Vittorio La Barbera

Computational Mechanics · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 21 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Computer Graphics and Computer-Aided Design — 10 citations into it

Whom Vittorio La Barbera trusts overall

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

1. Charles Ruizhongtai Qi
2. Kaiming He
3. Markus H. Gross
4. Frédéric Cazals
5. Shachar Fleishman
6. Hao Su
7. Geoffrey E. Hinton
8. Daniel Cohen-Or
9. Alex Krizhevsky
10. X. Zhang

Papers from Vittorio La Barbera's perspective

Ordered by how strongly the researchers Vittorio La Barbera 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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

• PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds (2019) — 406 citations