Lorenzo Natale
Computer Vision and Pattern Recognition · 2006–2018
A researcher in the Science corpus: 13 papers; trusts 205 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 69 citations into it; #12,016 of 21,575 by trust here, #14,478 by citations
- Artificial Intelligence — 51 citations into it; #17,511 of 35,345 by trust here, #17,776 by citations
- Control and Systems Engineering — 19 citations into it; #2,860 of 8,257 by trust here, #1,718 by citations
- Model Architectures — 11 citations into it
- Optimization & Training — 9 citations into it
- Social Psychology — 9 citations into it
- Statistical Learning Theory — 8 citations into it
- Biophysics — 5 citations into it
Whom Lorenzo Natale trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Giorgio Metta
- Yann LeCun
- Ilya Sutskever
- Kaiming He
- Karen Simonyan
- Yoshua Bengio
- Yangqing Jia
- Ross B. Girshick
Who trusts Lorenzo Natale overall
- Vincenzo Lomonaco
- Lorenzo Jamone
- Pedro Vicente
- German Ignacio Parisi
- Jan Hodický
- Giulia Pasquale
- Tyler L. Hayes
- Zhanat Kappasov
- Davide Maltoni
- Stephen Hart
Papers from Lorenzo Natale's perspective
Ordered by how strongly the researchers Lorenzo Natale trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network (2016) — 59 citations
- YARP: Yet Another Robot Platform (2006) — 741 citations
- The iCub humanoid robot: an open platform for research in embodied cognition (2008) — 437 citations
- Methods and Technologies for the Implementation of Large-Scale Robot Tactile Sensors (2011) — 403 citations
- The iCub humanoid robot: An open-systems platform for research in cognitive development (2010) — 623 citations
- Autonomous Online Learning of Reaching Behavior in a humanoid Robot (2012) — 55 citations
- Progress in Neuroengineering for brain repair: New challenges and open issues (2018) — 33 citations
- Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time (2016) — 5 citations
- Incremental robot learning of new objects with fixed update time (2016) — 44 citations
- Highly Sensitive Soft Tactile Sensors for an Anthropomorphic Robotic Hand (2015) — 144 citations
- Teaching iCub to recognize objects using deep Convolutional Neural Networks (2015) — 55 citations
- Autonomous online generation of a motor representation of the workspace for intelligent whole-body reaching (2014) — 30 citations
- iCub World: Friendly Robots Help Building Good Vision Data-Sets (2013) — 31 citations