Muhammad Abdul Kadir

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it

Whom Muhammad Abdul Kadir trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Karen Simonyan
4. Yann LeCun
5. Christian Szegedy
6. Ilya Sutskever
7. Gao Huang

Papers from Muhammad Abdul Kadir's perspective

Ordered by how strongly the researchers Muhammad Abdul Kadir 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Rethinking the Inception Architecture for Computer Vision

Their papers

• Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray (2020) — 565 citations
• Can AI Help in Screening Viral and COVID-19 Pneumonia? (2020) — 1,586 citations
• Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization (2020) — 540 citations