Shah Nawaz

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Shah Nawaz trusts overall

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

1. Lior Rokach
2. Mark Everingham
3. Alex Krizhevsky
4. Tomas Mikolov

Papers from Shah Nawaz's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Efficient Estimation of Word Representations in Vector Space
3. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Multimodal Classification Fusion in Real-World Scenarios (2017) — 42 citations