Marco Cipriano

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 Marco Cipriano trusts overall

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

1. Kaiming He

Papers from Marco Cipriano's perspective

Ordered by how strongly the researchers Marco Cipriano 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. Gradient-based learning applied to document recognition
5. Going deeper with convolutions
6. ImageNet Large Scale Visual Recognition Challenge
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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