Greg Ongie

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Computational Mechanics — 40 citations into it
• Generative Models — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Optimization & Training — 7 citations into it

Whom Greg Ongie trusts overall

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

1. Diederik P. Kingma
2. David L. Donoho
3. Yann LeCun
4. Geoffrey E. Hinton
5. Ashish Bora
6. Kai Zhang
7. Individualized Treat
8. Karol Gregor
9. Alex Krizhevsky
10. Jimmy Ba

Who trusts Greg Ongie overall

1. Ajil Jalal
2. Fahad Shamshad
3. Giannis Daras

Papers from Greg Ongie's perspective

Ordered by how strongly the researchers Greg Ongie 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. 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. GENERATIVE ADVERSARIAL NETS
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Learning Techniques for Inverse Problems in Imaging (2020) — 670 citations