Timur M. Bagautdinov

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 9 citations into it
• Generative Models — 7 citations into it

Whom Timur M. Bagautdinov trusts overall

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

1. Diederik P. Kingma
2. Volker Blanz
3. Elad Richardson
4. Olga Sorkine-Hornung
5. Max Welling
6. Olaf Ronneberger
7. Jimmy Ba
8. Jason M. Saragih
9. Geoffrey E. Hinton
10. Shih-En Wei

Who trusts Timur M. Bagautdinov overall

1. Matan Atzmon
2. Haotian Yang
3. Yaron Lipman

Papers from Timur M. Bagautdinov's perspective

Ordered by how strongly the researchers Timur M. Bagautdinov 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. GENERATIVE ADVERSARIAL NETS
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. Going deeper with convolutions
9. Long Short-Term Memory
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Modeling Facial Geometry Using Compositional VAEs (2018) — 119 citations