Graham D. Riley

Computer Vision and Pattern Recognition · 2019

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 — 12 citations into it
• Artificial Intelligence — 10 citations into it
• Hardware and Architecture — 10 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Information Systems — 5 citations into it

Whom Graham D. Riley trusts overall

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

1. Pedro M. Domingos
2. Albert Bifet
3. Russ Joseph
4. Benjamin C. Lee
5. David M. Brooks
6. Yakun Sophia Shao

Papers from Graham D. Riley's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. Caffe: Convolutional Architecture for Fast Feature Embedding
3. Rethinking the Inception Architecture for Computer Vision
4. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Estimation of energy consumption in machine learning (2019) — 492 citations