Gun A. Lee

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it
• Human-Computer Interaction — 32 citations into it
• Aerospace Engineering — 24 citations into it
• Cognitive Neuroscience — 8 citations into it
• Geology — 5 citations into it

Whom Gun A. Lee trusts overall

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

1. Daniel Wagner
2. Mark Billinghurst
3. Vincent Lepetit
4. Neil A. Dodgson
5. David G. Lowe
6. Herbert Bay
7. Dieter Schmalstieg
8. Edward Rosten
9. Tom Drummond
10. Yan Ke

Papers from Gun A. Lee's perspective

Ordered by how strongly the researchers Gun A. Lee 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Machine Learning for High-Speed Corner Detection (European Conference on Computer Vision)
7. Parallel Tracking and Mapping for Small AR Workspaces
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. PCA-SIFT: a more distinctive representation for local image descriptors

Their papers

• Mini-Me: An Adaptive Avatar for Mixed Reality Remote Collaboration (2018) — 374 citations
• Pinpointing: Precise Head- and Eye-Based Target Selection for Augmented Reality (2018) — 321 citations
• A Survey of Augmented Reality (2015) — 682 citations