Anastasios D. Doulamis

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 261 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Artificial Intelligence — 29 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Model Architectures — 9 citations into it
• Signal Processing — 8 citations into it
• Optimization & Training — 7 citations into it
• Generative Models — 5 citations into it

Whom Anastasios D. Doulamis trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ruslan Salakhutdinov
4. Yann LeCun
5. Alex Krizhevsky
6. Ross B. Girshick
7. Kaiming He
8. Diederik P. Kingma
9. Ilya Sutskever
10. Radford M. Neal

Who trusts Anastasios D. Doulamis overall

1. Swalpa Kumar Roy
2. Mengmeng Zhang
3. Lichao Mou

Papers from Anastasios D. Doulamis's perspective

Ordered by how strongly the researchers Anastasios D. Doulamis 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery (2021) — 99 citations
• Deep Learning for Computer Vision: A Brief Review (2018) — 3,350 citations
• Deep supervised learning for hyperspectral data classification through convolutional neural networks (2015) — 926 citations