Luca Erculiani

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 14 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Luca Erculiani trusts overall

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

1. Jia Deng
2. Kaiming He
3. Vincenzo Lomonaco
4. Yoshua Bengio
5. Xiatian Zhu
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Abhijit Bendale
9. Gregory R. Koch
10. Diederik P. Kingma

Papers from Luca Erculiani's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Continual egocentric object recognition (2019) — 15 citations