Insaf Adjabi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 218 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it
• Signal Processing — 34 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Insaf Adjabi trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Gary B. Huang
4. Karen Simonyan
5. Ilya Sutskever
6. Andrew Zisserman
7. Kaiming He
8. Yann LeCun
9. Yoshua Bengio
10. Yi Sun

Papers from Insaf Adjabi's perspective

Ordered by how strongly the researchers Insaf Adjabi 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. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Past, Present, and Future of Face Recognition: A Review (2020) — 499 citations