Sergios Gatidis

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #20,569 of 21,575 by trust here, #14,478 by citations
• Artificial Intelligence — 48 citations into it; #33,724 of 35,345 by trust here, #21,316 by citations
• Generative Models — 29 citations into it
• Evaluation & Benchmarks — 13 citations into it

Whom Sergios Gatidis trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Alex Krizhevsky

Who trusts Sergios Gatidis overall

1. Sergey I. Nikolenko

Papers from Sergios Gatidis's perspective

Ordered by how strongly the researchers Sergios Gatidis 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. GENERATIVE ADVERSARIAL NETS
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Adapted large language models can outperform medical experts in clinical text summarization (2023) — 793 citations
• Automated reference-free detection of motion artifacts in magnetic resonance images (2018) — 100 citations
• MedGAN: Medical Image Translation using GANs (2018) — 709 citations