Stefano Mattoccia

Computer Vision and Pattern Recognition · 2004–2022

A researcher in the Science corpus: 4 papers; trusts 282 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 110 citations into it; #13,649 of 21,575 by trust here, #15,529 by citations
• Media Technology — 40 citations into it; #2,079 of 3,621 by trust here, #3,091 by citations
• Aerospace Engineering — 22 citations into it
• Artificial Intelligence — 17 citations into it
• Evaluation & Benchmarks — 17 citations into it
• 3D Vision & Pose — 11 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Stefano Mattoccia trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yann LeCun
5. Heiko Hirschmüller
6. Diederik P. Kingma
7. Andreas Geiger
8. Yoshua Bengio
9. Ilya Sutskever
10. Jia Deng

Who trusts Stefano Mattoccia overall

1. Roberto Quevedo

Papers from Stefano Mattoccia's perspective

Ordered by how strongly the researchers Stefano Mattoccia 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer (2022) — 309 citations
• On the Uncertainty of Self-Supervised Monocular Depth Estimation (2020) — 327 citations
• Real-Time Self-Adaptive Deep Stereo (2018) — 296 citations
• A fast area-based stereo matching algorithm (2004) — 344 citations