Stamatios Georgoulis

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 9 papers; trusts 1,341 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 346 citations into it; #14,866 of 21,575 by trust here, #5,013 by citations
• Artificial Intelligence — 222 citations into it; #29,389 of 35,345 by trust here, #15,542 by citations
• Representation & Self-Supervised Learning — 84 citations into it
• Model Architectures — 45 citations into it
• Efficiency & Compression — 42 citations into it
• Generative Models — 35 citations into it
• Optimization & Training — 33 citations into it
• Media Technology — 27 citations into it

Whom Stamatios Georgoulis trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Diederik P. Kingma
6. Yoshua Bengio
7. Karen Simonyan
8. Yann LeCun
9. Andrew Zisserman
10. Ilya Sutskever

Who trusts Stamatios Georgoulis overall

1. Michael Crawshaw
2. Menelaos Kanakis
3. Simon Vandenhende

Papers from Stamatios Georgoulis's perspective

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

• Disentangled Person Image Generation (2017) — 458 citations
• Learning To Classify Images Without Labels (2020) — 677 citations
• Exemplar Guided Unsupervised Image-to-Image Translation (2018) — 146 citations
• Fast Scene Understanding for Autonomous Driving (2017) — 77 citations
• Towards End-to-End Lane Detection: an Instance Segmentation Approach (2018) — 804 citations
• MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning (2020) — 299 citations
• Multi-Task Learning for Dense Prediction Tasks: A Survey (2020) — 994 citations
• T-Basis: a Compact Representation for Neural Networks (2020) — 32 citations
• Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference (2020) — 83 citations