Maria Cornacchia

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Biomedical Engineering — 16 citations into it
• Artificial Intelligence — 9 citations into it

Whom Maria Cornacchia trusts overall

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

1. Jani Mäntyjärvi
2. Hamed Pirsiavash
3. Michael S. Ryoo
4. Zhenyu He
5. Alireza Fathi
6. Deqing Sun
7. Miikka Ermes
8. Kris M. Kitani
9. Nishkam Ravi
10. Deva Ramanan

Papers from Maria Cornacchia's perspective

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

Their papers

• A Survey on Activity Detection and Classification Using Wearable Sensors (2017) — 378 citations