位置：成果数据库 > 会议 > 会议详情页
Manifold regularized sparse support regression for single image super-resolution
  • 所属机构名称：武汉大学
  • 会议名称：ICASSP 2013
  • 时间：2013.5
  • 成果类型：会议
  • 相关项目：面向极低质量监控图像的鲁棒性人脸超分辨率研究
同会议论文项目
面向极低质量监控图像的鲁棒性人脸超分辨率研究
期刊论文 19 会议论文 26 获奖 2
同项目会议论文
Efficient single image super-resolution via graph embedding
A super-resolution method for low-quality face image through RBF-PLS regression and neighbor embeddi
Face Image Super-Resolution via Nearest Feature Line
Face hallucination via weighted sparese representation
Support-driven sparse coding for face hallucination
Graph Discriminant Analysis on Multi-Manifold (GDAMM): A Novel Super-Resolution Method for Face Reco
Position-patch based face hallucination via locality-constrained representation
A joint learning based face hallucination approach for low quality face image
From local representation to global face hallucination: a novel super-resolution method by nonnegati
Face hallucination based on stepwise sparse reconstruction
Tuning Sparsity for Face Hallucination Representation
Face Hallucination via Re-Identification K-Nearest Neighbors
Locally regularized Anchored Neighborhood Regression for fast Super-Resolution
Robust face super-resolution via position-patch neighborhood preserving
Robust super-resolution for face images via principle component sparse representation
Coupled-layer neighbor embedding for surveillance face hallucination
Graph discriminant analysis on multi-manifold (GDAMM): A novel super-resolution method for face reco
Face hallucination via K-selection mean constrained sparse representation
Locality-constraint iterative neighbor embedding for face hallucination
Noise Face Image Hallucination via Data-Driven Local Eigentransformation
Surveillance face hallucination via variable selection and manifold learning
Super-resolution Person re-identification with semi-coupled low-rank discriminant dictionary learnin
Coupled discriminant multi-manifold analysis with application to low-resolution face recognition
Efficient Learning Based Face Hallucination Approach via Facial Standard Deviation Prior
Gabor-Based Patch Covariance Matrix for Face Sketch Synthesis