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Showing 1 to 7 of 7 for “"Scene Parsing"”.

  1. Visual and auditory scene parsing

    Scene parsing is a fundamental topic in computer vision and computational audition, where people develop computational approaches to achieve human perceptual system's ability in understanding scenes, e.g. group visual regions of an image into objects and segregate sound components in a noisy …

    mit Repository record for Visual and auditory scene parsing (opens in a new tab)

  2. Urban scene parsing via low-rank texture patches

    Automatic 3-D reconstruction of city scenes from ground, aerial, and satellite imagery is a difficult problem that has seen active research for nearly two decades. The problem is difficult because many algorithms require salient areas in the image to be identified and segmented, a task that is …

    mit Repository record for Urban scene parsing via low-rank texture patches (opens in a new tab)

  3. Use of shot/scene parsing in generating and browsing video databases

    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.

    mit Repository record for Use of shot/scene parsing in generating and browsing video databases (opens in a new tab)

  4. StructureTransfer: A Scene Parsing Framework via Graph Matching for Images and Point Clouds

    Scene parsing is to densely label the pixels in an image with the semantic categories. In this thesis, we present a scene parsing framework which can work on both images and point clouds. To this end, we develop two separate pipelines for images and point clouds. For point clouds, a coarse …

    calgary Repository record for StructureTransfer: A Scene Parsing Framework via Graph Matching for Images and Point Clouds (opens in a new tab)

  5. Classification of soil surface texture using high-resolution RGB images captured under uncontrolled field conditions

    … U-shaped Neural Network (UNet), Pyramid Scene Parsing Network (PSPNet), and DeepLab v3+ models to choose the best for semantic segmentation. The trained segmentation model produces masks used to eliminate non-soil pixels from the images. This process produces new images with random 0 …

    regina Repository record for Classification of soil surface texture using high-resolution RGB images captured under uncontrolled field conditions (opens in a new tab)

  6. Convex decomposition of indoor scenes

    Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01

    uiuc Repository record for Convex decomposition of indoor scenes (opens in a new tab)

  7. Learning controllable visual representations: advancing spatial and 3D primitive guidance for image synthesis

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms

    uiuc Repository record for Learning controllable visual representations: advancing spatial and 3D primitive guidance for image synthesis (opens in a new tab)