S. Suganyadevi

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 30 citations into it
• Radiology, Nuclear Medicine and Imaging — 19 citations into it
• Neurology — 6 citations into it
• Model Architectures — 5 citations into it

Whom S. Suganyadevi trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Kaiming He
4. Geoffrey E. Hinton
5. Phi Vu Tran
6. Ilya Sutskever
7. Christian Szegedy
8. Yann LeCun
9. Ruslan Salakhutdinov
10. X. Zhang

Papers from S. Suganyadevi's perspective

Ordered by how strongly the researchers S. Suganyadevi 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. Long Short-Term Memory
6. Going deeper with convolutions
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A review on deep learning in medical image analysis (2021) — 382 citations