Giorgio Metta
Computer Vision and Pattern Recognition · 1993–2016
A researcher in the Science corpus: 17 papers; trusts 164 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 59 citations into it; #14,808 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 44 citations into it; #7,077 of 35,345 by trust here, #7,413 by citations
- Cognitive Neuroscience — 41 citations into it; #9,645 of 10,852 by trust here, #2,652 by citations
- Biomedical Engineering — 32 citations into it; #4,049 of 10,734 by trust here, #2,647 by citations
- Social Psychology — 27 citations into it; #3,656 of 15,694 by trust here, #3,409 by citations
- Control and Systems Engineering — 25 citations into it; #1,061 of 8,257 by trust here, #688 by citations
- Developmental and Educational Psychology — 15 citations into it
- Model Architectures — 15 citations into it
Whom Giorgio Metta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Lynn Breazeal
- David E. Rumelhart
- Geoffrey E. Hinton
- C. Von Hofsten
- Teuvo Kohonen
- Yoshua Bengio
- Stephen Grossberg
- James L. McClelland
- J. Weng
- Roland S. Johansson
Who trusts Giorgio Metta overall
- Lorenzo Jamone
- Stephen Hart
- Jan Hodický
- Pierre-Yves Oudeyer
- Pedro Vicente
- Zhanat Kappasov
- Lorenzo Natale
- Lars Fritsche
- Giulia Pasquale
- Manuel Lopes
Papers from Giorgio Metta's perspective
Ordered by how strongly the researchers Giorgio Metta trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Please Scroll down for Article Connection Science Developmental Robotics: a Survey Developmental Robotics: a Survey (2003) — 720 citations
- YARP: Yet Another Robot Platform (2006) — 741 citations
- An auto-encoder based approach to unsupervised learning of subword units (2014) — 83 citations
- Tactile Sensing—From Humans to Humanoids (2010) — 1,647 citations
- The iCub humanoid robot: an open platform for research in embodied cognition (2008) — 437 citations
- One-Shot Learning for Real-Time Action Recognition (2013) — 32 citations
- A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents (2007) — 472 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
- Piezoelectric oxide semiconductor field effect transistor touch sensing devices (2009) — 166 citations
- Autonomous Online Learning of Reaching Behavior in a humanoid Robot (2012) — 55 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
- iCub World: Friendly Robots Help Building Good Vision Data-Sets (2013) — 31 citations
- Sensory prediction for autonomous robots (2007) — 13 citations
- A Vision-Based Learning Method for Pushing Manipulation (1993)