Kara-Ali Aliev

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 160 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Generative Models — 11 citations into it
• Computer Graphics and Computer-Aided Design — 9 citations into it
• Aerospace Engineering — 8 citations into it
• 3D Vision & Pose — 6 citations into it
• Media Technology — 5 citations into it

Whom Kara-Ali Aliev trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Alexey Dosovitskiy
4. Geoffrey E. Hinton
5. David G. Lowe
6. Alex Krizhevsky
7. Andrew Zisserman
8. Yann LeCun
9. Jimmy Ba
10. Kaiming He

Who trusts Kara-Ali Aliev overall

1. Gernot Riegler
2. Christian Reiser
3. Zekun Hao
4. Ricardo Martin-Brualla
5. Olivia Wiles
6. Sida Peng
7. J. Lee
8. Lingjie Liu
9. Julian Ost
10. Stephen Lombardi

Papers from Kara-Ali Aliev's perspective

Ordered by how strongly the researchers Kara-Ali Aliev 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Neural Point-Based Graphics (2019) — 496 citations