Jonathan Granskog

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 101 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it; #18,303 of 21,575 by trust here, #10,154 by citations
• Generative Models — 36 citations into it

Whom Jonathan Granskog trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Ting-Chun Wang
8. Yann LeCun
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Jonathan Granskog overall

1. Ying Shan
2. Xintao Wang

Papers from Jonathan Granskog's perspective

Ordered by how strongly the researchers Jonathan Granskog 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Structure and Content-Guided Video Synthesis with Diffusion Models (2023) — 760 citations