Fayçal Hamdaoui

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 257 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it
• Artificial Intelligence — 44 citations into it
• Aerospace Engineering — 11 citations into it

Whom Fayçal Hamdaoui trusts overall

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

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

Papers from Fayçal Hamdaoui's perspective

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

Their papers

• A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets (2021) — 449 citations