Amy Loutfi

Computer Vision and Pattern Recognition · 2013–2016

A researcher in the Science corpus: 4 papers; trusts 260 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 59 citations into it; #17,879 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 48 citations into it; #21,274 of 35,345 by trust here, #12,083 by citations
• Representation & Self-Supervised Learning — 21 citations into it; #2,150 of 3,145 by trust here, #1,582 by citations
• Signal Processing — 19 citations into it; #4,368 of 7,572 by trust here, #1,669 by citations
• Model Architectures — 15 citations into it
• Media Technology — 14 citations into it
• Biomedical Engineering — 10 citations into it; #7,686 of 10,734 by trust here, #8,509 by citations
• Management Science and Operations Research — 9 citations into it

Whom Amy Loutfi trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Alex Krizhevsky
5. Ilya Sutskever
6. Marc'Aurelio Ranzato
7. Alex Graves
8. L. Eon Bottou
9. David G. Lowe
10. Honglak Lee

Who trusts Amy Loutfi overall

1. Omer Berat Sezer
2. Prabal Singh Verma

Papers from Amy Loutfi's perspective

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

Their papers

• Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) — 434 citations
• Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks (2016) — 313 citations
• A review of unsupervised feature learning and deep learning for time-series modeling (2014) — 1,187 citations
• A Review of Mobile Robotic Telepresence (2013) — 404 citations