Stefano Rosa

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 221 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 109 citations into it
• Computational Mechanics — 71 citations into it
• 3D Vision & Pose — 35 citations into it
• Generative Models — 32 citations into it
• Computer Graphics and Computer-Aided Design — 28 citations into it
• Artificial Intelligence — 15 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Stefano Rosa trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Ross B. Girshick
8. Ilya Sutskever
9. Jimmy Ba
10. Karen Simonyan

Papers from Stefano Rosa's perspective

Ordered by how strongly the researchers Stefano Rosa 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (2019) — 2,046 citations
• 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations (2018) — 28 citations
• 3D Object Dense Reconstruction from a Single Depth View (2018) — 29 citations