Xiaolin Li

Computer Vision and Pattern Recognition · with Apley · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Statistics and Probability — 5 citations into it

Whom Xiaolin Li trusts overall

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

1. Ilya M. Sobol
2. Jeremy S. De Bonet
3. B. Thompson

Papers from Xiaolin Li's perspective

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

1. This PDF file includes: Materials and Methods
2. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
3. ImageNet classification with deep convolutional neural networks
4. A global geometric framework for nonlinear dimensionality reduction.
5. Nonlinear dimensionality reduction by locally linear embedding.
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
8. Gradient-based learning applied to document recognition
9. The Laplacian Pyramid as a Compact Image Code
10. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

Their papers

• Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques (2018) — 413 citations
• Constitutive model for high temperature deformation of titanium alloys using internal state variables (2010) — 147 citations