A. Movsisyan

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Generative Models — 29 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom A. Movsisyan trusts overall

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

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

Papers from A. Movsisyan's perspective

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

Their papers

• Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators (2023) — 848 citations