Bourahla Omar

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 3 papers; trusts 867 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 203 citations into it
• Artificial Intelligence — 113 citations into it
• Generative Models — 90 citations into it
• Representation & Self-Supervised Learning — 29 citations into it
• Optimization & Training — 24 citations into it
• Model Architectures — 21 citations into it
• Signal Processing — 17 citations into it
• Media Technology — 15 citations into it

Whom Bourahla Omar trusts overall

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

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

Papers from Bourahla Omar's perspective

Ordered by how strongly the researchers Bourahla Omar 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• What and Where: Learn to Plug Adapters via NAS for Multidomain Learning (2020) — 21 citations
• Few-Shot Class-Incremental Learning via Feature Space Composition (2020) — 6 citations
• A Survey on Generative Adversarial Networks: Variants, Applications, and Training (2020) — 364 citations