Viraj Shah

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 180 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #8,523 of 21,575 by trust here, #16,787 by citations
• Computational Mechanics — 13 citations into it; #3,196 of 10,001 by trust here, #6,582 by citations
• Generative Models — 11 citations into it; #809 of 1,956 by trust here, #1,681 by citations
• Media Technology — 6 citations into it

Whom Viraj Shah trusts overall

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

1. E.J. Candes
2. Diederik P. Kingma
3. Yann LeCun
4. Ali Mousavi
5. Michael Elad
6. Richard Baraniuk
7. Michal Aharon
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Individualized Treat

Who trusts Viraj Shah overall

1. Ankit Raj
2. Rushil Anirudh
3. Qi Lei
4. Ajil Jalal
5. Minyoung Huh
6. Greg Ongie
7. Arvid Lundervold
8. Yuqi Li
9. Jayaraman J. Thiagarajan
10. Richard Zhang

Papers from Viraj Shah's perspective

Ordered by how strongly the researchers Viraj Shah 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. GENERATIVE ADVERSARIAL NETS
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees (2018) — 183 citations