Agisilaos Chartsias

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it; #18,885 of 21,575 by trust here, #12,689 by citations
• Artificial Intelligence — 29 citations into it; #31,465 of 35,345 by trust here, #27,551 by citations
• Generative Models — 20 citations into it
• Model Architectures — 9 citations into it

Whom Agisilaos Chartsias trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Ilya Sutskever
7. Jimmy Ba
8. Kaiming He
9. Pascal Vincent
10. Andrew L. Maas

Who trusts Agisilaos Chartsias overall

1. Onat Dalmaz
2. Maciej A. Mazurowski
3. Mahmut Yurt
4. Tao Zhou
5. Amirhossein Kazerouni
6. Salman Ul Hassan Dar
7. Salome Kazeminia
8. S. Kevin Zhou
9. Tolga Cukur
10. Mateusz Buda

Papers from Agisilaos Chartsias's perspective

Ordered by how strongly the researchers Agisilaos Chartsias 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Disentangled representation learning in cardiac image analysis (2019) — 168 citations
• Factorised spatial representation learning: application in semi-supervised myocardial segmentation (2018) — 77 citations
• Multimodal MR Synthesis via Modality-Invariant Latent Representation (2017) — 347 citations