Jianing Shi
Computer Vision and Pattern Recognition · 2008
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it; #8,162 of 21,575 by trust here, #19,310 by citations
Whom Jianing Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antonin Chambolle
- Stanley J. Osher
- Tony F. Chan
- Gilles Aubert
- Jean-François Aujol
- Jianhong Shen
- Martin Burger
- Yves Meyer
- Nir A. Sochen
Who trusts Jianing Shi overall
- Gabriele Steidl
- Andrea Massa
- Fabrizio Argenti
- Vishal M. Patel
- Tanja Teuber
- Paolo Rocca
- Alessandro Lapini
- Glenn R. Easley
- Giacomo Oliveri
- Tiziano Bianchi
Papers from Jianing Shi's perspective
Ordered by how strongly the researchers Jianing Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- An Algorithm for Total Variation Minimization and Applications (Journal of Mathematical Imaging and Vision)
- Nonlinear total variation based noise removal algorithms
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- Image processing and analysis - variational, PDE, wavelet, and stochastic methods
- A Variational Approach to Removing Multiplicative Noise (SIAM Journal on Applied Mathematics)
- Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing (Journal of Scientific Computing)
- Practical, Unified, Motion and Missing Data Treatment in Degraded Video (Journal of Mathematical Imaging and Vision)
- Image Decomposition into a Bounded Variation Component and an Oscillating Component (Journal of Mathematical Imaging and Vision)
- Functions of Bounded Variation and Free Discontinuity Problems
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
Their papers
- A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model (2008) — 309 citations