 citations into it
• Optimization & Training — 25 citations into it
• Computational Mechanics — 23 citations into it
• Geology — 16 citations into it
• Media Technology — 14 citations into it

Whom S. Nikolopoulos trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Kaiming He
4. Alex Krizhevsky
5. Yann LeCun
6. Ilya Sutskever
7. J. Urgen Schmidhuber
8. David G. Lowe
9. Alex Graves
10. Christian Szegedy

Papers from S. Nikolopoulos's perspective

Ordered by how strongly the researchers S. Nikolopoulos 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. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Learning Advances in Computer Vision with 3D Data (2017) — 347 citations