Youssef Tamaazousti

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 172 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #18,170 of 21,575 by trust here, #20,756 by citations
• Artificial Intelligence — 36 citations into it; #29,557 of 35,345 by trust here, #33,294 by citations
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Youssef Tamaazousti trusts overall

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

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

Who trusts Youssef Tamaazousti overall

1. Eden Belouadah
2. Adrian Daniel Popescu

Papers from Youssef Tamaazousti's perspective

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

Their papers

• Learning More Universal Representations for Transfer-Learning (2017) — 60 citations