Name:
Choudhury_Consensus_Convolutional_Sparse_ICCV_2017_paper.pdf
Size:
1.325Mb
Format:
PDF
Description:
Accepted Manuscript
Type
Conference PaperKAUST Department
Visual Computing Center, King Abdullah University of Science and Technology (KAUST)Date
2017-12-25Online Publication Date
2017-12-25Print Publication Date
2017-10Permanent link to this record
http://hdl.handle.net/10754/626836
Metadata
Show full item recordAbstract
Convolutional sparse coding (CSC) is a promising direction for unsupervised learning in computer vision. In contrast to recent supervised methods, CSC allows for convolutional image representations to be learned that are equally useful for high-level vision tasks and low-level image reconstruction and can be applied to a wide range of tasks without problem-specific retraining. Due to their extreme memory requirements, however, existing CSC solvers have so far been limited to low-dimensional problems and datasets using a handful of low-resolution example images at a time. In this paper, we propose a new approach to solving CSC as a consensus optimization problem, which lifts these limitations. By learning CSC features from large-scale image datasets for the first time, we achieve significant quality improvements in a number of imaging tasks. Moreover, the proposed method enables new applications in high-dimensional feature learning that has been intractable using existing CSC methods. This is demonstrated for a variety of reconstruction problems across diverse problem domains, including 3D multispectral demosaicing and 4D light field view synthesis.Citation
Choudhury, B., Swanson, R., Heide, F., Wetzstein, G., & Heidrich, W. (2017). Consensus Convolutional Sparse Coding. 2017 IEEE International Conference on Computer Vision (ICCV). doi:10.1109/iccv.2017.459Sponsors
VCC KAUST Baseline Funding, Terman Faculty Fellowship, Intel Compressive Sensing Alliance, National Science Foundation (IIS 1553333), and NSF/Intel Partnership on Visual and Experiential Computing (IIS 1539120).Journal
IEEE XploreConference/Event name
International Conference on Computer Vision (ICCV)Additional Links
http://ieeexplore.ieee.org/document/8237721/ae974a485f413a2113503eed53cd6c53
10.1109/ICCV.2017.459