Luiza Mici

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 96 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 63 citations into it; #17,649 of 21,575 by trust here, #20,271 by citations
• Artificial Intelligence — 42 citations into it
• Cognitive Neuroscience — 32 citations into it
• Social Psychology — 24 citations into it
• Control and Systems Engineering — 23 citations into it
• Human-Computer Interaction — 14 citations into it; #1,752 of 2,253 by trust here, #2,185 by citations
• Biomedical Engineering — 9 citations into it
• Signal Processing — 6 citations into it

Whom Luiza Mici trusts overall

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

1. German Ignacio Parisi
2. Teuvo Kohonen
3. Bernd Fritzke
4. Stefan Wermter
5. David G. Lowe
6. Guilherme de Alencar Barreto
7. Cornelius Weber
8. Gurkirt Singh
9. Stephen R. Marsland
10. Martin A. Giese

Who trusts Luiza Mici overall

1. German Ignacio Parisi
2. Stefan Wermter

Papers from Luiza Mici's perspective

Ordered by how strongly the researchers Luiza Mici 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction (2017) — 17 citations
• A self-organizing neural network architecture for learning human-object interactions (2017) — 35 citations
• Recognition of Transitive Actions with Hierarchical Neural Network Learning (2016) — 5 citations