Pietro Fronte

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it

Whom Pietro Fronte trusts overall

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

1. Kaiming He

Papers from Pietro Fronte's perspective

Ordered by how strongly the researchers Pietro Fronte 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. Unsupervised Visual Representation Learning by Context Prediction
5. Gradient-based learning applied to document recognition
6. Extracting and composing robust features with denoising autoencoders
7. Going deeper with convolutions
8. Colorful Image Colorization
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The color out of space: learning self-supervised representations for Earth Observation imagery (2020) — 65 citations