Duncan Quincey

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Aerospace Engineering — 12 citations into it
• Environmental Engineering — 10 citations into it
• Geology — 9 citations into it

Whom Duncan Quincey trusts overall

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

1. David G. Lowe
2. S. M. Seitz
3. Yasutaka Furukawa
4. Arko Lucieer
5. David Nistér
6. Shimon Ullman
7. Darren Turner
8. Richard Szeliski
9. Andrew Zisserman
10. Philip H. S. Torr

Papers from Duncan Quincey's perspective

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

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Object recognition from local scale-invariant features
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Structure from motion photogrammetry in physical geography (2016) — 707 citations