Alexander Andreopoulos

Computer Vision and Pattern Recognition · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 855 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 167 citations into it; #8,264 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 41 citations into it
• Aerospace Engineering — 18 citations into it
• Media Technology — 18 citations into it
• Cognitive Neuroscience — 12 citations into it
• Evaluation & Benchmarks — 10 citations into it
• Model Architectures — 9 citations into it
• Biomedical Engineering — 8 citations into it; #4,559 of 10,734 by trust here, #9,794 by citations

Whom Alexander Andreopoulos trusts overall

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

1. David G. Lowe
2. Andrew Zisserman
3. Antonio Torralba
4. Rob Fergus
5. Geoffrey E. Hinton
6. Cordelia Schmid
7. Alex Krizhevsky
8. Yann LeCun
9. Paul A. Viola
10. Kaiming He

Who trusts Alexander Andreopoulos overall

1. Gong Cheng
2. Tobias Heimann
3. Weiguang Ding
4. John K. Tsotsos
5. David H. Autor
6. Junwei Han
7. Graham W. Taylor
8. Hans-Peter Meinzer
9. Mahdi Biparva
10. Dinesh Jayaraman

Papers from Alexander Andreopoulos's perspective

Ordered by how strongly the researchers Alexander Andreopoulos 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• 50 Years of object recognition: Directions forward (2013) — 344 citations
• Convolutional networks for fast, energy-efficient neuromorphic computing (2016) — 763 citations
• A Low Power, Fully Event-Based Gesture Recognition System (2017) — 1,089 citations
• Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI (2008) — 348 citations