Federico Tombari

Computer Vision and Pattern Recognition · with Choromanski · 2022

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 103 citations into it
• Artificial Intelligence — 91 citations into it

Whom Federico Tombari trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yoshua Bengio
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Ross B. Girshick
8. Yann LeCun
9. Andrew Zisserman
10. Karen Simonyan

Papers from Federico Tombari's perspective

Ordered by how strongly the researchers Federico Tombari 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Microsoft COCO: Common Objects in Context

Their papers

• Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language (2022) — 742 citations