Yu-Mei Huang

Computer Vision and Pattern Recognition · 2009

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

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #17,837 of 21,575 by trust here, #19,766 by citations
• Computational Mechanics — 5 citations into it; #8,201 of 10,001 by trust here, #8,566 by citations

Whom Yu-Mei Huang trusts overall

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

1. Antonin Chambolle

Who trusts Yu-Mei Huang overall

1. Gabriele Steidl
2. Fabrizio Argenti
3. Linwei Yue
4. Tanja Teuber
5. Alessandro Lapini
6. Huanfeng Shen

Papers from Yu-Mei Huang's perspective

Ordered by how strongly the researchers Yu-Mei Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Total Variation Minimization and a Class of Binary MRF Models (Energy Minimization Methods in Computer Vision and Pattern Recognition)
2. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
3. Regression Shrinkage and Selection via the Lasso
4. An Algorithm for Total Variation Minimization and Applications (Journal of Mathematical Imaging and Vision)
5. Atomic Decomposition by Basis Pursuit
6. Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing (Journal of Scientific Computing)
7. ImageNet classification with deep convolutional neural networks
8. Image Decomposition into a Bounded Variation Component and an Oscillating Component (Journal of Mathematical Imaging and Vision)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Proximal Algorithms

Their papers

• A New Total Variation Method for Multiplicative Noise Removal (2009) — 320 citations