Marius Arvinte

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Generative Models — 16 citations into it

Whom Marius Arvinte trusts overall

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

1. Yang Song
2. Zhou Wang
3. Diederik P. Kingma
4. Ashish Bora
5. Ajil Jalal
6. Michael Lustig
7. Muhammad Asim
8. Stefano Ermon
9. Geoffrey E. Hinton

Who trusts Marius Arvinte overall

1. Hyungjin Chung

Papers from Marius Arvinte's perspective

Ordered by how strongly the researchers Marius Arvinte 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Robust Compressed Sensing MRI with Deep Generative Priors (2021) — 470 citations