Vladimir Kulikov

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Generative Models — 16 citations into it
• Artificial Intelligence — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Vladimir Kulikov trusts overall

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

1. Jonathan Ho
2. Prafulla Dhariwal
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Jiaming Song
7. Yoshua Bengio
8. Alex Nichol
9. Kaiming He
10. Yann LeCun

Papers from Vladimir Kulikov's perspective

Ordered by how strongly the researchers Vladimir Kulikov 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Gradient-based learning applied to document recognition
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• An Edit Friendly DDPM Noise Space: Inversion and Manipulations (2023) — 297 citations