Rocco De Rosa

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Human-Computer Interaction — 6 citations into it

Whom Rocco De Rosa trusts overall

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

1. Navneet Dalal
2. Konrad Schindler
3. Li Liu
4. Robert Krauthgamer
5. Piotr Doll'ar
6. Christian Schüldt
7. Rizwan Ahmed Chaudhry
8. Jonathan Alon
9. Bill Triggs
10. Jiang Wang

Papers from Rocco De Rosa's perspective

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

Their papers

• Online Action Recognition via Nonparametric Incremental Learning (2014) — 20 citations