Roberto Rocci

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Roberto Rocci trusts overall

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

1. Jianbo Shi
2. Marina Meila

Papers from Roberto Rocci's perspective

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

1. Normalized cuts and image segmentation
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. On Spectral Clustering: Analysis and an algorithm
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Handbook of Cluster Analysis (2015) — 511 citations