Khandaker Reajul Islam

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it

Whom Khandaker Reajul Islam trusts overall

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

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

Papers from Khandaker Reajul Islam's perspective

Ordered by how strongly the researchers Khandaker Reajul Islam trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Going deeper with convolutions
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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
• Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization (2020) — 540 citations