Martin Johns

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Safety, Robustness & Interpretability — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Signal Processing — 7 citations into it

Whom Martin Johns trusts overall

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

1. Battista Biggio
2. David G. Lowe
3. Karen Simonyan
4. Jessica J. Fridrich

Papers from Martin Johns's perspective

Ordered by how strongly the researchers Martin Johns trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet Large Scale Visual Recognition Challenge
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Intriguing properties of neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning (2020) — 83 citations