Raif M. Rustamov

Computer Vision and Pattern Recognition · 2007–2013

A researcher in the Science corpus: 4 papers; trusts 41 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Computational Mechanics — 23 citations into it
• Computer Graphics and Computer-Aided Design — 18 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Artificial Intelligence — 6 citations into it; #17,357 of 35,345 by trust here, #25,809 by citations
• Graph Learning — 6 citations into it; #355 of 693 by trust here, #606 by citations

Whom Raif M. Rustamov trusts overall

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

1. Geoffrey E. Hinton
2. Ronald R. Coifman
3. Wim Sweldens
4. Yoshua Bengio
5. Mikhail Belkin
6. Michael S. Floater
7. Marc'Aurelio Ranzato
8. Robert Osada
9. Yann LeCun
10. Mark Crovella

Who trusts Raif M. Rustamov overall

1. Facundo M'emoli
2. Michael M. Bronstein
3. Emanuele Rodolà
4. A. Bronstein
5. J. Xie
6. Bruno Lévy
7. Saket Navlakha
8. Davide Boscaini
9. Yi Fang
10. Mathieu Aubry

Papers from Raif M. Rustamov's perspective

Ordered by how strongly the researchers Raif M. Rustamov 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. Gradient-based learning applied to document recognition
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Interior Distance Using Barycentric Coordinates (2009) — 53 citations
• Wavelets on Graphs via Deep Learning (2013) — 84 citations
• Map-based exploration of intrinsic shape differences and variability (2013) — 164 citations
• Laplace-Beltrami eigenfunctions for deformation invariant shape representation (2007) — 722 citations