Valentina Sanguineti

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 77 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 — 17 citations into it
• Multimodal Learning — 15 citations into it
• Signal Processing — 15 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Valentina Sanguineti trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Yann LeCun
5. Yoshua Bengio
6. Andrew Zisserman
7. Alex Krizhevsky
8. Sergey Ioffe
9. Antonio Torralba
10. Christian Szegedy

Who trusts Valentina Sanguineti overall

1. Jianping Gou

Papers from Valentina Sanguineti's perspective

Ordered by how strongly the researchers Valentina Sanguineti 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Audio-Visual Model Distillation Using Acoustic Images (2019) — 31 citations
• Learning Switching Models for Abnormality Detection for Autonomous Driving (2018) — 43 citations