Nicola Montecchio

Signal Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 8 citations into it

Whom Nicola Montecchio trusts overall

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

1. Diederik P. Kingma
2. Tuomas Virtanen

Who trusts Nicola Montecchio overall

1. Romain Hennequin
2. Dan Stowell

Papers from Nicola Montecchio's perspective

Ordered by how strongly the researchers Nicola Montecchio trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Fully convolutional networks for semantic segmentation
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Colorful Image Colorization
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Singing Voice Separation with Deep U-Net Convolutional Networks (2017) — 462 citations