Filippo Aleotti

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Media Technology — 15 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Artificial Intelligence — 7 citations into it

Whom Filippo Aleotti trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yarin Gal
4. Heiko Hirschmüller
5. Alex Graves
6. Diederik P. Kingma
7. Kaiming He
8. Yann LeCun
9. Yoshua Bengio
10. Jia Deng

Who trusts Filippo Aleotti overall

1. Ning Zhang

Papers from Filippo Aleotti's perspective

Ordered by how strongly the researchers Filippo Aleotti trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• On the Uncertainty of Self-Supervised Monocular Depth Estimation (2020) — 327 citations