Satya Prakash Singh

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Artificial Intelligence — 31 citations into it
• Biomedical Engineering — 22 citations into it
• Model Architectures — 12 citations into it

Whom Satya Prakash Singh trusts overall

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

1. Christian Szegedy
2. Geoffrey E. Hinton
3. Kaiming He
4. Sergey Ioffe
5. Alex Krizhevsky
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Qi-Yan Dou
10. Diederik P. Kingma

Who trusts Satya Prakash Singh overall

1. Elangovan Ramanujam
2. S. Suganyadevi
3. Daniel J. Beutel
4. Thinagaran Perumal
5. V. Seethalakshmi

Papers from Satya Prakash Singh's perspective

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

Their papers

• Deep ConvLSTM With Self-Attention for Human Activity Decoding Using Wearable Sensors (2020) — 156 citations
• 3D Deep Learning on Medical Images: A Review (2020) — 569 citations