Sara Atito Ali Ahmed

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 300 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Artificial Intelligence — 44 citations into it
• Representation & Self-Supervised Learning — 39 citations into it
• Model Architectures — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Sara Atito Ali Ahmed trusts overall

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

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

Who trusts Sara Atito Ali Ahmed overall

1. Jinghao Zhou
2. Yucheng Tang
3. Chen Wei

Papers from Sara Atito Ali Ahmed's perspective

Ordered by how strongly the researchers Sara Atito Ali Ahmed 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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

• SiT: Self-supervised vIsion Transformer (2021) — 166 citations