Carl Salvaggio

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 260 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #11,387 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 14 citations into it
• Media Technology — 10 citations into it; #1,590 of 3,621 by trust here, #2,280 by citations
• Model Architectures — 5 citations into it

Whom Carl Salvaggio trusts overall

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

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

Who trusts Carl Salvaggio overall

1. Mengmeng Zhang
2. Ava Vali
3. Xiaohui Yuan
4. Xian Sun

Papers from Carl Salvaggio's perspective

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

Their papers

• Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning (2017) — 527 citations