Ali Imran
Computer Vision and Pattern Recognition · 2013–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Ali Imran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karol J. Piczak
- Diederik P. Kingma
- L. V. D. van der Maaten
- Sinno Jialin Pan
- Geoffrey E. Hinton
- Jimmy Ba
- Qiang Yang
- Kyunghwan Son
- Alex Krizhevsky
- Yoshua Bengio
Who trusts Ali Imran overall
Papers from Ali Imran's perspective
Ordered by how strongly the researchers Ali Imran trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Survey of Self Organisation in Future Cellular Networks (2013) — 419 citations
- AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app (2020) — 546 citations