Salvator Lombardo

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Generative Models — 17 citations into it
• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Signal Processing — 5 citations into it

Whom Salvator Lombardo trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Johannes Ballé
5. Alex Krizhevsky
6. Yann LeCun
7. David M. Blei
8. Chelsea Finn
9. Danilo Jimenez Rezende
10. Ilya Sutskever

Who trusts Salvator Lombardo overall

1. AmirHossein Habibian

Papers from Salvator Lombardo's perspective

Ordered by how strongly the researchers Salvator Lombardo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Probabilistic Video Compression (2018) — 24 citations