Interactive stereo image segmentation via adaptive prior selection
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DOI: 10.1007/s11042-018-6067-5
Abstract: Interactive stereo image segmentation (i.e., cutting out objects from stereo pairs with limited user assistance) is an important research topic in computer vision. Given a pair of images, users mark a few foreground/background pixels, based… read more here.
Keywords: image; stereo image; stereo; interactive stereo ... See more keywords
Efficient Hybrid Feature Interaction Network for Stereo Image Super-Resolution
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DOI: 10.1109/tmm.2024.3405626
Abstract: It is very challenging to fully use cross-view information for stereo image super-resolution. Previous methods using pixel-based parallax-attention mechanisms do not consider neighborhood pixels. Also, they typically use convolutions for basic feature extraction, which may… read more here.
Keywords: stereo image; image super; interaction; super resolution ... See more keywords
Parallax Attention for Unsupervised Stereo Correspondence Learning
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DOI: 10.1109/tpami.2020.3026899
Abstract: Stereo image pairs encode 3D scene cues into stereo correspondences between the left and right images. To exploit 3D cues within stereo images, recent CNN based methods commonly use cost volume techniques to capture stereo… read more here.
Keywords: parallax attention; stereo; stereo image; stereo correspondence ... See more keywords
Stereo Image Restoration via Attention-Guided Correspondence Learning
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DOI: 10.1109/tpami.2024.3357709
Abstract: Although stereo image restoration has been extensively studied, most existing work focuses on restoring stereo images with limited horizontal parallax due to the binocular symmetry constraint. Stereo images with unlimited parallax (e.g., large ranges and… read more here.
Keywords: stereo image; attention; attention guided; image restoration ... See more keywords