Charles E. Martin

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 305 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Artificial Intelligence — 34 citations into it
• Graph Learning — 11 citations into it
• Model Architectures — 11 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Charles E. Martin trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Matthew D. Zeiler
8. Yann LeCun
9. Yoshua Bengio
10. Christian Szegedy

Papers from Charles E. Martin's perspective

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

Their papers

• Explaining Distributed Neural Activations via Unsupervised Learning (2017) — 8 citations
• Explainability Methods for Graph Convolutional Neural Networks (2019) — 586 citations