Mohmed Abid

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it
• Generative Models — 52 citations into it

Whom Mohmed Abid trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Tero Karras
4. Alex Krizhevsky

Papers from Mohmed Abid's perspective

Ordered by how strongly the researchers Mohmed Abid 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. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
6. Improved Techniques for Training GANs
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Generative Adversarial Networks for Face Generation: A Survey (2022) — 277 citations