Muhammad Ali Shoaib

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it

Whom Muhammad Ali Shoaib trusts overall

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

1. J. G. Arnal Barbedo
2. Jun Liu
3. Tsung-Yi Lin
4. Kaiming He
5. Ross B. Girshick
6. Sharada Prasanna Mohanty
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. David P. Hughes
10. Yann LeCun

Who trusts Muhammad Ali Shoaib overall

1. Wubetu Barud Demilie

Papers from Muhammad Ali Shoaib's perspective

Ordered by how strongly the researchers Muhammad Ali Shoaib 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. Going deeper with convolutions
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• An advanced deep learning models-based plant disease detection: A review of recent research (2023) — 476 citations
• Structural crack detection using deep convolutional neural networks (2022) — 334 citations