Vegard Antun

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 10 citations into it
• Computational Mechanics — 10 citations into it
• Biomedical Engineering — 5 citations into it

Whom Vegard Antun trusts overall

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

1. Diederik P. Kingma
2. Gitta Kutyniok
3. Karen Simonyan
4. E.J. Candes
5. Stefan Roth
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Ewout van den Berg
9. Andrew Zisserman
10. Jimmy Ba

Papers from Vegard Antun's perspective

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

Their papers

• On instabilities of deep learning in image reconstruction and the potential costs of AI (2019) — 736 citations