Cristiano Saltori

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #14,140 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 14 citations into it
• Generative Models — 10 citations into it

Whom Cristiano Saltori trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Tero Karras
4. Alec Radford
5. Alex Krizhevsky
6. Kaiming He
7. Yoshua Bengio
8. Francesco Marra
9. Oriol Vinyals
10. Yann LeCun

Who trusts Cristiano Saltori overall

1. Luisa Verdoliva
2. Yabin Wang
3. Zhiwu Huang
4. Rubén Tolosana

Papers from Cristiano Saltori's perspective

Ordered by how strongly the researchers Cristiano Saltori 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Incremental learning for the detection and classification of GAN-generated images (2019) — 160 citations
• Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound (2020) — 462 citations