Simon Denman

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 4 papers; trusts 202 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it; #17,335 of 35,345 by trust here, #13,544 by citations
• Computer Vision and Pattern Recognition — 54 citations into it; #10,834 of 21,575 by trust here, #9,872 by citations
• Radiology, Nuclear Medicine and Imaging — 18 citations into it
• Model Architectures — 15 citations into it
• Natural Language Processing — 7 citations into it

Whom Simon Denman trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ronald J. Williams
5. Yoshua Bengio
6. Ross B. Girshick
7. Karen Simonyan
8. Yann LeCun
9. Ilya Sutskever
10. Shaoqing Ren

Who trusts Simon Denman overall

1. Vishwanath A. Sindagi
2. Victor S. Lempitsky
3. Daniel Oñoro-Rubio
4. Carlos Arteta
5. Vishal M. Patel
6. Benjamin Lindemann
7. Andrew Zisserman
8. Xinkun Cao
9. Zhiheng Ma
10. Desen Zhou

Papers from Simon Denman's perspective

Ordered by how strongly the researchers Simon Denman 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
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

• Crowd Counting Using Multiple Local Features (2009) — 321 citations
• Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection (2017) — 361 citations
• Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar (2020) — 23 citations
• Deep Learning for Medical Anomaly Detection – A Survey (2020) — 426 citations