Tommaso Dreossi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it
• Generative Models — 6 citations into it

Whom Tommaso Dreossi trusts overall

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

1. Marco Marchesi
2. Individualized Treat
3. I. Van Mechelen
4. Abhinav Shrivastava
5. Ross B. Girshick
6. Alex Krizhevsky
7. Sebastien C. Wong
8. Geoffrey E. Hinton
9. Kaiming He
10. Yann LeCun

Papers from Tommaso Dreossi's perspective

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

Their papers

• Counterexample-Guided Data Augmentation (2018) — 68 citations
• Scenic: a language for scenario specification and scene generation (2018) — 325 citations