S. Singh

Computer Vision and Pattern Recognition · with Albuquerque · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it

Whom S. Singh trusts overall

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

1. Alex Krizhevsky
2. Christian Szegedy
3. Diederik P. Kingma
4. Yann LeCun
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Ilya Sutskever
8. Jimmy Ba
9. Gao Huang
10. Kaiming He

Who trusts S. Singh overall

1. Aras Masood Ismael
2. Mohamed Loey

Papers from S. Singh's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Going deeper with convolutions
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images (2020) — 633 citations