Amir Safiullin

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Amir Safiullin trusts overall

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

1. Karen Simonyan
2. Heung-Il Suk
3. Kaiming He
4. Andrew Zisserman

Who trusts Amir Safiullin overall

1. Senzhang Wang
2. Jun Zhang
3. Justin Ker

Papers from Amir Safiullin's perspective

Ordered by how strongly the researchers Amir Safiullin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Visualizing and Understanding Convolutional Networks
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Learning Multiple Layers of Features from Tiny Images
8. Identity Mappings in Deep Residual Networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Residual and plain convolutional neural networks for 3D brain MRI classification (2017) — 446 citations