Publication date
January 2013
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE) Citation count (estimate)
2Abstract
10.1109/ICIP.2013.67386282013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings3049-305
10.1109/ICIP.2013.67386282013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings3049-305
10.1109/CVPR.2012.6247688Proceedings of the IEEE Computer Society Conference on Computer Vision and ...
While working with digital noise reduction techniques, which are based on theory of convolution matr...
This paper describes the initial results of a project to create a self-supervised algorithm for lear...
Semantic boundary and edge detection aims at simultaneously detecting object edge pixels in images a...
10.1109/ICIP.2012.6467083Proceedings - International Conference on Image Processing, ICIP1209-121
Boundaries are the key cue to differentiate objects from each other and the background. However whet...
Boundaries play a crucial role in various image-based tasks, but many existing non-learning-based bo...
10.1109/ICIP.2010.5650912Proceedings - International Conference on Image Processing, ICIP1053-105
Photographic images reduce the three dimensional world they are capturing into a 2D plane. There are...
Abstract—Boundary detection is a fundamental computer vision problem that is essential for a variety...
Object boundary detection and segmentation is a central problem in computer vision. The importance o...
Boundary detection is a fundamental computer vision problem that is essential for a variety of tasks...
IEEE International Conference on Neural Networks - Conference Proceedings31663-1668ICNN
From the ground truth (a—instances: color-coded), the boundary representation (b—cell interior: gray...
An efficient depth map recovery algorithm, using concurrent object boundaries in texture and depth s...
10.1109/CVPR.2012.6247688Proceedings of the IEEE Computer Society Conference on Computer Vision and ...
While working with digital noise reduction techniques, which are based on theory of convolution matr...
This paper describes the initial results of a project to create a self-supervised algorithm for lear...
Semantic boundary and edge detection aims at simultaneously detecting object edge pixels in images a...
10.1109/ICIP.2012.6467083Proceedings - International Conference on Image Processing, ICIP1209-121
Boundaries are the key cue to differentiate objects from each other and the background. However whet...
Boundaries play a crucial role in various image-based tasks, but many existing non-learning-based bo...
10.1109/ICIP.2010.5650912Proceedings - International Conference on Image Processing, ICIP1053-105
Photographic images reduce the three dimensional world they are capturing into a 2D plane. There are...
Abstract—Boundary detection is a fundamental computer vision problem that is essential for a variety...
Object boundary detection and segmentation is a central problem in computer vision. The importance o...
Boundary detection is a fundamental computer vision problem that is essential for a variety of tasks...
IEEE International Conference on Neural Networks - Conference Proceedings31663-1668ICNN
From the ground truth (a—instances: color-coded), the boundary representation (b—cell interior: gray...
An efficient depth map recovery algorithm, using concurrent object boundaries in texture and depth s...
10.1109/CVPR.2012.6247688Proceedings of the IEEE Computer Society Conference on Computer Vision and ...
While working with digital noise reduction techniques, which are based on theory of convolution matr...
This paper describes the initial results of a project to create a self-supervised algorithm for lear...
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