Davide Modolo

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 193 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #16,950 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 18 citations into it; #27,703 of 35,345 by trust here, #25,809 by citations

Whom Davide Modolo trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Matthew D. Zeiler
6. Kaiming He
7. David G. Lowe
8. Ilya Sutskever
9. Andrea Vedaldi
10. Andrew Zisserman

Who trusts Davide Modolo overall

1. Edo Collins
2. Yash Goyal

Papers from Davide Modolo's perspective

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

Their papers

• Do Semantic Parts Emerge in Convolutional Neural Networks? (2016) — 118 citations