Athanasios Voulodimos

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 219 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Artificial Intelligence — 24 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Model Architectures — 8 citations into it
• Signal Processing — 8 citations into it
• Generative Models — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Athanasios Voulodimos 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. Ilya Sutskever
9. Diederik P. Kingma
10. Hugo Larochelle

Who trusts Athanasios Voulodimos overall

1. Tausif Diwan
2. Andrei-Alexandru Tulbure
3. L. Dang
4. Changyang She
5. Chunying Wang
6. Shibo Zhang
7. Grandhi Sai Anirudh
8. Adrian-Alexandru Tulbure

Papers from Athanasios Voulodimos's perspective

Ordered by how strongly the researchers Athanasios Voulodimos 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Learning for Computer Vision: A Brief Review (2018) — 3,350 citations