Ming Zhao

Computer Vision and Pattern Recognition · with Adam · 2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #21,066 of 21,575 by trust here, #11,721 by citations

Whom Ming Zhao trusts overall

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

1. David G. Lowe
2. Radford M. Neal
3. Krystian Mikolajczyk
4. James Hays

Who trusts Ming Zhao overall

1. Tobias Weyand

Papers from Ming Zhao's perspective

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

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Object recognition from local scale-invariant features
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Pattern Recognition and Machine Learning
6. Video Google: a text retrieval approach to object matching in videos
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Caltech-256 Object Category Dataset

Their papers

• Tour the world: Building a web-scale landmark recognition engine (2009) — 423 citations