Results 21 to 30 of about 14,258 (262)
Fine-Grained Categorization for 3D Scene Understanding [PDF]
Procedings of the British Machine Vision Conference 2012, 2012 Fine-grained categorization of object classes is receiving increased attention, since it promises to automate classification tasks that are difficult even for humans, such as the distinction between different animal species. In this paper, we consider fine-grained categorization for a different reason: following the intuition that fine-grained ...
Michael Stark 0003 +6 more
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OpenScene: 3D Scene Understanding with Open Vocabularies
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 CVPR 2023.
Songyou Peng +5 more
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TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes
, 2022 Many basic indoor activities such as eating or writing are always conducted upon different tabletops (e.g., coffee tables, writing desks). It is indispensable to understanding tabletop scenes in 3D indoor scene parsing applications. Unfortunately, it is hard to meet this demand by directly deploying data-driven algorithms, since 3D tabletop scenes are ...
Mutian Xu +3 more
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Automatic Dense Annotation for Monocular 3D Scene Understanding
IEEE Access, 2020 Deep neural networks have revolutionized many areas of computer vision, but they require notoriously large amounts of labeled training data. For tasks such as semantic segmentation and monocular 3d scene layout estimation, collecting high-quality ...
Md Alimoor Reza +4 more
doaj +1 more source
Multimodal Scene Editing Algorithm Integrating CLIP and 3D Gaussian [PDF]
Zhengzhou Daxue xuebao. Gongxue banTo address the issues of excessive reliance on annotated data and high computational complexity in 3D scene editing algorithms, in this study a multimodal scene editing method named CLIP2Gaussian was proposed, which integrated CLIP with 3D Gaussian ...
CAO Yangjie +4 more
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Functionality understanding and segmentation in 3D scenes
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Understanding functionalities in 3D scenes involves interpreting natural language descriptions to locate functional interactive objects, such as handles and buttons, in a 3D environment. Functionality understanding is highly challenging, as it requires both world knowledge to interpret language and spatial perception to identify fine-grained objects ...
Jaime Corsetti +4 more
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3D Scene Modeling And Understanding From Image Sequences
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014 A new method for 3D modeling is proposed, which generates a content-based 3D mosaic (CB3M) representation for long video sequences of 3D, dynamic urban scenes captured by a camera on a mobile platform.
Hao Tang
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Optimization of the Virtual Scene Layout Based on the Optimal 3D Viewpoint
IEEE Access, 2022 At present, visual and parametric designs have been widely used in architectural design, urban planning and landscape design for design inspiration. Highly integrated auxiliary design software has become more prevalent and greatly changed the traditional
Yan Zhang, Gang Yang
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MULTI-TASK LEARNING FROM FIXED-WING UAV IMAGES FOR 2D/3D CITY MODELLING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Single-task learning in artificial neural networks will be able to learn the model very well, and the benefits brought by transferring knowledge thus become limited.
M. R. Bayanlou, M. Khoshboresh-Masouleh
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Sensors, 2021 An algorithm designed for analysis and understanding a 3D urban-type environment by an autonomous flying agent, equipped only with a monocular vision, is presented.
Andrzej Bielecki, Piotr Śmigielski
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