Mark Edmonds

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 145 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 78 citations into it; #16,860 of 21,575 by trust here, #20,756 by citations
• Artificial Intelligence — 55 citations into it

Whom Mark Edmonds trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Andrew Zisserman
6. David G. Lowe
7. Yann LeCun
8. Kaiming He
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Mark Edmonds overall

1. Quanshi Zhang

Papers from Mark Edmonds's perspective

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

Their papers

• Interactively Transferring CNN Patterns for Part Localization (2017) — 16 citations
• Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020) — 152 citations