Narek Tumanyan

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #18,714 of 21,575 by trust here, #13,269 by citations
• Generative Models — 31 citations into it

Whom Narek Tumanyan trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jun-Yan Zhu
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Jonathan Ho
8. Alec Radford
9. Ilya Sutskever
10. Yann LeCun

Who trusts Narek Tumanyan overall

1. Omer Bar-Tal
2. Michal Geyer
3. D. Epstein
4. Shaoteng Liu
5. Elad Richardson
6. Guangxuan Xiao
7. Ming Cao
8. Chenyang Qi
9. Junyi Zhang
10. Shelly Sheynin

Papers from Narek Tumanyan's perspective

Ordered by how strongly the researchers Narek Tumanyan 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation (2022) — 1,092 citations