Max W. K. Law

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Max W. K. Law trusts overall

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

1. Stéphane Mallat
2. Kourosh Jafari-Khouzani
3. Timo Ojala
4. Kristin J. Dana

Who trusts Max W. K. Law overall

1. Li Liu
2. Paul W. Fieguth

Papers from Max W. K. Law's perspective

Ordered by how strongly the researchers Max W. K. Law trusts endorse each paper. Same corpus, a different order for every researcher.

1. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
2. Reflectance and texture of real-world surfaces
3. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
4. Digital image processing
5. Radon transform orientation estimation for rotation invariant texture analysis (IEEE Transactions on Pattern Analysis and Machine Intelligence)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Distinctive Image Features from Scale-Invariant Keypoints
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Outex - new framework for empirical evaluation of texture analysis algorithms (Object recognition supported by user interaction for service robots)
10. ImageNet classification with deep convolutional neural networks

Their papers

• Dominant Local Binary Patterns for Texture Classification (2009) — 845 citations