Mingyao Ai

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Aerospace Engineering — 13 citations into it

Whom Mingyao Ai trusts overall

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

1. David G. Lowe
2. Yan Ke
3. Jean-Michel Morel
4. Barbara Zitová
5. Francisco P. M. Oliveira
6. Peter Kovesi

Papers from Mingyao Ai's perspective

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

1. Distinctive Image Features from Scale-Invariant Keypoints
2. A Combined Corner and Edge Detector
3. Indexing based on scale invariant interest points (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
4. PCA-SIFT: a more distinctive representation for local image descriptors
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Robust wide-baseline stereo from maximally stable extremal regions
7. ImageNet classification with deep convolutional neural networks
8. ORB: An efficient alternative to SIFT or SURF
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• RIFT: Multi-Modal Image Matching Based on Radiation-Variation Insensitive Feature Transform (2019) — 573 citations