Jonathan Zung

Computer Vision and Pattern Recognition · 2017

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 — 15 citations into it
• Artificial Intelligence — 10 citations into it

Whom Jonathan Zung trusts overall

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

1. Marina Meila
2. Vincent Dumoulin
3. Kaiming He
4. Pablo Arbeláez
5. Olaf Ronneberger
6. Fausto Milletarì
7. Tao Zeng
8. Yangqing Jia
9. Geoffrey E. Hinton

Papers from Jonathan Zung's perspective

Ordered by how strongly the researchers Jonathan Zung 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Superhuman Accuracy on the SNEMI3D Connectomics Challenge (2017) — 321 citations