Shiva Nand Singh

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 7 citations into it
• Biomedical Engineering — 6 citations into it
• Model Architectures — 5 citations into it
• Signal Processing — 5 citations into it

Whom Shiva Nand Singh trusts overall

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

1. Attila Reiss
2. Zhicheng Cui
3. Nils Y. Hammerla
4. Yann LeCun
5. Yoshua Bengio

Papers from Shiva Nand Singh's perspective

Ordered by how strongly the researchers Shiva Nand 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
10. Going deeper with convolutions

Their papers

• Multi-input CNN-GRU based human activity recognition using wearable sensors (2021) — 367 citations