Arti Singh

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 26 citations into it

Whom Arti Singh trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Xavier Glorot
5. Karen Simonyan
6. Yann LeCun

Who trusts Arti Singh overall

1. Tanzeel U. Rehman
2. Chad DeChant
3. Lili Li
4. Muhammad Hammad Saleem

Papers from Arti Singh's perspective

Ordered by how strongly the researchers Arti 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Plant disease identification using explainable 3D deep learning on hyperspectral images (2019) — 336 citations
• Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives. (2018) — 510 citations
• An explainable deep machine vision framework for plant stress phenotyping (2018) — 472 citations
• Machine Learning for High-Throughput Stress Phenotyping in Plants. (2016) — 928 citations